CN-121998199-A - Material utilization rate optimization layout and order combination method in copper bar processing process

CN121998199ACN 121998199 ACN121998199 ACN 121998199ACN-121998199-A

Abstract

The invention relates to the technical field of copper bar processing, and discloses a material utilization rate optimizing layout and order combination method in the copper bar processing process, which comprises the steps of obtaining a processing order set and state parameters of cutting equipment, and carrying out characteristic pretreatment on parts to calculate the effective occupation length; the method comprises the steps of mapping the length to a discrete interval to generate an effective virtual filling degree spectrum, screening orders to construct a to-be-processed pool by utilizing a comprehensive utility function and a seed adsorption strategy, extracting topological characteristics of the synthesized spectrum of the to-be-processed pool, adaptively matching a stock layout solver according to the topological characteristics, generating a cutting scheme by utilizing the solver, and generating a processing instruction after pre-execution verification. According to the invention, the order merging structure is optimized through the spectrum complementation strategy, and the self-adaptive solution and the physical constraint pre-mapping are combined, so that the utilization rate of the copper bar material is obviously improved while the feasibility of a cutting scheme is ensured.

Inventors

YANG SHUGE
YU XUEFEI
CAI CHANGBIN

Assignees

成都榕铜科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260210

Claims (10)

1. The method for optimizing layout and order combination of the material utilization rate in the copper bar processing process is characterized by comprising the following steps of: Acquiring a copper bar processing order set and state parameters of cutting equipment in a workshop; Performing feature pretreatment on the parts contained in the copper bar processing order set according to the state parameters of the cutting equipment, and calculating the effective occupation length of the parts; Mapping the effective occupation length to a discrete interval of the standard raw material length, and generating an effective virtual filling degree spectrum corresponding to each order; iteratively screening orders from the copper bar processing order set by utilizing a comprehensive utility function and adopting a seed adsorption strategy to construct an order pool to be processed; extracting synthetic spectrum topological features corresponding to the order pool to be processed, and adaptively matching a stock layout solver according to the synthetic spectrum topological features; and generating a cutting scheme for the to-be-processed order pool by using the stock layout solver, performing pre-execution verification on the cutting scheme, and generating a processing instruction after the pre-execution verification is passed.
2. The method for optimizing layout and order combination of material utilization in a copper bar processing process according to claim 1, wherein the step of performing feature preprocessing on the parts included in the copper bar processing order set according to the state parameters of the cutting equipment, and calculating the effective occupation length of the parts comprises the following steps: analyzing the digital geometric description file of the part to identify process characteristics, and calculating the physical distance from the edge boundary of the process characteristics to the nearest end surface of the part as a characteristic distance; acquiring the minimum processable length of the cutting equipment in the state parameters of the cutting equipment as a safety clamping threshold, and comparing the characteristic distance with the safety clamping threshold to determine a characteristic safety margin; And acquiring the real-time kerf width of the device in the state parameters of the cutting device, and calculating the effective occupied length of the part by linearly accumulating the physical geometric length of the part, the characteristic safety margin and the real-time kerf width of the device.
3. The method for optimizing layout and order combination of material utilization in copper bar processing according to claim 1, wherein the step of mapping the effective occupation length to a discrete interval of standard raw material length to generate an effective virtual filling degree spectrum corresponding to each order comprises: dividing the standard raw material length into a plurality of equidistant discrete intervals according to a preset discretization resolution; calculating the index of the discrete interval to which the effective occupation length of the part belongs, and adding the effective occupation length to the component of the corresponding original length distribution vector; And carrying out normalization processing on the original length distribution vector by using an L1 norm criterion to generate the effective virtual filling degree spectrum in the form of a probability density function.
4. The method for optimizing layout and order merging in copper bar processing according to claim 1, wherein the step of iteratively screening orders from the copper bar processing order set by using a comprehensive utility function and adopting a seed adsorption strategy to construct a pending order pool comprises: Calculating a dynamic urgency index of each order in the copper bar processing order set according to the order priority weight and the residence time of the order in the buffer zone; selecting an order with the largest dynamic urgency index as a seed order, and moving the seed order into the newly-built to-be-processed order pool; Assigning the effective virtual filling degree spectrum corresponding to the seed order to the mixed filling degree spectrum of the to-be-processed order pool, and assigning the sum of the effective occupation lengths of all parts contained in the seed order to the accumulated effective occupation length of the to-be-processed order pool.
