CN106534845A - Television screen based on artificial intelligence and screen assembly diagnostic system and method - Google Patents
Television screen based on artificial intelligence and screen assembly diagnostic system and method Download PDFInfo
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- CN106534845A CN106534845A CN201611069803.8A CN201611069803A CN106534845A CN 106534845 A CN106534845 A CN 106534845A CN 201611069803 A CN201611069803 A CN 201611069803A CN 106534845 A CN106534845 A CN 106534845A
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- screen
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- television screen
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/004—Diagnosis, testing or measuring for television systems or their details for digital television systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/4424—Monitoring of the internal components or processes of the client device, e.g. CPU or memory load, processing speed, timer, counter or percentage of the hard disk space used
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Databases & Information Systems (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
Abstract
The invention discloses a television screen based on artificial intelligence and a screen assembly diagnostic system and method. The system comprises a television signal conversion module, an image signal transmission module, a data acquisition module, an image analysis module and a message pushing module which are in communication connection. The method comprises: converting an analog signal of the television screen into a digital image signal; uploading the converted digital image data to a cloud end through the network; determining a persistently problematic image by virtue of the artificial intelligence and big data image recognition algorithm; pushing a user corresponding to the persistently problematic image to a after-sales service department via a message channel so as to achieve return visit confirmation. The method using the artificial intelligence enables a remote server to automatically detect whether the television screen and whether screen components are damaged so as to notify a after-sales service worker that the television screen and the screen assembly of the user are faulted accurately and in advance, enhances maintenance efficiency, allows users to experience the TV repair intelligent services, thereby enhancing the sense of experience of the users.
Description
Technical field
The present invention relates to ntelligent television technolog field, and in particular to a kind of television screen and screen assembly based on artificial intelligence is examined
Disconnected system and method.
Background technology
Diagnosis Technique is a special kind of skill produced in electronic technology, the development of computer technology.Failure is examined
Disconnected is exactly the process of trouble-shooting reason, including status monitoring, failure reason analysis and degradation trend such as predict at the content.Traditional event
Barrier diagnostic techniquess effect when relative complex profound failure is analyzed is undesirable and higher to operator's Capability Requirement；And people
The development of work intellectual technology, then make diagnostic techniquess move towards intellectuality.As intelligent Fault Diagnosis Technique can simulate patrolling for the mankind
The mankind various knowledge are incorporated diagnosis process by volume thinking and imaginal thinking, thus be capable of achieving to carry out large-scale and complicated device in real time, can
By, profound and predictability fault diagnosis, the state that the diagnostic message of acquisition just can be exactly to diagnosing object be identified and
Prediction, therefore this technology also receives the most attention of countries in the world engineering research personnel.
Traditional television screen failure is reported and diagnostic process is as follows：User has found that the television screen in family occurs in vain first
Screen, blank screen, the problems such as split screen, all kinds of bright lines, then restart through several times, problem still occurs；Therefore, user oneself judges electricity
Depending on being tentatively out of order, subsequently phone after sale, make house calls after a period of time after sale, eventually pass traditional failure
Detection, and then differentiate that television screen and screen assembly go wrong, and then which is changed or is keeped in repair.In traditional television screen failure
Report and diagnose it is time-consuming more, and after sale visit the time and failure detection time directly affects Consumer's Experience.How to allow former
Barrier intelligent diagnosis, preferably raising fault diagnosis efficiency, so as to lift user experience and brand value, have little text at present
Offer and patent is studied to which.
The content of the invention
Instant invention overcomes the deficiencies in the prior art, there is provided solve.
To solve above-mentioned technical problem, the present invention is employed the following technical solutions：
A kind of television screen and screen assembly diagnostic system based on artificial intelligence, it includes the TV signal conversion for communicating to connect
Module, picture signal transport module, data acquisition module, image analysis module and message pushing module,
The TV signal modular converter, for the analogue signal of the television screen containing screen failure is converted into discrete video
View data；
Described image signal transmission module, for discrete vedio data is uploaded to data acquisition module by network
Block；
The data acquisition module, for gathering discrete vedio data and storing；
Described image analysis module, for being identified to image, extracts fault picture, if extracted in a period of time
Image be fault picture, then judge user using television set television screen or screen assembly break down；
The message pushing module, for information pushing that the television screen or screen assembly of television set break down to after sale
Personnel.
Further technical scheme is that the fault picture includes white screen image, the blank screen occurred on television screen
Image, split screen image, horizontal bright line image, horizontal concealed wire image, perpendicular bright line image, perpendicular concealed wire image, backlight water wave image or flower screen
Image.
The present invention also provides a kind of television screen based on artificial intelligence and screen assembly diagnostic method, and it comprises the following steps：
The analogue signal of the television screen containing screen failure is converted into discrete video figure by step 1, TV signal modular converter
As data；
Discrete vedio data is uploaded to data acquisition module by network by step 2, picture signal transport module；
Step 3, the discrete vedio data of data collecting module collected are simultaneously stored；
Step 4, image analysis module are identified to image, extract fault picture, if extract in a period of time
Image is fault picture, then judge user using television set television screen or screen assembly break down；
Step 5, the information pushing that the television screen or screen assembly of television set are broken down by message pushing module is to people after sale
Member.
Compared with prior art, the invention has the beneficial effects as follows：
Method of the present invention using artificial intelligence, being capable of achieving remote server automatic detection television screen and screen assembly has lossless
Bad, the television screen and screen assembly such that it is able to the accurate and advance notice after-sale service personnel user breaks down, and is not only lifted
Maintenance efficiency, and allow the intelligent Service that Consumer's Experience TV keeps in repair, so as to improving the experience sense of user.
Description of the drawings
Structural frames of the Fig. 1 for the television screen based on artificial intelligence and screen assembly diagnostic system of an embodiment of the present invention
Figure.
Specific embodiment
The present invention is further elaborated below in conjunction with the accompanying drawings.
Embodiment 1
Television screen based on artificial intelligence as shown in Figure 1 and screen assembly diagnostic system, it includes the TV for communicating to connect
Signal conversion module, picture signal transport module, data acquisition module, image analysis module and message pushing module, the electricity
Depending on signal conversion module, for the analogue signal of the television screen containing screen failure is converted into discrete vedio data；It is described
Picture signal transport module, for discrete vedio data is uploaded to data acquisition module by network；The data
Acquisition module, for gathering discrete vedio data and storing；Described image analysis module, for knowing to image
Not, fault picture is extracted, if the image extracted in a period of time is fault picture, judges the television set that user uses
Television screen or screen assembly break down；The message pushing module, for the television screen of television set or screen assembly event occur
The information pushing of barrier includes the white screen image occurred on television screen, blank screen image, splits to personnel after sale, the fault picture
Screen image, horizontal bright line image, horizontal concealed wire image, perpendicular bright line image, perpendicular concealed wire image, backlight water wave image or flower screen image.
Data acquisition module is mainly responsible for the data of data acquisition module and reports and store, and it provides HTTP interface for end
End row data are reported, and data storage is in mogodb, convenient to analyze in real time；Image analysis module, mainly using machine learning and
Image recognition algorithm, by big data real-time analysis framework s torm, spark, carries out Real time identification, extracts faulty to image
Image, a period of time in extract image be fault picture when, differentiate the user its television screen of the TV for using or
Screen assembly is out of order；The effect of message pushing module is that the fail result analyzed is pushed to sell by the form that message is pushed
Department, pays a return visit to user in time for personnel after sale afterwards.
Embodiment 2
A kind of television screen and screen assembly diagnostic method based on artificial intelligence, it comprises the following steps：
The analogue signal of the television screen containing screen failure is converted into discrete video figure by step 1, TV signal modular converter
As data；
Discrete vedio data is uploaded to data acquisition module by network by step 2, picture signal transport module；
Step 3, the discrete vedio data of data collecting module collected are simultaneously stored；
Step 4, image analysis module are identified to image, extract fault picture, if extract in a period of time
Image is fault picture, then judge user using television set television screen or screen assembly break down；
Step 5, the information pushing that the television screen or screen assembly of television set are broken down by message pushing module is to people after sale
Member.
Above specific embodiment is described in detail to the essence of the present invention, but can not be to protection scope of the present invention
Limited, it should be apparent that, under the enlightenment of the present invention, the art those of ordinary skill can also carry out many improvement
And modification, it should be noted that these improve and modification all falls within the claims of the present invention.
Claims (3)
1. a kind of television screen and screen assembly diagnostic system based on artificial intelligence, it is characterised in that it includes the electricity for communicating to connect
Depending on signal conversion module, picture signal transport module, data acquisition module, image analysis module and message pushing module,
The TV signal modular converter, for the analogue signal of the television screen containing screen failure is converted into discrete video image
Data；
Described image signal transmission module, for discrete vedio data is uploaded to data acquisition module by network；
The data acquisition module, for gathering discrete vedio data and storing；
Described image analysis module, for being identified to image, extracts fault picture, if the figure extracted in a period of time
As being fault picture, then judge user using television set television screen or screen assembly break down；
The message pushing module, for information pushing that the television screen or screen assembly of television set break down to people after sale
Member.
2. the television screen and screen assembly diagnostic system based on artificial intelligence according to claim 1, it is characterised in that described
Fault picture includes the white screen image occurred on television screen, blank screen image, splits screen image, horizontal bright line image, horizontal concealed wire figure
Picture, perpendicular bright line image, perpendicular concealed wire image, backlight water wave image or flower screen image.
3. a kind of television screen and screen assembly diagnostic method based on artificial intelligence, it is characterised in that it comprises the following steps：
The analogue signal of the television screen containing screen failure is converted into discrete video image number by step 1, TV signal modular converter
According to；
Discrete vedio data is uploaded to data acquisition module by network by step 2, picture signal transport module；
Step 3, the discrete vedio data of data collecting module collected are simultaneously stored；
Step 4, image analysis module are identified to image, extract fault picture, if the image extracted in a period of time
Be fault picture, then judge user using television set television screen or screen assembly break down；
Step 5, the information pushing that the television screen or screen assembly of television set are broken down by message pushing module is to personnel after sale.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611069803.8A CN106534845A (en) | 2016-11-28 | 2016-11-28 | Television screen based on artificial intelligence and screen assembly diagnostic system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611069803.8A CN106534845A (en) | 2016-11-28 | 2016-11-28 | Television screen based on artificial intelligence and screen assembly diagnostic system and method |
Publications (1)
| Publication Number | Publication Date |
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| CN106534845A true CN106534845A (en) | 2017-03-22 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201611069803.8A Pending CN106534845A (en) | 2016-11-28 | 2016-11-28 | Television screen based on artificial intelligence and screen assembly diagnostic system and method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107959850A (en) * | 2017-12-14 | 2018-04-24 | 合肥寰景信息技术有限公司 | A kind of video quality diagnosing method based on graphical analysis |
| CN111526398A (en) * | 2019-11-04 | 2020-08-11 | 海信视像科技股份有限公司 | Display device |
| CN114245112A (en) * | 2021-12-24 | 2022-03-25 | 四川启睿克科技有限公司 | Intelligent diagnosis and maintenance method for television products |
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| CN107959850A (en) * | 2017-12-14 | 2018-04-24 | 合肥寰景信息技术有限公司 | A kind of video quality diagnosing method based on graphical analysis |
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| CN114245112A (en) * | 2021-12-24 | 2022-03-25 | 四川启睿克科技有限公司 | Intelligent diagnosis and maintenance method for television products |
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Application publication date: 20170322 |