CN103753400B - A kind of failure predication for numerically control grinder control system and self-recovery method - Google Patents
A kind of failure predication for numerically control grinder control system and self-recovery method Download PDFInfo
- Publication number
- CN103753400B CN103753400B CN201410029113.4A CN201410029113A CN103753400B CN 103753400 B CN103753400 B CN 103753400B CN 201410029113 A CN201410029113 A CN 201410029113A CN 103753400 B CN103753400 B CN 103753400B
- Authority
- CN
- China
- Prior art keywords
- grinding machine
- state
- control system
- status indication
- preservation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B24—GRINDING; POLISHING
- B24B—MACHINES, DEVICES, OR PROCESSES FOR GRINDING OR POLISHING; DRESSING OR CONDITIONING OF ABRADING SURFACES; FEEDING OF GRINDING, POLISHING, OR LAPPING AGENTS
- B24B51/00—Arrangements for automatic control of a series of individual steps in grinding a workpiece
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
- G05B19/406—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by monitoring or safety
- G05B19/4067—Restoring data or position after power failure or other interruption
Landscapes
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Manufacturing & Machinery (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Mechanical Engineering (AREA)
- Constituent Portions Of Griding Lathes, Driving, Sensing And Control (AREA)
- Numerical Control (AREA)
Abstract
The present invention relates to a kind of failure predication for numerically control grinder control system and self-recovery method.The present invention specifically carries out presence mark and preservation to grinding machine state; Status indication according to preserving gives warning in advance grinding machine fault; After grinding machine breaks down, control system is recovered automatically according to the status indication preserved.Can carry out in wire tag and preservation to grinding machine state; When abnormal state being detected, early warning can be carried out; After grinding machine breaks down, control system is recovered automatically according to the mark preserved.The system that the invention enables has extreme high reliability and automatization level, can improve working (machining) efficiency, extends grinding machine service life.
Description
Technical field
The present invention relates to a kind of failure predication for numerically control grinder and self-recovery method, specifically a kind of failure predication of the two servo intelligent numerically control grinder control systems for machining bearing bear inner ring grooved railway and self-recovery method.
Background technology
Bearing is the common components for machine-building, and the quality of bearing performance often produces material impact to mechanical performance, and particularly for some precision instruments, parts of bearings can produce crucial effect to instrument performance.Also there is a big difference with international most advanced level for the current bearing mnanufacture level of China, domestic bearing grinder is mainly manifested in several aspect with external advanced bearing grinder gap: first, the automatization level of domestic grinding machine is lower, need more manpower to participate in production to go, this can increase the labor cost of Production of bearing producer virtually; Secondly, the poor robustness of system, system easily breaks down; In addition, the domestic grinding machine R & D design cycle is longer, and domestic grinding machine compares with the advanced grinding machine of foreign same type the gap having for one or two generation.
Current domestic numerical control grinding machine intelligent level is lower, domestic grinding machine only can realize the simple automated production of initial stage, namely, set the operational factor of machine workman after, machine can run automatically, but once machine breaks down (such as in running, workpiece comes off, system power failure), then the automatic operation of machine will go wrong, and just needs this time product line worker manually to solve, reduce operating efficiency, and easily disturb by artifact.
Goal of the invention
For the problems referred to above that current numerically control grinder exists, the present invention proposes a kind of failure predication and self-recovery method of the numerically control grinder control system for machining bearing bear inner ring grooved railway.
Technical scheme of the present invention is as follows:
The present invention carries out presence mark and preservation to grinding machine state; Status indication according to preserving gives warning in advance grinding machine fault; After grinding machine breaks down, control system is recovered automatically according to the status indication preserved.
Described grinding machine state carries out presence mark and preservation, specifically: detect grinding machine state, if find that this next state is consistent with last time, then carries out counting to the state of last time and adds up and upgrade; If inconsistent, then as a new state, make its Count of Status value be 1, add in the power down protection district of controller.
The described status indication according to preserving gives warning in advance grinding machine fault, specifically: repeat to add man-hour, carries out early warning by the count value of the count value and preservation state that compare current state.
Described automatic recovery, specifically: segment grinding machine state, to the fault under different conditions, man-machine interface configures different restoration schedules.
Beneficial effect of the present invention is: make native system have extreme high reliability and automatization level, can improve working (machining) efficiency, extends grinding machine service life.
Accompanying drawing explanation
Fig. 1 control system composition frame chart.
Detailed description of the invention
Below in conjunction with accompanying drawing, the invention will be further described.
