CN207408818U - A kind of numerically-controlled machine tool with failure predication and diagnostic function - Google Patents
A kind of numerically-controlled machine tool with failure predication and diagnostic function Download PDFInfo
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- CN207408818U CN207408818U CN201721045935.7U CN201721045935U CN207408818U CN 207408818 U CN207408818 U CN 207408818U CN 201721045935 U CN201721045935 U CN 201721045935U CN 207408818 U CN207408818 U CN 207408818U
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Abstract
The utility model discloses a kind of numerically-controlled machine tools with failure predication and diagnostic function, including numerically-controlled machine tool body, fault monitoring system, status predication assessment system and fault diagnosis system, numerically-controlled machine tool body includes machine body, drive system, auxiliary system and digital control system；Fault monitoring system includes data monitoring device and video monitoring device, and status predication assessment system includes failure forecasting models and Performance Degradation Model, and fault diagnosis system includes database server and industry control host computer；The utility model can effectively realize the prediction of online and remote failure and the automatic diagnostic function of numerically-controlled machine tool, and the high accuracy and high efficiency of diagnosis are far above traditional maintenance mode based on experience；Corresponding processing method can also be provided while failure is predicted, can effectively shorten equipment downtime, the exclusion difficulty of equipment fault is reduced, so as to further improve maintenance efficiency.
Description
Technical field
The utility model belongs to numerical control machine tool technique field, particularly a kind of numerical control with failure predication and diagnostic function
Lathe.
Background technology
Numerically-controlled machine tool is the basis of modern manufacturing industry, directly affects economic development and the overall national strength of country, is a state
The important embodiment of family's manufacturing industry level, plays a significant role in industries such as aerospace, water power, machineries.Event occurs for numerically-controlled machine tool
Barrier, not only influences production efficiency, equipment downtime is caused when serious or causes huge economic loss, China's numerical controlled machinery processing row
The part quality causality loss caused by equipment catastrophic failure accounts for the 30% of total amount to industry every year, and numerical control device utilization rate is also only
30% or so (international most advanced level is 60%~80%).
The problem of difficult is ensured for CNC Machine Tool Maintenance, and domestic and international numerically-controlled machine tool producer has carried out " failure predication and diagnosis
The research of technology " and " Remote Monitoring Technology " etc., achieves certain achievement in research.External lathe producer has developed one
The remote monitorings and diagnostic system of our company's product are used for a bit, but its needs develops the same design of initial stage progress, same manufacture in lathe,
And its versatility, poor practicability, China's introducing and employment for example can not achieve there are problems and hidden danger towards whole production line
Presence states monitoring and networking remote diagnosis；It can not be promoted and applied in existing import and domestic high-grade, digitally controlled machine tools；No
Security requirements of military product production etc. can be met.
Therefore, carry out the autonomous research to equipment fault prediction and diagnostic techniques, capture numerical control device key maintenance technology,
Maintenance mode, the prediction of realization Intelligent fault and diagnosis are innovated, improves numerically-controlled machine tool application level, is involved the interests of the state and the people and national
Safety, it is imperative, it has important practical significance.
Utility model content
For above deficiency, the utility model provides a kind of numerically-controlled machine tool with failure predication and diagnostic function, has
Effect realizes the prediction of online and remote failure and the automatic diagnostic function of numerically-controlled machine tool.The prediction of the numerically-controlled machine tool state and failure
Diagnosis be all automatically performed by computer, diagnosis accuracy and efficiency be far above the maintenance mode based on Conventional wisdom.
