CN112612250B - Tool feedback control device and method - Google Patents

Tool feedback control device and method Download PDF

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CN112612250B
CN112612250B CN202011299478.0A CN202011299478A CN112612250B CN 112612250 B CN112612250 B CN 112612250B CN 202011299478 A CN202011299478 A CN 202011299478A CN 112612250 B CN112612250 B CN 112612250B
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parameter
tool
compensation
profile
contour
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CN112612250A (en
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孙正一
陈昶昇
杨勇
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Fulian Yuzhan Technology Shenzhen Co Ltd
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Shenzhenshi Yuzhan Precision Technology Co Ltd
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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
    • G05B19/41—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 interpolation, e.g. the computation of intermediate points between programmed end points to define the path to be followed and the rate of travel along that path
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/34—Director, elements to supervisory
    • G05B2219/34083—Interpolation general

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Abstract

The application relates to a tool feedback control device, which comprises a communicator and a processor. The communicator receives a first profile parameter and a second profile parameter of a workpiece. A processor coupled to the communicator and configured to: determining the incidence relation between the first contour parameter and the second contour parameter; based on the incidence relation between the first contour parameter and the second contour parameter, transforming the first contour parameter and the second contour through first variable transformation to obtain a transformation parameter; inputting the transformation parameters into a tool compensation calculation model to form a tool compensation value; converting the tool compensation value based on the second variable conversion to obtain a tool compensation parameter; determining a tool compensation strategy according to the tool compensation parameters and preset compensation decision conditions, wherein the tool compensation strategy is used for compensating a tool of the machine; the communicator is also used for sending the tool compensation strategy to the machine. The application also relates to a tool feedback control method. The method and the device can reduce the problem of large labor and working hours consumed when the cutter compensation value of the associated profile parameter is set.

Description

Tool feedback control device and method
Technical Field
The application relates to the field of automation control, in particular to a tool feedback control device and method.
Background
The existing tool compensation scheme usually sets different tool compensation judgment logics through a plurality of target decision trees according to different workpiece size measurement scenes, and particularly needs to respectively judge different workpiece size scenes and manually adjust and verify the corresponding tool compensation judgment of the plurality of workpiece sizes with relevance. This not only needs to consume a large amount of manpower and man-hours, but also causes the difficulty of setting the tool compensation parameter value to increase because the processing flow of a plurality of target decision trees is complicated and the difference of different associated tool compensation parameter values is large.
Disclosure of Invention
In view of the above, it is desirable to provide a tool feedback control apparatus and method to reduce the problem of large labor and time consumption in setting the tool compensation value of the associated profile parameter.
A first aspect of the present application provides a tool feedback control apparatus, including:
a communicator that receives a first profile parameter and a second profile parameter of a workpiece; and
a processor coupled to the communicator and configured to:
determining the incidence relation between the first contour parameter and the second contour parameter;
based on the incidence relation between the first contour parameter and the second contour parameter, transforming the first contour parameter and the second contour through first variable transformation to obtain a transformation parameter;
inputting the transformation parameters into a tool compensation calculation model to form a tool compensation value;
converting the tool compensation value based on second variable conversion to obtain a tool compensation parameter;
determining a tool compensation strategy according to the tool compensation parameter and a preset compensation decision condition, wherein the tool compensation strategy is used for compensating a tool of a machine;
the communicator is further configured to send the tool compensation strategy to the machine.
Preferably, the processor is specifically configured to determine an association relationship between the first profile parameter and the second profile parameter:
determining that the first profile parameter is a first profile type and the second profile parameter is a second profile type;
and determining an association relationship between the first contour parameter and the second contour parameter according to the relationship conditions of the first contour type, the second contour type and a preset contour type, wherein the association relationship is that the second contour parameter is influenced by linkage after tool compensation is carried out on the first contour parameter.
Preferably, the transforming the first contour parameter and the second contour parameter by a first variable transformation, the processor is specifically configured to:
passing the first profile parameter and the second profile parameter through the formula y ═ Σ eixiPerforming a first variable transformation to obtain a transformation parameter y, wherein xiIs the ith profile parameter, eiIs xiThe weight of (2).
Preferably, the weight eiCorresponding to the ith profile parameter xiIs positively correlated with the importance of the ith profile parameter xiThe importance ratio of all the contour parameters.
Preferably, the first variable transformation and the second variable transformation are inverse transformations.
Preferably, the type of the first profile parameter is a first profile type, the type of the second profile parameter is a second profile type, the tool compensation parameter includes a first tool compensation parameter and a second tool compensation parameter, the first tool compensation parameter is used for tool compensation for the first profile parameter, the second tool compensation parameter is used for tool compensation for the second profile parameter, and the processor is further configured to:
determining that the compensation priority of the tool of the first profile type is high relative to the compensation priority of the tool of the second profile type;
keeping the first tool compensation parameter unchanged based on the compensation priority of the tool of the first profile type being higher than the compensation priority of the tool of the second profile type;
adjusting the second tool compensation parameter based on the tool compensation value and the first tool compensation parameter.
Preferably, the type of the first profile parameter is a first profile type, the type of the second profile parameter is a second profile type, the tool compensation parameter includes a first tool compensation parameter and a second tool compensation parameter, the first tool compensation parameter is used for tool compensation of the first profile parameter, the second tool compensation parameter is used for tool compensation of the second profile parameter, the tool compensation value is transformed based on a second variable transformation to obtain a tool compensation parameter, and the processor is specifically configured to:
determining a tool compensation specific gravity for the first profile type and the second profile type;
and decomposing the cutter compensation value in proportion based on the cutter compensation proportion to obtain the first cutter compensation parameter and the second cutter compensation parameter.
Preferably, the processor is further configured to:
acquiring the profile parameter set and a tool compensation value set corresponding to the profile parameter set;
combining the contour parameter set and the cutter compensation value set to form a cutter compensation time sequence;
segmenting the cutter compensation time sequence to form metadata;
forming a set of weights based on the metadata;
and adjusting the cutter compensation time sequence according to the weight group to form the cutter compensation calculation model.
Preferably, the processor is further configured to:
judging that the cutter compensation value exceeds a preset threshold value, and forming a difference value between the cutter compensation value and the preset threshold value;
forming an abnormal grade according to the difference value;
and forming a stop instruction according to the exception grade.
A second aspect of the present application provides a tool feedback control method, including:
receiving a first profile parameter and a second profile parameter of a workpiece;
determining the incidence relation between the first contour parameter and the second contour parameter;
based on the incidence relation between the first contour parameter and the second contour parameter, transforming the first contour parameter and the second contour through first variable transformation to obtain a transformation parameter;
inputting the transformation parameters into a tool compensation calculation model to form a tool compensation value;
converting the tool compensation value based on second variable conversion to obtain a tool compensation parameter;
determining a tool compensation strategy according to the tool compensation parameters and a preset compensation decision condition; and
and compensating the cutter of the machine according to the cutter compensation strategy.
Preferably, the determining the association relationship between the first profile parameter and the second profile parameter includes:
determining that the first profile parameter is a first profile type and the second profile parameter is a second profile type;
and determining an association relationship between the first contour parameter and the second contour parameter according to the relationship conditions of the first contour type, the second contour type and a preset contour type, wherein the association relationship is that the second contour parameter is influenced by linkage after tool compensation is carried out on the first contour parameter.
Preferably, said transforming said first contour parameter and said second contour by a first variable transformation comprises:
passing the first profile parameter and the second profile parameter through the formula y ═ Σ eixiPerforming a first variable transformation to obtain a transformation parameter y, wherein xiIs the ith profile parameter, eiIs xiThe weight of (2).
Preferably, the weight eiCorresponding to the ith profile parameter xiIs positively correlated with the importance of the ith profile parameter xiThe importance ratio of all the contour parameters.
Preferably, the first variable transformation and the second variable transformation are inverse transformations.
Preferably, the type of the first profile parameter is a first profile type, the type of the second profile parameter is a second profile type, the tool compensation parameter includes a first tool compensation parameter and a second tool compensation parameter, the first tool compensation parameter is used for tool compensation for the first profile parameter, the second tool compensation parameter is used for tool compensation for the second profile parameter, the method further includes:
determining that the compensation priority of the tool of the first profile type is high relative to the compensation priority of the tool of the second profile type;
keeping the first tool compensation parameter unchanged based on the compensation priority of the tool of the first profile type being higher than the compensation priority of the tool of the second profile type;
adjusting the second tool compensation parameter based on the tool compensation value and the first tool compensation parameter.
