CN108805300A - Numerically controlled machine remote live collaboration fault diagnosis and maintenance system - Google Patents
Numerically controlled machine remote live collaboration fault diagnosis and maintenance system Download PDFInfo
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- CN108805300A CN108805300A CN201810540540.7A CN201810540540A CN108805300A CN 108805300 A CN108805300 A CN 108805300A CN 201810540540 A CN201810540540 A CN 201810540540A CN 108805300 A CN108805300 A CN 108805300A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The present invention relates to a kind of numerically controlled machine remote live collaboration fault diagnosis and maintenance systems, remote failure diagnosis system is set up using LabVIEW virtual instrument techniques, Node.js background servers technology, stream media technology and iOS mobile terminal technologies, data acquisition, transmission and processing is set to be integrated into a shared platform, the work of Fault diagnosis expert is set to have broken away from the limitation of spatial position and condition, a collected data are sent to remote cloud server in real time by network, then storage and distribution is carried out by Cloud Server.For live collaboration, a cooperation intercommunion platform is built, has supported real-time online written communication and picture and the file-sharing of field engineer and Remote.Meanwhile using multi-medium datas such as mobile device acquisition fault in-situ picture, videos and it being sent to cloud server when field engineering, remote diagnosis expert can be with the various multi-medium datas of real time inspection.In addition, this system uses HTTPS encryption technologies, the safe transmission of data has been ensured.
Description
Technical field
The present invention relates to a kind of Repairing of Numerically Controlled Machine Tool technology, more particularly to a kind of numerically-controlled machine tool based on cloud service technology is remote
Journey live collaboration fault diagnosis and maintenance system.
Background technology
During numerically-controlled machine tool debugging and use, fault diagnosis is very important component part, is to limit at present
One of the principal element of numerically-controlled machine tool normal work.Numerically-controlled machine tool is during the work time, a variety of by heat, power, friction, abrasion etc.
Effect, operating status is extremely complex, breaks down unavoidable.Therefore, it is necessary to after failure, fast and efficiently do
Go out to judge, take appropriate measures to solve failure to avoid more serious economic loss is caused because of failure, doing so can be big
The big operational reliability for improving machine tool, to improve the production efficiency of machine tool or even entire enterprise.
Although in terms of numerically controlled machine remote diagnosis, there are many mechanisms and researcher to be made that considerable contribution
And research, but at this stage, the fewer release remote diagnosis system of China's relevant enterprise, and it is pre- there is no obtaining in the application
The effect of phase, to find out its cause, its there are the problem of include：（1）Lack real-time：It can not ensure a large amount of characteristic signals of fault in-situ
The real-time Transmission of data；（2）Lack collaborative：Remote diagnosis expert is difficult to carry out effective link up in real time with field engineer to assist
Make, repair is caused not carry out in time, efficiently；（3）Lack intuitive：Remote diagnosis expert is only according to lathe operation data
With sensing data it is difficult to which the reason of judging machine failure, needs intuitive stronger media data such as picture, video etc. auxiliary
Help diagnosis；（4）Lack safety：Due to the opening of internet, rival be likely to using network system loophole come
Trade secret is stolen, loss is brought to enterprise.
Compared with previous traditional fault diagnosis, the advantage of long-range live collaboration diagnosis, which is embodied in, to be enabled the enterprise in machine
Bed obtains technical support at the first time after breaking down, while numerically-controlled machine tool diagnostician can more quickly and efficiently obtain
The firsthand data data of business equipment, without coming to fault in-situ personally.It provides the shared of many-sided fault message
Platform has linked up lathe operation Field Force, diagnostician, administrative department and device fabrication producer, has served lathe system in time
Make, run and maintenance process in, take full advantage of express network as information transport vehicle, realize real-time failure lathe letter
The collection of breath is transmitted and is shared, and the time of fault diagnosis is greatly shortened.
The function of numerically controlled machine remote live collaboration diagnostic system is exactly remote diagnosis in heterochthonous numerically-controlled machine tool thing
Therefore failure, mainly completed by fault in-situ maintenance personal and remote diagnosis expert's cooperation.Remote diagnosis expert is according to operation machine
Status signal, fault message and the live multimedia audio-visual signal of bed, can make the repair of corresponding failure equipment in time
Solution, field service personnel can be adjusted and repair to faulty equipment under the guidance of remote diagnosis expert, until
Debugging.Therefore, long-range live collaboration diagnostic techniques is computer networking technology, the communication technology, signal processing technology, sensing
The multinomial technology such as device monitoring technology, stream media technology blends and a new technical field being formed.