5. The method for optimizing layout and order merging in copper bar processing according to claim 4, wherein the step of iteratively screening orders from the copper bar processing order set by using a comprehensive utility function and adopting a seed adsorption strategy to construct a pending order pool further comprises: Calculating spectrum complementarity indexes between the effective virtual filling degree spectrum of the candidate order in the rest order set and the mixed filling degree spectrum of the to-be-processed order pool; calculating the comprehensive utility value of the candidate order according to the weighted sum of the spectrum complementation index and the normalized dynamic urgency index; And selecting the candidate order with the largest comprehensive utility value as a target order, moving the candidate order into the to-be-processed order pool, and updating the mixed filling degree spectrum and the accumulated effective occupation length of the to-be-processed order pool based on the characteristics of the target order.
6. The method for optimizing layout and order combination of material utilization in copper bar processing according to claim 1, wherein the step of extracting the topological feature of the synthesized spectrum corresponding to the to-be-processed order pool comprises the following steps: determining the mixed filling degree spectrum of the order pool to be processed as a synthesized spectrum; Calculating the spectrum entropy value characteristic of the synthesized spectrum, wherein the spectrum entropy value characteristic is used for quantifying the discrete confusion degree of the part length requirement in the order pool to be processed; And calculating the spectral kurtosis characteristic of the synthesized spectrum, wherein the spectral kurtosis characteristic is used for quantifying the concentrated trend of the dominant length specification in the order pool to be processed, and the spectral kurtosis characteristic is the maximum value in the vector components of the synthesized spectrum.
7. The method for optimizing layout and order merging in copper bar processing according to claim 6, wherein the step of adaptively matching a layout solver according to the topological features of the composite spectrum comprises: Constructing a complexity discrimination function by calculating the difference value between the weighted normalized spectral entropy value characteristic and the weighted spectral kurtosis characteristic; Comparing the numerical value of the complexity discrimination function with a preset complexity switching threshold value; if the numerical value is larger than the complexity switching threshold value, selecting a meta heuristic iterative solver as the stock layout solver; and if the numerical value is smaller than or equal to the complexity switching threshold value, selecting a structural heuristic solver as the stock solver.
8. The method for optimizing layout and order merging in copper bar processing according to claim 1, wherein the step of generating a cutting scheme for the to-be-processed order pool by using the layout solver and pre-executing the verification on the cutting scheme comprises the steps of: judging the current availability status of the equipment in the cutting equipment status parameters, and calling the stock layout solver if the current availability status of the equipment indicates that the equipment is normal; taking all parts in the order pool to be processed as stock layout objects, taking the length of the standard raw materials as a constraint boundary, and operating the stock layout solver to output the cutting scheme; Calculating an actual material utilization rate of the cutting scheme, wherein the actual material utilization rate is a ratio of the sum of the effective occupied lengths of all parts contained in the to-be-processed order pool to the total length of standard raw materials used in the cutting scheme; and comparing the actual material utilization rate with a preset utilization rate qualification threshold value.
9. The method for optimizing layout and order merging in copper bar processing according to claim 8, wherein the step of generating processing instructions after the pre-execution verification is passed comprises: If the actual material utilization rate is greater than or equal to the utilization rate qualification threshold, judging that the pre-execution check passes; analyzing geometric coordinate data in the cutting scheme, and generating the machining instructions comprising a cutter positioning instruction, a linear cutting feeding instruction and an auxiliary control instruction according to motion control logic of cutting equipment; and sending the processing instruction to copper bar cutting equipment to drive the copper bar cutting equipment to execute physical cutting operation.
10. The method for optimizing stock layout and order merge in a copper bar manufacturing process according to claim 8, further comprising the step of, when said pre-execution check is not passed: If the actual material utilization rate is smaller than the utilization rate qualification threshold, calculating an outlier contribution value of each order in the to-be-processed order pool; Removing the order with the largest outlier contribution value from the pending order pool, and recalling the stock solver for the updated pending order pool.

