CN113542735A - Television detection method, device, equipment and storage medium - Google Patents
Television detection method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN113542735A CN113542735A CN202110764953.5A CN202110764953A CN113542735A CN 113542735 A CN113542735 A CN 113542735A CN 202110764953 A CN202110764953 A CN 202110764953A CN 113542735 A CN113542735 A CN 113542735A
- Authority
- CN
- China
- Prior art keywords
- television
- information
- audio
- video frame
- comparison result
- 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
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 85
- 238000000034 method Methods 0.000 claims abstract description 34
- 238000012545 processing Methods 0.000 claims description 17
- 230000002159 abnormal effect Effects 0.000 claims description 16
- 238000006243 chemical reaction Methods 0.000 claims description 15
- 230000005236 sound signal Effects 0.000 abstract 1
- 230000008569 process Effects 0.000 description 16
- 238000012360 testing method Methods 0.000 description 12
- 238000004891 communication Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 239000000284 extract Substances 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 208000019914 Mental Fatigue Diseases 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007849 functional defect Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/04—Diagnosis, testing or measuring for television systems or their details for receivers
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
Abstract
The invention relates to the technical field of televisions and discloses a television detection method, a television detection device, television detection equipment and a storage medium, wherein the method comprises the following steps: acquiring a first television and a second television to be detected, and acquiring a first audio curve and a second audio curve according to the acquired audio signals of the first television and the second television; comparing the first audio curve with the second audio curve to obtain a first comparison result; decoding the video information according to the collected video information of the first television and the second television, and comparing the decoded first video frame information with the decoded second video frame information to obtain a second comparison result; the operation state of the television is determined according to the first comparison result and the second comparison result, detection of the television is achieved based on the operation state, compared with the prior art that uninterrupted detection of the television is achieved through manual watching, detection efficiency can be effectively improved, and detection cost is reduced.
Description
Technical Field
The present invention relates to the field of television technologies, and in particular, to a method, an apparatus, a device, and a storage medium for detecting a television.
Background
Along with the increasing of living standard, people have higher requirements on the performance and functions of entertainment products in daily life, so that the test requirements of the products in the research stage are higher and more strict, in the test process, not only the functional defects and the performance defects of the products need to be strictly checked, but also the experience of the products needs to be considered, so that the stability of the products needs to be strictly tested, the pressure test of the products is increased, the object of the pressure test is the system stability and the problems which randomly appear or possibly appear, the stability of the system is ensured, the product performance is ensured at the same time, the system of the current television is huge, the functions are numerous, the higher requirements on the system and software test are also needed, in order to ensure the accuracy of the test result, the long-time playing and the operation pressure test become the most important and necessary flow, in the process, the randomly appearing audio and video problems need to be detected and judged in real time, the currently common technical scheme is that the staff can continuously monitor the state for 24 hours, the above scheme can cause physical and mental fatigue of the staff, the testing cost is high, and the detection efficiency of the staff is low under the physical and mental fatigue state.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a method, a device, equipment and a storage medium for detecting a television, and aims to solve the technical problem that the prior art cannot effectively improve the detection efficiency of the television.
In order to achieve the above object, the present invention provides a method for detecting a television, which comprises the following steps:
acquiring a television to be detected, wherein the television comprises a first television and a second television;
respectively acquiring audio information of the first television and the second television in real time, and obtaining a first audio curve and a second audio curve according to the audio information;
comparing the first audio curve with the second audio curve to obtain a first comparison result;
respectively acquiring video information of the first television and the second television in real time, and decoding the video information to obtain first video frame information and second video frame information;
comparing the first video frame information with the second video frame information to obtain a second comparison result;
and determining the running state of the television according to the first comparison result and the second comparison result, and realizing the detection of the television according to the running state.
Optionally, the acquiring, in real time, the audio information of the first television and the second television respectively, and obtaining a first audio curve and a second audio curve according to the audio information includes:
collecting corresponding audio information through preset sound equipment arranged on the first television and the second television;
acquiring preset sound source information, and deleting the preset sound source information in the audio information when the preset sound source information exists in the audio information to obtain target audio information;
and acquiring a preset conversion algorithm, and converting the target audio information according to the preset conversion algorithm to obtain a first audio curve and a second audio curve.
Optionally, the comparing the first audio curve and the second audio curve to obtain a first comparison result includes:
extracting amplitude information and time information of the first audio curve and the second audio curve respectively;
selecting a first sound amplitude and a second sound amplitude corresponding to the same time amplitude information according to the time information;
and comparing the first sound amplitude with the second sound amplitude to obtain a first comparison result.
Optionally, the acquiring the video information of the first television and the second television in real time respectively, and decoding the video information to obtain first video frame information and second video frame information includes:
acquiring corresponding video information through preset camera equipment arranged on the first television and the second television;
extracting first image information and second image information in the video information at a preset moment;
if the image height in the first image information is not consistent with the image height in the second image information, adjusting a preset image pickup device on the second television, and obtaining third image information according to the adjusted preset image pickup device;
and respectively decoding the first image information and the third image information to obtain first video frame information and second video frame information.
Optionally, the comparing the first video frame information and the second video frame information to obtain a second comparison result includes:
acquiring current time information corresponding to the first video frame information and the second video frame information;
selecting a first data point and a second data point corresponding to the first video frame information and the second video frame information at the same time from the current time information;
and acquiring a preset comparison algorithm, and comparing the first data point and the second data point according to the preset comparison algorithm to obtain a second comparison result.
