CN110134069B - Self-diagnosis method and system of numerical control machine tool - Google Patents
Self-diagnosis method and system of numerical control machine tool Download PDFInfo
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- CN110134069B CN110134069B CN201910381330.2A CN201910381330A CN110134069B CN 110134069 B CN110134069 B CN 110134069B CN 201910381330 A CN201910381330 A CN 201910381330A CN 110134069 B CN110134069 B CN 110134069B
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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
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- 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]
Abstract
The invention discloses a self-diagnosis method and a system of a numerical control machine tool, which relate to machine tool machining and comprise the steps of firstly running software for self-detection when errors exceed a standard, carrying out system simulation running by using the same flow and parameters, testing whether total errors meet the standard or not, decomposing a machining flow, and testing whether errors in steps meet the standard or not through each step of system simulation; after the software self-detection is passed, carrying out actual processing detection, including carrying out actual processing with the same flow and parameters, detecting the error after each processing step is finished in the processing process, respectively comparing with the standard error of each step, decomposing the two processing steps before and after processing, respectively carrying out processing, and comparing the detected total error with the standard error of the processing process. Firstly, detecting software and determining the specific steps of error occurrence. And the actual processing detection is carried out after the software self-checking, so that the detection efficiency is improved. The whole scheme can determine the specific steps generated by the errors visually, and is convenient to overhaul.
Description
Technical Field
The invention relates to lathe machining, in particular to a self-diagnosis method and a self-diagnosis system of a numerical control machine tool.
Background
The numerical control machine tool is a digital control machine tool for short, and is an automatic machine tool provided with a program control system. The control system is capable of logically processing and decoding a program defined by a control code or other symbolic instructions, represented by coded numbers, which are input to the numerical control device via the information carrier. After operation, the numerical control device sends out various control signals to control the action of the machine tool, and the parts are automatically machined according to the shape and size required by the drawing.
At present, chinese patent application No. 201410605568.6 discloses a product processing state self-diagnosis method for a numerical control machine, which includes the steps of: firstly, inputting a product processing scheme; secondly, product processing and processing state diagnosis: according to the input processing scheme, a plurality of products are processed from first to last, and the process is as follows: 201. starting product processing; 202. detecting the product processing and actual processing states; 203. judging whether the product is processed; 204. acquiring an actual processing state of a product; 205. and (3) diagnosing the actual processing state of the product: and comparing the obtained actual processing state information of the currently processed product with the input processing scheme, and judging whether the difference exists between the actual processing state information and the processing scheme.
Although this diagnostic method can determine whether the processed product is signed with the processing requirement, it cannot find out the specific cause of the product problem, and thus needs to be improved.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a self-diagnosis method and a self-diagnosis system of a numerical control machine tool, which are convenient for determining the specific links of the occurrence of the machining problems.
In order to achieve the purpose, the invention provides the following technical scheme:
a self-diagnosis method for a numerical control machine tool comprises
When the error exceeds the standard, firstly operating software self-detection, including performing system simulation operation by using the same process and parameters, testing whether the total error meets the standard, decomposing the processing flow, and testing whether the error of the step meets the standard through each step of system simulation;
after the software self-detection is passed, carrying out actual processing detection, including carrying out actual processing with the same flow and parameters, detecting the error after each processing step is finished in the processing process, respectively comparing with the standard error of each step, decomposing the two processing steps before and after processing, respectively carrying out processing, and comparing the detected total error with the standard error of the processing process.
By adopting the technical scheme, when errors occur, the software is firstly detected, specifically, on one hand, the simulation operation of the overall process is carried out, whether the total errors meet the standard is tested, on the other hand, whether the errors of each step meet the standard is respectively tested, and thus the specific steps of the errors are determined. And the actual processing detection is carried out after the software self-checking, so that the detection efficiency is improved. Actual processing detects including reprocessing and detects and decompose the processing and detect, and reprocessing detects including the detection after every actual processing step, and accurate definite error reason to detect through decomposing the processing and detecting, detect the influence of two processing steps around differentiateing, with definite error reason, whole scheme can be comparatively audio-visual definite error concrete step that produces, convenient the maintenance.
