CN116164686B - Online measurement analysis data acquisition system - Google Patents
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- CN116164686B CN116164686B CN202310047907.2A CN202310047907A CN116164686B CN 116164686 B CN116164686 B CN 116164686B CN 202310047907 A CN202310047907 A CN 202310047907A CN 116164686 B CN116164686 B CN 116164686B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
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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 an online measurement analysis data acquisition system, wherein a data acquisition module is used for acquiring workpiece information and equipment information for workpiece processing, and transmitting the workpiece information and the equipment information to an MES server; the data analysis module receives the workpiece information transmitted by the MES server, analyzes and obtains a workpiece body error signal and a workpiece processing equipment error signal, and transmits the workpiece body error signal and the workpiece processing equipment error signal to the MES server; the data early warning module receives the error signal of the workpiece body and the error signal of the workpiece processing equipment transmitted by the MES server, obtains early warning information of the workpiece body and early warning information of the workpiece processing equipment, and transmits the early warning information of the workpiece body and the early warning information of the workpiece processing equipment to the MES server; and the MES server sends the obtained early warning information of the workpiece body and the early warning information of the workpiece processing equipment to a monitoring user terminal for early warning processing.
Description
Technical Field
The invention relates to the technical field of online measurement, in particular to an online measurement analysis data acquisition system.
Background
The cylinder cover is the cylinder cover for short, which is arranged on the cylinder body and forms a combustion chamber together with the piston and the cylinder sleeve.
The spark plug of the cylinder cover is provided with a positioning hole, a positioning pin hole, an oil nozzle hole, a tile cover positioning pin hole, an exhaust seat ring hole (fine), an air inlet seat ring hole (fine), a front end face water jacket plug hole, a rear end face plug hole, (fine processing) oil nozzle hole and (fine processing) oil nozzle hole, the intelligent monitoring of the engine cylinder cover in the processing process is lacking in the engine cylinder cover in the processing process, the intelligent monitoring of the product quality in the engine cylinder cover processing process cannot be effectively realized, and the defect of the engine cylinder cover processing cannot be rapidly obtained, which is caused by workpiece reasons or processing equipment reasons, and has a certain defect.
Disclosure of Invention
The invention aims to provide an online measurement analysis data acquisition system, wherein in the process of acquiring workpiece information, a data acquisition module takes five workpieces as an acquisition unit, adopts a spaced (jump) acquisition mode for continuous acquisition units, analyzes relevant parameters of workpieces in an abnormal acquisition unit, reduces the guess acquisition quantity of the workpiece information under the condition of effectively ensuring the accuracy of workpiece information acquisition, reduces the working intensity, ensures the effectiveness of workpiece information acquisition, and realizes the rapid identification of the workpiece state or the workpiece processing equipment state through a data analysis module and a data early warning module.
The aim of the invention can be achieved by the following technical scheme:
an online measurement analysis data acquisition system comprises a data acquisition module, a data analysis module, a data storage module and an MES server;
the data acquisition module is used for acquiring workpiece information and equipment information for workpiece processing and sending the workpiece information and the equipment information to the MES server;
the data analysis module receives the workpiece information transmitted by the MES server, analyzes and obtains a workpiece body error signal and a workpiece processing equipment error signal, and transmits the workpiece body error signal and the workpiece processing equipment error signal to the MES server;
the data early warning module receives the error signal of the workpiece body and the error signal of the workpiece processing equipment transmitted by the MES server, obtains early warning information of the workpiece body and early warning information of the workpiece processing equipment, and transmits the early warning information of the workpiece body and the early warning information of the workpiece processing equipment to the MES server;
and the MES server sends the obtained early warning information of the workpiece body and the early warning information of the workpiece processing equipment to a monitoring user terminal for early warning processing.
As a further scheme of the invention: the data acquisition module acquires workpiece information by taking five workpieces as an acquisition unit, and acquires and processes continuous acquisition units in an interval mode.
As a further scheme of the invention: the workpiece information includes, but is not limited to, workpiece name, workpiece number, workpiece current processing information, and workpiece process parameters.
As a further scheme of the invention: the equipment information comprises, but is not limited to, total using time of equipment, failure times of the equipment and equipment processing yield.