Optionally, the determining the operation state of the television according to the first comparison result and the second comparison result, and implementing the detection on the television according to the operation state includes:
respectively extracting the current matching degree in the first comparison result and the current similarity in the second comparison result;
acquiring target matching degree and target similarity;
and if the current matching degree is smaller than the target matching degree and/or the current similarity is smaller than the target similarity, determining that the running state of the television is an abnormal state so as to realize the detection of the television.
Optionally, if the current matching degree is smaller than the target matching degree and/or the current similarity is smaller than the target similarity, determining that the running state of the television is an abnormal state, so as to implement detection of the television, further including:
acquiring a preset early warning instruction, and sending the preset early warning instruction to target sound alarm equipment so that the target sound alarm equipment warns and feeds back corresponding warning information after receiving the preset alarm instruction;
uploading the warning information to analysis equipment so that the analysis equipment analyzes the warning information to generate and feeds back a corresponding processing strategy;
and repairing the television according to the processing strategy until the running state of the television is a normal state.
In addition, in order to achieve the above object, the present invention further provides a detection apparatus for a television, including:
the acquisition module is used for acquiring a television to be detected, and the television comprises a first television and a second television;
the acquisition module is used for respectively acquiring the audio information of the first television and the second television in real time and obtaining a first audio curve and a second audio curve according to the audio information;
the comparison module is used for comparing the first audio curve with the second audio curve to obtain a first comparison result;
the decoding module is used for respectively acquiring the video information of the first television and the second television in real time and decoding the video information to obtain first video frame information and second video frame information;
the comparison module is further configured to compare the first video frame information with the second video frame information to obtain a second comparison result;
and the determining module is used for determining the running state of the television according to the first comparison result and the second comparison result and realizing the detection of the television according to the running state.
In addition, in order to achieve the above object, the present invention further provides a detection apparatus for a television, including: the detection program of the television is configured to implement the detection method of the television as described above.
In addition, in order to achieve the above object, the present invention further provides a storage medium, in which a detection program of a television is stored, and the detection program of the television, when executed by a processor, implements the detection method of the television as described above.
The television detection method provided by the invention comprises the steps of acquiring a television to be detected, wherein the television comprises a first television and a second television; respectively acquiring audio information of the first television and the second television in real time, and obtaining a first audio curve and a second audio curve according to the audio information; comparing the first audio curve with the second audio curve to obtain a first comparison result; respectively acquiring video information of the first television and the second television in real time, and decoding the video information to obtain first video frame information and second video frame information; comparing the first video frame information with the second video frame information to obtain a second comparison result; the running state of the television is determined according to the first comparison result and the second comparison result, and the television is detected according to the running state.
Drawings
Fig. 1 is a schematic structural diagram of a detection device of a television in a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a first embodiment of the television detection method according to the present invention;
FIG. 3 is a flowchart illustrating a second embodiment of a TV detection method according to the present invention;
FIG. 4 is a schematic overall structure diagram of an embodiment of a television detection method according to the present invention;
FIG. 5 is a schematic overall flowchart of a television detection method according to an embodiment of the present invention;
fig. 6 is a flowchart illustrating a television detection method according to a third embodiment of the present invention;
fig. 7 is a functional block diagram of a detecting apparatus of a television according to a first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a detection device of a television in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the detection device of the television set may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
It will be appreciated by those skilled in the art that the arrangement shown in figure 1 does not constitute a limitation of the detection apparatus of a television set and may comprise more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and a detection program of a television set.
In the detection apparatus of the television set shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the television set detection device of the present invention may be provided in the television set detection device, which calls the television set detection program stored in the memory 1005 through the processor 1001 and executes the television set detection method provided by the embodiment of the present invention.
Based on the hardware structure, the embodiment of the television detection method is provided.
Referring to fig. 2, fig. 2 is a flowchart illustrating a television detection method according to a first embodiment of the present invention.
In a first embodiment, the method for detecting a television includes the following steps:
and step S10, acquiring the television to be detected, wherein the television comprises a first television and a second television.
It should be noted that, the implementation subject of the present embodiment is a detection device of a television, and may also be other devices that can implement the same or similar functions, such as a television detection controller, and the present embodiment is not limited to this.
It should be understood that the television to be detected refers to a television that needs to detect audio information and video information, and since the operating states of the televisions are compared with each other in the present invention, at least two televisions need to be selected, and for convenience of description of the television to be detected, the television to be detected is named as a first television and a second television, and the first television and the second television are any two televisions among the televisions to be detected, which is not limited in this embodiment, and the first television and the second television are taken as an example for description.
In specific implementation, the television detection controller acquires entry information of a target vehicle and extracts target characteristic information in the entry information.
And step S20, respectively acquiring the audio information of the first television and the second television in real time, and obtaining a first audio curve and a second audio curve according to the audio information.
It should be understood that the audio information refers to frequency and amplitude change information of regular sound waves with voice, music and sound effects emitted by the first television and the second television in the operation process, because the audio information of the first television and the second television is collected in real time, the audio information exists in a form of a set, and the audio information is converted into an audio curve according to the collecting sequence and time information so as to compare the audio information of the first television and the second television.
Further, in order to effectively improve the accuracy of obtaining the audio information, step S20 includes:
collecting corresponding audio information through preset sound equipment arranged on the first television and the second television; acquiring preset sound source information, and deleting the preset sound source information in the audio information when the preset sound source information exists in the audio information to obtain target audio information; and acquiring a preset conversion algorithm, and converting the target audio information according to the preset conversion algorithm to obtain a first audio curve and a second audio curve.