The associated multiple technical staff of numerically controlled machine remote live collaboration diagnostic system task between different geographical and repair
Expert provides the failure Cooperative diagnosis environment that a wide area network is supported, so that them is carried out simultaneously to a certain Maintenance Cases efficiently accurate
True diagnosis, and guides maintenance of equipment.Specifically, exactly signal processing and computer network programming technique are combined, one
Aspect, field service personnel install sensor under the real-time instruction of Remote on failure lathe, and will acquire in real time
Signal data is sent to cloud server and carries out necessary data processing by cloud server；On the other hand, multidigit is remotely special
Family can check that maintenance sites video and sensor real time data and guide the maintenance mans of field engineer by web browser
Make, to realize the quick diagnosis and on-call maintenance of failure.Realize above-mentioned requirement, the major function demand packet of system design
It includes：Fault case tracing management, the acquisition of failure machine tool characteristic signal and real-time exhibition, fault in-situ multimedia signal acquisition
Share, the photographic technique of fault in-situ, on-line fault diagnosis intercommunion platform, user management.
Therefore, the main purpose and meaning of research numerically controlled machine remote live collaboration diagnostic system are：1）Diagnostician
Fault diagnosis can be completed with cross-region, improve promptness, the accuracy and reliability of diagnosis；2）It is available after completing diagnosis
Diagnosis case database gives enterprise technology personnel training, improves its machine upkeep practical level；3）Remote diagnosis can be realized
Diagnostic data and diagnostic knowledge in global range it is shared；4）The diagnostician of scientific research institution can obtain valuable scene warp
It tests and data, substantial theory and technology is studied.
Invention content
The problem of the present invention be directed to the importance of numerically controlled machine remote diagnosis, it is proposed that a kind of numerically controlled machine remote is real-time
The fault diagnosis that cooperates and maintenance system, realization make data acquisition, transmission and processing be integrated into a shared platform, support live work
The real-time online written communication and picture and file-sharing of Cheng Shi and Remote, remote diagnosis expert can be each with real time inspection
Kind multi-medium data, and ensure the safe transmission of data.
The technical scheme is that：A kind of numerically controlled machine remote live collaboration fault diagnosis and maintenance system, including it is upper
Three layers of lower interaction,
First layer data Layer：Fault case data, the storage of sensor historic data and modification, user related data is provided to deposit
It stores up, temperature sensor, current sensor, vibrating sensor monitor Vibration of Computerized Numerical Control Machine respectively in remote diagnosis data collecting system
Signal, current signal, temperature signal acquire each signal by DAQ data collecting cards, and remote diagnosis data collecting system is by data
It is transmitted to remote diagnosis cloud server system, the interface provided according to cloud server system realizes obtaining for high in the clouds error listing
It takes；
Second layer application logical layer：The data processing being responsible between cloud server, distance sensor and fault diagnosis browser
And transmission, including remote diagnosis cloud server system and remote diagnosis video monitoring streaming media server system, remote diagnosis
Mobile terminal system realizes stream medium data acquisition, the real-time acquisition of fault in-situ vision signal and plug-flow, remote diagnosis video
It monitors stream media server system and uses real-time mode, media file data is to be transmitted in the form of streaming, stream data cache
In client's end memory, flow data is played in real time, is realized and is played when downloading；
Third layer client layer：Directly by web browser input address, the communication with FE field engineering teacher is realized and to lathe
Diagnosis.
The remote diagnosis data collecting system obtains the error listing of cloud server, then FE field engineering Shi Xuan
It selects corresponding fault case and carries out data collection task, remote diagnosis data collecting system Labview uses http protocol and cloud
End server is communicated to obtain error listing data, and the http network kit and Socket networks under LabVIEW are utilized
Kit realizes the real-time Transmission of the acquisition and sensing data of high in the clouds error listing according to the interface that cloud server provides.
The remote diagnosis cloud server system uses B/S frameworks, and pattern is designed using model-view-controller；?
Data Layer operates MongoDB databases using Mongoose frames；The front end of Cloud Server based on Node.js is patrolled
It collects and page effect is realized using HTML5+CSS3+Bootstrap+AngularJS+Jquery+WebSocket；High in the clouds
The backstage of server uses the web page frame Express based on Node.js.