Preferably, the first profile parameter is a first profile type, the second profile parameter is a second profile type, the tool compensation parameter includes a first tool compensation parameter and a second tool compensation parameter, the first tool compensation parameter is used for tool compensation of the first profile parameter, the second tool compensation parameter is used for tool compensation of the second profile parameter, and the tool compensation value is transformed based on the second variable transformation to obtain the tool compensation parameter, including:
determining a tool compensation specific gravity for the first profile type and the second profile type;
and decomposing the cutter compensation value in proportion based on the cutter compensation proportion to obtain the first cutter compensation parameter and the second cutter compensation parameter.
Preferably, the tool compensation calculation model is a time series model constructed according to a profile parameter set, the profile parameter set is at least one profile parameter formed by historical detection of the workpiece, and the method further comprises:
acquiring the profile parameter set and a cutter compensation value set corresponding to the profile parameter set;
combining the contour parameter set and the cutter compensation value set to form a cutter compensation time sequence;
segmenting the tool compensation time sequence to form metadata;
forming a set of weights based on the metadata;
and adjusting the cutter compensation time sequence according to the weight group to form the cutter compensation calculation model.
Preferably, the method further comprises:
judging that the cutter compensation value exceeds a preset threshold value, and forming a difference value between the cutter compensation value and the preset threshold value;
forming an abnormal grade according to the difference value;
and forming a stop instruction according to the exception grade.
According to the method and the device, the associated profile parameters of the workpiece can be automatically acquired, the cutter compensation value is calculated according to the associated profile parameters, and the cutter aimed by the associated parameters is compensated according to the compensation value of the cutter, so that the problem that a large amount of labor and working hours are consumed when the cutter compensation value of the associated profile parameters is set is solved.
Drawings
Fig. 1 is an application environment diagram of a tool feedback control method according to an embodiment of the present disclosure.
Fig. 2 is a functional unit diagram of a tool feedback control system according to an embodiment of the present disclosure.
Fig. 3 is a flowchart of a tool feedback control method according to an embodiment of the present application.
Description of the main elements
Figure BDA0002786390860000041
Figure BDA0002786390860000051
The following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
In order that the above objects, features and advantages of the present application can be more clearly understood, a detailed description of the present application will be given below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth to provide a thorough understanding of the present application, and the described embodiments are merely a subset of the embodiments of the present application and are not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
As used in this application, the term "communicator" may refer to any type of communication circuit or device. The communicator may be embodied as or may comprise several types of network elements, including base stations; a router device; a switching device; a server device; an aggregator apparatus; a bus architecture; combinations of the foregoing; or the like. The one or more bus architectures CAN include an industrial bus architecture such as an ethernet-based industrial bus, a Controller Area Network (CAN) bus, Modbus, other types of fieldbus architectures, and the like.
As used in this application, the term "processor" may refer to any type of processing circuit or device. A processor may be implemented as a combination of processing circuits or computational processing units (e.g., a CPU, a GPU, or a combination of both). Thus, for purposes of description, a processor may refer to a single core processor; a single processor with software multi-threaded execution capability; a multi-core processor; a multi-core processor having software multi-thread execution capability; a multi-core processor having hardware multithreading; a parallel processing (or computing) platform; and a parallel computing platform with distributed shared memory. Additionally, or for another example, a processor may refer to an Integrated Circuit (IC), an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a Programmable Logic Controller (PLC), a Complex Programmable Logic Device (CPLD), discrete gate or transistor logic, discrete hardware components, or any combination thereof designed or configured (e.g., manufactured) to perform the functions described herein. In some embodiments, processors may use nanoscale architectures in order to optimize space usage or enhance performance of systems, devices, or other electronic devices according to the present application. For example, the processor may include molecular transistors and/or quantum dot based transistors, switches, and gates.
Furthermore, in the present specification and drawings, terms such as "store," "memory," "data store," "memory," "repository," and substantially any other information storage means associated with the operation and function of the components of the present application refer to memory means, entities implemented in one or more memory devices, or means forming a memory device. It should be noted that the memory means or memory apparatus described herein implements or includes a non-transitory computer storage medium readable or accessible by a computing device. Such media may be implemented in any method or technology for storing information, such as machine-accessible instructions (e.g., computer-readable instructions), information structures, program modules, or other information objects.
The memory means or memory devices disclosed herein may be implemented as volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. Further, the memory component or memory device may be removable or non-removable, and/or internal or external to the computing apparatus or component. Examples of various types of non-transitory storage media may include hard disk drives, zip drives, CD-ROMs, Digital Versatile Disks (DVDs) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, flash memory cards or other types of memory cards, magnetic cassettes, or any other non-transitory medium suitable for retaining the desired information and accessible by the computing device. For example, nonvolatile memory can include Read Only Memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM has many forms, such as Synchronous RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The disclosed memory devices or memories of an operating or computing environment described herein are intended to comprise one or more of these and/or any other suitable types of memory.
Conditional language such as "may," "can," "might," or "may" is generally intended to convey that certain implementations may include certain features, elements, and/or operations, while other implementations do not, unless specifically stated otherwise or understood otherwise in the context of usage. Thus, such conditional language is not generally intended to imply that features, elements, and/or operations are in any way required for one or more implementations or that one or more implementations must contain logic for deciding, with or without user input or prompting, whether such features, elements, and/or operations are contained or are to be performed in any particular implementation.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more machine or computer-executable instructions for implementing the specified operations. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The computer-readable program instructions of the present application may be downloaded to a corresponding computing/processing device from a computer-readable storage medium or an external computer or external storage device via a network (e.g., the internet, a local area network, a wide area network, and/or a wireless network). The network may include copper transmission cables, optical transmission fibers, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable non-transitory storage medium within the respective computing/processing device.
What has been described in this specification and the accompanying drawings includes examples of systems, apparatus, techniques, and computer program products that, individually and in combination, allow for tracking and tracing of components of products manufactured in industrial facilities. It is, of course, not possible to describe every conceivable combination of components and/or methodologies for purposes of describing the various elements of the present application, but it is recognized that many further combinations and permutations of the disclosed elements are possible. It is therefore evident that various modifications may be made thereto without departing from the scope or spirit of the application. In addition, or in the alternative, other embodiments of the present application may be apparent from consideration of the specification and drawings and practice of the present application as presented herein. The examples set forth in the specification and figures are to be considered in all respects as illustrative and not restrictive. Although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.
Referring to fig. 1, an application environment diagram of a tool feedback control method according to an embodiment of the present application is shown. The tool feedback control method is applied to the tool feedback control device 1. In this embodiment, the tool feedback control device 1 may be a desktop computer, a notebook computer, a server, or a cloud terminal device. In this embodiment, the tool feedback control device 1 at least includes a communicator 11, a processor 12 and a memory 13. The tool feedback control device 1 is in communication connection with the first measuring machine 2, the second measuring machine 3 and the machine table 4 through the communicator 11. In one embodiment, the communicator 11 may be a wireless communication module. For example, the communicator 11 may be selected as a WiFi module or a 4G/5G communication module. In another embodiment, the communicator 11 may be a wired communication module. For example, the communicator 11 may be a cable, an optical fiber. In this embodiment, the communicator 11 is configured to receive a first profile parameter formed by the first measuring machine 2 and a second profile parameter formed by the second measuring machine 3. In this embodiment, the first profile parameter and the second profile parameter at least include a height, a width, or an aperture of the workpiece. In other embodiments, the first measuring machine 2 can measure the workpiece to form a first profile parameter and a second profile parameter, and the tool feedback control device 1 is communicatively connected to the first measuring machine 2 via the communicator 11 to receive the first profile parameter and the second profile parameter of the workpiece. In this embodiment, the number of the measuring machines and the specific profile parameters of the workpieces measured by the measuring machines are not specifically limited, and only the first measuring machine 2 detects the workpiece to form the first profile parameter, and the second measuring machine 3 detects the second profile parameter of the workpiece shape is taken as an example for description.
The processor 12 is communicatively coupled to the communicator 11. In this embodiment, the Processor 12 may be a Central Processing Unit (CPU), other general-purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, or the like. In another embodiment, the processor 12 may be a microprocessor or any conventional processor, and the processor 12 may also be a control center of the tool feedback control device 1, and various interfaces and lines are used to connect various parts of the entire tool feedback control device 1.
In this embodiment, the memory 13 is connected to the processor 12 and is used for storing data and/or software codes. In this embodiment, the memory 13 may be an internal storage unit in the tool feedback control device 1, such as a hard disk or a memory in the tool feedback control device 1. In another embodiment, the memory 13 may also be an external storage device in the tool feedback control device 1, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the tool feedback control device 1.
Referring to fig. 2, a functional unit diagram of a tool feedback control system 100 according to an embodiment of the present disclosure is shown. In this embodiment, the tool feedback control system 100 includes one or more modules, and the one or more modules are operated in the tool feedback control device 1. In this embodiment, the tool feedback control system 100 includes a receiving module 101, an association relation determining module 102, a first transforming module 103, a calculating module 104, a second transforming module 105, a compensation strategy determining module 106, a sending module 107, and a reminding module 108. In this embodiment, the receiving module 101, the association relation determining module 102, the first transforming module 103, the calculating module 104, the second transforming module 105, the compensation strategy determining module 106, the sending module 107 and the reminding module 108 are stored in the memory 13 of the tool feedback control device 1 and are called and executed by the processor 12. The modules referred to herein are a series of computer program instruction segments that are capable of performing specific functions, rather than programs, that describe the execution of software in the tool feedback control system 100. In other embodiments, the receiving module 101, the association relation determining module 102, the first transforming module 103, the calculating module 104, the second transforming module 105, the compensation strategy determining module 106, the sending module 107 and the reminding module 108 are program segments or codes embedded or solidified in the processor 12 of the tool feedback control device 1.
The receiving module 101 receives a first profile parameter and a second profile parameter of a workpiece.
In this embodiment, the receiving module 101 receives the association relationship between the first profile parameter detected by the first measuring machine 2 as being formed by the workpiece and the second profile parameter detected by the second measuring machine 3 as being formed by the workpiece through the communicator 11. Specifically, the first measuring machine 2 and the second measuring machine 3 may be a three-dimensional metrology device or a CNC machine. In this embodiment, the first measuring machine 2 is a CNC machine including a first probe for detecting a first profile parameter of the workpiece, and the second measuring machine 3 is a three-dimensional measuring device for detecting a second profile parameter of the workpiece.
The association relation determining module 102 determines an association relation between the first profile parameter and the second profile parameter.
The first transformation module 103 transforms the first contour parameter and the second contour through a first variable transformation based on the association relationship between the first contour parameter and the second contour parameter to obtain a transformation parameter.
The calculation module 104 inputs the transformation parameters into a tool compensation calculation model to form a tool compensation value.
The second transformation module 105 transforms the tool compensation value based on a second variable transformation to obtain a tool compensation parameter.
The compensation strategy determining module 106 determines a tool compensation strategy according to the tool compensation parameter and a preset compensation decision condition.
The sending module 107 sends the tool compensation strategy to the machine 4 so that the machine 4 compensates the tool of the machine 4 according to the tool compensation strategy.
In this embodiment, the association relation determining module 102 determines that the first profile parameter is a first profile type and determines that the second profile parameter is a second profile type; and determining an association relationship between the first contour parameter and the second contour parameter according to the relationship between the first contour type, the second contour type and a preset contour type, wherein the association relationship is that the second contour parameter is influenced by linkage after tool compensation is carried out on the first contour parameter.
In this embodiment, the contour parameter of the workpiece is an attribute value of the contour type of the workpiece. Specifically, the first profile parameter and the second profile parameter of the workpiece may be an inner width value, an inner length value, a hole width value, a hole length value, and a hole diameter value of a housing frame of the workpiece, and the corresponding profile types are an inner width, an inner length, a hole width, a hole length, and a hole diameter of the housing frame of the workpiece, respectively. For example, the first profile parameter of the workpiece received through the communicator 11 is 15 cm, the corresponding profile type, i.e., the first profile type, is the inner length of the housing frame, the second profile parameter of the workpiece received through the communicator is 5 cm, and the corresponding profile type, i.e., the second profile type, is the inner width of the housing frame. Specifically, the information of the first measuring machine 2 received by the communicator 11 may also carry an identification of the first profile parameter, such as F1, in addition to the first profile parameter of 15 cm. The information received by the communicator 11 from the second measuring machine 3 may also carry, in addition to the second profile parameter of 5 cm, an identification of the second profile parameter, for example F2.
The association relation determining module 102 determines that the first profile parameter is a first profile type and the second profile parameter is a second profile type, and specifically, the profile type may be determined by combining a preset profile type mapping table and a preset identifier of the profile parameter, for example, by querying the profile type mapping table through the identifier F1 of the first profile parameter, it is known that the type of the first profile parameter is the inner length of the housing frame, and by querying the profile type mapping table through the identifier F2 of the second profile parameter, it is known that the type of the second profile parameter is the inner width of the housing frame.
In other embodiments, the profile types of the first profile parameter and the second profile parameter may be determined in other ways. For example, in the information of the first measuring machine 2 or the second measuring machine 3 received by the communicator 11, in addition to carrying the first profile parameter or the second profile parameter, the information may also carry the profile type corresponding to the first profile parameter or the second profile parameter, and the association relation determining module 102 may directly obtain the profile type corresponding to the first profile parameter or the second profile parameter.
In this embodiment, the association relation determining module 102 determines an association relation between the first profile parameter and the second profile parameter according to a relation between the first profile type, the second profile type, and a preset profile type, where the association relation is that the second profile parameter is affected by linkage after tool compensation is performed on the first profile parameter.
In the present embodiment, the preset profile type relationship is exemplarily shown in table one.
Watch 1
Figure BDA0002786390860000091
The preset profile type relationship comprises a plurality of first profile types, a plurality of second profile types and a plurality of incidence relationships, and the corresponding relationships among the first profile types, the second profile types and the incidence relationships are defined. In this embodiment, the correlation is a constraint relationship between the first profile parameter and the second profile parameter. The constraint relation means that when the processing tool corresponding to the first profile parameter or the second profile parameter is adjusted in the process of processing the workpiece, the second profile parameter or the first profile parameter can be correspondingly changed.
The association relationship of the two profile types may include a multi-point association and a single-point association. Continuing with the description with reference to table one as an example, for example, the first profile type is the inner width of the housing frame, the second profile type is the inner length of the housing frame, and the third profile type is the distance from the housing frame to the middle plate, and the correlation relationship between the inner width of the housing frame, the inner length of the housing frame, and the distance from the housing frame to the middle plate is a multipoint correlation. When the inner width of the shell frame is processed, the size of the inner width of the processed shell frame has deviation, parameters of a corresponding cutter need to be adjusted, after the cutter is adjusted, the size of the inner width of the processed shell frame changes, and the sizes of other contour types in the multipoint incidence relation are also influenced, namely the inner length of the shell frame and the distance from the shell frame to the middle plate also change. If the first profile type is the width of the hole A, the second profile type is the width of the hole B, and the association relationship between the first profile type and the second profile type is single association, namely, in the machining process, after the cutter parameters corresponding to the width of the hole A are adjusted, the size of the machined hole B can be influenced in a linkage mode.
In this embodiment, after the association relationship between the first profile parameter and the second profile parameter is determined, the first transformation is performedThe module 103 is represented by the formula y ═ Σ eixiPerforming a first variable transformation to obtain a transformation parameter y, wherein xiIs the ith profile parameter, eiIs xiI is 2. Wherein the weight eiCorresponding to the ith profile parameter xiIs positively correlated with the importance of the ith profile parameter xiThe importance ratio of all the contour parameters. For example, if the importance of the first profile parameter is denoted as a and the importance of the second profile parameter is denoted as b, the weight e of the first profile parameter is1Is a/(a + b), the weight e of the second profile parameter2Is b/(a + b). The tool feedback control device 1 uses the formula y ═ e1·x1+e2·x2And calculating to obtain the transformation parameters. It should be noted that multiple measurements can be performed on the same profile type to obtain multiple measurement values, and further, the average value of the multiple measurement values is taken as a profile parameter, and then the first variable transformation is performed.
Specifically, for example, the first profile parameter type is a hole width a, the second profile parameter type is a hole width B, and the correlation relationship between the hole width a and the hole width B is a single correlation dimension. The size of the a-hole width was measured three times and the measurements obtained are shown in table two.
Watch two
Type of contour Measured value (unit: mm)
Width of A hole 10.1
Width of A hole 10
Width of A hole 9.9
The size of the B hole width was measured three times and the measurements obtained are shown in table three.
Watch III
Type of contour Measured value (unit: mm)
Width of B hole 4.8
Width of B hole 5
Width of B hole 5.2
And summing and averaging the multiple measured values of the A hole width to obtain a mean value of 10 mm of the A hole width dimension as a first profile parameter to be input into the first variable transformation calculation. And summing and averaging the multiple measured values of the width of the B hole to obtain a mean value of 5 mm of the width dimension of the B hole, wherein the mean value is used as a second profile parameter to be input into the first variable transformation calculation.
Further, assuming a predetermined significant ratio of A hole width to B hole width of 1:3, the weight of A hole width is 0.25 and the weight of A hole width is 0.75 in the first variable transformation. The first transformation module 103 transforms the signal into a second transformation module by the formula y ═ eixiThe first variable transformation of the a and B pore width values yields a transformation parameter y, i.e. y is 0.25 x 10+0.75 x 5, which is 6.25 mm.