It can be understood that the preset sound collecting device refers to a device that collects audio information sent by the first television and the second television, and the preset sound collecting device may be a sound collector or an audio collecting controller, which is not limited in this embodiment, and the sound collector is taken as an example for explanation.
It should be understood that the preset conversion algorithm refers to an algorithm for converting audio and time information in the target audio information into a coordinate axis, and the audio information in the target audio information is clearly and clearly displayed on the coordinate axis through the preset conversion algorithm, so that audio information at different moments can be obtained, and audio points corresponding to all audio information in the detection process are connected to obtain corresponding audio curves, namely a first audio curve and a second audio curve.
In specific implementation, the television detection controller respectively collects the audio information of the first television and the second television in real time, and obtains a first audio curve and a second audio curve according to the audio information.
Step S30, comparing the first audio curve and the second audio curve to obtain a first comparison result.
It should be understood that after the first audio curve and the second audio curve are obtained, amplitude information of the first audio curve and the second audio curve within the same time or at the same time needs to be extracted for comparison when performing comparison, so as to obtain a first comparison result.
Further, in order to improve the accuracy of obtaining the first comparison result, step S30 includes:
extracting amplitude information and time information of the first audio curve and the second audio curve respectively; selecting a first sound amplitude and a second sound amplitude corresponding to the same time amplitude information according to the time information; and comparing the first sound amplitude with the second sound amplitude to obtain a first comparison result.
It is understood that the amplitude information refers to amplitude variation information of the first audio curve and the second audio curve, and the amplitude variation information of the same time period or the same time needs to be selected for comparison in the comparison process to obtain a corresponding first comparison result, for example, in a time period of 10:30-10:45, the first sound amplitude is a-B, the second sound amplitude is a-C, and B is smaller than C, that is, the first comparison result is that in a time period of 10:30-10:45, the first sound amplitude is smaller than the second sound amplitude.
In a specific implementation, the television detection controller compares the first audio curve with the second audio curve to obtain a first comparison result.
And step S40, respectively acquiring the video information of the first television and the second television in real time, and decoding the video information to obtain first video frame information and second video frame information.
It should be understood that the video information refers to information of pictures played by the first television and the second television in the running process, and the video information of the first television and the second television is collected in real time, so that the video information exists in a form of a set at this time, and after the video information is obtained, the video information needs to be decoded to obtain corresponding video frame information, namely the first video frame information and the second video frame information.
In specific implementation, the television detection controller respectively collects video information of the first television and the second television in real time, and decodes the video information to obtain first video frame information and second video frame information.
Step S50, comparing the first video frame information and the second video frame information to obtain a second comparison result.
It can be understood that after the first video frame information and the second video frame information are obtained, the first video frame information and the second video frame information within the same time or at the same time need to be extracted and compared when performing the comparison, so as to obtain a second comparison result.
Further, in order to improve the accuracy of obtaining the second comparison result, step S50 includes:
acquiring current time information corresponding to the first video frame information and the second video frame information; selecting a first data point and a second data point corresponding to the first video frame information and the second video frame information at the same time from the current time information; and acquiring a preset comparison algorithm, and comparing the first data point and the second data point according to the preset comparison algorithm to obtain a second comparison result.
It should be understood that after obtaining the first video frame information and the second video frame information, current time information of the first video frame information and the second video frame information, that is, video frame information corresponding to different time points, is extracted, a data point in the video frame information is extracted through the current time information, so as to obtain a first data point and a second data point, and the first data point and the second data point at the same time are respectively compared, so as to obtain a second comparison result, where a preset comparison algorithm refers to a comparison algorithm for performing individual comparison on different data points in a video, and the preset comparison algorithm is generally integrated in software, that is, a data point in the video frame information is compared through software, and the preset comparison algorithm is also referred to as a software algorithm.
In a specific implementation, the television detection controller compares the first video frame information with the second video frame information to obtain a second comparison result.
And step S60, determining the running state of the television according to the first comparison result and the second comparison result, and detecting the television according to the running state.
It should be understood that the operation states of the television are divided into two types, one is a normal state, the other is an abnormal state, the operation state of the television to be detected can be determined according to any one of the first comparison result and the second comparison result, specifically, the current matching degree and the current similarity in the first comparison result and the current similarity in the second comparison result are extracted, the current matching degree and the current similarity are respectively compared with the target matching degree and the target similarity, and when any condition that the current matching degree is smaller than the target matching degree and the current similarity is smaller than the target matching degree is met, the operation state of the television to be detected is determined to be the abnormal state, wherein the target similarity refers to the similarity of the television in the normal state, and the target matching degree refers to the matching degree of the television in the normal state.
In a specific implementation, the television detection controller determines the running state of the television according to the first comparison result and the second comparison result, and realizes the detection of the television according to the running state.
Further, in order to effectively improve the efficiency of repairing the television, after step S60, the method further includes:
acquiring a preset early warning instruction, and sending the preset early warning instruction to target sound alarm equipment so that the target sound alarm equipment warns and feeds back corresponding warning information after receiving the preset alarm instruction; uploading the warning information to analysis equipment so that the analysis equipment analyzes the warning information to generate and feeds back a corresponding processing strategy; and repairing the television according to the processing strategy until the running state of the television is a normal state.
It can be understood that the preset warning information refers to warning information sent by the target sound alarm device when the running state of the television is an abnormal state, the target sound alarm device may be a buzzer or other alarm devices, this embodiment is not limited to this, after the warning is completed, the target sound alarm device needs to send the warning information to the analysis device, so that the analysis device analyzes the warning information and feeds back a processing policy, the analysis device refers to a specific device of a professional in analyzing a fault, and after the processing policy is obtained, the television is repaired according to the processing policy until the running state of the television becomes a normal state.
