CN109298680A - A kind of data collection system of cutting tool for CNC machine detection - Google Patents
A kind of data collection system of cutting tool for CNC machine detection Download PDFInfo
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- CN109298680A CN109298680A CN201811068407.2A CN201811068407A CN109298680A CN 109298680 A CN109298680 A CN 109298680A CN 201811068407 A CN201811068407 A CN 201811068407A CN 109298680 A CN109298680 A CN 109298680A
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- data
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- cutting tool
- cnc machine
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Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
- G05B19/406—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by monitoring or safety
- G05B19/4065—Monitoring tool breakage, life or condition
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/37—Measurements
- G05B2219/37233—Breakage, wear of rotating tool with multident saw, mill, drill
Abstract
The present invention discloses a kind of data collection system of cutting tool for CNC machine detection, including current signal collector, vibration signal collector, temperature signal collection device, moisture signal collector, data acquisition equipment, data processing module, background monitoring module, big data analysis module and data storage；Based on current signal collector, supplemented by vibration signal collector, temperature signal collection device and moisture signal collector, the real-time online data acquisition of cutting tool for CNC machine is carried out.The present invention can realize the real-time online detection of cutting tool for CNC machine using the coherent signal in effective means acquisition lathe process；The relationship that will test between signal and tool failure and cutter life is modeled, and detection efficiency is improved, and testing number is presented in the form of intuitive.
Description
Technical field
The invention belongs to Tool monitoring technical fields, acquire system more particularly to a kind of data of cutting tool for CNC machine detection
System.
Background technique
Large-scale manufacturing enterprise in that proces of numerically controlled machine tool, process tool because weighted load change and cause breaking,
The case where chipping, happens occasionally；If cutter will lead to the product that subsequent production goes out and directly report after impaired without replacing in time
It is useless, biggish economic loss is caused to enterprise.
Existing cutting tool for CNC machine detection needs periodically to remove cutter to test, this makes trivial operations, delays
Production time causes loss for enterprise；And due to cutter cannot achieve operation during real-time detection so that cutter by
If will lead to the product that subsequent production goes out without replacing in time and directly scrap after damage, biggish economic damage is caused to enterprise
It loses.
Summary of the invention
It to solve the above-mentioned problems, can the invention proposes a kind of data collection system of cutting tool for CNC machine detection
Using the coherent signal in effective means acquisition lathe process, the real-time online detection of cutting tool for CNC machine is realized；It will inspection
The relationship surveyed between signal and tool failure and cutter life is modeled, and detection efficiency is improved, and is presented in the form of intuitive
Detection data.
In order to achieve the above objectives, the technical solution adopted by the present invention is that: a kind of data acquisition of cutting tool for CNC machine detection
System, including the acquisition of current signal collector, vibration signal collector, temperature signal collection device, moisture signal collector, data
Equipment, data processing module, background monitoring module, big data analysis module and data storage；It is with current signal collector
It is main, supplemented by vibration signal collector, temperature signal collection device and moisture signal collector, carry out cutting tool for CNC machine it is real-time
Line number is according to acquisition；
The current signal collector, the current signal that acquisition lathe spindle processing generates is after data acquisition equipment acquires
It is sent to data processing module；The vibration signal collector, the vibration signal that acquisition lathe spindle processing generates are adopted through data
Data processing module is sent to after collection equipment acquisition；The temperature signal collection device acquires machine tool chief axis peripheral temperature signal, temperature
Degree signal is sent to data processing module after data acquisition equipment acquires；The moisture signal collector acquires workshop
Moisture signal, moisture signal are sent to data processing module after data acquisition equipment acquires；
The data acquisition equipment, including multiple acquisition channels continuously and uninterruptedly acquire data, the acquisition with high frequency
The acquisition interface in channel is respectively connected to current signal collector, vibration signal collector, temperature signal collection device and humidity letter
Number collector, the data output end of the data acquisition equipment are connected to data processing module；
The big data analysis module loses current signal, vibration signal, temperature signal and moisture signal with cutter respectively
Relationship between effect and cutter life establishes detection model；
The data processing module is by calling detection model to calculate collection result in real time；Collection result is fed back into backstage
In monitoring module, by background monitoring module real-time monitoring and collection result is shown；Collection result is fed back into the big data point
It analyses in module, detection model is trained and is optimized；Collection result is fed back in data storage and is stored, for user's tune
It takes.
Further, the current signal collector includes non-intrusion type current sensor, non-intrusion type current sense
Device carries out data acquisition in such a way that electromagnetic signal is converted into current signal.
Further, shielding line is provided in non-intrusion type current sensor periphery, to reduce ambient enviroment
Electromagnetic interference.Data are effectively avoided to acquire to normal production bring influence and risk.
Further, the non-intrusion type current sensor is Hall current sensor.
Further, the vibration signal collector includes vertical vibrating velocity sensor, horizontal vibration velocity pick-up
Device and axial plane vibrating speed sensors measure the vibration signal in three directions of machine tool chief axis, only pass through 3 sensors
The Omnibearing vibrating monitoring that can be realized machine tool is set.
Make further, history is acquired data by deep learning prediction algorithm in shown big data analysis module
For training sample training detection model, current signal, vibration signal, temperature signal and the moisture signal conduct of on-line real time monitoring
Test data set simultaneously inputs detection model.
Further, the data storage is stored using multi-channel synchronous, deposited in a manner of a file per minute
Specified store path, 20,000 points in every channel per second are stored up, every channel per minute stores 1,200,000 data points.
Further, further including network interface card and interchanger, the network interface card is connected to data processing module, and the interchanger connects
Connect network interface card；Data interaction is realized by network interface card and interchanger and external server or PC machine.
Using the technical program the utility model has the advantages that
The present invention can have found in time, detect the breaking and chipping event of process tool, quasi- to be added by acquiring board main shaft
Current signal, vibration signal, temperature signal, moisture signal during work etc., analyze the breaking of these signals and process tool
Relationship between chipping event constructs process tool breaking and chipping event detection model, in the actual production process, to examine
Process tool breaking and chipping event can be detected accurately and in time by surveying model, and is generated corresponding signal and alarmed and mentioned
Show；
In Interworking Data processing module of the present invention, background monitoring module and big data analysis module, big data analysis mould
Block can carry out model training and optimization according to data collected, judging nicety rate be continuously improved, and training result is timely
It feeds back in data processing module and background monitoring module；System finally will also be realized certainly moves with numerical-controlled machine tool machining process
Knife system relationship reaches factory automation, intelligentized target；
In the present invention due to the increase with rotation frequency of spindle, the frequency that vibrating occurs in main shaft is more and more, main shaft
Vibration is to influence the principal element of quality and efficiency, it is therefore necessary to be continued to machine tool chief axis vibration signal in process
Monitoring, analyzes the relationship between vibration signal and tool failure；Due to the increase with process time, machine tool chief axis week
Side constant temperature rises, and aggravates tool failure, it is therefore necessary to carry out continuing prison to machine tool chief axis peripheral temperature in process
It surveys, the relationship between temperature and tool failure is analyzed；Humidity is exactly to measure the physical quantity that moisture content is how many in atmosphere,
In workshop, if ambient humidity control is bad, it will strong influence is generated to product quality, so that workshop humidity
The effect of sensor is just particularly important.
Detailed description of the invention
Fig. 1 is the structural schematic diagram for the data collection system that a kind of cutting tool for CNC machine of the invention detects.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention is made into one with reference to the accompanying drawing
Step illustrates.
In the present embodiment, shown in Figure 1, the invention proposes a kind of data of cutting tool for CNC machine detection to acquire system
System, including the acquisition of current signal collector, vibration signal collector, temperature signal collection device, moisture signal collector, data are set
Standby, data processing module, background monitoring module, big data analysis module and data storage；Based on current signal collector,
Supplemented by vibration signal collector, temperature signal collection device and moisture signal collector, the real-time online of cutting tool for CNC machine is carried out
Data acquisition；
The current signal collector, the current signal that acquisition lathe spindle processing generates is after data acquisition equipment acquires
It is sent to data processing module；The vibration signal collector, the vibration signal that acquisition lathe spindle processing generates are adopted through data
Data processing module is sent to after collection equipment acquisition；The temperature signal collection device acquires machine tool chief axis peripheral temperature signal, temperature
Degree signal is sent to data processing module after data acquisition equipment acquires；The moisture signal collector acquires workshop
Moisture signal, moisture signal are sent to data processing module after data acquisition equipment acquires；
The data acquisition equipment, including multiple acquisition channels continuously and uninterruptedly acquire data, the acquisition with high frequency
The acquisition interface in channel is respectively connected to current signal collector, vibration signal collector, temperature signal collection device and humidity letter
Number collector, the data output end of the data acquisition equipment are connected to data processing module；
The big data analysis module loses current signal, vibration signal, temperature signal and moisture signal with cutter respectively
Relationship between effect and cutter life establishes detection model；
The data processing module is by calling detection model to calculate collection result in real time；Collection result is fed back into backstage
In monitoring module, by background monitoring module real-time monitoring and collection result is shown；Collection result is fed back into the big data point
It analyses in module, detection model is trained and is optimized；Collection result is fed back in data storage and is stored, for user's tune
It takes.
As the prioritization scheme of above-described embodiment, the current signal collector includes non-intrusion type current sensor, non-
Intrusive current sensor carries out data acquisition in such a way that electromagnetic signal is converted into current signal.
Non-intrusion type current sensor periphery is provided with shielding line, to reduce the electromagnetic interference of ambient enviroment.Have
Effect avoids data from acquiring to normal production bring influence and risk.
The non-intrusion type current sensor is Hall current sensor.
As the prioritization scheme of above-described embodiment, the vibration signal collector includes vertical vibrating velocity sensor, water
Flat vibrating speed sensors and axial plane vibrating speed sensors measure the vibration signal in three directions of machine tool chief axis, only
It can be realized the Omnibearing vibrating monitoring of machine tool by the setting of 3 sensors.
As the prioritization scheme of above-described embodiment, passing through deep learning prediction algorithm in shown big data analysis module will
History acquires data as training sample training detection model, current signal, vibration signal, the temperature signal of on-line real time monitoring
And moisture signal as test data set and inputs detection model.
As the prioritization scheme of above-described embodiment, the data storage is stored using multi-channel synchronous, with per minute one
The mode of a file stores specified store path, 20,000 points in every channel per second, and every channel per minute stores 1,200,000 data
Point.
It further include network interface card and interchanger as the prioritization scheme of above-described embodiment, the network interface card is connected to data processing mould
Block, the interchanger connect network interface card；Data interaction is realized by network interface card and interchanger and external server or PC machine.
The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes
Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its
Equivalent thereof.
Claims (8)
1. a kind of data collection system of cutting tool for CNC machine detection, which is characterized in that including current signal collector, vibration letter
Number collector, temperature signal collection device, moisture signal collector, data acquisition equipment, data processing module, background monitoring mould
Block, big data analysis module and data storage；Based on current signal collector, vibration signal collector, temperature signal are adopted
Supplemented by storage and moisture signal collector, the real-time online data acquisition of cutting tool for CNC machine is carried out；
The current signal collector, the current signal that acquisition lathe spindle processing generates transmit after data acquisition equipment acquires
To data processing module；The vibration signal collector, the vibration signal that acquisition lathe spindle processing generates are set through data acquisition
Data processing module is sent to after standby acquisition；The temperature signal collection device acquires machine tool chief axis peripheral temperature signal, temperature letter
Number data processing module is sent to after data acquisition equipment acquires；The moisture signal collector acquires workshop humidity
Signal, moisture signal are sent to data processing module after data acquisition equipment acquires；
The data acquisition equipment, including multiple acquisition channels continuously and uninterruptedly acquire data, the acquisition channel with high frequency
Acquisition interface be respectively connected to current signal collector, vibration signal collector, temperature signal collection device and moisture signal and adopt
The data output end of storage, the data acquisition equipment is connected to data processing module；
The big data analysis module to current signal, vibration signal, temperature signal and moisture signal respectively with tool failure and
Relationship between cutter life establishes detection model；
The data processing module is by calling detection model to calculate collection result in real time；Collection result is fed back into background monitoring
In module, by background monitoring module real-time monitoring and collection result is shown；Collection result is fed back into the big data analysis mould
In block, detection model is trained and is optimized；Collection result is fed back in data storage and is stored, is transferred for user.
2. a kind of data collection system of cutting tool for CNC machine detection according to claim 1, which is characterized in that the electricity
Stream signal picker includes non-intrusion type current sensor, and non-intrusion type current sensor, which is converted into electric current by electromagnetic signal, to be believed
Number mode carry out data acquisition.
3. a kind of data collection system of cutting tool for CNC machine detection according to claim 2, which is characterized in that described
Non-intrusion type current sensor periphery is provided with shielding line, to reduce the electromagnetic interference of ambient enviroment.
4. a kind of data collection system of cutting tool for CNC machine detection according to claim 3, which is characterized in that described non-
Intrusive current sensor is Hall current sensor.
5. a kind of data collection system of cutting tool for CNC machine detection according to claim 1, which is characterized in that the vibration
Dynamic signal picker includes vertical vibrating velocity sensor, horizontal vibration velocity sensor and axial plane vibrating speed sensors,
Measure the vibration signal in three directions of machine tool chief axis.
6. a kind of data collection system of cutting tool for CNC machine detection according to claim 1, which is characterized in that shown
History is acquired as training sample by data by deep learning prediction algorithm in big data analysis module and trains detection model,
Current signal, vibration signal, temperature signal and the moisture signal of line real-time monitoring as test data set and input detection model.
7. a kind of data collection system of cutting tool for CNC machine detection according to claim 1, which is characterized in that the number
It is stored according to memory using multi-channel synchronous, stores specified store path in a manner of a file per minute, it is per second often to lead to
20,000, road point, every channel per minute store 1,200,000 data points.
8. a kind of data collection system of cutting tool for CNC machine detection according to claim 1, which is characterized in that further include
Network interface card and interchanger, the network interface card are connected to data processing module, and the interchanger connects network interface card；By network interface card and interchanger with
External server or PC machine realize data interaction.
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| CN201811068407.2A CN109298680A (en) | 2018-09-13 | 2018-09-13 | A kind of data collection system of cutting tool for CNC machine detection |
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| CN201811068407.2A CN109298680A (en) | 2018-09-13 | 2018-09-13 | A kind of data collection system of cutting tool for CNC machine detection |
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Cited By (9)
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| CN109781244A (en) * | 2019-02-25 | 2019-05-21 | 吉林大学 | A kind of cutting tool for CNC machine vibration signal detection system and detection method |
| CN110263474A (en) * | 2019-06-27 | 2019-09-20 | 重庆理工大学 | A kind of cutter life real-time predicting method of numerically-controlled machine tool |
| CN110347114A (en) * | 2019-07-23 | 2019-10-18 | 清华大学 | A kind of Cnc ReliabilityintelligeNetwork Network data acquisition and analysis system |
| CN110456733A (en) * | 2019-09-18 | 2019-11-15 | 吉林大学 | A kind of detection of portable numerical control equipment comprehensive performance, analysis platform and analysis method |
| CN110687871A (en) * | 2019-10-17 | 2020-01-14 | 深圳市鹏云汇科技有限公司 | Efficient intelligent cutter WMS system |
| CN111324073A (en) * | 2020-03-05 | 2020-06-23 | 南京粒聚智能科技有限公司 | Machine tool detection and analysis method and analysis platform thereof |
| CN111890124A (en) * | 2019-05-05 | 2020-11-06 | 深圳市玄羽科技有限公司 | On-line cutter monitoring system and method |
| CN112255964A (en) * | 2020-10-12 | 2021-01-22 | 湖南汽车工程职业学院 | Machine tool machining cutter remote temperature control system based on big data |
| CN114988679A (en) * | 2022-08-08 | 2022-09-02 | 启东市云鹏玻璃机械有限公司 | Intelligent feed control method for glass cutting machine |
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| CN109781244A (en) * | 2019-02-25 | 2019-05-21 | 吉林大学 | A kind of cutting tool for CNC machine vibration signal detection system and detection method |
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| CN111890124A (en) * | 2019-05-05 | 2020-11-06 | 深圳市玄羽科技有限公司 | On-line cutter monitoring system and method |
| CN110263474A (en) * | 2019-06-27 | 2019-09-20 | 重庆理工大学 | A kind of cutter life real-time predicting method of numerically-controlled machine tool |
| CN110347114A (en) * | 2019-07-23 | 2019-10-18 | 清华大学 | A kind of Cnc ReliabilityintelligeNetwork Network data acquisition and analysis system |
| CN110456733A (en) * | 2019-09-18 | 2019-11-15 | 吉林大学 | A kind of detection of portable numerical control equipment comprehensive performance, analysis platform and analysis method |
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| CN110687871A (en) * | 2019-10-17 | 2020-01-14 | 深圳市鹏云汇科技有限公司 | Efficient intelligent cutter WMS system |
| CN111324073A (en) * | 2020-03-05 | 2020-06-23 | 南京粒聚智能科技有限公司 | Machine tool detection and analysis method and analysis platform thereof |
| CN112255964A (en) * | 2020-10-12 | 2021-01-22 | 湖南汽车工程职业学院 | Machine tool machining cutter remote temperature control system based on big data |
| CN114988679A (en) * | 2022-08-08 | 2022-09-02 | 启东市云鹏玻璃机械有限公司 | Intelligent feed control method for glass cutting machine |
| CN114988679B (en) * | 2022-08-08 | 2022-10-25 | 启东市云鹏玻璃机械有限公司 | Intelligent feed control method for glass cutting machine |
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Application publication date: 20190201 |