In this embodiment, the calculation module 104 inputs the transformation parameter y into a tool compensation calculation model to form a tool compensation value, where the tool compensation calculation model is a time sequence model constructed according to a profile parameter set, and the profile parameter set includes a set of transformation parameters obtained by transforming a first profile parameter and a second profile parameter, which are formed by historically detecting the workpiece, by a first variable.
In this embodiment, the calculating module 104 obtains the profile parameter set and a tool compensation value set corresponding to the profile parameter set; combining the contour parameter set and the cutter compensation value set to form a cutter compensation time sequence; segmenting the cutter compensation time sequence to form metadata; forming a set of weights based on the metadata; and adjusting the cutter compensation time sequence according to the weight group to form the cutter compensation calculation model for cutter compensation.
In this embodiment, when forming a weight group according to the metadata, the calculation module 104 forms an amplitude value according to the metadata, where the amplitude value is used for smoothing the interpolation time series; marking the amplitude value to form a marked value; forming a trend index of the cutter compensation time sequence according to the marking value; judging that the trend index is stable to form a judgment result; forming a tool compensation initial model according to the trend index and the judgment result; and forming a weight group according to the cutter compensation initial model.
In a specific embodiment, the tool compensation calculation model is a differential integrated moving average autoregressive model ARIMA (p, d, q). When the shim time sequence is segmented to form metadata, the calculation module 104 determines whether the metadata of the shim time sequence is stable, and when the metadata is not stable, performs differential operation on the metadata to obtain an amplitude value, and forms a time sequence after differential by the amplitude value to realize the stabilization of the shim time sequence. In this embodiment, the calculation module 104 determines that the metadata is not stable when determining that the metadata in the adjacent time period exceeds the preset value by determining whether the variation of the metadata in the adjacent time period exceeds the preset value. For example, the interpolation values of two metadata in two adjacent time periods are 1 and-2, respectively, the preset value is 2, and since the variation between the interpolation values of two metadata in two adjacent time periods is 1- (-2) ═ 3, which is greater than the preset value 2, the metadata is determined to be unstable.
The calculation module 104 further determines whether the amplitude and amplitude values converge, and further performs a differential operation on the differentiated time series until the differential operation result of the amplitude and amplitude values converges when the amplitude and amplitude values do not converge. The calculating module 104 uses the number of times of difference operation performed on the metadata as the difference order d of the tool compensation calculation model. In this embodiment, when determining whether the amplitude value of the differentiated time series converges, the calculation module 104 marks the amplitude value to form a marked value; calculating a mathematical statistic (namely a mathematical statistic) of the mark value, and taking the mathematical statistic of the mark value as a trend index of the cutter compensation time series; judging whether the mathematical statistic value is smaller than a critical value of a preset confidence coefficient; determining that the time series after the difference is converged when the mathematical statistic is less than a critical value of a preset confidence, and determining that the time series after the difference is not converged when the mathematical statistic is greater than or equal to the critical value of the preset confidence, that is, determining that the trend index is stable when the mathematical statistic is less than the critical value of the preset confidence, and determining that the trend index is unstable when the mathematical statistic is greater than or equal to the critical value of the preset confidence. For example, the schematic data of the interpolation time series is ((10,20,30,40), (1, -2,3, -4)) per hour, where (10,20,30,40) represents a contour parameter set, and (1, -2,3, -4) represents a interpolation set formed by corresponding interpolation values, and if segmentation is performed by one hour, two adjacent metadata after segmentation may be (10,1) and (20, -2), 10 to 20 are increased for the contour parameter, and the index value is +10, and 1 to-2 are decreased for the interpolation value, and the index value is-3. In the present embodiment, when obtaining the mathematical statistic of the flag value, the mathematical statistic of the flag value is obtained by summing or averaging. For example, after segmenting the complementary time sequence, the metadata for each segment identifies a tag value of +2, -3, -1, +1, and the resulting tag value is summed (+2) + (-3) + (-1) + (+1) to obtain a mathematical statistic of + 1. The critical value of the preset confidence coefficient is + 2. Since the mathematical statistic value of the mark value is +1 smaller than the critical value +2 of the preset confidence level, it can be determined that the time series after the difference is converged, that is, it is determined that the trend index is stable.
In this embodiment, when the time series after the difference converges, the calculation module 104 constructs a tool compensation initial model according to the time series after the difference, and forms the weight set according to the difference order d of the tool compensation calculation model and the tool compensation initial model. Specifically, the calculating module 104 performs autocorrelation operation on the differentiated time series to obtain an autocorrelation graph ACF map, and performs partial correlation operation on the differentiated time series to obtain a partial correlation graph PACF map, where the autocorrelation graph ACF map is used to represent a correlation between the differentiated time series, and the partial correlation graph PACF map is used to represent a correlation degree between a contour parameter and a compensation value; respectively judging whether the ACF image and the PACF image are trailing or truncated; and determining the cutter compensation initial model according to the judgment result. In this embodiment, when the ACF diagram of the time series after the difference is a trailing graph and the PACF diagram is a truncated graph, it is determined that the interpolation initial model is an autoregressive model (i.e., an AR model); determining the shim initial model as a moving average model (i.e., MA model) when the differential time series ACF map is truncated and the PACF map is trailing; and when the ACF graph and the PACF graph of the differentiated time series are both trailing, determining that the knife-compensated initial model is an autoregressive moving average model (ARMA model).
In this embodiment, when the weight set is formed according to the tool compensation initial model, the calculation module 104 determines the number P of autoregressive terms and/or the number Q of moving average terms of the tool compensation initial model according to an equatorial information criterion (AIC criterion) and a bayesian criterion (BIC criterion), and uses the difference order d of the tool compensation calculation model and the number P of autoregressive terms and/or the number Q of moving average terms of the tool compensation initial model as the weight set of the tool compensation calculation model. In this embodiment, the calculating module 104 calculates an AIC value and a BIC value according to an equatorial information criterion and a bayesian criterion, and determines the number P of autoregressive terms and/or the number Q of moving average terms corresponding to the minimal AIC value and BIC value as the number P of autoregressive terms and/or the number Q of moving average terms of the interpolation initial model.
The calculation module 104 constructs a tool compensation calculation model based on the profile parameter set of the workpiece and the tool compensation value set, inputs the detected profile parameter y of the workpiece into the tool compensation calculation model to form a tool compensation value z corresponding to the profile parameter of the workpiece, and controls the machine table 4 to automatically compensate the tool according to the tool compensation value, thereby reducing the consumption of manpower, improving the working efficiency of technicians and stabilizing the yield of the processed workpiece.
In this embodiment, after determining the tool compensation value, the second transformation module 105 transforms the tool compensation value through second transformation to obtain a first tool compensation parameter and a second tool compensation parameter. In this embodiment, the first tool compensation parameter is used for tool compensation with respect to the first profile parameter, and the second tool compensation parameter is used for tool compensation with respect to the second profile parameter.
In this embodiment, the second transformation module 105 transforms the tool compensation value through a second variable transformation that is inverse to the first variable transformation to obtain a first tool compensation parameter and a second tool compensation parameter. Specifically, the tool feedback control device 1 uses the formula z ═ Σ eiziCarrying out second variable transformation on the tool compensation value z to obtain a first tool compensation parameter z1And a second tool compensation parameter z2Wherein z isiFor the ith tool compensation parameter, eiIs ziThe weight of (1), i is 2, and z is the tool compensation value. Wherein the weight eiCorresponding to the i-th tool compensation parameter ziIs the i-th tool compensation parameter ziThe importance degree ratio of all the tool compensation parameters.
In an embodiment, the second transformation module 105 determines a tool compensation weight for the first profile type and the second profile type; and decomposing the cutter compensation value in proportion based on the cutter compensation proportion to obtain the first cutter compensation parameter and the second cutter compensation parameter. For example, the tool feedback control device 1 determines that the tool compensation specific gravities of the first profile type and the second profile type are c and d, respectively, wherein the sum of c and d is 1, and the tool feedback control device 1 divides the tool compensation value in proportion based on the tool compensation specific gravity to obtain the first tool compensation parameter c x z and the second tool compensation parameter d x z, wherein z is the tool compensation value.
In this embodiment, after determining the tool compensation parameter, the compensation strategy determining module 106 determines that the compensation priority of the tool with the first profile type is higher than the compensation priority of the tool with the second profile type; keeping the first tool compensation parameter unchanged based on the fact that the compensation priority of the tool of the first profile type is higher than the compensation priority of the tool of the second profile type, and adjusting the second tool compensation parameter based on the tool compensation value and the first tool compensation parameter; the first tool compensation parameter is used for compensating the tool of the first profile parameter, and the adjusted second tool compensation parameter is used for compensating the tool of the second profile parameter. Specifically, if the compensation strategy determining module 106 determines that the compensation priority of the tool of the first profile type is higher than the compensation priority of the tool of the second profile type, the compensation parameter of the first tool is kept unchanged, the difference between the tool compensation value and the first tool compensation parameter is calculated, and the difference is used as the adjusted second tool compensation parameter; the first tool compensation parameter is used for compensating the tool with the first profile parameter, and the adjusted second tool compensation parameter is used for compensating the tool with the second profile parameter.