In this embodiment, a television to be detected is obtained, where the television includes a first television and a second television; respectively acquiring audio information of the first television and the second television in real time, and obtaining a first audio curve and a second audio curve according to the audio information; comparing the first audio curve with the second audio curve to obtain a first comparison result; respectively acquiring video information of the first television and the second television in real time, and decoding the video information to obtain first video frame information and second video frame information; comparing the first video frame information with the second video frame information to obtain a second comparison result; the running state of the television is determined according to the first comparison result and the second comparison result, and the television is detected according to the running state.
In an embodiment, as shown in fig. 3, a second embodiment of the television detection method according to the present invention is proposed based on the first embodiment, and the step S40 includes:
step S401, collecting corresponding video information through preset camera equipment arranged on the first television and the second television.
It should be understood that the preset shooting acquisition device refers to a device that is arranged on a television and acquires playing content, and the preset device acquisition device may be a camera or a shooting collector.
In specific implementation, the television detection controller acquires corresponding video information through preset camera equipment arranged on the first television and the second television.
It can be understood that, referring to fig. 4, fig. 4 is a schematic overall structure diagram of an embodiment of the detection method of the television set of the present invention, and the specific structure is as follows: the television comprises a first television, a second television, a video collector A, a video collector B, an audio collector A, an audio collector B and a television controller, wherein the first television is connected with the television controller through a log serial port A, the second television is connected with the television controller through a log serial port B, and the video collector A, the video collector B, the audio collector A and the audio collector B are respectively connected with the television controller.
Step S402, extracting first image information and second image information in the video information at a preset time.
It is understood that the preset time refers to the same time when the image information in the video information is extracted, and in order to increase the comparability of the image information, after the video information is obtained, the image information in the video information needs to be extracted at the same time, namely the first image information and the second image information.
In a specific implementation, the television detection controller extracts first image information and second image information in the video information at a preset time.
Step S403, if the image height in the first image information is not consistent with the image height in the second image information, adjusting a preset image capturing device on the second television, and obtaining third image information according to the adjusted preset image capturing device.
It should be understood that, because the first image information and the second image information are obtained through images shot by the preset image pickup device, if the preset device is placed at a position with a deviation, the height of the first image information is different from that of the second image information, which affects the comparison of the video frame information corresponding to the image information.
In a specific implementation, if the image height in the first image information is not consistent with the image height in the second image information, the television detection controller adjusts a preset image pickup device on the second television, and obtains third image information according to the adjusted preset image pickup device.
Step S404, decoding the first image information and the third image information respectively to obtain first video frame information and second video frame information.
It can be understood that, after the first image information and the third image information are obtained, the first image information and the third image information are decoded respectively to obtain corresponding first video frame information and second video frame information, where decoding refers to restoring the image information to a minimum composition unit video frame.
In a specific implementation, the television detection controller decodes the first image information and the third image information respectively to obtain first video frame information and second video frame information.
It should be understood that, referring to fig. 5, fig. 5 is a schematic overall flow chart of an embodiment of the television detection method of the present invention, and the specific flow chart is as follows: the test environment construction comprises preparation work before test start, two identical televisions, namely a first television and a second television, are placed in the identical test environment to synchronously play identical test film sources, two identical video collectors and two low-loss sound collectors, after the test environment construction is successful, the contents played by the first television and the second television and sounds emitted by the first television and the second television are collected in real time through the video collectors and the sound collectors to obtain corresponding audio information and video information, the audio information is converted into a sound curve through a preset conversion algorithm, the video information is decoded to obtain corresponding video frame information, the first sound curve and the second sound curve are respectively compared, the first video frame information and the second video frame information are respectively compared to obtain corresponding comparison results, and the matching degree in the comparison results is smaller than the target matching degree, And when the similarity is smaller than the target similarity, triggering the target sound alarm equipment, and when the matching degree in the comparison result is larger than the target matching degree and the similarity is larger than the target similarity, returning to the step of acquiring the audio information and the video information and continuously detecting other televisions.
In the embodiment, corresponding video information is acquired through preset camera equipment arranged on the first television and the second television; extracting first image information and second image information in the video information at a preset moment; if the image height in the first image information is not consistent with the image height in the second image information, adjusting a preset image pickup device on the second television, and obtaining third image information according to the adjusted preset image pickup device; the first image information and the third image information are decoded respectively to obtain first video frame information and second video frame information, when the image heights corresponding to the first image information and the second image information are inconsistent, the preset camera equipment is adjusted, and the image information obtained after adjustment is encrypted to obtain the corresponding video frame information, so that the accuracy of comparing the video frame information can be effectively improved.
In an embodiment, as shown in fig. 6, a third embodiment of the television detection method according to the present invention is proposed based on the first embodiment, and the step S60 includes:
step S601, respectively extracting the current matching degree in the first comparison result and the current similarity in the second comparison result.
It can be understood that after the first comparison result and the second comparison result are obtained, the current matching degree in the first comparison result and the current similarity in the second comparison result are extracted, because the first comparison result compares the sound amplitude, the degree in the comparison process is set as the current matching degree, and because the second comparison result compares the data point, the degree in the comparison process is set as the current similarity.
In a specific implementation, the television detection controller extracts the current matching degree in the first comparison result and the current similarity in the second comparison result respectively.
Step S602, a target matching degree and a target similarity are obtained.
It is understood that the target matching degree refers to a matching degree of sound amplitudes of the first television and the second television when the television is in a normal state, and the target similarity refers to a similarity of data points of the first television and the second television when the television is in the normal state.