The purpose of this utility model can be achieved through the following technical solutions：
A kind of numerically-controlled machine tool with failure predication and diagnostic function, including numerically-controlled machine tool body, fault monitoring system, shape
State forecast assessment system and fault diagnosis system, numerically-controlled machine tool body include machine body, drive system, auxiliary system and numerical control
System；Fault monitoring system includes data monitoring device and video monitoring device, and status predication assessment system indicates including failure
Model and Performance Degradation Model, fault diagnosis system include database server and industry control host computer；
Machine body is connected respectively with drive system, auxiliary system, the drive system, auxiliary system respectively with numerical control system
System is connected；Data monitoring device includes sample connection module, sensor array, data acquisition module and data transmission module, depending on
Frequency monitoring device includes streaming media server and several monitoring cameras；Sensor array includes main in measurement machine body
Axis, the vibrating sensor of guide rail and leading screw, current sensor, temperature sensor and acoustic emission sensor are measured in drive system
Velocity sensor, current sensor and the voltage sensor of servomotor, measure auxiliary system in hydraulic system, cooling system and
Pressure sensor, flow sensor and the temperature sensor of lubricating system；Sensor array input terminal connects respectively with the sampling
Mouth mold block, which is connected, samples numerically-controlled machine tool operation data, and sensor array output terminal is connected with the data acquisition module,
Data acquisition module is connected by RS485 ports with the data transmission module；Monitoring camera is separately mounted to numerically-controlled machine tool
The acquisition of comprehensive multi-angle video data, monitoring camera profit are carried out in body on main shaft, guide rail, leading screw and servomotor
Network transmission is carried out to video data with stream media protocol, streaming media server receives the video data and carries out classification storage
Processing；
The data transmission module and streaming media server are examined by Ethernet with status predication assessment system, failure respectively
Disconnected system is connected, and database server is transmitted to industry control host computer by wireless network mode, and event is equipped in industry control host computer
Hinder monitoring software, fault monitoring software is by reading related Operational Data Analysis failure cause.
To when numerically-controlled machine tool operation data measuring in production line, first numerically-controlled machine tool being powered off and is shut down, by sensor array
Each sensor insertion sample connection module in row, data acquisition module powers on, in numerically-controlled machine tool course of normal operation, to data
It is sampled；The operation data acquisition of numerically-controlled machine tool is by being also easy to produce the corresponding sensing of location of fault arrangement in each lathe
Device, and pass through multichannel mixed type data acquisition module and various operation state parameters are gathered in real time, while can also read
The error code of each axis servo-driver of numerically-controlled machine tool is taken, these data are uploaded to status predication assessment respectively by Ethernet
System carries out carrying out storage processing in analysis and database server；The operation video acquisition of numerically-controlled machine tool is by each machine
Bed is also easy to produce location of fault and arranges corresponding monitoring camera, and monitoring camera after operation video acquisition using Streaming Media to being assisted
View carries out video data network transmission, and streaming media server passes through Ethernet after receiving video data and categorized storage processing
It is uploaded to respectively in status predication assessment system and carries out carrying out storage processing in analysis and database server.
Further, correlation can be run data, video data and failure by the database server by internet
Information feeds back to numerically-controlled machine tool manufacturer.
Further, data acquisition module is using analog quantity, digital quantity mixed type data acquisition module.
Further, the data transmission module turns the wireless data transfer module of WIFI using RS485 serial ports.
Further, the database server carries out network transmission with user terminal, and the user terminal includes PC machine
And smart mobile phone.
Further, between the monitoring camera and streaming media server and database server and user terminal
Between pass through RTSP stream media protocols carry out video data network transmission.
Further, sensor is intelligence sensor in the sensor array.
After database server receives operation data message and video information, on the one hand it can be carried out with producer or user terminal
Telecommunication, analysis fault condition, failure forecasting models and Performance Degradation Model in one side bonding state forecast assessment system
The prediction result analyzed provides last prediction and fault diagnosis conclusion by fault monitoring software in industry control host computer.
Compared with prior art, a kind of numerically-controlled machine tool with failure predication and diagnostic function provided by the utility model,
The detection of the numerically-controlled machine tool state and the diagnosis of failure are all automatically performed by computer, can effectively realize the online of numerically-controlled machine tool and
Remote failure is predicted and automatic diagnostic function, and the high accuracy and high efficiency of diagnosis are far above traditional repair based on experience
Pattern；The system can also provide corresponding processing method while failure is predicted, can effectively shorten equipment downtime, reduce
The exclusion difficulty of equipment fault, so as to further improve maintenance efficiency.
Description of the drawings
Fig. 1 is the frame construction drawing of the utility model numerically-controlled machine tool.
Specific embodiment
The following is a combination of the drawings in the embodiments of the present utility model, and the technical scheme in the embodiment of the utility model is carried out
It clearly and completely describes, it is clear that the described embodiments are only a part of the embodiments of the utility model rather than whole
Embodiment.Based on the embodiment in the utility model, those of ordinary skill in the art are without making creative work
All other embodiments obtained, any modifications, equivalent replacements and improvements are made should be included in the utility model
Within protection domain.