Description

Material utilization rate optimization layout and order combination method in copper bar processing process Technical Field The invention relates to the technical field of copper bar processing, in particular to a method for optimizing layout and order combination of material utilization rate in the copper bar processing process. Background The copper bar is used as a key conductive part in the electrical complete equipment, the raw material cost is high, and the improvement of the material utilization rate in the cutting process is a core link for controlling the production cost. In industrial production sites, the components with different length specifications are generally combined and arranged on the sizing raw materials by adopting a layout technology so as to reduce the generation of residual materials and waste materials. In order to improve the scale benefit of the layout calculation, the production management system generally needs to combine scattered copper bar processing orders to construct a batch production task pool. The existing order merging and layout technology mainly performs aggregation merging according to management attributes such as material specification, delivery deadline or customer grade of an order. After determining the task pool to be processed, the system generally calls a single layout algorithm (such as a linear programming algorithm or a fixed heuristic rule) to generate a cutting scheme, and sends the calculated geometric arrangement data to the numerical control equipment to execute physical cutting. However, the existing processing method has a plurality of defects in practical application. Firstly, the complementarity of the part length specification on geometric distribution is ignored by the mode of order combination only according to the management attribute, so that the high utilization rate of partial production batches is difficult to realize when the partial production batches are generated, namely, the length distribution characteristics are not matched. Secondly, in the prior art, a fixed calculation flow is generally adopted to cope with all batches, the optimizing step is difficult to dynamically adjust according to the discrete or concentrated characteristics of order combination, and the balance between the calculation efficiency and the global optimizing capability is difficult to achieve. In addition, the traditional layout calculation is mostly processed based on ideal geometric dimensions, physical constraints such as kerf loss, equipment clamping avoidance and the like cannot be effectively quantified, and therefore a theoretical high-utilization scheme is often difficult to effectively execute in actual processing due to physical interference or dimensional deviation. Therefore, the invention provides a method for optimizing the material utilization rate and combining the layout and the order in the copper bar processing process, which solves the defects in the prior art. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a method for optimizing the layout and order combination of the material utilization rate in the copper bar processing process, which solves the problems that the material utilization rate is low and the feasibility of the processing scheme is poor due to the fact that the order combination process in the prior art lacks consideration of geometric complementarity of parts, a single layout calculation mode is difficult to adaptively adjust according to task characteristics and the layout calculation process does not cover equipment physical constraint. In order to achieve the purpose, the invention is realized by the following technical scheme that the method for optimizing the material utilization rate and combining the orders in the copper bar processing process comprises the following steps: Acquiring a copper bar processing order set and state parameters of cutting equipment in a workshop; Performing feature pretreatment on the parts contained in the copper bar processing order set according to the state parameters of the cutting equipment, and calculating the effective occupation length of the parts; Mapping the effective occupation length to a discrete interval of the standard raw material length, and generating an effective virtual filling degree spectrum corresponding to each order; iteratively screening orders from the copper bar processing order set by utilizing a comprehensive utility function and adopting a seed adsorption strategy to construct an order pool to be processed; extracting synthetic spectrum topological features corresponding to the order pool to be processed, and adaptively matching a stock layout solver according to the synthetic spectrum topological features; and generating a cutting scheme for the to-be-processed order pool by using the stock layout solver, performing pre-execution verification on the cutting scheme, and generating a processing instruction after the p