As a further scheme of the invention: the data analysis module analyzes the processing state of the workpiece based on the workpiece information as follows:
s1: the data analysis module receives workpiece size information of the acquisition unit transmitted by the MES server, acquires the mean value and variance of the actual sizes of five workpieces in the acquisition unit, marks the mean value of the actual sizes as C1, and marks the variance of the actual sizes as C11;
s2: the data analysis module receives the preset size and the preset variance of workpiece processing transmitted by the MES server, marks the preset size as C2 and marks the preset variance as C22;
s3: comparing the actual size variance C11 with a preset variance C22;
s31: when the actual size variance C11 is larger than or equal to the preset variance C22, entering a step S6;
s32: when the actual size variance C11 is smaller than the preset variance C22, the step S4 is entered;
s4: calculating to obtain an error value C3 of workpiece processing through a formula C3= |C1-C2|;
s5: the preset threshold value of the workpiece machining size is Cy, and the error value C3 of workpiece machining is compared with the preset threshold value Cy:
s51: when the error value C3 is less than or equal to the reserved threshold value Cy, the fact that the processing size of the workpiece in the current acquisition unit is free of problems is indicated, and the data analysis module analyzes and processes the next acquisition unit;
s52: when the error value C3 is larger than the reserved threshold value Cy, the problem of machining size of the workpiece in the current acquisition unit is indicated, and S6 is entered;
s6: the data analysis module is used for independently collecting the sizes of five workpieces in the collection unit and marking the workpiece with abnormal size as K i And by work K i Is taken as a midpoint to the workpiece K i Is extended from both sides of the workpiece K i-1 Work piece K i-2 Work piece K i-3 Work piece K i+1 Work piece K i+2 Workpiece K i+3 Is a dimension of (2);
s61: when the workpiece K i Is of the size and work piece K i-1 Work piece K i-2 Work piece K i-3 Work piece K i+1 Work piece K i+2 Workpiece K i+3 No continuous linear relationship, indicating the work K i-1 The dimension error of (2) is the error of the workpiece body, and a workpiece body error signal is produced;
s62: when the workpiece K i Is of the size and work piece K i-1 Work piece K i-2 Work piece K i-3 Work piece K i+1 Work piece K i+ 2 and work K i+3 With a continuous linear relationship, indicating the work K i-1 The dimensional error of (2) is the error of the workpiece processing equipment, and the error signal of the workpiece processing equipment is produced;
s7: the data analysis module sends the error signal of the workpiece body or the error signal of the workpiece processing equipment to the MES server.
As a further scheme of the invention: in S6, the continuous linear relationship extends to both sides with the abnormal workpiece as the center, identifies the workpiece information on both sides of the abnormal workpiece, and continuously increases or decreases the workpiece information on both sides and the abnormal workpiece information.
As a further scheme of the invention: the data early warning module receives the workpiece body error signal transmitted by the MES server, marks the workpiece corresponding to the workpiece body error signal, sends workpiece information of the marked workpiece to the MES server, and sends workpiece information of the marked workpiece to the monitoring personnel terminal for workpiece early warning.
As a further scheme of the invention: the data early warning module receives the error signal of the workpiece processing equipment transmitted by the MES server, and the processing steps of the workpiece processing equipment are as follows:
w1: the data early-warning module receives equipment information transmitted by the MES server, and the data early-warning module identifies the processing state of the workpiece based on the current equipment information;
w2: marking a workpiece processing device corresponding to the step based on the workpiece processing error as GS;
w3: the data early warning module acquires the total fault times of the workpiece processing equipment, and marks the total fault times as Fi GS ；
W4: the data early warning module obtains the total processing time length of the workpiece processing equipment, and marks the total processing time length as Ti GS ;
W5: the data early warning module obtains the processing yield of the workpiece processing equipment and marks the processing yield as Li GS ；
W6: according to the formulaCalculating to obtain an early warning value Hi of the processing equipment, wherein f1, f2 and f3 are preset proportion coefficients, and the early warning value Hi is a value of +.>Is a correction coefficient;
w7, presetting an early warning threshold value of the workpiece processing equipment to be Hy, and comparing the early warning value Hi of the workpiece processing equipment with the early warning threshold value Hy of the workpiece processing equipment;
w71: when the early warning value Hi is less than or equal to the early warning threshold value Hy, the processing state of the current workpiece processing equipment is normal, a workpiece processing equipment normal signal is generated, and the workpiece processing equipment normal signal is sent to an MES server;
w72: when the early warning value Hi is greater than the early warning threshold Hy, the abnormal processing state of the current workpiece processing equipment is indicated, a workpiece processing equipment early warning signal is generated, and the workpiece processing equipment early warning signal is sent to an MES server;
w8: and the MES server sends the workpiece processing equipment early warning signal to a monitoring personnel terminal to perform workpiece processing equipment early warning.