Further, recording each self-checking process and the error detection size corresponding to the self-checking process.
By adopting the technical scheme, each self-checking process and the error detection size corresponding to the self-checking process are recorded, and subsequent error analysis is facilitated.
Further, the method also comprises the steps of calculating the average error of each processing step based on the accumulated error detection size of each processing step, comparing the average error of the processing step with the standard error, and judging the fault of the processing step if the average error is greater than the standard error.
By adopting the technical scheme, accidental errors are avoided and the detection accuracy is enhanced by continuously accumulating the detection and calculating the average.
And further, calculating the average error of the two processing steps based on the processing errors of the two processing steps before and after decomposition, comparing the average error of the processing step with the standard error, and judging that the errors of the two processing steps are overlarge if the average error is larger than the standard error.
By adopting the technical scheme, the processing errors of the two processing steps before and after are calculated, and whether the error of the second step is overlarge caused by the error of the previous step is determined, so that the error generation reason is more accurately searched.
In a second aspect, a self-diagnosis system of a numerical control machine tool is provided, which includes a processor and a memory, where the memory stores an instruction set for the processor to call to implement the following functions:
when the error exceeds the standard, firstly operating software self-detection, including performing system simulation operation by using the same process and parameters, testing whether the total error meets the standard, decomposing the processing flow, and testing whether the error of the step meets the standard through each step of system simulation;
after the software self-detection is passed, carrying out actual processing detection, including carrying out actual processing with the same flow and parameters, detecting the error after each processing step is finished in the processing process, respectively comparing with the standard error of each step, decomposing the two processing steps before and after processing, respectively carrying out processing, and comparing the detected total error with the standard error of the processing process.
By adopting the technical scheme, when errors occur, the software is firstly detected, specifically, on one hand, the simulation operation of the overall process is carried out, whether the total errors meet the standard is tested, on the other hand, whether the errors of each step meet the standard is respectively tested, and thus the specific steps of the errors are determined. And the actual processing detection is carried out after the software self-checking, so that the detection efficiency is improved. Actual processing detects including reprocessing and detects and decompose the processing and detect, and reprocessing detects including the detection after every actual processing step, and accurate definite error reason to detect through decomposing the processing and detecting, detect the influence of two processing steps around differentiateing, with definite error reason, whole scheme can be comparatively audio-visual definite error concrete step that produces, convenient the maintenance.
Further, the processor also implements the following functions by calling the instruction set:
and calculating the average error of each processing step based on the accumulated error detection size of each processing step, comparing the average error of the processing step with the standard error, and judging the fault of the processing step if the average error is greater than the standard error.
By adopting the technical scheme, each self-checking process and the error detection size corresponding to the self-checking process are recorded, and subsequent error analysis is facilitated.
Further, the processor also implements the following functions by calling the instruction set:
and calculating the average error of each processing step based on the accumulated error detection size of each processing step, comparing the average error of the processing step with the standard error, and judging the fault of the processing step if the average error is greater than the standard error.
By adopting the technical scheme, accidental errors are avoided and the detection accuracy is enhanced by continuously accumulating the detection and calculating the average.
Further, the processor also implements the following functions by calling the instruction set:
and calculating the average error of the two processing steps based on the processing errors of the two processing steps before and after decomposition, comparing the average error of the processing step with the standard error, and judging that the errors of the two processing steps are overlarge if the average error is larger than the standard error.
By adopting the technical scheme, the processing errors of the two processing steps before and after are calculated, and whether the error of the second step is overlarge due to the error of the previous step is determined, so that the error generation reason is more accurately searched.
