CN110134069A - Numerically-controlled machine tool self-diagnosing method and system - Google Patents
Numerically-controlled machine tool self-diagnosing method and system Download PDFInfo
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- CN110134069A CN110134069A CN201910381330.2A CN201910381330A CN110134069A CN 110134069 A CN110134069 A CN 110134069A CN 201910381330 A CN201910381330 A CN 201910381330A CN 110134069 A CN110134069 A CN 110134069A
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- 238000000034 method Methods 0.000 title claims abstract description 135
- 238000012545 processing Methods 0.000 claims abstract description 134
- 238000001514 detection method Methods 0.000 claims abstract description 44
- 230000008569 process Effects 0.000 claims abstract description 39
- 238000012360 testing method Methods 0.000 claims abstract description 31
- 238000012956 testing procedure Methods 0.000 claims abstract description 6
- 230000006870 function Effects 0.000 claims description 9
- 238000000354 decomposition reaction Methods 0.000 claims description 7
- 238000004088 simulation Methods 0.000 description 5
- 238000003754 machining Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000002708 enhancing effect Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000002405 diagnostic procedure Methods 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
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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
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention discloses a kind of numerically-controlled machine tool self-diagnosing method and systems, it is related to machine tooling, when being included in error beyond standard, first runs software self-test, including carrying out system emulation operation with identical process and parameter, whether test overall error is complied with standard, and processing flow is decomposed, by each step of system emulation, whether testing procedure error is complied with standard；After software self-test passes through, carry out actual processing detection, including carrying out actual processing with identical process and parameter, the error after the completion of each procedure of processing is detected in process, and respectively compared with the standard error of each step, and former and later two procedure of processings are decomposited, it is processed respectively, detects overall error compared with the standard error of the process.First software is detected, determines the specific steps that error occurs.Actual processing detection is just carried out after software self-test, improves detection efficiency.Entire scheme more can intuitively determine the specific steps that error generates, convenient to overhaul.
Description
Technical field
The present invention relates to lathe process, more specifically, it relates to a kind of numerically-controlled machine tool self-diagnosing method and system.
Background technique
Numerically-controlled machine tool is the abbreviation of numerically-controlled machine tool, is a kind of automated machine tool equipped with program control system.The control
System processed, which can be handled logically, has control coding or other symbolic instruction regulated procedures, and is decoded, with code
Digital representation, numerical control device is inputted by information carrier.Various control signals are issued by numerical control device through calculation process, are controlled
The movement of lathe, shape and size by drawing, automatically processes part.
Currently, application No. is 201410605568.6 Chinese patents to disclose a kind of numerically-controlled machine tool product machining state
Self-diagnosing method, it is comprising steps of one, product processing scheme inputs；Two, product processing and machining state diagnosis: defeated according to institute
Enter processing scheme, multiple products are processed to rear by elder generation, process is as follows: 201, product processing starting；202, product is processed
And actual processing state-detection；203, product completes the process judgement；204, product actual processing state obtains；205, product is practical
Machining state diagnosis: the actual processing status information of obtained current institute's converted products carries out pair with inputted processing scheme
Than judging between actual processing status information and the processing scheme with the presence or absence of in place of difference.
Although this diagnostic method can determine converted products whether symbol processing request, can not show that product is asked
The concrete reason of topic, could be improved.
Summary of the invention
In view of the deficiencies of the prior art, the present invention intends to provide a kind of numerically-controlled machine tool self-diagnosing method and be
System, the specific link for facilitating determining processing problems to occur.
To achieve the above object, the present invention provides the following technical scheme that
A kind of numerically-controlled machine tool self-diagnosing method, including
When error exceeds standard, first runs software self-test, including system emulation operation is carried out with identical process and parameter, it surveys
Whether examination overall error complies with standard, and processing flow is decomposed, and by each step of system emulation, whether testing procedure error
It complies with standard；
After software self-test passes through, actual processing detection is carried out, including actual processing is carried out with identical process and parameter, added
The error after the completion of each procedure of processing is detected during work, and respectively compared with the standard error of each step, and decompose
Former and later two procedure of processings out, are processed respectively, detect overall error compared with the standard error of the process.