The invention has the beneficial effects that:
(1) The data analysis module is used for identifying abnormal workpiece information in the acquisition unit according to a mode of combining variance and mean value in workpiece information processing in the acquisition unit, and for the abnormal workpiece information, extending the abnormal workpiece to two sides by taking the abnormal workpiece as a center, identifying workpiece information on two sides of the abnormal workpiece, indicating that the workpiece is abnormal when the workpiece information on two sides of the abnormal workpiece is in a wireless relation with the abnormal workpiece information, and indicating that the workpiece processing equipment is abnormal when the workpiece information on two sides of the abnormal workpiece is in a linear relation with the abnormal workpiece information, so that a monitoring person can rapidly identify whether a workpiece is abnormal or the workpiece processing equipment is abnormal;
(2) The data analysis module is used for identifying abnormal workpiece information in the acquisition unit according to a mode of combining variance and mean value in workpiece information processing in the acquisition unit, and for the abnormal workpiece information, the data analysis module extends to two sides by taking an abnormal workpiece as a center to identify workpiece information on two sides of the abnormal workpiece, when the workpiece information on two sides of the abnormal workpiece is in a wireless relation with the abnormal workpiece information, the data analysis module indicates that the workpiece is abnormal, and when the workpiece information on two sides of the abnormal workpiece is in a linear relation with the abnormal workpiece information, the data analysis module indicates that the workpiece processing equipment is abnormal, so that a monitoring person can rapidly identify whether a workpiece is abnormal or the workpiece processing equipment is abnormal.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a flow chart of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention is an online measurement analysis data acquisition system, which comprises a data acquisition module, a data analysis module, a data storage module, a data early warning module and an MES server;
the data acquisition module, the data analysis module, the data storage module and the data early warning module are electrically connected with the MES server.
The data acquisition module is used for acquiring workpiece information and sending the acquired workpiece information to the MES server;
wherein the workpiece information includes, but is not limited to, workpiece name, workpiece number, workpiece current processing information and workpiece process parameters;
the data acquisition module is also used for acquiring equipment information of the workpiece processing equipment and sending the acquired equipment information to the MES server;
the equipment information includes, but is not limited to, total duration of use of the equipment, number of processing of the workpiece in the last three months, and number of failures of the equipment in the last three months.
The data analysis module receives workpiece information transmitted by the MES server, and the data analysis module identifies the processing state of the workpiece based on the current workpiece information.
In the implementation, taking the machining size of a workpiece as an example, a data acquisition module adopts a jump type acquisition mode for the workpiece, five workpieces are taken as an acquisition unit, the data acquisition module acquires the information acquisition mode of the acquisition unit in a mode of 2n-1, and n is 1,2,3.
The data analysis module analyzes the processing state of the workpiece based on the workpiece information as follows:
s1: the data analysis module receives workpiece size information of the acquisition unit transmitted by the MES server, acquires the mean value and variance of the actual sizes of five workpieces in the acquisition unit, marks the mean value of the actual sizes as C1, and marks the variance of the actual sizes as C11;
s2: the data analysis module receives the preset size and the preset variance of workpiece processing transmitted by the MES server, marks the preset size as C2 and marks the preset variance as C22;
s3: comparing the actual size variance C11 with a preset variance C22;
s31: when the actual size variance C11 is larger than or equal to the preset variance C22, entering a step S6;
s32: when the actual size variance C11 is smaller than the preset variance C22, the step S4 is entered;
s4: calculating to obtain an error value C3 of workpiece processing through a formula C3= |C1-C2|;
s5: the preset threshold value of the workpiece machining size is Cy, and the error value C3 of workpiece machining is compared with the preset threshold value Cy:
s51: when the error value C3 is less than or equal to the reserved threshold value Cy, the fact that the processing size of the workpiece in the current acquisition unit is free of problems is indicated, and the data analysis module analyzes and processes the next acquisition unit;
s52: when the error value C3 is larger than the reserved threshold value Cy, the problem of machining size of the workpiece in the current acquisition unit is indicated, and S6 is entered;
s6: the data analysis module is used for independently collecting the sizes of five workpieces in the collection unit and marking the workpiece with abnormal size as K i And by work K i Is taken as a midpoint and extends to two sides of the workpiece Ki to obtain a workpiece K i-1 Work piece K i-2 Work piece K i-3 Work piece K i+1 Work piece K i+2 Workpiece K i+3 Is a dimension of (2);
s61: when the workpiece K i Is of the size and work piece K i-1 Work piece K i-2 Work piece K i-3 Work piece K i+1 Work piece K i+2 Workpiece K i+3 No continuous linear relationship, indicating the work K i-1 The dimension error of (2) is the error of the workpiece body, and a workpiece body error signal is produced;
s62: when the workpiece K i Is of the size and work piece K i-1 Work piece K i-2 Work piece K i-3 Work piece K i+1 Work piece K i+2 Workpiece K i+3 With a continuous linear relationship, indicating the work K i-1 Ruler(s)The dimensional error is the error of the workpiece processing equipment and is used for producing an error signal of the workpiece processing equipment;
s7: the data analysis module sends the error signal of the workpiece body or the error signal of the workpiece processing equipment to the MES server.