The remote diagnosis video monitoring streaming media server system uses stream media technology, realizes that the sound of fault in-situ regards
The audio and video that frequency plays end according to acquisition, the steaming transfer at streaming media server end and Remote obtain；
Audio, video data acquires：The sound and image of fault in-situ lathe are acquired, the audio, video data after acquisition is converted into byte
Code is mixed and is compressed, and is finally packaged into audio and video format, is exactly so-called audiovisual compression coding；Compressed sound is encoded to regard
Frequency evidence is converted into code stream and then plug-flow to streaming media server；
The audio/video flow distribution of maintenance sites is transferred to all viewers by the steaming transfer at streaming media server end；
The stream medium data for playing end obtains：Remote obtains the stream medium data of streaming media server, and then convection current carries out
Parsing decoding plays.
The remote diagnosis mobile terminal system uses Model-View-Controller frameworks, is divided into 5 parts, point
It it is not interface UI layers, control layer, data Layer, network layer and tool layer；
Interface UI layers is responsible for the various interfaces of displaying, is the expresser of data；
Control layer is core, is responsible for controlling the co-ordination between other each layers and event control；
Data Layer is responsible for the work of data model definitions and data persistence, and for different data type and characteristic, selection is closed
Suitable mode is stored, and is supplied to extraneous suitable interface to store or extract data；
Network layer is responsible for being encapsulated the processing of network request, related service, data and to the unified interface of extraneous exposure.
The beneficial effects of the present invention are：Numerically controlled machine remote live collaboration fault diagnosis of the present invention and maintenance system, profit
It is set up with LabVIEW virtual instrument techniques, Node.js background servers technology, stream media technology and iOS mobile terminal technologies remote
Remote fault diagnosis system can make data acquisition, transmission and processing be integrated into a shared platform, make the work of Fault diagnosis expert
A collected data are sent to long-range cloud service by the limitation for having broken away from spatial position and condition in real time by network
Device, then storage and distribution is carried out by Cloud Server.For live collaboration, this system has built a cooperation intercommunion platform, supports
The real-time online written communication and picture and file-sharing of field engineer and Remote.Meanwhile it can be with when field engineering
Using multi-medium datas such as mobile device acquisition fault in-situ picture, videos and it is sent to cloud server, remote diagnosis expert
It can be with the various multi-medium datas of real time inspection.In addition, this system uses HTTPS encryption technologies, the safe transmission of data has been ensured.
Description of the drawings
Fig. 1 is numerically controlled machine remote live collaboration fault diagnosis of the present invention and maintenance system functional framework figure；
Fig. 2 is system structure of the invention figure；
Fig. 3 is Cloud Server Technical Architecture figure of the present invention；
Fig. 4 is the critical workflow of stream media system of the present invention；
Fig. 5 is mobile terminal software Organization Chart of the present invention.
Specific implementation mode
Fig. 1 be numerically controlled machine remote live collaboration fault diagnosis of the present invention and maintenance system functional framework figure, it is of the invention
Key operation object is fault diagnosis and the repair of a variety of numerically-controlled machine tool models, which uses three-tier system framework, first layer
For data service layer, main fault case data, the storage of sensor historic data and modification, the user related data of providing is deposited
Storage；The second layer is to be responsible for cloud server, distance sensor and fault diagnosis browser using logical layer, also known as middle layer
Between data processing and transmission；Third layer is client layer, and this system need not remotely install client-side program, directly browse
Device input address can be in the long-range communication realized with FE field engineering teacher and to lathe diagnosis.Specifically, in order to realize
System above framework, the present invention include four subsystems, the main monitoring vibration signal of data collecting system, current signal, temperature
Signal etc.；Remote diagnosis cloud server system is primarily to realize fault case management, failure picture, video, on file
Pass shared, sensing data real-time Transmission, and exchange in real time；Remote diagnosis video monitoring streaming media system is mainly for realization
Audio, video data acquires, the steaming transfer at streaming media server end, and the stream medium data for playing end obtains；Remote diagnosis mobile terminal
System, the system are based on iOS mobility devices, realize the shooting and upload of fault in-situ picture, video, real time flow medium letter
Number acquisition transmission, the functions such as the displaying of error listing and details and the sending out notice of failure up-to-date information.