As shown in Figure 1, the numerically control grinder control system based on figure programming adopts two panels 32 embedded chips as control core, is aided with peripheral components and forms control system hardware, form whole control system hardware.This can have stronger disposal ability and lower cost than general PLC by Guarantee control system; The form of ladder diagram is adopted to design grinding machine control algolithm, and integrated failure predication and self-recovery method.Ladder diagram is easy to learn, and ladder diagram can realize modularization programming, can improve the reusability of code, and trapezoid figure program ratio is easier to read, and is beneficial to regular maintenance, greatly can shortens the construction cycle, reduces maintenance cost.
When grinding machine is in automatic running status, mechanical action can be regarded as and be made up of following state: in the middle of the upper magnetic of material loading-> material loading pressure->-> grinding-> demagnetization-> blanking-> pressure-> extract-> blanking-> blanking pressure-> fills in.In above process, being pressed onto from centre and extracting this holding function is discharging, if manipulator goes feeding port feeding when there being material, then can cause the damage of mechanical part, and must guarantee that manipulator is when blanking pressure place fills in, manipulator is without material for this reason.There is following several situation that manipulator may be caused before filling in have material: 1, under automatic operational mode, in feeding process, when manipulator does not also arrive middle pressure, press emergent stopping; 2, in a manual mode, user causes machine to be in unknown state without continuous operation; 3, the unexpected power-off of machine in running.These situations above-mentioned all can cause machine normally to run, and need to set back.Mainly contain two kinds of methods at present to solve: 1, solved by the mode that workman is manual, workman is by judging the state residing for machine to the observation of machine, then corresponding action is carried out according to judged result, make machine reposition, but this kind of method greatly reduces the automatization level of machine, the labor cost of enterprise can be increased.2, no matter where machine is in, and all sets back according to same order, and this kind of method is simple, but easily there was a mechanical failure.
Innovative point of the present invention proposes a kind of failure predication and automatic recovery method, can carry out in wire tag and preservation to grinding machine state; When abnormal state being detected, early warning can be carried out; After grinding machine breaks down, control system is recovered automatically according to the mark preserved.Numerically control grinder is a limited system; there is limited machine part and mechanical action; mechanical action and IO correspondence; therefore the method mark grinding machine state of mark IO state can be adopted; and mark value is saved in power down protection district, the change each time of machine IO all can record corresponding status indication value and counting thereof.When repeating processing parts, if at the counting of abnormal of some states, or there is not this state at all, can premature termination epicycle process.Fault recovery be then according to status indication value by mechanical recovery to mechanical origin, for different malfunctions, have different recovery order and sequential, this can be set by man-machine interface.
Such as: note material loading state is S1, adds up its Count of Status C1, until material loading pressure signal is effective, is now denoted as state S2, is counted as C2 accordingly; After S2 is in stable condition, starts to perform magnetic action, be denoted as S3, be counted as C3.If certain adds man-hour, C3 counting is excessive, then point out in man-machine interface " upper magnetic fault ", stop pressurization, by the preset value time delay set time, get back to state 1.If broken down suddenly under grinding state (S4), control system automatically performs pressure-> in the middle of follow-up demagnetization-> blanking-> extracts-and > blanking-> blanking pressure-> fills in process, keep flexibility and the integrality of operating process, reduce the impact to system.