S6, the size of the workpiece Ki and the workpiece K i-1 Work piece K i-2 The linear relationship of continuity for workpieces Ki-3, ki+1, ki+2 and Ki+3 is specifically:
SS1: work piece K i-3 Work piece K i-2 Work piece K i-1 Continuously decreasing with the Ki size of the workpiece;
SS2: work piece K i-3 Work piece K i-2 Work piece K i-1 Continuously increasing with the Ki size of the workpiece;
SS3: work piece K i And work piece K i+1 Work piece K i+2 Work piece K i+3 The size is continuously reduced;
SS4: work piece K i And work piece K i+1 Work piece K i+2 Work piece K i+3 The size continuously increases.
The data early warning module receives a workpiece body error signal or a workpiece processing equipment error signal transmitted by the MES server;
the processing procedure of the data early warning module to the error signal of the workpiece body is as follows: marking the workpiece corresponding to the workpiece body error signal, sending workpiece information of the marked workpiece to an MES server, and sending the workpiece information of the marked workpiece to a monitoring personnel terminal by the MES server for workpiece early warning;
wherein the monitor terminal includes, but is not limited to, a mobile terminal;
the processing procedure of the data early warning module to the error signal of the workpiece processing equipment is as follows:
w1: the data early-warning module receives equipment information transmitted by the MES server, and the data early-warning module identifies the processing state of the workpiece based on the current equipment information;
w2: marking a workpiece processing device corresponding to the step based on the workpiece processing error as GS;
w3: the data early warning module acquires the fault of the workpiece processing equipmentTotal number of failures, marking the total number of failures as Fi GS ；
W4: the data early warning module obtains the total processing time length of the workpiece processing equipment, and marks the total processing time length as Ti GS ;
W5: the data early warning module obtains the processing yield of the workpiece processing equipment and marks the processing yield as Li GS ；
W6: according to the formulaCalculating to obtain an early warning value Hi of the processing equipment, wherein f1, f2 and f3 are preset proportion coefficients, and the early warning value Hi is a value of +.>Is a correction coefficient;
w7, presetting an early warning threshold value of the workpiece processing equipment to be Hy, and comparing the early warning value Hi of the workpiece processing equipment with the early warning threshold value Hy of the workpiece processing equipment;
w71: when the early warning value Hi is less than or equal to the early warning threshold value Hy, the processing state of the current workpiece processing equipment is normal, a workpiece processing equipment normal signal is generated, and the workpiece processing equipment normal signal is sent to an MES server;
w72: when the early warning value Hi is greater than the early warning threshold Hy, the abnormal processing state of the current workpiece processing equipment is indicated, a workpiece processing equipment early warning signal is generated, and the workpiece processing equipment early warning signal is sent to an MES server;
w8: and the MES server sends the workpiece processing equipment early warning signal to a monitoring personnel terminal to perform workpiece processing equipment early warning.
As can be seen from the formula in W6, after the data early warning module obtains the error signal of the workpiece processing device transmitted by the data analysis module, that is, the failure rate of the workpiece processing device is increased once, so that the early warning value of the workpiece processing device is increased, the workpiece rejection rate of the workpiece processing device is further increased, and the processing state of the workpiece processing device is gradually deteriorated;
meanwhile, as shown by the formula in W6, with the increase of the processing time of the workpiece processing equipment, the workpiece rejection rate of the workpiece processing equipment is further increased, and the processing state of the workpiece processing equipment is poor;
the higher the yield of the workpiece processing equipment is, the lower the workpiece rejection rate of the workpiece processing equipment is, and the processing state of the workpiece processing equipment is excellent.