Whole system uses specific framework as shown in Fig. 2, can be divided into three layers of upper-lower interactive for specific, wherein
First layer is data Layer, including MongoDB databases and the storage of File files；Data interaction is carried out with middle layer, it is main to provide
Fault case data, the storage of sensor historic data and modification, user related data storage；Second layer application logical layer,
Referred to as middle layer, including remote diagnosis cloud server system and remote diagnosis video monitoring streaming media server system are responsible for
Cloud server, distance sensor and fault diagnosis browser（Client layer）Between data processing and transmission, this system is face
To the fault diagnosis of a variety of numerically-controlled machine tool models, therefore external sensor and data acquisition equipment are used, utilizes existing number
The data acquisition of lathe characteristic signal is realized according to capture card, sensor, LabVIEW virtual instruments, and is transmitted to cloud service
Device, meanwhile, in order to obtain live real-time video, stream medium data collecting device is needed, therefore devise on mobile terminals remote
Journey diagnostic clients end software systems support real-time acquisition and the plug-flow of fault in-situ vision signal, while the software has failure
The functions such as case displaying, photo and video capture and upload, fault message push prompting.Third layer client layer, this system are long-range
Client-side program need not be installed, can directly be realized and FE field engineering long-range in web browser input address
The communication of teacher and diagnosis to lathe.
To achieve the goals above, data Layer includes remote diagnosis data collecting system, it can both send data to
Remote diagnosis cloud server system, but the interface that can be provided according to cloud server realizes the acquisition of high in the clouds error listing；It answers
Include remote diagnosis cloud server system and remote diagnosis video monitoring streaming media server system with logical layer；Remote diagnosis
Mobile terminal system is real-time acquisition and the plug-flow that fault in-situ vision signal is supported to realize that stream medium data acquires, together
When the software have the function of that fault case displaying, photo and video capture and upload, fault message push are reminded etc..Wherein：
1, remote diagnosis data collecting system：Data acquisition software is carried out using virtual instrument Integrated Development Environment Labview
Exploitation obtains cloud server fault case table data by http protocol, using streaming Socket send real time data to
Cloud server.
The selection of remote diagnosis data source signal：The type and quantity for the characteristic signal that numerically-controlled machine tool generates at work are many
It is more, in remote diagnosis, if clearly infeasible to all status signal monitorings, so should select most reflect machine
The signal of bed feature is as diagnosis basis, to reach efficient, accurate fault diagnosis.The principle of data source signal selection, one
As can be used as characteristic parameter, should have following characteristic：（1）Sensibility：Characteristic parameter should maximumlly reflect the work of lathe
State, in the case of the faint variation of machine tool operating status, characteristic parameter can generate larger variation, and can be objectively anti-
Machine tool state should be gone out；（2）Reliability：Certain rule should be presented with the state change of tested lathe in characteristic parameter as far as possible
Rule, and there is higher repdocutbility；（3）Feasibility：The measurement of characteristic parameter should have realistic feasibility, convenient for being examined by sensor
It surveys.In the present invention, in conjunction with existing hardware condition, this system has selected the signals such as electric current, vibration and temperature for monitoring lathe
And its working of motor.
In the present invention, the selection of remote diagnosis data acquisition hardware includes temperature sensor, current sensor, vibrating sensing
Device, DAQ data collecting cards.
In the present invention, the design of remote diagnosis data acquisition software, is the acquisition of Labview fault case lists first, therefore
Barrier diagnosis must be directed to some independent fault case, so must also be directed to specific case during gathered data
Example, this just needs the error listing for obtaining cloud server, and then FE field engineering teacher selects corresponding fault case to carry out
Data collection task.This system Labview uses HTTP（HyperText Transfer Protocol）Agreement and cloud service
Device is communicated to obtain error listing data.HTTP is located at the application layer in seven layer network models of OSI, have it is simple and quick,
The advantages that flexible.Using the http network kit and Socket network tool packets under LabVIEW, provided according to cloud server
Interface realize the acquisition of high in the clouds error listing and the real-time Transmission of sensing data.Secondly, LabVIEW sensing datas hair
Pre-treatment is sent, before starting to send sensing data to server, it is necessary to notify the failure corresponding to these data of server
Case, therefore this acquisition system uses the GET request of http protocol, and fault case id is sent to server, server energy
Understand the fault case corresponding to next monitoring data.Finally, Labview sends sensing data, we are to use before
HTTP agreements and Cloud Server exchange data, but HTTP is stateless, and client often carries out a HTTP with server
Operation just establishes primary connection, but high requirement of real time is not achieved with regard to middle connection breaking after task.The sensor of acquisition
Signal is a continuous signal, it is clear that HTTP is not suitable for such scene, it would therefore be desirable to use Socket interfaces.