A kind of numerically-controlled machine tool with failure predication and diagnostic function, as shown in Figure 1, including numerically-controlled machine tool body 1, failure
Monitoring system 2, status predication assessment system 3 and fault diagnosis system 4, numerically-controlled machine tool body 1 include machine body 5, driving system
System 6, auxiliary system 7 and digital control system 8；Fault monitoring system 2 includes data monitoring device 9 and video monitoring device 10, state
Forecast assessment system 3 includes failure forecasting models 11 and Performance Degradation Model 12, and fault diagnosis system 4 includes database server
13 and industry control host computer 14；
Machine body 5 is connected respectively with drive system 6, auxiliary system 7, drive system 6, auxiliary system 7 respectively with numerical control
System 8 is connected；Data monitoring device 9 includes sample connection module, sensor array, data acquisition module and data transmission mould
Block, video monitoring device 10 include streaming media server and several monitoring cameras；Sensor array includes measurement lathe sheet
Main shaft, the vibrating sensor of guide rail and leading screw, current sensor, temperature sensor and acoustic emission sensor in body, measurement driving
The velocity sensor of servomotor, current sensor and voltage sensor in system 6 measure hydraulic system, cold in auxiliary system 7
But the pressure sensor of system and lubricating system, flow sensor and temperature sensor；Sensor array input terminal respectively with institute
It states sample connection module and is connected and numerically-controlled machine tool operation data are sampled, sensor array output terminal and the data acquisition module
Block is connected, and data acquisition module is connected by RS485 ports with the data transmission module；Monitoring camera is separately mounted to count
The acquisition of comprehensive multi-angle video data is carried out in control machine body on main shaft, guide rail, leading screw and servomotor, monitoring is taken the photograph
As head using stream media protocol to video data progress network transmission, streaming media server receives the video data and is simultaneously divided
Class storage is handled.
The data transmission module and streaming media server by Ethernet respectively with status predication assessment system 3, failure
Diagnostic system 4 is connected, and database server 13 is transmitted to industry control host computer 14 by wireless network mode, in industry control host computer 14
Fault monitoring software is installed, fault monitoring software is by reading related Operational Data Analysis failure cause and passing through numerically-controlled machine tool
On man-machine interface show fault message.
To when numerically-controlled machine tool operation data measuring in production line, first numerically-controlled machine tool being powered off and is shut down, by sensor array
Each sensor insertion sample connection module in row, data acquisition module powers on, in numerically-controlled machine tool course of normal operation, to data
It is sampled；The operation data acquisition of numerically-controlled machine tool is by being also easy to produce the corresponding sensing of location of fault arrangement in each lathe
Device, and pass through multichannel mixed type data acquisition module and various operation state parameters are gathered in real time, while can also read
The error code of each axis servo-driver of numerically-controlled machine tool is taken, these data are uploaded to status predication assessment respectively by Ethernet
System 3 carries out carrying out storage processing in analysis and database server 13；The operation video acquisition of numerically-controlled machine tool is by each
Platform lathe is also easy to produce location of fault and arranges corresponding monitoring camera, and monitoring camera flows matchmaker to being utilized after operation video acquisition
Body agreement to video data carry out network transmission, streaming media server receive video data and categorized storage processing after by with
Too net, which is uploaded to respectively in status predication assessment system 3, carries out carrying out storage processing in analysis and database server 13.
The database server 13 can be fed back correlation operation data, video data and fault message by internet
Give numerically-controlled machine tool manufacturer.
The data acquisition module is using analog quantity, digital quantity mixed type data acquisition module.
The data transmission module turns the wireless data transfer module of WIFI using RS485 serial ports.
The database server 13 carries out network transmission with user terminal, and the user terminal includes PC machine and intelligent hand
Machine.
Lead between the monitoring camera and streaming media server and between database server 13 and user terminal
It crosses RTSP stream media protocols and carries out video data network transmission.
Sensor is intelligence sensor in the sensor array.
After database server 13 receives operation data message and video information, on the one hand can with producer or user terminal into
Row telecommunication, analysis fault condition, failure forecasting models and performance degradation mould in one side bonding state forecast assessment system 3
The prediction result that type analysis go out provides last prediction and fault diagnosis conclusion by fault monitoring software in industry control host computer 14.
Claims (7)
1. a kind of numerically-controlled machine tool with failure predication and diagnostic function, which is characterized in that supervised including numerically-controlled machine tool body, failure
Examining system, status predication assessment system and fault diagnosis system, the numerically-controlled machine tool body include machine body, drive system,
Auxiliary system and digital control system；The fault monitoring system includes data monitoring device and video monitoring device, and the state is pre-
Surveying assessment system includes failure forecasting models and Performance Degradation Model, and the fault diagnosis system includes database server and work
Control host computer；
The machine body is connected respectively with drive system, auxiliary system, the drive system, auxiliary system respectively with numerical control system
System is connected；The data monitoring device includes sample connection module, sensor array, data acquisition module and data transmission mould
Block, the video monitoring device include streaming media server and several monitoring cameras；The sensor array includes measurement
Main shaft, the vibrating sensor of guide rail and leading screw, current sensor, temperature sensor and acoustic emission sensor in machine body are surveyed
Velocity sensor, current sensor and the voltage sensor of servomotor in drive system are measured, measures hydraulic pressure system in auxiliary system
Pressure sensor, flow sensor and the temperature sensor of system, cooling system and lubricating system；The sensor array input terminal
It is connected respectively with the sample connection module and numerically-controlled machine tool operation data is sampled, the sensor array output terminal and institute
It states data acquisition module to be connected, the data acquisition module is connected by RS485 ports with the data transmission module；The prison
Control camera is separately mounted in numerically-controlled machine tool body to carry out comprehensive, multi-angle on main shaft, guide rail, leading screw and servomotor to regard
The acquisition of frequency evidence, the monitoring camera carry out video data network transmission, the Streaming Media clothes using stream media protocol
Business device receives the video data and carries out classification storage processing；
The data transmission module and streaming media server by Ethernet respectively with status predication assessment system, fault diagnosis system
System is connected, and the database server is transmitted to industry control host computer by wireless network mode, is installed in the industry control host computer
Faulty monitoring software, the fault monitoring software is by reading related Operational Data Analysis failure cause and passing through numerically-controlled machine tool
On man-machine interface show fault message.
2. there is the numerically-controlled machine tool of failure predication and diagnostic function according to claim 1, which is characterized in that the database
Correlation operation data, video data and fault message are fed back to numerically-controlled machine tool manufacturer by server by internet.
3. there is the numerically-controlled machine tool of failure predication and diagnostic function according to claim 1, which is characterized in that data acquisition module
Block is using analog quantity, digital quantity mixed type data acquisition module.
4. there is the numerically-controlled machine tool of failure predication and diagnostic function according to claim 1, which is characterized in that the data pass
Defeated module turns the wireless data transfer module of WIFI using RS485 serial ports.
5. there is the numerically-controlled machine tool of failure predication and diagnostic function according to claim 1, which is characterized in that the database
Server carries out network transmission with user terminal, and the user terminal includes PC machine and smart mobile phone.
6. there is the numerically-controlled machine tool of failure predication and diagnostic function according to claim 1, which is characterized in that the monitoring is taken the photograph
As being carried out between head and streaming media server and between database server and user terminal by RTSP stream media protocols
Video data network transmission.