In a specific implementation, the television detection controller obtains a target matching degree and a target similarity.
Step S603, if the current matching degree is smaller than the target matching degree and/or the current similarity is smaller than the target similarity, determining that the running state of the television is an abnormal state, so as to implement detection of the television.
It should be understood that when the current matching degree is smaller than the target matching degree or the current similarity degree is smaller than the target similarity degree, the operating state of the television is determined to be an abnormal state, for example, if the current similarity degree is 70%, the target similarity degree is 95%, the current matching degree is 80%, and the target matching degree is 90%, then the current matching degree is smaller than the target matching degree and the current similarity degree is smaller than the target similarity degree, and then the operating state of the television is an abnormal state.
In specific implementation, if the current matching degree is smaller than the target matching degree and/or the current similarity is smaller than the target similarity, the television detection controller determines that the running state of the television is an abnormal state, so as to realize the detection of the television.
In this embodiment, the current matching degree in the first comparison result and the current similarity in the second comparison result are respectively extracted; acquiring target matching degree and target similarity; and if the current matching degree is smaller than the target matching degree and/or the current similarity is smaller than the target similarity, determining the running state of the television as an abnormal state to realize the detection of the television, and determining the running state of the television according to the comparison result through the comparison between the current matching degree and the target matching degree and the comparison between the current similarity and the target similarity, thereby effectively improving the detection efficiency of the television.
In addition, an embodiment of the present invention further provides a storage medium, where a detection program of a television is stored on the storage medium, and when the detection program of the television is executed by a processor, the steps of the detection method of the television are implemented as described above.
Since the storage medium adopts all technical solutions of all the embodiments, at least all the beneficial effects brought by the technical solutions of the embodiments are achieved, and no further description is given here.
In addition, referring to fig. 7, an embodiment of the present invention further provides a detection apparatus for a television, where the detection apparatus for a television includes:
the acquisition module 10 is configured to acquire a television to be detected, where the television includes a first television and a second television.
It should be understood that the television to be detected refers to a television that needs to detect audio information and video information, and since the operating states of the televisions are compared with each other in the present invention, at least two televisions need to be selected, and for convenience of description of the television to be detected, the television to be detected is named as a first television and a second television, and the first television and the second television are any two televisions among the televisions to be detected, which is not limited in this embodiment, and the first television and the second television are taken as an example for description.
In specific implementation, the television detection controller acquires entry information of a target vehicle and extracts target characteristic information in the entry information.
And the acquisition module 20 is configured to acquire the audio information of the first television and the audio information of the second television in real time, and obtain a first audio curve and a second audio curve according to the audio information.
It should be understood that the audio information refers to frequency and amplitude change information of regular sound waves with voice, music and sound effects emitted by the first television and the second television in the operation process, because the audio information of the first television and the second television is collected in real time, the audio information exists in a form of a set, and the audio information is converted into an audio curve according to the collecting sequence and time information so as to compare the audio information of the first television and the second television.
Further, in order to effectively improve the accuracy of obtaining the audio information, step S20 includes:
collecting corresponding audio information through preset sound equipment arranged on the first television and the second television; acquiring preset sound source information, and deleting the preset sound source information in the audio information when the preset sound source information exists in the audio information to obtain target audio information; and acquiring a preset conversion algorithm, and converting the target audio information according to the preset conversion algorithm to obtain a first audio curve and a second audio curve.
It can be understood that the preset sound collecting device refers to a device that collects audio information sent by the first television and the second television, and the preset sound collecting device may be a sound collector or an audio collecting controller, which is not limited in this embodiment, and the sound collector is taken as an example for explanation.
It should be understood that the preset conversion algorithm refers to an algorithm for converting audio and time information in the target audio information into a coordinate axis, and the audio information in the target audio information is clearly and clearly displayed on the coordinate axis through the preset conversion algorithm, so that audio information at different moments can be obtained, and audio points corresponding to all audio information in the detection process are connected to obtain corresponding audio curves, namely a first audio curve and a second audio curve.
In specific implementation, the television detection controller respectively collects the audio information of the first television and the second television in real time, and obtains a first audio curve and a second audio curve according to the audio information.
The comparing module 30 is configured to compare the first audio curve with the second audio curve to obtain a first comparison result.
It should be understood that after the first audio curve and the second audio curve are obtained, amplitude information of the first audio curve and the second audio curve within the same time or at the same time needs to be extracted for comparison when performing comparison, so as to obtain a first comparison result.
Further, in order to improve the accuracy of obtaining the first comparison result, step S30 includes:
extracting amplitude information and time information of the first audio curve and the second audio curve respectively; selecting a first sound amplitude and a second sound amplitude corresponding to the same time amplitude information according to the time information; and comparing the first sound amplitude with the second sound amplitude to obtain a first comparison result.
It is understood that the amplitude information refers to amplitude variation information of the first audio curve and the second audio curve, and the amplitude variation information of the same time period or the same time needs to be selected for comparison in the comparison process to obtain a corresponding first comparison result, for example, in a time period of 10:30-10:45, the first sound amplitude is a-B, the second sound amplitude is a-C, and B is smaller than C, that is, the first comparison result is that in a time period of 10:30-10:45, the first sound amplitude is smaller than the second sound amplitude.
In a specific implementation, the television detection controller compares the first audio curve with the second audio curve to obtain a first comparison result.
And the decoding module 40 is configured to collect the video information of the first television and the video information of the second television in real time, and decode the video information to obtain first video frame information and second video frame information.