In an embodiment, when the compensation strategy determining module 106 determines that the compensation priority of the tool of the first profile type is higher than the compensation priority of the tool of the second profile type, the compensation strategy determining module 106 keeps the first tool compensation parameter unchanged, calculates a difference between the tool compensation value and the first tool compensation parameter, and uses one value in a preset range with the difference as a center as an adjusted second tool compensation parameter; the first tool compensation parameter is used for compensating the tool with the first profile parameter, and the adjusted second tool compensation parameter is used for compensating the tool with the second profile parameter.
Further, the compensation strategy determining module 106 further determines a tool compensation strategy by combining a tool compensation parameter and a preset rule, for example, the tool compensation parameter of the first profile parameter a hole width is 0.01, the tuning mode preset rule is that if the measured value is larger than the standard value, the coordinate direction of the tool compensation is the forward direction, and if the measured average value of the a hole width is 10 mm, and the standard value is 9.8 mm, the tool compensation strategy is: 0.01, the tuning direction is the positive direction.
In this embodiment, after determining the tool compensation strategy, the sending module 107 sends the tool compensation strategy to the machine 4 so that the machine 4 compensates the tool of the machine 4 according to the tool compensation strategy. In this embodiment, the reminding module 108 is configured to determine that the tool compensation value exceeds a preset threshold, and form a difference between the tool compensation value and the preset threshold; forming an abnormal grade according to the difference value; and forming a stop instruction according to the exception grade.
In this embodiment, the reminding module 108 calculates a difference between the tool compensation value and a preset threshold when determining that the tool compensation value exceeds the preset threshold, and determines whether the difference exceeds the preset difference. When the difference exceeds a preset difference, the reminding module 108 forms an abnormal grade, forms a stopping instruction according to the abnormal grade, and sends the stopping instruction to the machine table 4, so that the machine table 4 performs a machine operation according to the stopping instruction and gives an alarm in a preset alarm mode.
In the application, the alarm processing is carried out when the difference value between the cutter compensation value and the preset threshold value exceeds the preset difference value, so that the serious abnormal condition of the cutter of the machine table 4 can be found in time. For example, when the difference between the tool compensation value and the preset threshold is 2cm, and the preset difference is 1cm, since the difference between the tool compensation value and the preset threshold exceeds the preset difference, the tool feedback control device 1 forms an abnormal level and a stop instruction according to the abnormal level, and sends the stop instruction to the machine 4, and the machine 4 receives the stop instruction and then gives an alarm in preset alarm manners such as flashing a lamp, sending voice information, or displaying a dialog box, so that the machine 4 can find the serious abnormal condition of the tool of the machine 4 in time.
Referring to fig. 3, a flowchart of a tool feedback control method according to an embodiment of the present application is shown. The order of the steps in the flow chart may be changed, and some steps may be omitted or combined according to different requirements. The method comprises the following steps.
Step 301, receiving a first profile parameter and a second profile parameter of a workpiece.
In the present embodiment, the tool feedback control device 1 receives a correlation between a first profile parameter obtained by detecting the formation of a workpiece by the first measuring machine 2 and a second profile parameter obtained by detecting the formation of the workpiece by the second measuring machine 3. Specifically, the first measuring machine 2 and the second measuring machine 3 may be a three-dimensional metrology device or a CNC machine. In this embodiment, the first measuring machine 2 is a CNC machine including a first probe for detecting a first profile parameter of the workpiece. The second measuring machine 3 is a three-dimensional measuring device, and the three-dimensional measuring device detects a second profile parameter of the workpiece.
Step 302, determining the association relationship between the first profile parameter and the second profile parameter.
Step 303, based on the correlation between the first contour parameter and the second contour parameter, transforming the first contour parameter and the second contour through a first variable transformation to obtain a transformation parameter.
And step 304, inputting the transformation parameters into a tool compensation calculation model to form a tool compensation value.
Step 305, transforming the tool compensation value based on the second variable transformation to obtain a tool compensation parameter.
And step 306, determining a tool compensation strategy according to the tool compensation parameters and preset compensation decision conditions.
And 307, compensating the cutter of the machine table 4 according to the cutter compensation strategy.
In this embodiment, the determining the correlation between the first profile parameter obtained by detecting the formation of the workpiece by the first measuring machine 2 and the second profile parameter obtained by detecting the formation of the workpiece by the second measuring machine 3 includes: determining the first profile parameter as a first profile type and determining the second profile parameter as a second profile type; and determining an association relationship between the first contour parameter and the second contour parameter according to the relationship between the first contour type, the second contour type and a preset contour type, wherein the association relationship is that the second contour parameter is influenced by linkage after tool compensation is carried out on the first contour parameter.
In this embodiment, the contour parameter of the workpiece is an attribute value of the contour type of the workpiece. Specifically, the first profile parameter and the second profile parameter of the workpiece may be an inner width value, an inner length value, a hole width value, a hole length value, and a hole diameter value of a housing frame of the workpiece, and the corresponding profile types are an inner width, an inner length, a hole width, a hole length, and a hole diameter of the housing frame of the workpiece, respectively. For example, the first profile parameter of the workpiece received through the communicator 11 is 15 cm, the corresponding profile type, i.e., the first profile type, is the inner length of the housing frame, the second profile parameter of the workpiece received through the communicator is 5 cm, and the corresponding profile type, i.e., the second profile type, is the inner width of the housing frame. Specifically, the information of the first measuring machine 2 received by the communicator 11 may also carry an identification of the first profile parameter, such as F1, in addition to the first profile parameter of 15 cm. The information received by the communicator 11 from the second measuring machine 3 may also carry, in addition to the second profile parameter of 5 cm, an identification of the second profile parameter, for example F2.
The tool feedback control device 1 determines that the first profile parameter is a first profile type and the second profile parameter is a second profile type, and specifically, the profile type may be determined by combining a preset profile type mapping table and a profile parameter identifier, for example, by querying the profile type mapping table through the first profile parameter identifier F1, it is known that the first profile parameter type is the inner length of the housing frame, and by querying the profile type mapping table through the second profile parameter identifier F2, it is known that the second profile parameter type is the inner width of the housing frame.
In other embodiments, the profile types of the first profile parameter and the second profile parameter may be determined in other ways. For example, the information of the first measuring machine 2 or the second measuring machine 3 received by the communicator 11 may carry the profile type corresponding to the first profile parameter or the second profile parameter in addition to the first profile parameter or the second profile parameter, and the tool feedback control device 1 may directly obtain the profile type corresponding to the first profile parameter or the second profile parameter.
In this embodiment, the tool feedback control device 1 determines an association relationship between the first profile parameter and the second profile parameter according to the relationship between the first profile type, the second profile type and a preset profile type, where the association relationship is that the second profile parameter is affected by tool compensation on the first profile parameter in a linkage manner. In the present embodiment, for example, the preset profile type relationship is as shown in the above table one.
The preset profile type relationship comprises a plurality of first profile types, a plurality of second profile types and a plurality of incidence relationships, and the corresponding relationships among the first profile types, the second profile types and the incidence relationships are defined. In this embodiment, the correlation is a constraint relationship between the first profile parameter and the second profile parameter. The constraint relation means that when the processing tool corresponding to the first profile parameter or the second profile parameter is adjusted in the process of processing the workpiece, the second profile parameter or the first profile parameter can be correspondingly changed.
The association relationship of the two profile types may include a multi-point association and a single-point association. Continuing with the description with reference to table one as an example, for example, the first profile type is the inner width of the housing frame, the second profile type is the inner length of the housing frame, and the third profile type is the distance from the housing frame to the middle plate, and the correlation relationship between the inner width of the housing frame, the inner length of the housing frame, and the distance from the housing frame to the middle plate is a multipoint correlation. When the inner width of the shell frame is processed, the size of the inner width of the processed shell frame has deviation, parameters of a corresponding cutter need to be adjusted, after the cutter is adjusted, the size of the inner width of the processed shell frame changes, and the sizes of other contour types in the multipoint incidence relation are also influenced, namely the inner length of the shell frame and the distance from the shell frame to the middle plate also change. If the first profile type is the width of the hole A, the second profile type is the width of the hole B, and the association relationship between the first profile type and the second profile type is single association, namely, in the machining process, after the cutter parameters corresponding to the width of the hole A are adjusted, the size of the machined hole B can be influenced in a linkage mode.