And after receiving the workpiece processing equipment early warning information transmitted by the MES server, the monitoring personnel terminal performs shutdown inspection on the workpiece processing equipment.
The data storage module receives the workpiece information and the equipment information transmitted by the data acquisition module transmitted by the MES server and stores the workpiece information and the equipment information;
the data storage module also receives the workpiece body error signal and the workpiece processing equipment error signal transmitted by the data analysis module transmitted by the MES server, and stores the workpiece body error signal and the workpiece processing equipment error signal;
the data storage module also receives the workpiece early warning information and the workpiece processing equipment early warning information transmitted by the data early warning module transmitted by the MES server, and stores the workpiece early warning information and the workpiece processing equipment early warning information;
the storage information in the data storage module can be called by the monitoring personnel terminal.
The core points of the invention are as follows: in the process of collecting workpiece information, the data collecting module takes five workpieces as a collecting unit, adopts a spaced (jump) collecting mode for continuous collecting units, analyzes relevant parameters of the workpieces in abnormal collecting units, reduces guess collecting quantity of the workpiece information under the condition of effectively ensuring correct rate of workpiece information collection, reduces working strength and ensures validity of workpiece information collection;
the core points of the invention are as follows: the data analysis module is used for identifying abnormal workpiece information in the acquisition unit according to a mode of combining variance and mean value in workpiece information processing in the acquisition unit, extending the abnormal workpiece information to two sides by taking the abnormal workpiece as a center, identifying workpiece information on two sides of the abnormal workpiece, indicating that the workpiece is abnormal when the workpiece information on two sides of the abnormal workpiece is in a wireless relation with the abnormal workpiece information, and indicating that the workpiece processing equipment is abnormal when the workpiece information on two sides of the abnormal workpiece is in a linear relation with the abnormal workpiece information, so that monitoring staff can quickly identify whether a workpiece is abnormal individually or the workpiece processing equipment is abnormal;
the core points of the invention are as follows: the data analysis module comprehensively processes the abnormal times of the workpiece processing equipment, the processing time of the workpiece processing equipment and the yield of the workpiece processing equipment to obtain an early warning value of the workpiece processing equipment, so that intelligent early warning of the workpiece processing equipment is realized, and the workpiece processing equipment is effectively prevented from being failed or the processing defective rate is effectively increased in the subsequent processing process.
In one embodiment, the processing dimensions of the workpiece can also be replaced with the gas tightness or other processing index parameters of the workpiece.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (8)
1. The online measurement analysis data acquisition system is characterized by comprising a data acquisition module, a data analysis module, a data storage module and an MES server;
the data acquisition module is used for acquiring workpiece information and equipment information for workpiece processing and sending the workpiece information and the equipment information to the MES server;
the data analysis module receives the workpiece information transmitted by the MES server, analyzes and obtains a workpiece body error signal and a workpiece processing equipment error signal, and transmits the workpiece body error signal and the workpiece processing equipment error signal to the MES server;
the data early-warning module receives the error signal of the workpiece body and the error signal of the workpiece processing equipment transmitted by the MES server, obtains early-warning information of the workpiece body and early-warning information of the workpiece processing equipment, and transmits the early-warning information of the workpiece body and the early-warning information of the workpiece processing equipment to the MES server;
the MES server sends the obtained early warning information of the workpiece body and the early warning information of the workpiece processing equipment to a monitoring user terminal for early warning treatment;
the data analysis module analyzes the processing state of the workpiece based on the workpiece information as follows:
s1: the data analysis module receives workpiece size information of the acquisition unit transmitted by the MES server, acquires the mean value and variance of the actual sizes of five workpieces in the acquisition unit, marks the mean value of the actual sizes as C1, and marks the variance of the actual sizes as C11;
s2, the data analysis module receives the preset size and the preset variance of workpiece processing transmitted by the MES server, marks the preset size as C2 and marks the preset variance as C22;
s3, comparing the actual size variance C11 with a preset variance C22;
s31: when the actual size variance C11 is larger than or equal to the preset variance C22, entering a step S6;
s32: when the actual size variance C11 is smaller than the preset variance C22, the step S4 is entered;