In conclusion, the invention has the following beneficial effects:
1. when errors occur, firstly, software is detected, on one hand, simulation operation of the overall process is carried out, whether the overall errors meet the standard is tested, on the other hand, whether the errors of each step meet the standard is respectively tested, and therefore the specific steps of the errors are determined;
2. the actual processing detection is carried out after the software self-checking, so that the detection efficiency is improved, the actual processing detection comprises the re-processing detection and the decomposition processing detection, the re-processing detection comprises the detection after each actual processing step, the error reason is accurately determined, and the influence of the front processing step and the rear processing step is detected and distinguished through the decomposition processing detection so as to determine the error reason, so that the specific steps of error generation can be determined more intuitively in the whole scheme, and the maintenance is convenient;
3. by means of continuously accumulating detection and calculating average, accidental errors are avoided, and detection accuracy is enhanced.
Drawings
FIG. 1 is a flow chart illustrating a self-diagnosis method of a numerical control machine tool according to the present invention;
fig. 2 is a schematic block diagram of a self-diagnosis system of a numerical control machine tool according to the present invention.
In the figure: 1. a processor; 2. a memory.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and examples.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
Example 1
A self-diagnosis method of a numerical control machine tool, referring to FIG. 1, comprises steps S101 to S102.
Step S101: when the error exceeds the standard, firstly, the software self-detection is operated, the system simulation operation is carried out by using the same process and parameters, whether the total error meets the standard or not is tested, the processing flow is decomposed, and whether the error of the step meets the standard or not is tested through each step of the system simulation.
The error in step S101 exceeds the standard, which refers to the error of the workpiece compared with the standard size after the workpiece is machined, and the specific detection of the workpiece refers to the invention patent with application number 201410605568.6. The software self-detection means that a controller of the lathe runs simulation detection software, and no-load runs program simulation machining with the same parameters and the same flow. And finally, comparing the total error with the standard total error, and judging whether the error of each step meets the standard, if not, outputting an error report of the step with the error exceeding the standard. And entering the next step if all the standards are met.
Step S102: and carrying out actual processing detection, wherein the actual processing is carried out according to the same flow and parameters, the error after each processing step is finished is detected in the processing process and is respectively compared with the standard error of each step, the two processing steps before and after the processing step are decomposed and are respectively processed, and the detected total error is compared with the standard error of the processing process.
In step S102, the actual machining detection includes re-machining the workpiece according to the same machining mode as the workpiece, detecting a specific error of the machining in the process, and decomposing the machining step of the workpiece into a combination of two machining steps, namely, a front machining step and a rear machining step, successively completing the two machining steps, and respectively measuring and calculating the error to determine an influence of the previous error on the subsequent error. And comparing the errors with the standard errors of the step, feeding back results, analyzing and finally outputting the results.
In addition, the self-diagnosis method of the numerical control machine tool further comprises the step of recording each self-detection process and the error detection size corresponding to the self-detection process.
And calculating the average error of each processing step based on the accumulated error detection size of each processing step, comparing the average error of the processing step with the standard error, and judging the fault of the processing step if the average error is greater than the standard error. By means of continuously accumulating detection and calculating average, accidental errors are avoided, and detection accuracy is enhanced.
The self-diagnosis method of the numerical control machine further comprises the steps of calculating the average error of the two processing steps based on the processing errors of the two processing steps before and after the decomposition, comparing the average error of the processing steps with the standard error, and judging that the errors of the two processing steps are overlarge if the average error is larger than the standard error. And calculating the processing errors of the two previous and next processing steps, and determining whether the error of the second step is too large due to the error of the previous step, so as to more accurately search the error generation reason.
Example 2
A self-diagnosis system of a numerical control machine tool, referring to fig. 2, comprises a processor 1 and a memory 2, wherein the memory 2 stores an instruction set for the processor 1 to call so as to realize the following functions:
when the error exceeds the standard, firstly operating software self-detection, including performing system simulation operation by using the same process and parameters, testing whether the total error meets the standard, decomposing the processing flow, and testing whether the error of the step meets the standard through each step of system simulation;
after the software self-detection is passed, carrying out actual processing detection, including carrying out actual processing with the same flow and parameters, detecting the error after each processing step is finished in the processing process, respectively comparing with the standard error of each step, decomposing the two processing steps before and after processing, respectively carrying out processing, and comparing the detected total error with the standard error of the processing process.