Claims (1)
1., for failure predication and the self-recovery method of numerically control grinder control system, it is characterized in that the method is specifically:
Presence mark and preservation are carried out to grinding machine state; Status indication according to preserving gives warning in advance grinding machine fault; After grinding machine breaks down, control system is recovered automatically according to the status indication preserved;
Described carries out presence mark and preservation to grinding machine state, specifically: detect grinding machine state, if find that this next state is consistent with last time, then carries out counting to the state of last time and adds up and upgrade; If inconsistent, then as a new state, make its Count of Status value be 1, add in the power down protection district of controller;
The described status indication according to preserving gives warning in advance grinding machine fault, specifically: repeat to add man-hour, carries out early warning by the count value of the count value and preservation state that compare current state;
Described automatic recovery, specifically: according to status indication value by mechanical recovery to mechanical origin; For different malfunctions, there are different recovery orders and sequential.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410029113.4A CN103753400B (en) | 2014-01-22 | 2014-01-22 | A kind of failure predication for numerically control grinder control system and self-recovery method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410029113.4A CN103753400B (en) | 2014-01-22 | 2014-01-22 | A kind of failure predication for numerically control grinder control system and self-recovery method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN103753400A CN103753400A (en) | 2014-04-30 |
CN103753400B true CN103753400B (en) | 2015-12-30 |
Family
ID=50520801
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410029113.4A Active CN103753400B (en) | 2014-01-22 | 2014-01-22 | A kind of failure predication for numerically control grinder control system and self-recovery method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103753400B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110543142A (en) * | 2019-08-22 | 2019-12-06 | 电子科技大学 | Fault diagnosis and early warning system of numerical control machine tool |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4473971A (en) * | 1982-03-29 | 1984-10-02 | Maag Gear-Wheel & Machine Co. Ltd. | Protective cutoff device for a gear wheel grinding machine |
EP0606649A2 (en) * | 1992-12-28 | 1994-07-20 | Mitsubishi Denki Kabushiki Kaisha | Numerically controlled machine tool and method to re-execute a machining program after it has been stopped |
CN202114628U (en) * | 2011-06-09 | 2012-01-18 | 沈阳海默数控机床有限公司 | Informatized network and energy monitoring system for grinders |
CN103064340A (en) * | 2011-10-21 | 2013-04-24 | 沈阳高精数控技术有限公司 | Failure prediction method facing to numerically-controlled machine tool |
CN103105821A (en) * | 2012-12-31 | 2013-05-15 | 深圳市配天数控科技有限公司 | Machine tool processing coordinate power down saving system and method |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2006086894A1 (en) * | 2005-02-15 | 2006-08-24 | Abb Research Ltd | Diagnostic device for a process control system |
-
2014
- 2014-01-22 CN CN201410029113.4A patent/CN103753400B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4473971A (en) * | 1982-03-29 | 1984-10-02 | Maag Gear-Wheel & Machine Co. Ltd. | Protective cutoff device for a gear wheel grinding machine |
EP0606649A2 (en) * | 1992-12-28 | 1994-07-20 | Mitsubishi Denki Kabushiki Kaisha | Numerically controlled machine tool and method to re-execute a machining program after it has been stopped |
CN202114628U (en) * | 2011-06-09 | 2012-01-18 | 沈阳海默数控机床有限公司 | Informatized network and energy monitoring system for grinders |
CN103064340A (en) * | 2011-10-21 | 2013-04-24 | 沈阳高精数控技术有限公司 | Failure prediction method facing to numerically-controlled machine tool |
CN103105821A (en) * | 2012-12-31 | 2013-05-15 | 深圳市配天数控科技有限公司 | Machine tool processing coordinate power down saving system and method |
Also Published As
Publication number | Publication date |
---|---|
CN103753400A (en) | 2014-04-30 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP5863857B2 (en) | Robot controller that controls the robot that supplies and discharges workpieces | |
CN205342670U (en) | Cutter current monitoring system | |
JP2009175793A (en) | Abnormality recovery support system and method for machine tool | |
CN104635599A (en) | Active preventive maintaining method and device for rotating equipment | |
CN103753400B (en) | A kind of failure predication for numerically control grinder control system and self-recovery method | |
CN204209495U (en) | CNC automatic loading and unloading device | |
CN114995286A (en) | Cutter load monitoring method and system and storage medium | |
CN110733043A (en) | robot running state monitoring and switching method | |
CN115420233A (en) | Method for identifying abnormality of position sensor of coal mining machine | |
CN113285654B (en) | Oil field petrochemical servo motor system based on fluid pressure actuating mechanism | |
CN103097971B (en) | Automation, its control device and correlation technique | |
CN204965139U (en) | Numerical control machine tool system | |
CN107971738A (en) | Electronic multiaxis nut Auto-lock Machine | |
CN106779102B (en) | Nuclear power plant maintenance strategy optimization method and device | |
CN109491368B (en) | Method for diagnosing PLC system input signal fault by using counter | |
CN109976294B (en) | Intelligent parking method and system | |
CN102881619A (en) | Yield monitoring system and monitoring method thereof | |
CN204203819U (en) | Tractor dynamic power shift power train rolls off the production line Function detection testing table electric control system | |
Patil et al. | Improvement of overall equipment effectiveness of valve stem seal finishing machine | |
EP3759344B1 (en) | A method for improving reporting of operational data of a wind turbine | |
CN108568704A (en) | A kind of cutting tool for CNC machine replacement based reminding method | |
CN109828522B (en) | Method for preventing control flow disorder caused by abnormal signal | |
Tianfei | Automatic control of food packaging machinery | |
CN210072402U (en) | Production line automation monitoring control system | |
CN106863294A (en) | A kind of Bag Making Machine manipulator control system based on PLC |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant |