WO2023051072A1 - Procédé et système de débogage intelligent à base de compensation d'optimisation - Google Patents

Procédé et système de débogage intelligent à base de compensation d'optimisation Download PDF

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Publication number
WO2023051072A1
WO2023051072A1 PCT/CN2022/112944 CN2022112944W WO2023051072A1 WO 2023051072 A1 WO2023051072 A1 WO 2023051072A1 CN 2022112944 W CN2022112944 W CN 2022112944W WO 2023051072 A1 WO2023051072 A1 WO 2023051072A1
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machine
numerical control
control machine
intelligent
measurement data
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PCT/CN2022/112944
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English (en)
Chinese (zh)
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潘磊
邢璐
田野
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杭州数途信息科技有限公司
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Publication of WO2023051072A1 publication Critical patent/WO2023051072A1/fr

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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
    • G05B19/19—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 positioning or contouring control systems, e.g. to control position from one programmed point to another or to control movement along a programmed continuous 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
    • G05B2219/35—Nc in input of data, input till input file format
    • G05B2219/35349—Display part, programmed locus and tool path, traject, dynamic locus

Definitions

  • the invention relates to the technical field of numerical control machining, in particular to an intelligent adjustment method and system based on optimal compensation.
  • design drawings - DFM process dismantling - NPI processing verification - mass production The DFM process dismantling includes dismantling a part into multiple processing procedures, the processing description, equipment requirements, process drawings, tool fixture information, SIP inspection standards, and program overview of each process; when entering the NPI processing verification stage, it is necessary to select Fix the machine table, fixtures, tools, and carry out production verification. "Machine adjustment" is the core link of production verification. What it needs to do is to adjust the tool compensation value and coordinate system compensation value used in part processing to make all dimensions meet the quality standards.
  • the basic process of "adjusting the machine” is: when each machine produces and processes the first piece of material, the production technicians will rely on visual observation and work experience to manually adjust the tool compensation and coordinates used for processing The compensation value is used to produce finished parts, and then the parts are sent to the offline equipment for inspection and measurement to see if all dimensions meet the standards. If the standard is met, the adjustment machine will pass. If it does not meet the standard, change the material, process and adjust the machine again, and send it for inspection until all dimensions of a finished product are qualified. It is generally necessary to repeatedly adjust the machine to meet the product size requirements. Since each size may be related, one knife or one coordinate system will participate in the processing of multiple sizes.
  • the size of a problem may be adjusted to meet the standard, while another related size has a problem. Therefore, in the existing "machine adjustment" process, the necessary condition is "sufficient quantity and rich technical experience" production technicians. Only by ensuring this condition can the production verification phase be completed as scheduled, and the technical verification can be passed as scheduled, thereby ensuring the smooth acquisition of mass production orders.
  • the reality is that it is becoming more and more difficult to recruit production technicians, and the corresponding labor costs are also increasing, which has become a major pain point for manufacturing companies.
  • the time-consuming process of "machine adjustment” is not only the time for adjusting the tool compensation and coordinate system compensation for reprocessing, but also in the inspection process of the product after each machine adjustment and production.
  • the inspection of the adjustment results of the factory is mostly carried out outside the machine, that is, after a piece of parts is produced, it must be taken to the laboratory, using professional testing equipment, and outputting a test report.
  • the ratio gap between testing equipment and production equipment is huge, reaching 1.5:100.
  • a piece of material just may need to wait several hours, even longer.
  • the present invention proposes an intelligent adjustment method and system based on optimal compensation.
  • One embodiment of the present invention discloses an intelligent machine tuning method based on optimal compensation, which is used for intelligent machine tuning of at least one numerical control machine, including the following steps:
  • S4 Send the optimized compensation value back to the numerical control machine, so that the numerical control machine performs machine adjustment according to the optimized compensation value.
  • step S1 further includes: correcting the actual measurement data of the processed part collected by the numerical control machine by using the point deformation of the standard block.
  • using standard block point deformation to correct the actual measurement data collected by the CNC machine specifically includes: providing standard blocks corresponding to the dimensions of the processed parts to be measured, and each standard block is provided with a plurality of Calibration point, obtain the reference value of each calibration point of the standard block corresponding to each size to be measured; when receiving the actual measurement data of the processed parts collected by the numerical control machine, also receive each The actual measurement data of the processed parts collected by the numerical control machine is corrected according to the reference value and the calibration value of each calibration point of the standard block corresponding to each size to be measured.
  • receiving the actual measurement data of the processed parts collected by the numerical control machine in step S1 specifically includes: receiving the actual measurement data of the processed parts collected by the numerical control machine by establishing a handshake protocol with the numerical control machine.
  • receiving the actual measurement data of the processed parts collected by the numerical control machine by establishing a handshake agreement with the numerical control machine specifically includes:
  • A1 Establish a long link with the CNC machine to notify the CNC machine to enter the collection state when receiving data;
  • A2 Receive the feature number transmitted by the CNC machine in the form of macro variables and a corresponding point measurement data collected;
  • A3 Reset the macro variable, and judge whether the CNC machine has collected all the points, if yes, complete the reception, if not, notify the CNC machine to enter the measurement and reporting of the next point, and return Step A2.
  • step S2 further includes: judging according to the measurement model parameters whether the obtained measurement data in a standard format is up to standard, and if not, sending an alarm signal to the numerical control machine, so that the numerical control machine suspends processing Component.
  • step S3 specifically includes: the weighted optimization problem model based on the trust region established according to the measurement data in the standard format and the measurement model parameters is expressed as follows:
  • using the trust region reflection method to solve the above optimization problem model to obtain the optimal compensation value of the numerical control machine specifically includes:
  • Construct function f(x) and calculate X and ⁇ by minimizing f(x) on trust region N through trial steps s, where trust region N is the neighborhood of function f(x) at point x.
  • minimizing f(x) on the trust region N through the trial step s specifically includes:
  • B1 Construct a two-dimensional trust region subproblem: Among them, g is the gradient of the function f at the current point x, H is the Hessian matrix, D is the diagonal scaling matrix, s is the trial step, and ⁇ is the radius of the trust region;
  • step S4 Before sending the optimized compensation value back to the numerically controlled machine in step S4, it is judged whether the optimized compensated value exceeds a preset threshold, and if so, an intervention signal is sent to the numerically controlled machine, so that The numerical control machine suspends processing parts; if not, the optimized compensation value is sent back to the numerical control machine.
  • step S4 Before sending the optimized compensation value back to the CNC machine in step S4, it is judged whether the optimized compensation value exceeds a preset threshold, and if so, the standard block is used again to collect the data collected by the CNC machine. The actual measurement data of the processed part is corrected; if the threshold is still exceeded after correction, an intervention signal is sent to the CNC machine to make the CNC machine suspend processing the part; if the preset threshold is not exceeded, the optimized The compensation value is sent back to the numerical control machine.
  • Another embodiment of the present invention discloses an intelligent adjustment system based on optimization compensation, which is used for intelligent adjustment of at least one numerical control machine, and is characterized in that it includes: a processor and a storage medium, and the storage medium A computer program is stored in the computer, and the processor is configured to run the computer program to execute the above-mentioned intelligent tuning method.
  • the beneficial effect of the present invention lies in: the intelligent adjustment method and system based on optimization compensation proposed by the present invention, wherein by receiving the actual measurement data and measurement model parameters of the machined parts of the CNC machine, adopting the method based on trust
  • the weighted optimization problem model of the domain solves the optimal compensation value of the CNC machine to guide the machine adjustment of the CNC machine, making the machine adjustment a standardized process.
  • the tool compensation or coordinate compensation value can no longer only rely on empirical calculations.
  • the entire process of machine adjustment and compensation does not require professional manual participation, and only ordinary operators need to perform processing, loading, unloading and processing operations. As a result, the factory has completely solved the problem of difficulty in recruiting workers for biotechnology and high cost.
  • the algorithm and measurement method used in the intelligent tuning method make the accuracy and precision of the tuning compensation parameters reach the best, and the tuning effect is beyond the reach of excellent biotechnology. At the same time, this kind of accuracy and precision will not be different due to different equipment and environments, and it is extremely stable.
  • the intelligent adjustment system has increased the efficiency of machine adjustment by more than half; in the past, machine adjustment and material preparation had to be repeated 6 times or more. After using the machine adjustment method and system, it can be done in one go. In the past, with manual participation, repeated adjustments needed to go back and forth to the laboratory or offline testing equipment for judgment.
  • the detection of the adjustment result is carried out in the machine, and the actual data of the machined parts collected by the CNC machine is measured with a standard block.
  • the measurement data is corrected, saving the adjustment time.
  • the actual measurement data of the processed parts collected by the CNC machine is received by establishing a handshake protocol based on system macro variables with the CNC machine, so that the measurement can be carried out inside the machine, saving the adjustment time.
  • Fig. 1 is the flow chart of the intelligent adjustment method based on optimal compensation of the preferred embodiment of the present invention
  • Fig. 3 is the flow chart of the intelligent tuning machine method of the specific embodiment of the present invention.
  • FIG. 5 is a schematic diagram of correcting the result value of workpiece measurement.
  • the preferred embodiment of the present invention discloses an intelligent adjustment method based on optimization compensation, which is used for intelligent adjustment of at least one numerical control machine, so that the adjustment process is smoother, and the adjustment compensation data reaches the target at one time.
  • the target process is: after the machining of the CNC machine is completed, the probe is used to measure the size points in the machine.
  • the system collects the measurement points in real time to calculate each size value of the part.
  • the system page visually displays the size measurement results of the processed parts and automatically calculates all
  • the optimal value of the tool compensation and coordinate system compensation involved in the processing, the compensation value can be written back to the machine with one click of the compensation button, and the CNC machine can be processed and measured again to produce products of various sizes that meet the standards.
  • This adjustment process is not limited by the CNC machine system, and is applicable to all types of CNC machines.
  • Each process contains a series of inspection dimensions; (7)
  • Each dimension has a set of tolerance standards, a set of processing tool information, and a set of processing coordinate system information . Both tool and coordinate system information have actual influence information, such as the tool length or tool radius will affect the processing of this dimension, and the influence coefficient will be recorded, that is, the coefficient relationship between tool/coordinate system compensation and size. For different sizes, under different tool cutting methods, the ratio of coefficients affected by different tool compensations.
  • the schematic diagram of the standard block is shown in Figure 2, there is one standard block in each of the X and Y directions, and the size of the "marking point" of the standard block is measured and calibrated by three coordinates in advance (marked in the figure Reference value).
  • the standard block After the standard block is installed, measure the standard block with the built-in probe. After finding the origin, the machine measures the coordinate values (ie, the calibration value) of all "calibration points" in the standard block. In this way, the error value between the in-machine detection value and the three-coordinate detection value of each calibration point can be calculated, as shown in Table 1. For example, taking the length from A1 to A2 as an example, its theoretical diameter is
  • 24mm.
  • Table 1 The reference value, calibration value and corresponding error of each calibration point of the standard block
  • receiving the actual measurement data of the processed parts collected by the CNC machine is specifically: receiving the actual measurement data of the processed parts collected by the CNC machine by establishing an interactive handshake protocol with the CNC machine, further specifically including the following steps:
  • the system realizes the real-time reception of measurement data points. After point conversion is calculated into part size, it is compared with the dimensional tolerance specified in the quality standard document in the system, and a report on whether each size meets the standard is output.
  • the information contained in the report includes the measurement time of a part, the code of the part piece, the serial number of the part processing and testing machine, the standard value and tolerance of the part size, the actual value of the part size, the judgment of whether the size meets the standard, and the size deviation value.
  • the point measurement value is collected in real time. Real-time judgment whether the measurement size is qualified or not.