It should be understood that the video information refers to information of pictures played by the first television and the second television in the running process, and the video information of the first television and the second television is collected in real time, so that the video information exists in a form of a set at this time, and after the video information is obtained, the video information needs to be decoded to obtain corresponding video frame information, namely the first video frame information and the second video frame information.
In specific implementation, the television detection controller respectively collects the video information of the first television and the second television in real time, and decodes the video information to obtain first video frame information and second video frame information
The comparing module 30 is further configured to compare the first video frame information with the second video frame information to obtain a second comparison result.
It can be understood that after the first video frame information and the second video frame information are obtained, the first video frame information and the second video frame information within the same time or at the same time need to be extracted and compared when performing the comparison, so as to obtain a second comparison result.
Further, in order to improve the accuracy of obtaining the second comparison result, step S50 includes:
acquiring current time information corresponding to the first video frame information and the second video frame information; selecting a first data point and a second data point corresponding to the first video frame information and the second video frame information at the same time from the current time information; and acquiring a preset comparison algorithm, and comparing the first data point and the second data point according to the preset comparison algorithm to obtain a second comparison result.
It should be understood that after obtaining the first video frame information and the second video frame information, current time information of the first video frame information and the second video frame information, that is, video frame information corresponding to different time points, is extracted, a data point in the video frame information is extracted through the current time information, so as to obtain a first data point and a second data point, and the first data point and the second data point at the same time are respectively compared, so as to obtain a second comparison result, where a preset comparison algorithm refers to a comparison algorithm for performing individual comparison on different data points in a video, and the preset comparison algorithm is generally integrated in software, that is, a data point in the video frame information is compared through software, and the preset comparison algorithm is also referred to as a software algorithm.
In a specific implementation, the television detection controller compares the first video frame information with the second video frame information to obtain a second comparison result.
And the determining module 50 is configured to determine an operating state of the television according to the first comparison result and the second comparison result, and implement detection on the television according to the operating state.
It should be understood that the operation states of the television are divided into two types, one is a normal state, the other is an abnormal state, the operation state of the television to be detected can be determined according to any one of the first comparison result and the second comparison result, specifically, the current matching degree and the current similarity in the first comparison result and the current similarity in the second comparison result are extracted, the current matching degree and the current similarity are respectively compared with the target matching degree and the target similarity, and when any condition that the current matching degree is smaller than the target matching degree and the current similarity is smaller than the target matching degree is met, the operation state of the television to be detected is determined to be the abnormal state, wherein the target similarity refers to the similarity of the television in the normal state, and the target matching degree refers to the matching degree of the television in the normal state.
In a specific implementation, the television detection controller determines the running state of the television according to the first comparison result and the second comparison result, and realizes the detection of the television according to the running state.
Further, in order to effectively improve the efficiency of repairing the television, after step S60, the method further includes:
acquiring a preset early warning instruction, and sending the preset early warning instruction to target sound alarm equipment so that the target sound alarm equipment warns and feeds back corresponding warning information after receiving the preset alarm instruction; uploading the warning information to analysis equipment so that the analysis equipment analyzes the warning information to generate and feeds back a corresponding processing strategy; and repairing the television according to the processing strategy until the running state of the television is a normal state.
It can be understood that the preset warning information refers to warning information sent by the target sound alarm device when the running state of the television is an abnormal state, the target sound alarm device may be a buzzer or other alarm devices, this embodiment is not limited to this, after the warning is completed, the target sound alarm device needs to send the warning information to the analysis device, so that the analysis device analyzes the warning information and feeds back a processing policy, the analysis device refers to a specific device of a professional in analyzing a fault, and after the processing policy is obtained, the television is repaired according to the processing policy until the running state of the television becomes a normal state.
In this embodiment, a television to be detected is obtained, where the television includes a first television and a second television; respectively acquiring audio information of the first television and the second television in real time, and obtaining a first audio curve and a second audio curve according to the audio information; comparing the first audio curve with the second audio curve to obtain a first comparison result; respectively acquiring video information of the first television and the second television in real time, and decoding the video information to obtain first video frame information and second video frame information; comparing the first video frame information with the second video frame information to obtain a second comparison result; the running state of the television is determined according to the first comparison result and the second comparison result, and the television is detected according to the running state.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may be referred to a detection method of a television set provided in any embodiment of the present invention, and are not described herein again.
In an embodiment, the acquiring module 20 is further configured to acquire corresponding audio information through preset sound devices disposed on the first television and the second television; acquiring preset sound source information, and deleting the preset sound source information in the audio information when the preset sound source information exists in the audio information to obtain target audio information; and acquiring a preset conversion algorithm, and converting the target audio information according to the preset conversion algorithm to obtain a first audio curve and a second audio curve.
In an embodiment, the comparing module 30 is further configured to extract amplitude information and time information of the first audio curve and the second audio curve, respectively; selecting a first sound amplitude and a second sound amplitude corresponding to the same time amplitude information according to the time information; and comparing the first sound amplitude with the second sound amplitude to obtain a first comparison result.
In an embodiment, the comparing module 30 is further configured to obtain current time information corresponding to the first video frame information and the second video frame information; selecting a first data point and a second data point corresponding to the first video frame information and the second video frame information at the same time from the current time information; and acquiring a preset comparison algorithm, and comparing the first data point and the second data point according to the preset comparison algorithm to obtain a second comparison result.
In an embodiment, the decoding module 40 is further configured to acquire corresponding video information through preset image capturing devices arranged on the first television and the second television; extracting first image information and second image information in the video information at a preset moment; if the image height in the first image information is not consistent with the image height in the second image information, adjusting a preset image pickup device on the second television, and obtaining third image information according to the adjusted preset image pickup device; and respectively decoding the first image information and the third image information to obtain first video frame information and second video frame information.
In an embodiment, the determining module 50 is further configured to extract a current matching degree in the first comparison result and a current similarity degree in the second comparison result respectively; acquiring target matching degree and target similarity; and if the current matching degree is smaller than the target matching degree and/or the current similarity is smaller than the target similarity, determining that the running state of the television is an abnormal state so as to realize the detection of the television.
In an embodiment, the determining module 50 is further configured to obtain a preset warning instruction, and send the preset warning instruction to a target sound alarm device, so that the target sound alarm device warns and feeds back corresponding warning information after receiving the preset warning instruction; uploading the warning information to analysis equipment so that the analysis equipment analyzes the warning information to generate and feeds back a corresponding processing strategy; and repairing the television according to the processing strategy until the running state of the television is a normal state.
Other embodiments or implementations of the apparatus for detecting tv signals according to the present invention can refer to the above embodiments, and are not intended to be exhaustive.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A detection method of a television is characterized by comprising the following steps:
acquiring a television to be detected, wherein the television comprises a first television and a second television;
respectively acquiring audio information of the first television and the second television in real time, and obtaining a first audio curve and a second audio curve according to the audio information;
comparing the first audio curve with the second audio curve to obtain a first comparison result;
respectively acquiring video information of the first television and the second television in real time, and decoding the video information to obtain first video frame information and second video frame information;
comparing the first video frame information with the second video frame information to obtain a second comparison result;
and determining the running state of the television according to the first comparison result and the second comparison result, and realizing the detection of the television according to the running state.
2. The method for detecting a tv set according to claim 1, wherein the acquiring audio information of the first tv set and the second tv set respectively in real time, and obtaining a first audio curve and a second audio curve according to the audio information comprises:
collecting corresponding audio information through preset sound equipment arranged on the first television and the second television;
acquiring preset sound source information, and deleting the preset sound source information in the audio information when the preset sound source information exists in the audio information to obtain target audio information;
and acquiring a preset conversion algorithm, and converting the target audio information according to the preset conversion algorithm to obtain a first audio curve and a second audio curve.
3. The method for detecting a tv set according to claim 1, wherein the comparing the first audio curve and the second audio curve to obtain a first comparison result comprises:
extracting amplitude information and time information of the first audio curve and the second audio curve respectively;
selecting a first sound amplitude and a second sound amplitude corresponding to the same time amplitude information according to the time information;
and comparing the first sound amplitude with the second sound amplitude to obtain a first comparison result.
4. The method for detecting a tv set according to claim 1, wherein the acquiring video information of the first tv set and the second tv set respectively in real time, and decoding the video information to obtain first video frame information and second video frame information comprises:
acquiring corresponding video information through preset camera equipment arranged on the first television and the second television;
extracting first image information and second image information in the video information at a preset moment;
if the image height in the first image information is not consistent with the image height in the second image information, adjusting a preset image pickup device on the second television, and obtaining third image information according to the adjusted preset image pickup device;
and respectively decoding the first image information and the third image information to obtain first video frame information and second video frame information.
5. The method for detecting a tv set according to claim 1, wherein the comparing the first video frame information and the second video frame information to obtain a second comparison result comprises:
acquiring current time information corresponding to the first video frame information and the second video frame information;
selecting a first data point and a second data point corresponding to the first video frame information and the second video frame information at the same time from the current time information;
and acquiring a preset comparison algorithm, and comparing the first data point and the second data point according to the preset comparison algorithm to obtain a second comparison result.
6. The method for detecting a television set according to any one of claims 1 to 5, wherein the determining the operation state of the television set according to the first comparison result and the second comparison result, and the detecting the television set according to the operation state comprises:
respectively extracting the current matching degree in the first comparison result and the current similarity in the second comparison result;
acquiring target matching degree and target similarity;
and if the current matching degree is smaller than the target matching degree and/or the current similarity is smaller than the target similarity, determining that the running state of the television is an abnormal state so as to realize the detection of the television.
7. The method for detecting a television set according to claim 6, wherein if the current matching degree is smaller than the target matching degree and/or the current similarity degree is smaller than the target similarity degree, determining that the running state of the television set is an abnormal state, so as to detect the television set, further comprising:
acquiring a preset early warning instruction, and sending the preset early warning instruction to target sound alarm equipment so that the target sound alarm equipment warns and feeds back corresponding warning information after receiving the preset alarm instruction;
uploading the warning information to analysis equipment so that the analysis equipment analyzes the warning information to generate and feeds back a corresponding processing strategy;
and repairing the television according to the processing strategy until the running state of the television is a normal state.
8. A detection apparatus for a television, the detection apparatus comprising:
the acquisition module is used for acquiring a television to be detected, and the television comprises a first television and a second television;
the acquisition module is used for respectively acquiring the audio information of the first television and the second television in real time and obtaining a first audio curve and a second audio curve according to the audio information;
the comparison module is used for comparing the first audio curve with the second audio curve to obtain a first comparison result;
the decoding module is used for respectively acquiring the video information of the first television and the second television in real time and decoding the video information to obtain first video frame information and second video frame information;
the comparison module is further configured to compare the first video frame information with the second video frame information to obtain a second comparison result;
and the determining module is used for determining the running state of the television according to the first comparison result and the second comparison result and realizing the detection of the television according to the running state.
9. A detection apparatus for a television, the detection apparatus comprising: memory, processor and a detection program of a television set stored on the memory and operable on the processor, the detection program of the television set being configured with a detection method implementing the television set according to any one of claims 1 to 7.
10. A storage medium, characterized in that the storage medium stores thereon a detection program of a television set, which when executed by a processor implements the detection method of the television set according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110764953.5A CN113542735A (en) | 2021-07-07 | 2021-07-07 | Television detection method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110764953.5A CN113542735A (en) | 2021-07-07 | 2021-07-07 | Television detection method, device, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113542735A true CN113542735A (en) | 2021-10-22 |
Family
ID=78097908
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110764953.5A Pending CN113542735A (en) | 2021-07-07 | 2021-07-07 | Television detection method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113542735A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106454282A (en) * | 2016-12-09 | 2017-02-22 | 南京创维信息技术研究院有限公司 | Security and protection monitoring method, apparatus and system |
| CN107888912A (en) * | 2017-11-22 | 2018-04-06 | 深圳创维－Rgb电子有限公司 | The abnormal recognition methods of display screen display and system |
| CN108489000A (en) * | 2018-03-20 | 2018-09-04 | 广东美的制冷设备有限公司 | Detection method, device, system and the air conditioner of unit exception |
| CN108966084A (en) * | 2018-08-09 | 2018-12-07 | 歌尔科技有限公司 | A kind of loudspeaking equipment and its calibration method, device, equipment |
| CN110719461A (en) * | 2019-10-24 | 2020-01-21 | 深圳创维－Rgb电子有限公司 | Audio and video equipment testing method and device and computer readable storage medium |
| CN111047558A (en) * | 2019-11-20 | 2020-04-21 | 深圳市康冠智能科技有限公司 | Image detection method, image detection device, computer equipment and storage medium |
| CN111901584A (en) * | 2020-07-03 | 2020-11-06 | 深圳康佳电子科技有限公司 | Automatic detection method and device for television transmission channel, intelligent terminal and storage medium |
| CN112102837A (en) * | 2019-06-18 | 2020-12-18 | 广东美的制冷设备有限公司 | Household appliance and pickup detection method and device thereof |
-
2021
- 2021-07-07 CN CN202110764953.5A patent/CN113542735A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106454282A (en) * | 2016-12-09 | 2017-02-22 | 南京创维信息技术研究院有限公司 | Security and protection monitoring method, apparatus and system |
| CN107888912A (en) * | 2017-11-22 | 2018-04-06 | 深圳创维－Rgb电子有限公司 | The abnormal recognition methods of display screen display and system |
| CN108489000A (en) * | 2018-03-20 | 2018-09-04 | 广东美的制冷设备有限公司 | Detection method, device, system and the air conditioner of unit exception |
| CN108966084A (en) * | 2018-08-09 | 2018-12-07 | 歌尔科技有限公司 | A kind of loudspeaking equipment and its calibration method, device, equipment |
| CN112102837A (en) * | 2019-06-18 | 2020-12-18 | 广东美的制冷设备有限公司 | Household appliance and pickup detection method and device thereof |
| CN110719461A (en) * | 2019-10-24 | 2020-01-21 | 深圳创维－Rgb电子有限公司 | Audio and video equipment testing method and device and computer readable storage medium |
| CN111047558A (en) * | 2019-11-20 | 2020-04-21 | 深圳市康冠智能科技有限公司 | Image detection method, image detection device, computer equipment and storage medium |
| CN111901584A (en) * | 2020-07-03 | 2020-11-06 | 深圳康佳电子科技有限公司 | Automatic detection method and device for television transmission channel, intelligent terminal and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP0892564B1 (en) | Attentional maps in objective measurement of video quality degradation | |
| CN112967081B (en) | Advertisement putting effect monitoring method | |
| US8354579B2 (en) | Music linked photocasting service system and method | |
| CN110139062B (en) | Video conference record creating method and device and terminal equipment | |
| CN110719461B (en) | Audio and video equipment testing method and device and computer readable storage medium | |
| US20120075480A1 (en) | Video testing system and method | |
| JP2005531080A (en) | Content rating measurement via visual and speech recognition | |
| TW201220216A (en) | System and method for detecting human emotion and appeasing human emotion | |
| CN111401238B (en) | Method and device for detecting character close-up fragments in video | |
| CN105979255A (en) | Audio acquisition tooling, method and cloud server | |
| CN110213605B (en) | Image correction method, device and equipment | |
| CN116109964A (en) | Intelligent extraction method and device for video map, storage medium and computer equipment | |
| CN109656800A (en) | Test method, device, terminal and the storage medium of image recognition application | |
| CN110827849A (en) | Human voice separation method and device for database building, terminal and readable storage medium | |
| Testolina et al. | Review of subjective quality assessment methodologies and standards for compressed images evaluation | |
| CN105989000B (en) | Audio-video copy detection method and device | |
| CN113542735A (en) | Television detection method, device, equipment and storage medium | |
| CN101924847A (en) | Multimedia playing device and playing method thereof | |
| CN115499677A (en) | Audio and video synchronization detection method and device based on live broadcast | |
| CN112272277B (en) | Voice adding method and device in nuclear power test and computer equipment | |
| JP6148785B1 (en) | Information processing system, information processing apparatus, and program | |
| CN111064952A (en) | Automatic testing method, device and system | |
| CN116884078B (en) | Image pickup apparatus control method, monitoring device, and computer-readable medium | |
| EP0869686B1 (en) | Picture quality assessment using spatially variable assessment threshold values | |
| CN115841823A (en) | Audio device detection method, device, equipment and storage medium |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20211022 |