By adopting the above technical scheme, when there is error, first software is detected, specifically, on the one hand carrying out overall
Whether the simulation run of process, test overall error comply with standard, and whether the error on the other hand testing each step respectively meets
Standard, so that it is determined that the specific steps that error occurs.Actual processing detection is just carried out after software self-test, improves detection effect
Rate.Actual processing detection includes re-working detection and decomposing processing detection, and re-working detection includes practical each processing step
Detection after rapid precisely determines source of error, and by decomposing processing detection, distinguishes former and later two procedure of processings to detect
It influences, to determine source of error, entire scheme more can intuitively determine the specific steps that error generates, convenient to overhaul.
It further, further include recording each process of self-test and corresponding error-detecting size.
By adopting the above technical scheme, each process of self-test and corresponding error-detecting size are recorded, is facilitated subsequent
Error analysis.
Further, further include the error-detecting size added up based on each procedure of processing, calculate being averaged for the procedure of processing
Error, if mean error is greater than standard error, judges that the processing walks by the mean error of the procedure of processing compared with standard error
Rapid failure.
By adopting the above technical scheme, average mode is calculated by constantly accumulative detection, evades accidental error, enhancing detection
Accuracy.
Further, further include the mismachining tolerance of former and later two procedure of processings based on decomposition, calculate two procedure of processing mistakes
Mean error afterwards, by the mean error of the procedure of processing compared with standard error, if mean error is greater than standard error, judgement
Two procedure of processing errors are excessive.
By adopting the above technical scheme, the mismachining tolerance of former and later two procedure of processings is calculated, it is determined whether due to previous step
Error cause the error of second step excessive, thus more accurate lookup error producing cause.
Second aspect provides a kind of numerically-controlled machine tool self-diagnosable system, including processor and memory, the memory storage
There is instruction set to call for locating processor to implement function such as:
When error exceeds standard, first runs software self-test, including system emulation operation is carried out with identical process and parameter, it surveys
Whether examination overall error complies with standard, and processing flow is decomposed, and by each step of system emulation, whether testing procedure error
It complies with standard；
After software self-test passes through, actual processing detection is carried out, including actual processing is carried out with identical process and parameter, added
The error after the completion of each procedure of processing is detected during work, and respectively compared with the standard error of each step, and decompose
Former and later two procedure of processings out, are processed respectively, detect overall error compared with the standard error of the process.
By adopting the above technical scheme, when there is error, first software is detected, specifically, on the one hand carrying out overall
Whether the simulation run of process, test overall error comply with standard, and whether the error on the other hand testing each step respectively meets
Standard, so that it is determined that the specific steps that error occurs.Actual processing detection is just carried out after software self-test, improves detection effect
Rate.Actual processing detection includes re-working detection and decomposing processing detection, and re-working detection includes practical each processing step
Detection after rapid precisely determines source of error, and by decomposing processing detection, distinguishes former and later two procedure of processings to detect
It influences, to determine source of error, entire scheme more can intuitively determine the specific steps that error generates, convenient to overhaul.
Further, the processor, which also passes through, calls described instruction collection to implement function such as:
Based on the error-detecting size that each procedure of processing adds up, the mean error of the procedure of processing is calculated, by the procedure of processing
Mean error compared with standard error, if mean error be greater than standard error, judge the procedure of processing failure.
By adopting the above technical scheme, each process of self-test and corresponding error-detecting size are recorded, is facilitated subsequent
Error analysis.
Further, the processor, which also passes through, calls described instruction collection to implement function such as:
Based on the error-detecting size that each procedure of processing adds up, the mean error of the procedure of processing is calculated, by the procedure of processing
Mean error compared with standard error, if mean error be greater than standard error, judge the procedure of processing failure.