  • the above-mentioned system display results not only include the final calculated size result value, but also include the "standard determination” (OK or NG) and the deviation value.
  • the machine will be notified, causing the CNC machine to stop and generate an alarm to notify the on-site personnel that the processing measurement of this equipment has not passed and needs to be compensated. In order to avoid the next substandard processed product.
  • the actual physical quantity known to be measured is recorded as C ⁇ R n , the compensation coefficient z ⁇ R k ⁇ n , the standard value S ⁇ R n , the unknown tolerance ⁇ R n and the compensation value X ⁇ R k (where n and k are both positive integers, representing the dimension of the space, and R represents the real number space, for example, R n represents the n-dimensional real number space). So there are equations:
  • the unknowns are the compensation value X and the tolerance ⁇ , so the number of unknowns is k+n, and the number of equations is n, so it can be known that the number of unknowns is greater than the number of effective equations, so the problem is transformed into underdetermined System of equations solving problems.
  • lsp, usp ⁇ R n+k are the upper bound and lower bound of the unknown quantity respectively.
  • E ⁇ R n ⁇ (n+k) is the weight.
  • g is the gradient of f at the current point x
  • H is the Hessian matrix (symmetric matrix of the second derivative)
  • D is the diagonal scaling matrix
  • ⁇ is the radius of the trust region, which is a positive scalar
  • Such second-order algorithms usually involve calculating all the eigenvalues of H, and applying Newton's method to the following characteristic equations
  • Equation (7) can provide an exact solution to Equation (6); the eigenvalues of H are generally calculated using eigenvalue decomposition, and the optimal iterative format for solving Equation (6) requires calculating the eigenvalue decomposition of H, and applying these eigenvalues and ⁇ calculates the iterative direction, which involves a theorem for solving quadratic programming problems with constraints:
  • s * is the global minimum solution of formula (6) if and only if s * is feasible and there exists ⁇ 0 such that:
  • ⁇ ⁇ 0 and ⁇ 1 is a single characteristic root is considered below, other cases can be analyzed similarly.
  • the intelligent machine tuning system has already carried out a collection of corresponding tool compensation and coordinate system compensation according to the standard documents of the currently processed parts. And store the data to prepare for the compensation value to be written into the machine.
  • S4 Send the optimized compensation value back to the CNC machine, so that the CNC machine can adjust the machine according to the optimized compensation value.
  • the initial value of tool compensation (including radius tool compensation wear and length tool compensation wear) of each tool position and the initial value of each coordinate axis will be collected. Calculate the compensation difference through an algorithm. Finally, the compensation value is written back by adding the compensation difference to the initial value.
  • the system creatively performs fool-proof and error-proof processing, and sets a threshold range. Once the compensation value is found to exceed the threshold, it will not be able to make up for it, and a prompt will be issued to inform that compensation of all sizes that meet the standard is required this time. The value may cause the danger of machine processing, prompting manual intervention to solve it.
  • the absolute value of the compensation value is 0.1 as the limit.
  • the preferred embodiment of the present invention also discloses an intelligent machine adjustment system based on optimization compensation, which is used to perform intelligent machine adjustment on at least one numerical control machine, including: a processor and a storage medium, and the computer program is stored in the storage medium , the processor is configured to run the computer program to execute the above-mentioned intelligent tuning method.
  • the machine tuning scheme of the preferred embodiment of the present invention is a set of "automation and intelligence" integration, and a higher degree of scheme: first, the automatic and real-time reading of measurement data is realized by "in-machine measurement”; In this process, the possibility of machine processing defective products during laboratory measurement and waiting time is avoided. Secondly, a complete model is also established for the measurement data and parameters, and the problem of geometric calculation is transformed into an "optimization problem", in which various optimization algorithms are used to solve the problem. This solution has greatly improved the reliability of ensuring the accuracy of all size adjustments.
  • precision testing equipment In the process of machine production and processing, precision testing equipment will be used to conduct product quality testing inside the machine, outside the machine, or both at the same time, and obtain the test results of each process and each size of the product.