In this embodiment, after the correlation between the first profile parameter and the second profile parameter is determined, the tool feedback control device 1 uses the formula y ═ Σ eixiPerforming a first variable transformation to obtain a transformation parameter y, wherein xiIs the ith profile parameter, eiIs xiI is 2. Wherein the weight eiCorresponding to the ith profile parameter xiIs positively correlated with the importance of the ith profile parameter xiThe importance ratio of all the contour parameters. For example, if the importance of the first profile parameter is denoted as a and the importance of the second profile parameter is denoted as b, the weight e of the first profile parameter is1Is a/(a + b), the weight e of the second profile parameter2Is b/(a + b). The tool feedback control device 1 uses the formula y ═ e1·x1+e2·x2And calculating to obtain the transformation parameters.
It should be noted that multiple measurements can be performed on the same profile type to obtain multiple measurement values, and further, the average value of the multiple measurement values is taken as a profile parameter, and then the first variable transformation is performed. Specifically, for example, the first profile parameter type is a hole width a, the second profile parameter type is a hole width B, and the correlation relationship between the hole width a and the hole width B is a single correlation dimension. Three measurements were made of the width of the a hole and the measurements were as shown in table two above. Three measurements were made of the B hole width dimension and the resulting measurements are shown in table three above.
And summing and averaging the multiple measured values of the A hole width to obtain a mean value of 10 mm of the A hole width dimension as a first profile parameter to be input into the first variable transformation calculation. And summing and averaging the multiple measured values of the width of the B hole to obtain a mean value of 5 mm of the width dimension of the B hole, wherein the mean value is used as a second profile parameter to be input into the first variable transformation calculation.
Further, assuming a predetermined significant ratio of A hole width to B hole width of 1:3, the weight of A hole width is 0.25 and the weight of A hole width is 0.75 in the first variable transformation. The first transformation module 103 transforms the signal into a second transformation module by the formula y ═ eixiThe first variable transformation of the a and B pore width values yields a transformation parameter y, i.e. y is 0.25 x 10+0.75 x 5, which is 6.25 mm. In this embodiment, the tool feedback control device 1 inputs the transformation parameter y into a tool compensation calculation model to form a tool compensation value, wherein the tool compensation calculation model is a time series model constructed according to a profile parameter set, and the profile parameter set includes a set of transformation parameters obtained by transforming a first profile parameter and a second profile parameter, which are formed by historically detecting the workpiece, by a first variable transformation.
In this embodiment, the tool feedback control device 1 obtains the profile parameter set and a tool compensation value set corresponding to the profile parameter set; combining the contour parameter set and the cutter compensation value set to form a cutter compensation time sequence; segmenting the cutter compensation time sequence to form metadata; forming a set of weights based on the metadata; and adjusting the cutter compensation time sequence according to the weight group to form the cutter compensation calculation model for cutter compensation.
In this embodiment, when forming a weight group from the metadata, the tool feedback control apparatus 1 forms an amplitude value for smoothing the tool complement time series from the metadata; marking the amplitude value to form a marked value; forming a trend index of the cutter compensation time sequence according to the marking value; judging that the trend index is stable to form a judgment result; forming a tool compensation initial model according to the trend index and the judgment result; and forming a weight group according to the cutter compensation initial model.
In a specific embodiment, the tool compensation calculation model is a differential integrated moving average autoregressive model ARIMA (p, d, q). When the tool compensation time sequence is segmented to form metadata, the tool feedback control device 1 judges whether the metadata of the tool compensation time sequence is stable, when the metadata is not stable, the metadata is subjected to differential operation to obtain an amplitude value, and the amplitude value is added to form a time sequence after differential so as to realize the stability of the tool compensation time sequence. In this embodiment, the tool feedback control apparatus 1 determines that the metadata is not stable when it is determined that the metadata in the adjacent time period exceeds the preset value by determining whether the variation of the metadata in the adjacent time period exceeds the preset value. For example, the interpolation values of two metadata in two adjacent time periods are 1 and-2, respectively, the preset value is 2, and since the variation between the interpolation values of two metadata in two adjacent time periods is 1- (-2) ═ 3, which is greater than the preset value 2, the metadata is determined to be unstable.
The tool feedback control device 1 further determines whether the amplitude and amplitude values converge, and further performs a differential operation on the differentiated time series until a differential operation result of the amplitude and amplitude values converges when the amplitude and amplitude values do not converge. The tool feedback control device 1 uses the number of times of difference operation performed on the metadata as the difference order d of the tool compensation calculation model. In this embodiment, when determining whether the amplitude value of the time series after the difference converges, the tool feedback control apparatus 1 marks the amplitude value to form a mark value; calculating a mathematical statistic (namely a mathematical statistic) of the mark value, and taking the mathematical statistic of the mark value as a trend index of the cutter compensation time series; judging whether the mathematical statistic value is smaller than a critical value of a preset confidence coefficient; determining that the time series after the difference is converged when the mathematical statistic is less than a critical value of a preset confidence, and determining that the time series after the difference is not converged when the mathematical statistic is greater than or equal to the critical value of the preset confidence, that is, determining that the trend index is stable when the mathematical statistic is less than the critical value of the preset confidence, and determining that the trend index is unstable when the mathematical statistic is greater than or equal to the critical value of the preset confidence. For example, the schematic data of the interpolation time series is ((10,20,30,40), (1, -2,3, -4)) per hour, where (10,20,30,40) represents a contour parameter set, and (1, -2,3, -4) represents a interpolation set formed by corresponding interpolation values, and if segmentation is performed by one hour, two adjacent metadata after segmentation may be (10,1) and (20, -2), 10 to 20 are increased for the contour parameter, and the index value is +10, and 1 to-2 are decreased for the interpolation value, and the index value is-3. In the present embodiment, when obtaining the mathematical statistic of the flag value, the mathematical statistic of the flag value is obtained by summing or averaging. For example, after segmenting the complementary time sequence, the metadata for each segment identifies a tag value of +2, -3, -1, +1, and the resulting tag value is summed (+2) + (-3) + (-1) + (+1) to obtain a mathematical statistic of + 1. The critical value of the preset confidence coefficient is + 2. Since the mathematical statistic value of the mark value is +1 smaller than the critical value +2 of the preset confidence level, it can be determined that the time series after the difference is converged, that is, it is determined that the trend index is stable.
In this embodiment, when the time series after the difference converges, the tool feedback control device 1 constructs a tool compensation initial model according to the time series after the difference, and forms the weight set according to the difference order d of the tool compensation calculation model and the tool compensation initial model. Specifically, the tool feedback control device 1 performs autocorrelation calculation on the time series after the difference to obtain an autocorrelation graph ACF diagram, and performs partial correlation calculation on the time series after the difference to obtain a partial correlation graph PACF diagram, where the autocorrelation graph ACF diagram is used to represent a correlation between the time series after the difference, and the partial correlation graph PACF diagram is used to represent a correlation degree between a profile parameter and a compensation value; respectively judging whether the ACF image and the PACF image are trailing or truncated; and determining the cutter compensation initial model according to the judgment result. In this embodiment, when the ACF diagram of the time series after the difference is a trailing graph and the PACF diagram is a truncated graph, it is determined that the interpolation initial model is an autoregressive model (i.e., an AR model); determining the shim initial model as a moving average model (i.e., MA model) when the differential time series ACF map is truncated and the PACF map is trailing; and when the ACF graph and the PACF graph of the differentiated time series are both trailing, determining that the knife-compensated initial model is an autoregressive moving average model (ARMA model).
In the present embodiment, when the weight set is formed based on the tool compensation initial model, the tool feedback control device 1 determines the number P of autoregressive terms and/or the number Q of moving average terms of the tool compensation initial model based on an equatorial information criterion (AIC criterion) and a bayesian criterion (BIC criterion), and uses the difference order d of the tool compensation calculation model and the number P of autoregressive terms and/or the number Q of moving average terms of the tool compensation initial model as the weight set of the tool compensation calculation model. In the present embodiment, the tool feedback control device 1 calculates an AIC value and a BIC value based on an equatorial information criterion and a bayesian criterion, and determines the number P of autoregressive terms and/or the number Q of moving average terms corresponding to the minimum AIC value and the minimum BIC value as the number P of autoregressive terms and/or the number Q of moving average terms of the tool compensation initial model.
The tool feedback control device 1 constructs a tool compensation calculation model based on the profile parameter set of the workpiece and the tool compensation value set, inputs the detected profile parameter y of the workpiece into the tool compensation calculation model to form a tool compensation value z corresponding to the profile parameter of the workpiece, and controls the machine table 4 to automatically compensate the tool according to the tool compensation value, thereby reducing the consumption of manpower, improving the working efficiency of technicians and stabilizing the yield of the processed workpiece.