s4: calculating to obtain an error value C3 of workpiece processing through a formula C3= |C1-C2|;
s5: the preset threshold value of the workpiece machining size is Cy, and the error value C3 of workpiece machining is compared with the preset threshold value Cy:
s51: when the error value C3 is less than or equal to the reserved threshold value Cy, the fact that the processing size of the workpiece in the current acquisition unit is free of problems is indicated, and the data analysis module analyzes and processes the next acquisition unit;
s52: when the error value C3 is larger than the reserved threshold value Cy, the problem of machining size of the workpiece in the current acquisition unit is indicated, and S6 is entered;
s6: the data analysis module is used for independently collecting the sizes of five workpieces in the collection unit and marking the workpiece with abnormal size as K i And by work K i Is taken as a midpoint to the workpiece K i Is extended from both sides of the workpiece K i-1 Work piece K i-2 Work piece K i-3 WorkerPiece K i+1 Work piece K i+2 Workpiece K i+3 Is a dimension of (2);
s61: when the workpiece K i Is of the size and work piece K i-1 Work piece K i-2 Work piece K i-3 Work piece K i+1 Work piece K i+2 Workpiece K i+3 No continuous linear relationship, indicating the work K i-1 The dimension error of (2) is the error of the workpiece body, and a workpiece body error signal is produced;
s62: when the workpiece K i Is of the size and work piece K i-1 Work piece K i-2 Work piece K i-3 Work piece K i+1 Work piece K i+ 2 and work K i+3 With a continuous linear relationship, indicating the work K i-1 The dimensional error of (2) is the error of the workpiece processing equipment, and the error signal of the workpiece processing equipment is produced;
s7: the data analysis module sends the error signal of the workpiece body or the error signal of the workpiece processing equipment to the MES server.
2. The on-line measurement analysis data collection system of claim 1 wherein the workpiece information includes, but is not limited to, workpiece name, workpiece number, workpiece current process information, and workpiece process parameters.
3. The on-line measurement analysis data collection system of claim 1, wherein the equipment information includes, but is not limited to, total duration of use of the equipment, number of failures of the equipment, and equipment process yield.
4. The system according to claim 1, wherein in S6, the continuous linear relationship extends to two sides with the abnormal workpiece as a center, and identifies workpiece information on two sides of the abnormal workpiece, and the workpiece information on two sides continuously increases or decreases with the abnormal workpiece information.
5. The system according to claim 1, wherein the data pre-warning module receives a workpiece body error signal transmitted by the MES server, marks a workpiece corresponding to the workpiece body error signal, sends workpiece information of the marked workpiece to the MES server, and sends workpiece information of the marked workpiece to the monitor terminal for pre-warning of the workpiece.
6. The system of claim 1, wherein the data pre-warning module receives a workpiece processing equipment error signal transmitted by the MES server, and processes the workpiece processing equipment as follows:
w1: the data early-warning module receives equipment information transmitted by the MES server, and the data early-warning module identifies the processing state of the workpiece based on the current equipment information;
w2: marking a workpiece processing device corresponding to the step based on the workpiece processing error as GS;
w3: the data early warning module acquires the total fault times of the workpiece processing equipment, and marks the total fault times as Fi GS ；
W4, the data early warning module obtains the total processing time length of the workpiece processing equipment, and marks the total processing time length as Ti GS ；
W5, the data early warning module obtains the processing yield of the workpiece processing equipment, and marks the processing yield as Li GS ；
W6: according to the formulaCalculating to obtain an early warning value Hi of the processing equipment, wherein f1, f2 and f3 are preset proportion coefficients, and the early warning value Hi is a value of +.>Is a correction coefficient;
w7, presetting an early warning threshold value of the workpiece processing equipment to be Hy, and comparing the early warning value Hi of the workpiece processing equipment with the early warning threshold value Hy of the workpiece processing equipment;
w71: when the early warning value Hi is less than or equal to the early warning threshold value Hy, the processing state of the current workpiece processing equipment is normal, a workpiece processing equipment normal signal is generated, and the workpiece processing equipment normal signal is sent to an MES server;
w72: when the early warning value Hi is greater than the early warning threshold Hy, the abnormal processing state of the current workpiece processing equipment is indicated, a workpiece processing equipment early warning signal is generated, and the workpiece processing equipment early warning signal is sent to an MES server;
w8: and the MES server sends the workpiece processing equipment early warning signal to a monitoring personnel terminal to perform workpiece processing equipment early warning.
7. An on-line measurement analysis data acquisition system according to claim 6 wherein the monitor terminal includes, but is not limited to, a mobile terminal.
8. The on-line measurement analysis data collection system of claim 1, further comprising a data storage module for storing workpiece information and equipment information.
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