It is the intervening software abstraction layer interface of application layer and transport layer in network model, Socke interfaces define many network connections
APIs, enable programmers to be easy to be used to develop the application program based on TCP/IP networks.
2, remote diagnosis cloud server system：Functional requirement and performance requirement need to be met, wherein functional requirement includes：Therefore
The management of barrier case, fault correlation graph piece, video, file upload are shared, real time sensor data, are exchanged in real time.Performance requirement packet
It includes：Real-time, opening, scalability.
Medium-long range of the present invention diagnosis cloud server system uses B/S frameworks, in order to reduce UI layers, logical layer and data Layer
The degree of coupling between three, cloud server system use model-view-controller（Model-View-Controller）Design
Pattern, general frame are as shown in Figure 3.
In data Layer, we operate MongoDB databases using Mongoose frames.Mongoose is one and incites somebody to action
JavaScript objects generate a frame of relationship with database, can be used for connecting Node.js and MongoDB.
The logic and page effect of the front end of Cloud Server based on Node.js mainly use HTML5+CSS3+
Bootstrap+AngularJS+Jquery+WebSocket are realized.HTML+CSS completes the typesetting of the page,
WebSocket completes the transmission of real time data, and AngularJS+Jquery is used for the dynamic binding of page data, using Ajax
Technology come ensure user interaction timely respond to, this makes it possible to reach good user's interaction effect.
The backstage of cloud server uses the web page frame Express based on Node.js.Express frames are for we
The bottom work of many request analysis is done, we can concentrate on the coding of service logic in this way, improve
The efficiency of exploitation.Express frames are also based on MVC（Model-View-Controller）Design pattern, Er Qiezhi
Hold the Web applications for meeting RESTful styles and routing management.
3. the remote diagnosis video monitoring streaming media system uses real-time mode, i.e., so-called stream media technology, media text
For number of packages according to being to be transmitted in the form of streaming, then stream data cache plays flow data in real time in client's end memory, realize
The effect played when downloading.In numerically controlled machine remote maintenance system, in order to which maintenance expert can remotely be referred in real time
Lead maintenance process, this system uses stream media technology, acquires the sound of fault in-situ, video data and pushes it to server,
Webpage front-end can pull real-time sound, video data.
The architecture design of stream media system, considers the following scenario：Maintenance personal passes through camera shooting in machine failure field maintenance
Head and microphone, the audio/video information of fault in-situ are output on network, multidigit machine upkeep expert passes through interconnection in various regions
Net watches maintenance process in real time.Here there are several key points：The audio, video data acquisition of fault in-situ, streaming media server end
Steaming transfer and Remote play end audio and video obtain.
（1）Audio, video data acquires it may first have to acquire the sound and image of fault in-situ lathe, exactly so-called sound regards
Frequency acquires；Audio, video data after acquisition is needed to be converted into bytecode, mixing and be compressed, and is finally packaged into certain audio and video lattice
Formula is exactly so-called audiovisual compression coding；Compressed audio, video data is encoded, can't be needed directly in network transmission
It is converted into certain code stream such as RTMP, then plug-flow to streaming media server.
（2）The audio/video flow distribution of maintenance sites is transferred to all viewers by the steaming transfer at streaming media server end.
（3）The stream medium data for playing end obtains, and Remote obtains the stream medium data of streaming media server, then right
Stream carries out parsing decoding and plays.
Therefore, according to above several key-point analysis, the critical workflow of stream media system is as shown in Figure 4.
First, the selection of remote diagnosis stream media system transport protocol will realize that media stream data transmits between each end,
Relevant application layer protocol is had to comply on each end.Streaming transfer protocol is as the crucial composition portion in stream media system
Point, indispensable role is played in stream media system.Currently, the agreement of common Streaming Media real-time Transmission has HTTP
（HyperText Transfer Protocol）- FLV agreements, RTMP（Real Time Messaging Protocol）Agreement
And HLS（HTTP Live Streaming）Agreement.