7. there is the numerically-controlled machine tool of failure predication and diagnostic function according to claim 1, which is characterized in that the sensor
Sensor is intelligence sensor in array.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201721045935.7U CN207408818U (en) | 2017-08-10 | 2017-08-10 | A kind of numerically-controlled machine tool with failure predication and diagnostic function |
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| CN201721045935.7U CN207408818U (en) | 2017-08-10 | 2017-08-10 | A kind of numerically-controlled machine tool with failure predication and diagnostic function |
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| CN201721045935.7U Expired - Fee Related CN207408818U (en) | 2017-08-10 | 2017-08-10 | A kind of numerically-controlled machine tool with failure predication and diagnostic function |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN110044631A (en) * | 2019-03-13 | 2019-07-23 | 中交广州航道局有限公司 | Trend prediction method, device and the computer equipment of ship machine diesel engine |
| CN110764463A (en) * | 2018-07-27 | 2020-02-07 | 西门子（中国）有限公司 | Monitoring system and computer numerical control system comprising same |
| CN110989498A (en) * | 2019-12-24 | 2020-04-10 | 襄阳华中科技大学先进制造工程研究院 | Numerical control machine tool monitoring system |
| CN111007833A (en) * | 2019-12-12 | 2020-04-14 | 西安锐驰电器有限公司 | Numerical control machine tool accident detection system |
| CN111308959A (en) * | 2020-03-04 | 2020-06-19 | 武汉华中数控股份有限公司 | Numerical control machine tool monitoring system and method based on instruction domain data synchronization |
| CN111506043A (en) * | 2020-04-09 | 2020-08-07 | 中国船舶工业综合技术经济研究院 | Fault prediction system for key components of naval gun |
| CN112486096A (en) * | 2020-12-09 | 2021-03-12 | 中国兵器装备集团自动化研究所 | Machine tool operation state monitoring method |
| CN113009885A (en) * | 2019-12-20 | 2021-06-22 | 中国科学院沈阳计算技术研究所有限公司 | Digital mapping system and method for safety state of numerical control system |
| CN114161225A (en) * | 2021-12-10 | 2022-03-11 | 上海诺倬力机电科技有限公司 | Five first intelligent feedback devices and machine tool |
| CN115981240A (en) * | 2023-03-22 | 2023-04-18 | 中科航迈数控软件(深圳)有限公司 | Method, device, equipment and medium for determining fault reason of numerical control machine tool |
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- 2017-08-10 CN CN201721045935.7U patent/CN207408818U/en not_active Expired - Fee Related
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110764463B (en) * | 2018-07-27 | 2021-09-03 | 西门子（中国）有限公司 | Monitoring system and computer numerical control system comprising same |
| CN110764463A (en) * | 2018-07-27 | 2020-02-07 | 西门子（中国）有限公司 | Monitoring system and computer numerical control system comprising same |
| CN110044631A (en) * | 2019-03-13 | 2019-07-23 | 中交广州航道局有限公司 | Trend prediction method, device and the computer equipment of ship machine diesel engine |
| CN109933004B (en) * | 2019-03-27 | 2022-05-24 | 苏芯物联技术(南京)有限公司 | Machine tool fault diagnosis and prediction method and system based on edge computing and cloud cooperation |
| 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 |
| CN111007833A (en) * | 2019-12-12 | 2020-04-14 | 西安锐驰电器有限公司 | Numerical control machine tool accident detection system |
| CN113009885A (en) * | 2019-12-20 | 2021-06-22 | 中国科学院沈阳计算技术研究所有限公司 | Digital mapping system and method for safety state of numerical control system |
| CN110989498A (en) * | 2019-12-24 | 2020-04-10 | 襄阳华中科技大学先进制造工程研究院 | Numerical control machine tool monitoring system |
| CN111308959A (en) * | 2020-03-04 | 2020-06-19 | 武汉华中数控股份有限公司 | Numerical control machine tool monitoring system and method based on instruction domain data synchronization |
| CN111506043A (en) * | 2020-04-09 | 2020-08-07 | 中国船舶工业综合技术经济研究院 | Fault prediction system for key components of naval gun |
| CN111506043B (en) * | 2020-04-09 | 2021-04-09 | 中国船舶工业综合技术经济研究院 | Fault prediction system for key components of naval gun |
| CN112486096A (en) * | 2020-12-09 | 2021-03-12 | 中国兵器装备集团自动化研究所 | Machine tool operation state monitoring method |
| CN114161225A (en) * | 2021-12-10 | 2022-03-11 | 上海诺倬力机电科技有限公司 | Five first intelligent feedback devices and machine tool |
| CN114161225B (en) * | 2021-12-10 | 2024-04-26 | 上海诺倬力机电科技有限公司 | Five spindle nose intelligent feedback devices and machine tool |
| CN115981240A (en) * | 2023-03-22 | 2023-04-18 | 中科航迈数控软件(深圳)有限公司 | Method, device, equipment and medium for determining fault reason of numerical control machine tool |
| CN115981240B (en) * | 2023-03-22 | 2023-06-20 | 中科航迈数控软件(深圳)有限公司 | Method, device, equipment and medium for determining fault cause of numerical control machine tool |
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