  • the intelligent tuning system will obtain various testing data in real time by interacting with testing equipment. And calculate the test data to determine whether each size meets the standard or not. If all dimensions meet the standard, the product has passed the quality verification and can be delivered. If there is a size out of tolerance, the system will calculate the best tool compensation or the best coordinate system compensation for machining of this size through the optimization algorithm. At the same time, the intelligent adjustment system will directly communicate with the processing equipment, and write the best adjustment data into the equipment to complete the adjustment.
  • Modus generates a measurement program.
  • This module is the pre-work for the intelligent machine tuning system to start working. Since the machine tuning platform needs to collect measurement content, here, the generation process of the measurement program will be introduced first.
  • Modus is the supporting software system for Renishaw's measuring probes. Its work content is "input the part processing drawing, mark the measurement size, mark the measurement point, and generate the corresponding measurement program". Therefore, the first step can cooperate with software such as Modus to output the NC program of the measurement point.
  • This step itself does not require the intervention of the machine tuning platform, but the process of running the measurement NC program in the machine needs to establish a handshake with the acquisition program of the intelligent machine tuning system.
  • C2 Import the measurement model and quality parameters into the IMIQ system, and import the basic data into the intelligent adjustment system for subsequent compensation calculations.
  • the imported data content includes: project, part, process, process method, quality standard.
  • FIG. 4 it is a frame diagram of an intelligent machine tuning system according to a specific embodiment of the present invention.
  • the system adopts a B/S-based hybrid computing architecture. Users can complete all operations of the system based on the browser.
  • the system computing is completed through the central high-performance server cluster (providing a high-availability mechanism and linear expansion) and cooperating with the hardware and software of the edge computing.
  • the CNC machine connects the equipment to the computing network through a network cable or wireless router.
  • the central server is responsible for communicating with all CNC machines. After the measurement data is collected, the parameters are calculated and the results are fed back to the CNC machine.
  • the intelligent machine adjustment system of this specific embodiment includes a controlled CNC machine 10 and a corresponding probe 11, a measurement CAM server (Modus) 20, an access switch 30, a client 40, an edge computing server 50,
  • the specific applications of wireless AP 60 and intelligent terminal 70 are as follows:
  • DMIS data service refers to the background service that can support the calculation of dimensions or tolerances defined in the commonly used ⁇ Dimension Measurement Interface Standard>, such as Renishaw's modus service , internal DMIS data service) into standard measurement data (supports different standards.
  • the internal standard is used in the communication protocol. Because it is more concise and has better performance. But it can also be converted into industry-wide standards, such as QIF).

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Abstract

L'invention concerne un procédé et un système de débogage intelligent à base de compensation d'optimisation et servant à effectuer un débogage intelligent sur au moins une machine à commande numérique (10). Le procédé comprend les étapes consistant à : S1, acquérir un paramètre de modèle de mesure d'une machine à commande numérique (10) et recevoir des données de mesure réelles d'une pièce usinée, collectées par la machine à commande numérique (10) ; S2, selon le paramètre de modèle de mesure, convertir, en données de mesure et en format standard, les données de mesure réelles de la pièce usinée, collectées par la machine à commande numérique (10) ; S3, selon les données de mesure en format standard et selon le paramètre de modèle de mesure, établir un modèle pondéré de problème d'optimisation d'après une zone de confiance et résoudre le modèle de problème d'optimisation pour obtenir une valeur de compensation d'optimisation de la machine à commande numérique (10) ; et S4, renvoyer la valeur de compensation d'optimisation à la machine à commande numérique (10), pour que la machine à commande numérique (10) effectue un débogage selon la valeur de compensation d'optimisation. Grâce au procédé et au système de débogage intelligent à base de compensation d'optimisation, le problème de l'état de la technique dû à une corrélation possible entre les tailles lors d'un « débogage » est résolu.
PCT/CN2022/112944 2021-09-30 2022-08-17 Procédé et système de débogage intelligent à base de compensation d'optimisation WO2023051072A1 (fr)

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