By adopting the above technical scheme, average mode is calculated by constantly accumulative detection, evades accidental error, enhancing detection
Accuracy.
Further, the processor, which also passes through, calls described instruction collection to implement function such as:
The mismachining tolerance of former and later two procedure of processings based on decomposition calculates the mean error after two procedure of processings, by this
The mean error of procedure of processing is compared with standard error, if mean error is greater than standard error, judges that two procedure of processings are missed
Difference is excessive.
By adopting the above technical scheme, the mismachining tolerance of former and later two procedure of processings is calculated, it is determined whether due to previous step
Error cause the error of second step excessive, thus more accurate lookup error producing cause.
In conclusion the invention has the following advantages:
1. first detecting to software when there is error, the simulation run of overall process is on the one hand carried out, tests overall error
Whether comply with standard, whether the error on the other hand testing each step respectively complies with standard, so that it is determined that the tool that error occurs
Body step；
2. just carrying out actual processing detection after software self-test, detection efficiency is improved, actual processing detection includes adding again
Work detection and decomposition processing detection, re-working detection includes the detection after each procedure of processing of reality, precisely determines that error is former
Cause, and by decomposing processing detection, to detect the influence for distinguishing former and later two procedure of processings, to determine source of error, entirely
Scheme more can intuitively determine the specific steps that error generates, convenient to overhaul；
3. calculating average mode by constantly accumulative detection, evades accidental error, enhance the accuracy of detection.
Detailed description of the invention
Fig. 1 is the flow diagram of numerically-controlled machine tool self-diagnosing method in the present invention；
Fig. 2 is the functional block diagram of numerically-controlled machine tool self-diagnosable system in the present invention.
In figure: 1, processor；2, memory.
Specific embodiment
With reference to the accompanying drawings and embodiments, the present invention will be described in detail.
This specific embodiment is only explanation of the invention, is not limitation of the present invention, those skilled in the art
Member can according to need the modification that not creative contribution is made to the present embodiment after reading this specification, but as long as at this
All by the protection of Patent Law in the scope of the claims of invention.
Embodiment 1
A kind of numerically-controlled machine tool self-diagnosing method, referring to Fig.1, including step S101 to step S102.
Step S101: when error exceeds standard, first runs software self-test, including be with identical process and parameter
System simulation run, whether test overall error complies with standard, and processing flow is decomposed, and passes through each step of system emulation, surveys
Whether the rapid error of try complies with standard.
Error in step S101 exceeds standard, refers to error of the work pieces process after the completion compared with standard size, right
The specific detection of workpiece is referring to application No. is 201410605568.6 patents of invention.Software self-test refers to the control of lathe
Device operation emulation inspection software processed, the procedure simulation processing of idle running identical parameters, identical process.Finally compare overall error with
Whether the error of standard overall error and each step complies with standard, if not being inconsistent standardization, output error exceed standard the step of
Discrepancy Report.If all complying with standard into next step.
Step S102: actual processing detection is carried out, including actual processing is carried out with identical process and parameter, in process
Error after the completion of the middle each procedure of processing of detection, and respectively compared with the standard error of each step, and decomposite front and back
Two procedure of processings, are processed respectively, detect overall error compared with the standard error of the process.
In step s 102, actual processing detection includes re-working workpiece according to the identical processing method of workpiece, herein
In addition the procedure of processing of workpiece is decomposed into the combination of former and later two procedure of processings by the specific error for detecting processing in the process, first
After complete former and later two steps and calculate error respectively, to judge influence of the preceding first-order error to rear first-order error.Above-mentioned mistake
Difference is not compared with the standard error of the step and feedback result, carries out analyzing last output result.
In addition, numerically-controlled machine tool self-diagnosing method further includes recording each process of self-test and corresponding error-detecting is big
It is small.
Based on the error-detecting size that each procedure of processing adds up, the mean error of the procedure of processing is calculated, by the processing
The mean error of step, if mean error is greater than standard error, judges the procedure of processing failure compared with standard error.By not
Disconnected accumulative detection calculates average mode, evades accidental error, enhances the accuracy of detection.