In this embodiment, after determining the tool compensation value, the tool feedback control device 1 transforms the tool compensation value through a second transformation to obtain a first tool compensation parameter and a second tool compensation parameter. In this embodiment, the first tool compensation parameter is used for tool compensation with respect to the first profile parameter, and the second tool compensation parameter is used for tool compensation with respect to the second profile parameter.
In this embodiment, the tool feedback control device 1 transforms the tool compensation value through a second transformation to obtain a first tool compensation parameter and a second tool compensation parameter, and includes: the tool feedback control device 1 transforms the tool compensation value through a second variable transformation which is inverse to the first variable transformation to obtain a first tool compensation parameter and a second tool compensation parameter. Specifically, the tool feedback control device 1 uses the formula z ═ Σ eiziPerforming a second variable transformation on the tool compensation value to obtain a first tool compensation parameter and a second tool compensation parameter, wherein ziFor the ith tool compensation parameter, eiIs ziThe weight of (1), i is 2, and z is the tool compensation value. Wherein the weight eiCorresponding to the i-th tool compensation parameter ziIs the i-th tool compensation parameter ziThe importance degree ratio of all the tool compensation parameters.
In one embodiment, the tool feedback control device 1 transforms the tool compensation value through a second transformation to obtain a first tool compensation parameter and a second tool compensation parameter, and includes: the tool feedback control device 1 determines the tool compensation specific gravity of the first profile type and the second profile type; and decomposing the cutter compensation value in proportion based on the cutter compensation proportion to obtain the first cutter compensation parameter and the second cutter compensation parameter. For example, the tool feedback control device 1 determines that the tool compensation specific gravities of the first profile type and the second profile type are c and d, respectively, wherein the sum of c and d is 1, and the tool feedback control device 1 divides the tool compensation value in proportion based on the tool compensation specific gravity to obtain the first tool compensation parameter c x z and the second tool compensation parameter d x z, wherein z is the tool compensation value.
In this embodiment, determining the tool compensation strategy according to the tool compensation parameter and the preset compensation decision condition includes: the tool feedback control device 1 determines that the compensation priority of the tool of the first profile type is higher than the compensation priority of the tool of the second profile type; keeping the first tool compensation parameter unchanged based on the fact that the compensation priority of the tool of the first profile type is higher than the compensation priority of the tool of the second profile type, and adjusting the second tool compensation parameter based on the tool compensation value and the first tool compensation parameter; the first tool compensation parameter is used for compensating the tool of the first profile parameter, and the adjusted second tool compensation parameter is used for compensating the tool of the second profile parameter. Specifically, if the tool feedback control device 1 determines that the compensation priority of the tool of the first profile type is higher than the compensation priority of the tool of the second profile type, the first tool compensation parameter is kept unchanged, the difference between the tool compensation value and the first tool compensation parameter is calculated, and the difference is used as the adjusted second tool compensation parameter; the first tool compensation parameter is used for compensating the tool with the first profile parameter, and the adjusted second tool compensation parameter is used for compensating the tool with the second profile parameter.
In one embodiment, the determining a tool compensation strategy according to the tool compensation parameter and a preset compensation decision condition includes: if the tool feedback control device 1 determines that the compensation priority of the tool of the first profile type is higher than the compensation priority of the tool of the second profile type, keeping the first tool compensation parameter unchanged, calculating a difference value between the tool compensation value and the first tool compensation parameter by the tool feedback control device 1, and taking a value in a preset range taking the difference value as a center as an adjusted second tool compensation parameter; the first tool compensation parameter is used for compensating the tool with the first profile parameter, and the adjusted second tool compensation parameter is used for compensating the tool with the second profile parameter.
Further, the tool feedback control device 1 further determines a tool compensation strategy by combining a tool compensation parameter and a preset rule, for example, the tool compensation parameter of the first profile parameter a hole width is 0.01, the preset rule of the tuning mode is that if the measured value is larger than the standard value, the coordinate direction of the tool compensation is the positive direction, and if the measured average value of the a hole width is 10 mm, and the standard value is 9.8 mm, the tool compensation strategy is as follows: 0.01, the tuning direction is the positive direction.
In this embodiment, after determining the tool compensation strategy, the tool feedback control device 1 sends the tool compensation strategy to the machine 4 so that the machine 4 compensates the tool of the machine 4 according to the tool compensation strategy.
In this embodiment, the tool feedback control device 1 is further configured to determine that the tool compensation value exceeds a preset threshold, and form a difference between the tool compensation value and the preset threshold; forming an abnormal grade according to the difference value; and forming a stop instruction according to the exception grade.
In this embodiment, when the tool feedback control device 1 determines that the tool compensation value exceeds the preset threshold, the difference between the tool compensation value and the preset threshold is calculated, and whether the difference exceeds the preset difference is determined. When the difference exceeds a preset difference, the tool feedback control device 1 forms an abnormal grade, forms a stop instruction according to the abnormal grade, and sends the stop instruction to the machine table 4, so that the machine table 4 performs a machine operation according to the stop instruction and gives an alarm in a preset alarm mode. In the application, the alarm processing is carried out when the difference value between the cutter compensation value and the preset threshold value exceeds the preset difference value, so that the serious abnormal condition of the cutter of the machine table 4 can be found in time. For example, when the difference between the tool compensation value and the preset threshold is 2cm, and the preset difference is 1cm, since the difference between the tool compensation value and the preset threshold exceeds the preset difference, the tool feedback control device 1 forms an abnormal level and a stop instruction according to the abnormal level, and sends the stop instruction to the machine 4, and the machine 4 receives the stop instruction and then gives an alarm in preset alarm manners such as flashing a lamp, sending voice information, or displaying a dialog box, so that the machine 4 can find the serious abnormal condition of the tool of the machine 4 in time.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is to be understood that the word "comprising" does not exclude other modules or steps, and the singular does not exclude the plural. Several modules or electronic devices recited in the electronic device claims may also be implemented by one and the same module or electronic device by means of software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present application and not for limiting, and although the present application is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present application without departing from the spirit and scope of the technical solutions of the present application.

Claims (18)

1. A tool feedback control device comprises:
a communicator that receives a first profile parameter and a second profile parameter of a workpiece; and
a processor coupled to the communicator and configured to:
determining the incidence relation between the first contour parameter and the second contour parameter;
based on the incidence relation between the first contour parameter and the second contour parameter, transforming the first contour parameter and the second contour through first variable transformation to obtain a transformation parameter;
inputting the transformation parameters into a tool compensation calculation model to form a tool compensation value;
converting the tool compensation value based on second variable conversion to obtain a tool compensation parameter;
determining a tool compensation strategy according to the tool compensation parameter and a preset compensation decision condition, wherein the tool compensation strategy is used for compensating a tool of a machine;
the communicator is further configured to send the tool compensation strategy to the machine.
2. The tool feedback control device of claim 1, wherein the processor is configured to determine the correlation between the first profile parameter and the second profile parameter by:
determining that the first profile parameter is a first profile type and the second profile parameter is a second profile type;
and determining an association relationship between the first contour parameter and the second contour parameter according to the relationship conditions of the first contour type, the second contour type and a preset contour type, wherein the association relationship is that the second contour parameter is influenced by linkage after tool compensation is carried out on the first contour parameter.
3. The tool feedback control device of claim 1 wherein the first profile parameter and the second profile parameter are transformed by a first variable transformation, the processor being configured to:
passing the first profile parameter and the second profile parameter through the formula y ═ Σ eixiPerforming a first variable transformation to obtain a transformation parameter y, wherein xiIs the ith profile parameter, eiIs xiThe weight of (2).
4. The tool feedback control device of claim 3 wherein the weight e isiCorresponding to the ith profile parameter xiIs positively correlated with the degree of importance ofThe importance is the ith profile parameter xiThe importance ratio of all the contour parameters.
5. The tool feedback control device of claim 1 wherein the first variable transform and the second variable transform are inverse transforms.
6. The tool feedback control device of claim 1, wherein the first profile parameter is of a first profile type and the second profile parameter is of a second profile type, the tool compensation parameters comprise a first tool compensation parameter and a second tool compensation parameter, the first tool compensation parameter is for tool compensation with respect to the first profile parameter, the second tool compensation parameter is for tool compensation with respect to the second profile parameter, and the processor is further configured to:
determining that the compensation priority of the tool of the first profile type is high relative to the compensation priority of the tool of the second profile type;
keeping the first tool compensation parameter unchanged based on the compensation priority of the tool of the first profile type being higher than the compensation priority of the tool of the second profile type;
adjusting the second tool compensation parameter based on the tool compensation value and the first tool compensation parameter.