Secondly, the server of remote diagnosis video monitoring streaming media system, streaming media server provides sound for user
Video stream data distribution platform, it is mainly responsible for receiving stream media data and caches pulls Streaming Media for other-end in memory
Data.Streaming media server realizes the functions such as reception, caching, transfer and the transmission of streaming media data.Typical Streaming Media
Server has SRS, CRTMP, nginx-rtmp, Red5, FMS etc..By comparing, in the present system we select superior performance and
The Nginx-RTMP streaming media servers having good stability.The deployment of streaming media server, crucial step have：Download installation
Nginx downloads the extension rtmp modules of installation Nginx, and after installation is complete, we check nginx version numbers in terminal input
Order, configure RTMP modules.
Finally, realize that remote diagnosis webpage front-end plays, on the player of front end webpage, we select Video.js.
Video.js is a web player class libraries, it supports to play video by HTML5, while supporting HTML5 to situation
Under, it can automatically switch to Flash and broadcast.The video flowing that RTMP agreements are played using Viedeo.js is very simple, as long as we
Specify the size and location of its video address and player that can easily realize the video flowing for obtaining server.
4. remote diagnosis mobile terminal system is developed on iOS mobile terminals and devises remote diagnostic clients software,
The software support fault in-situ vision signal it is real-time acquisition and plug-flow, while the software have fault case displaying, photo and
The functions such as video capture and upload, fault message push prompting.
In order to reduce the coupling of each logical level in software, this terminal software uses MVC (Model-View-
Controller) framework, entire terminal software can substantially be divided into 5 parts, be interface UI layers respectively, control layer, data Layer,
Network layer and tool layer.Specific framework is as shown in Figure 5.
Data Layer is responsible for the work of data model definitions and data persistence, for different data type and characteristic, I
Need that suitable mode is selected to be stored, and be supplied to extraneous suitable interface to store or extract data.
Interface UI layers is mainly responsible for the various interfaces of displaying, is the expresser of data.This layer needs to note when design
Meaning embodying the comprehensive beauty of data as possible, and to be adapted to various sizes of equipment.
Control layer is the core of entire terminal software design, it be mainly responsible for the co-ordination between controlling other each layers with
And event control.First, when an event occurs（As user clicks）, taken corresponding data or use by it to control to data Layer
Network layer initiates request, after obtaining data, gives boundary layer data by it and shows.It can be said that control layer plays data flow
Housekeeping roles control the data flow of entire terminal software.
Network layer is responsible for the processing of network request, related service, data being encapsulated and be connect to external world's exposure unification
Mouthful, the center of gravity of network layer design is uniformly controlled and number what the unified management and required parameter asked with HTTP and result were adjusted back
According to parsing.
Claims (5)
1. a kind of numerically controlled machine remote live collaboration fault diagnosis and maintenance system, which is characterized in that three including upper-lower interactive
Layer,
First layer data Layer：Fault case data, the storage of sensor historic data and modification, user related data is provided to deposit
It stores up, temperature sensor, current sensor, vibrating sensor monitor Vibration of Computerized Numerical Control Machine respectively in remote diagnosis data collecting system
Signal, current signal, temperature signal acquire each signal by DAQ data collecting cards, and remote diagnosis data collecting system is by data
It is transmitted to remote diagnosis cloud server system, the interface provided according to cloud server system realizes obtaining for high in the clouds error listing
It takes；
Second layer application logical layer：The data processing being responsible between cloud server, distance sensor and fault diagnosis browser
And transmission, including remote diagnosis cloud server system and remote diagnosis video monitoring streaming media server system, remote diagnosis
Mobile terminal system realizes stream medium data acquisition, the real-time acquisition of fault in-situ vision signal and plug-flow, remote diagnosis video
It monitors stream media server system and uses real-time mode, media file data is to be transmitted in the form of streaming, stream data cache
In client's end memory, flow data is played in real time, is realized and is played when downloading；
Third layer client layer：Directly by web browser input address, the communication with FE field engineering teacher is realized and to lathe
Diagnosis.
2. numerically controlled machine remote live collaboration fault diagnosis and maintenance system according to claim 1, which is characterized in that described
Remote diagnosis data collecting system obtains the error listing of cloud server, and then FE field engineering teacher selects corresponding failure
Case carries out data collection task, and remote diagnosis data collecting system Labview is carried out using http protocol and cloud server
It communicates to obtain error listing data, using the http network kit and Socket network tool packets under LabVIEW, according to cloud
The interface that server provides is held to realize the real-time Transmission of the acquisition and sensing data of high in the clouds error listing.