Numerically-controlled machine tool self-diagnosing method further includes the mismachining tolerance of former and later two procedure of processings based on decomposition, calculates two
Mean error after procedure of processing, by the mean error of the procedure of processing compared with standard error, if mean error is greater than mark
Quasi- error judges that two procedure of processing errors are excessive.Calculate the mismachining tolerance of former and later two procedure of processings, it is determined whether due to
The error of previous step causes the error of second step excessive, thus more accurate lookup error producing cause.
Embodiment 2
A kind of numerically-controlled machine tool self-diagnosable system, referring to Fig. 2, including processor 1 and memory 2, memory 2 is stored with instruction set confession
Locating processor 1 is called to implement function such as:
When error exceeds standard, first runs software self-test, including system emulation operation is carried out with identical process and parameter, it surveys
Whether examination overall error complies with standard, and processing flow is decomposed, and by each step of system emulation, whether testing procedure error
It complies with standard；
After software self-test passes through, actual processing detection is carried out, including actual processing is carried out with identical process and parameter, added
The error after the completion of each procedure of processing is detected during work, and respectively compared with the standard error of each step, and decompose
Former and later two procedure of processings out, are processed respectively, detect overall error compared with the standard error of the process.
Based on the error-detecting size that each procedure of processing adds up, the mean error of the procedure of processing is calculated, by the processing
The mean error of step, if mean error is greater than standard error, judges the procedure of processing failure compared with standard error.
Based on the error-detecting size that each procedure of processing adds up, the mean error of the procedure of processing is calculated, by the processing
The mean error of step, if mean error is greater than standard error, judges the procedure of processing failure compared with standard error.
The mismachining tolerance of former and later two procedure of processings based on decomposition calculates the mean error after two procedure of processings,
By the mean error of the procedure of processing compared with standard error, if mean error is greater than standard error, this two processing steps are judged
Rapid error is excessive.
The above is only a preferred embodiment of the present invention, protection scope of the present invention is not limited merely to above-mentioned implementation
Example, all technical solutions belonged under thinking of the present invention all belong to the scope of protection of the present invention.It should be pointed out that for the art
Those of ordinary skill for, several improvements and modifications without departing from the principles of the present invention, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (8)
1. a kind of numerically-controlled machine tool self-diagnosing method, it is characterised in that: including
When error exceeds standard, first runs software self-test, including system emulation operation is carried out with identical process and parameter, it surveys
Whether examination overall error complies with standard, and processing flow is decomposed, and by each step of system emulation, whether testing procedure error
It complies with standard；
After software self-test passes through, actual processing detection is carried out, including actual processing is carried out with identical process and parameter, added
The error after the completion of each procedure of processing is detected during work, and respectively compared with the standard error of each step, and decompose
Former and later two procedure of processings out, are processed respectively, detect overall error compared with the standard error of the process.
2. numerically-controlled machine tool self-diagnosing method according to claim 1, it is characterised in that: further include recording each process of self-test
And corresponding error-detecting size.
3. numerically-controlled machine tool self-diagnosing method according to claim 2, it is characterised in that: further include based on each procedure of processing
Accumulative error-detecting size, calculates the mean error of the procedure of processing, by the mean error and standard error of the procedure of processing
Compare, if mean error is greater than standard error, judges the procedure of processing failure.
4. numerically-controlled machine tool self-diagnosing method according to claim 2, it is characterised in that: further include the front and back two based on decomposition
The mismachining tolerance of a procedure of processing calculates the mean error after two procedure of processings, by the mean error of the procedure of processing with
Standard error compares, if mean error is greater than standard error, judges that two procedure of processing errors are excessive.