7. The tool feedback control device of claim 1, wherein the first profile parameter is of a first profile type, the second profile parameter is of a second profile type, the tool compensation parameter comprises a first tool compensation parameter and a second tool compensation parameter, the first tool compensation parameter is used for tool compensation of the first profile parameter, the second tool compensation parameter is used for tool compensation of the second profile parameter, the tool compensation value is transformed based on a second variable transformation to obtain a tool compensation parameter, and the processor is specifically configured to:
determining a tool compensation specific gravity for the first profile type and the second profile type;
and decomposing the cutter compensation value in proportion based on the cutter compensation proportion to obtain the first cutter compensation parameter and the second cutter compensation parameter.
8. The tool feedback control device of claim 1, wherein the processor is further configured to:
acquiring a profile parameter set and a tool compensation value set corresponding to the profile parameter set;
combining the contour parameter set and the cutter compensation value set to form a cutter compensation time sequence;
segmenting the cutter compensation time sequence to form metadata;
forming a set of weights based on the metadata;
and adjusting the cutter compensation time sequence according to the weight group to form the cutter compensation calculation model.
9. The tool feedback control device of claim 1, wherein the processor is further configured to:
judging that the cutter compensation value exceeds a preset threshold value, and forming a difference value between the cutter compensation value and the preset threshold value;
forming an abnormal grade according to the difference value;
and forming a stop instruction according to the exception grade.
10. A tool feedback control method comprises:
receiving a first profile parameter and a second profile parameter of a workpiece;
determining the incidence relation between the first contour parameter and the second contour parameter;
based on the incidence relation between the first contour parameter and the second contour parameter, transforming the first contour parameter and the second contour through first variable transformation to obtain a transformation parameter;
inputting the transformation parameters into a tool compensation calculation model to form a tool compensation value;
converting the tool compensation value based on second variable conversion to obtain a tool compensation parameter;
determining a tool compensation strategy according to the tool compensation parameters and a preset compensation decision condition; and
and compensating the cutter of the machine according to the cutter compensation strategy.
11. The tool feedback control method of claim 10, wherein the determining the correlation between the first profile parameter and the second profile parameter comprises:
determining that the first profile parameter is a first profile type and the second profile parameter is a second profile type;
and determining an association relationship between the first contour parameter and the second contour parameter according to the relationship conditions of the first contour type, the second contour type and a preset contour type, wherein the association relationship is that the second contour parameter is influenced by linkage after tool compensation is carried out on the first contour parameter.
12. The tool feedback control method of claim 10 wherein said transforming said first profile parameter and said second profile by a first variable transformation comprises:
passing the first profile parameter and the second profile parameter through the formula y ═ Σ eixiPerforming a first variable transformation to obtain a transformation parameter y, wherein xiIs the ith profile parameter, eiIs xiThe weight of (2).
13. The tool feedback control method of claim 12 wherein the weight e isiCorresponding to the ith profile parameter xiIs positively correlated with the importance of the ith profile parameter xiThe importance ratio of all the contour parameters.
14. The tool feedback control method of claim 10 wherein the first variable transform and the second variable transform are inverse transforms.
15. The tool feedback control method of claim 10, wherein the first profile parameter is of a first profile type and the second profile parameter is of a second profile type, the tool compensation parameters include a first tool compensation parameter and a second tool compensation parameter, the first tool compensation parameter is for tool compensation of the first profile parameter, the second tool compensation parameter is for tool compensation of the second profile parameter, the method further comprising:
determining that the compensation priority of the tool of the first profile type is high relative to the compensation priority of the tool of the second profile type;
keeping the first tool compensation parameter unchanged based on the compensation priority of the tool of the first profile type being higher than the compensation priority of the tool of the second profile type;
adjusting the second tool compensation parameter based on the tool compensation value and the first tool compensation parameter.
16. The tool feedback control method of claim 10, wherein the first profile parameter is a first profile type, the second profile parameter is a second profile type, the tool compensation parameter comprises a first tool compensation parameter and a second tool compensation parameter, the first tool compensation parameter is used for tool compensation of the first profile parameter, the second tool compensation parameter is used for tool compensation of the second profile parameter, and the transforming the tool compensation value based on the second variable transformation to obtain the tool compensation parameter comprises:
determining a tool compensation specific gravity for the first profile type and the second profile type;
and decomposing the cutter compensation value in proportion based on the cutter compensation proportion to obtain the first cutter compensation parameter and the second cutter compensation parameter.
17. The tool feedback control method of claim 10 wherein the tool compensation calculation model is a time series model constructed based on a set of profile parameters that historically measured at least one profile parameter formed by the workpiece, the method further comprising:
acquiring a profile parameter set and a cutter compensation value set corresponding to the profile parameter set;
combining the contour parameter set and the cutter compensation value set to form a cutter compensation time sequence;
segmenting the tool compensation time sequence to form metadata;
forming a set of weights based on the metadata;
and adjusting the cutter compensation time sequence according to the weight group to form the cutter compensation calculation model.
18. The tool feedback control method of claim 10, wherein the method further comprises:
judging that the cutter compensation value exceeds a preset threshold value, and forming a difference value between the cutter compensation value and the preset threshold value;
forming an abnormal grade according to the difference value;
and forming a stop instruction according to the exception grade.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113589755B (en) * 2021-09-30 2021-12-28 杭州数途信息科技有限公司 Intelligent debugging method and system based on optimized compensation
CN115494792B (en) * 2022-09-14 2023-06-23 磐吉奥科技股份有限公司 Part processing parameter compensation method and device, electronic equipment and readable storage medium

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW201026429A (en) * 2009-01-09 2010-07-16 Foxnum Technology Co Ltd Abrasion compensation system and method for cutting tools of numerical control machine
CN103149877A (en) * 2011-12-07 2013-06-12 沈阳黎明航空发动机(集团)有限责任公司 Numerical control machining method capable of guaranteeing machining command information to be correct
DE102017206931A1 (en) * 2017-04-25 2018-10-25 Dr. Johannes Heidenhain Gmbh Method for compensating the cutter displacement
CN109176168A (en) * 2018-10-15 2019-01-11 基准精密工业（惠州）有限公司 Tool sharpening tune machine device and method
CN110799915A (en) * 2017-05-26 2020-02-14 深圳配天智能技术研究院有限公司 Tool path compensation method and numerical control machine tool
WO2020075191A1 (en) * 2018-10-12 2020-04-16 Tata Consultancy Services Limited Method and system for monitoring tool wear to estimate rul of tool in machining
CN111113268A (en) * 2019-12-21 2020-05-08 福建省嘉泰智能装备有限公司 Cutter correction method and system for machine tool
CN111624944A (en) * 2020-06-16 2020-09-04 深圳市裕展精密科技有限公司 Cutter control device and method
CN111805301A (en) * 2020-06-16 2020-10-23 深圳市裕展精密科技有限公司 Measuring device and measuring method

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6777641B2 (en) * 2002-04-16 2004-08-17 W.A. Whitney Co. Method and apparatus for laser piercing and cutting metal sheet and plate
JP4299805B2 (en) * 2005-04-25 2009-07-22 ファナック株式会社 Numerical control device that performs tool compensation using table format data

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW201026429A (en) * 2009-01-09 2010-07-16 Foxnum Technology Co Ltd Abrasion compensation system and method for cutting tools of numerical control machine
CN103149877A (en) * 2011-12-07 2013-06-12 沈阳黎明航空发动机(集团)有限责任公司 Numerical control machining method capable of guaranteeing machining command information to be correct
DE102017206931A1 (en) * 2017-04-25 2018-10-25 Dr. Johannes Heidenhain Gmbh Method for compensating the cutter displacement
CN110799915A (en) * 2017-05-26 2020-02-14 深圳配天智能技术研究院有限公司 Tool path compensation method and numerical control machine tool
WO2020075191A1 (en) * 2018-10-12 2020-04-16 Tata Consultancy Services Limited Method and system for monitoring tool wear to estimate rul of tool in machining
CN109176168A (en) * 2018-10-15 2019-01-11 基准精密工业（惠州）有限公司 Tool sharpening tune machine device and method
CN111113268A (en) * 2019-12-21 2020-05-08 福建省嘉泰智能装备有限公司 Cutter correction method and system for machine tool
CN111624944A (en) * 2020-06-16 2020-09-04 深圳市裕展精密科技有限公司 Cutter control device and method
CN111805301A (en) * 2020-06-16 2020-10-23 深圳市裕展精密科技有限公司 Measuring device and measuring method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
数控系统预处理技术研究;许爱芬;《中国优秀博硕士学位论文全文数据库(博士)工程科技I辑》;20101215(第12期);48-71 *

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