3. numerically controlled machine remote live collaboration fault diagnosis and maintenance system according to claim 1, which is characterized in that described
Remote diagnosis cloud server system uses B/S frameworks, and pattern is designed using model-view-controller；In data Layer, use
Mongoose frames operate MongoDB databases；The logic and the page of the front end of Cloud Server based on Node.js are imitated
Fruit is realized using HTML5+CSS3+Bootstrap+AngularJS+Jquery+WebSocket；After cloud server
Platform uses the web page frame Express based on Node.js.
4. numerically controlled machine remote live collaboration fault diagnosis and maintenance system according to claim 1, which is characterized in that described
Remote diagnosis video monitoring streaming media server system use stream media technology, realize fault in-situ audio, video data acquisition,
The audio and video that the steaming transfer and Remote at streaming media server end play end obtain；
Audio, video data acquires：The sound and image of fault in-situ lathe are acquired, the audio, video data after acquisition is converted into byte
Code is mixed and is compressed, and is finally packaged into audio and video format, is exactly so-called audiovisual compression coding；Compressed sound is encoded to regard
Frequency evidence is converted into code stream and then plug-flow to streaming media server；
The audio/video flow distribution of maintenance sites is transferred to all viewers by the steaming transfer at streaming media server end；
The stream medium data for playing end obtains：Remote obtains the stream medium data of streaming media server, and then convection current carries out
Parsing decoding plays.
5. numerically controlled machine remote live collaboration fault diagnosis and maintenance system according to claim 1, which is characterized in that described
Remote diagnosis mobile terminal system uses Model-View-Controller frameworks, is divided into 5 parts, is interface UI respectively
Layer, control layer, data Layer, network layer and tool layer；
Interface UI layers is responsible for the various interfaces of displaying, is the expresser of data；
Control layer is core, is responsible for controlling the co-ordination between other each layers and event control；
Data Layer is responsible for the work of data model definitions and data persistence, and for different data type and characteristic, selection is closed
Suitable mode is stored, and is supplied to extraneous suitable interface to store or extract data；
Network layer is responsible for being encapsulated the processing of network request, related service, data and to the unified interface of extraneous exposure.
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| CN109933004A (en) * | 2019-03-27 | 2019-06-25 | 苏芯物联技术(南京)有限公司 | The machine failure diagnosis and prediction method and system cooperateed with based on edge calculations and cloud |
| CN110138587A (en) * | 2019-04-04 | 2019-08-16 | 天津市天锻压力机有限公司 | Automation line remote monitoring system and monitoring method based on industrial cloud APP |
| CN110389561A (en) * | 2019-06-06 | 2019-10-29 | 重庆工程学院 | A kind of intelligence numerically-controlled machine tool information acquisition system and its working method |
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| CN112834168A (en) * | 2020-12-30 | 2021-05-25 | 中国科学院长春光学精密机械与物理研究所 | System and method for detecting faults of aerial camera |
| CN113779939A (en) * | 2021-09-14 | 2021-12-10 | 成都海光核电技术服务有限公司 | Generation method and use method of document hot patch and document hot patch device |
| CN113779939B (en) * | 2021-09-14 | 2024-02-27 | 成都海光核电技术服务有限公司 | Document hot patch generation method, document hot patch application method and document hot patch Ding Zhuangzhi |
| CN114615240A (en) * | 2022-03-02 | 2022-06-10 | 华南理工大学 | File transmission and cloud storage system of mass-sending response type numerical control machine tool |
| CN114615240B (en) * | 2022-03-02 | 2023-03-24 | 华南理工大学 | File transmission and cloud storage system of group-sending response type numerical control machine tool |
| CN114756318A (en) * | 2022-04-20 | 2022-07-15 | 杰显通计算机系统(深圳)有限公司 | Video collaboration management and control system and method |
| CN115550862A (en) * | 2022-11-29 | 2022-12-30 | 国网瑞嘉(天津)智能机器人有限公司 | Data transmission method and system of electric power robot and electronic equipment |
| CN115550862B (en) * | 2022-11-29 | 2023-03-28 | 国网瑞嘉(天津)智能机器人有限公司 | Data transmission method and system of electric power working robot and electronic equipment |
| CN116560340A (en) * | 2023-05-15 | 2023-08-08 | 三峡科技有限责任公司 | Fault remote session guidance diagnosis system |
| CN116560340B (en) * | 2023-05-15 | 2023-12-01 | 三峡科技有限责任公司 | Fault remote session guidance diagnosis system |
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