5. a kind of numerically-controlled machine tool self-diagnosable system, it is characterised in that: including processor (1) and memory (2), the memory
(2) instruction set is stored with to call for locating processor (1) to implement function such as:
When error exceeds standard, first runs software self-test, including system emulation operation is carried out with identical process and parameter, it surveys
Whether examination overall error complies with standard, and processing flow is decomposed, and by each step of system emulation, whether testing procedure error
It complies with standard；
After software self-test passes through, actual processing detection is carried out, including actual processing is carried out with identical process and parameter, added
The error after the completion of each procedure of processing is detected during work, and respectively compared with the standard error of each step, and decompose
Former and later two procedure of processings out, are processed respectively, detect overall error compared with the standard error of the process.
6. numerically-controlled machine tool self-diagnosable system according to claim 5, it is characterised in that: the processor (1) also passes through tune
It is implemented function such as with described instruction collection:
Based on the error-detecting size that each procedure of processing adds up, the mean error of the procedure of processing is calculated, by the procedure of processing
Mean error compared with standard error, if mean error be greater than standard error, judge the procedure of processing failure.
7. numerically-controlled machine tool self-diagnosable system according to claim 6, it is characterised in that: the processor (1) also passes through tune
It is implemented function such as with described instruction collection:
Based on the error-detecting size that each procedure of processing adds up, the mean error of the procedure of processing is calculated, by the procedure of processing
Mean error compared with standard error, if mean error be greater than standard error, judge the procedure of processing failure.
8. numerically-controlled machine tool self-diagnosable system according to claim 6, it is characterised in that: the processor (1) also passes through tune
It is implemented function such as with described instruction collection:
The mismachining tolerance of former and later two procedure of processings based on decomposition calculates the mean error after two procedure of processings, by this
The mean error of procedure of processing is compared with standard error, if mean error is greater than standard error, judges that two procedure of processings are missed
Difference is excessive.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113009894A (en) * | 2021-03-04 | 2021-06-22 | 联想(北京)有限公司 | Manufacturing method and production system of matching part |
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| CN102221825A (en) * | 2010-12-29 | 2011-10-19 | 东莞市冠辉五金有限公司 | Numerical control processing method and control system for die manufacture |
| CN104166373A (en) * | 2014-08-06 | 2014-11-26 | 上海理工大学 | Online detecting method and system for numerical control machine tool machining error |
| CN104615082A (en) * | 2014-12-19 | 2015-05-13 | 北京理工大学 | Rail coupling error real-time compensation device and method in cutting process |
| CN105629879A (en) * | 2014-10-31 | 2016-06-01 | 西安扩力机电科技有限公司 | Self-diagnosis method for product machining state for numerical control machine tool |
| CN105974886A (en) * | 2016-06-28 | 2016-09-28 | 华中科技大学 | Health monitoring method for numerical control machine tool |
-
2019
- 2019-05-08 CN CN201910381330.2A patent/CN110134069B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102221825A (en) * | 2010-12-29 | 2011-10-19 | 东莞市冠辉五金有限公司 | Numerical control processing method and control system for die manufacture |
| CN104166373A (en) * | 2014-08-06 | 2014-11-26 | 上海理工大学 | Online detecting method and system for numerical control machine tool machining error |
| CN105629879A (en) * | 2014-10-31 | 2016-06-01 | 西安扩力机电科技有限公司 | Self-diagnosis method for product machining state for numerical control machine tool |
| CN104615082A (en) * | 2014-12-19 | 2015-05-13 | 北京理工大学 | Rail coupling error real-time compensation device and method in cutting process |
| CN105974886A (en) * | 2016-06-28 | 2016-09-28 | 华中科技大学 | Health monitoring method for numerical control machine tool |
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| CN113009894A (en) * | 2021-03-04 | 2021-06-22 | 联想(北京)有限公司 | Manufacturing method and production system of matching part |
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Denomination of invention: Self diagnostic methods and systems for CNC machine tools Granted publication date: 20220531 Pledgee: Zhejiang Tailong Commercial Bank Co.,Ltd. Suzhou Xiangcheng Branch Pledgor: Suzhou Jinlibao Electronic Technology Co.,Ltd. Registration number: Y2024980025300 |