And calculating the average error of each processing step based on the accumulated error detection size of each processing step, comparing the average error of the processing step with the standard error, and judging the fault of the processing step if the average error is greater than the standard error.
And calculating the average error of each processing step based on the accumulated error detection size of each processing step, comparing the average error of the processing step with the standard error, and judging the fault of the processing step if the average error is greater than the standard error.
And calculating the average error of the two processing steps based on the processing errors of the two processing steps before and after decomposition, comparing the average error of the processing step with the standard error, and judging that the errors of the two processing steps are overlarge if the average error is larger than the standard error.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (4)
1. A self-diagnosis method of a numerical control machine tool is characterized by comprising the following steps: comprises that
When the error exceeds the standard, firstly operating software self-detection, including performing system simulation operation by using the same process and parameters, testing whether the total error meets the standard, decomposing the processing flow, and testing whether the error of the step meets the standard through each step of system simulation;
after the software self-detection is passed, carrying out actual processing detection, including actual processing with the same flow and parameters, detecting the error after each processing step is finished in the processing process, respectively comparing with the standard error of each step, decomposing the two processing steps before and after processing, respectively processing, and comparing the detected total error with the standard error of the processing process;
the error exceeding the standard refers to the error of the machined workpiece compared with the standard size;
the method further comprises the following steps:
calculating the average error of each processing step based on the accumulated error detection size of each processing step, comparing the average error of the processing step with a standard error, and judging the fault of the processing step if the average error is greater than the standard error;
calculating the average error of the two processing steps after the decomposition based on the processing errors of the two processing steps before and after the decomposition, comparing the average error of the processing step with the standard error, if the average error is larger than the standard error, judging that the errors of the two processing steps are overlarge, and determining whether the error of the second step is overlarge due to the error of the previous step.
2. The numerical control machine tool self-diagnosis method according to claim 1, characterized in that: and recording each self-detection process and the error detection size corresponding to the self-detection process.
3. The utility model provides a digit control machine tool self diagnosis system which characterized in that: the system comprises a processor (1) and a memory (2), wherein the memory (2) stores an instruction set for the processor (1) to call so as to realize the following functions:
when the error exceeds the standard, firstly, running software self-detection, including carrying out system simulation operation by using the same process and parameters, testing whether the total error meets the standard, decomposing the processing flow, and testing whether the error of the step meets the standard through each step of system simulation;
after the software self-detection is passed, carrying out actual processing detection, including actual processing with the same flow and parameters, detecting the error after each processing step is finished in the processing process, respectively comparing with the standard error of each step, decomposing the two processing steps before and after processing, respectively processing, and comparing the detected total error with the standard error of the processing process;
the error exceeding the standard refers to the error of the workpiece compared with the standard size after the workpiece is machined;
the processor (1) also implements the following functions by calling the instruction set:
calculating the average error of each processing step based on the accumulated error detection size of each processing step, comparing the average error of the processing step with a standard error, and judging the fault of the processing step if the average error is greater than the standard error;
calculating the average error of the two processing steps after the decomposition based on the processing errors of the two processing steps before and after the decomposition, comparing the average error of the processing step with the standard error, if the average error is larger than the standard error, judging that the errors of the two processing steps are overlarge, and determining whether the error of the second step is overlarge due to the error of the previous step.
4. The numerical control machine tool self-diagnosis system according to claim 3, characterized in that: the processor (1) also implements the following functions by calling the instruction set:
and recording each self-checking process and the error detection size corresponding to the self-checking process.
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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 |
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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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Effective date of registration: 20230105 Address after: No. 9 Jujin Road, Taiping Street Industrial Park, Xiangcheng District, Suzhou City, Jiangsu Province, 215000 Patentee after: Suzhou Jinlibao Electronic Technology Co.,Ltd. Address before: 224700 zhudun Road, private science and technology entrepreneurship Park, Jianhu County, Yancheng City, Jiangsu Province Patentee before: Jiangsu Jinlibao Electronic Technology Co.,Ltd. |