Method for predicting machining time of machine tool and equipment

A technology for processing working hours and machine tools, which is applied in computer control, general control systems, instruments, etc., can solve the problems of poor prediction of machine working hours and achieve the effects of low cost, high accuracy, and guaranteed accuracy

Active Publication Date: 2021-09-03
山东豪泉软件技术有限公司
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Problems solved by technology

[0004] In order to solve the above problems, this application proposes a method and equipment for predic

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  • Method for predicting machining time of machine tool and equipment
  • Method for predicting machining time of machine tool and equipment
  • Method for predicting machining time of machine tool and equipment

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[0025] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0026] The technical solutions provided by various embodiments of the present application will be described in detail below in conjunction with the accompanying drawings.

[0027] Such as figure 1 As shown, one or more embodiments of the present application provide a method for predicting man-hours of machine tool processing, including:

[0028] S10...

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Abstract

The invention discloses a method for predicting the machining time of a machine tool and equipment, and belongs to the field of machine tool control systems. The method comprises the following steps: collecting information in a machining program of the machine tool so as to determine the machining duration of the machining program corresponding to a plurality of products machined by the machine tool, and extracting data characteristics related to the machining duration from the machining program; associating the data features of the same product with the machining duration to obtain a machine tool working hour training sample corresponding to the machining program; generating a data cleaning model based on the training sample, and cleaning the training sample through the data cleaning model; and generating a product man-hour prediction model based on the cleaned training sample, and predicting the man-hour of the machine tool processing product through the product man-hour prediction model. The man-hour prediction is improved to an automatic prediction mode from manual prediction, flexible change is carried out according to actual production conditions, a high-cost scheme depending on personnel or multiple pieces of software is changed, and data support is provided for workshop management in the manufacturing industry.

Description

technical field [0001] The present application relates to the field of machine tool control systems, and in particular to a method and device for predicting the working hours of machine tool processing. Background technique [0002] During the machining process of CNC machine tools, there are usually multiple machining programs. If the working hours of each machining program can be reasonably arranged, the working efficiency of the machine tool can be improved. [0003] In the prior art, the man-hours of machine tool processing products are usually predicted by manual prediction. Manual forecasting relies on human experience, and its forecast results are often quite different from the actual working hours. In addition, some manufacturers use software to predict man-hours. This method is to monitor the production information of the machine tool through the built-in equipment of the machine tool, so as to predict the production man-hours of the machine tool through the built-...

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Application Information

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IPC IPC(8): G05B19/4097
CPCG05B19/4097G05B2219/31429
Inventor 徐得玉张禄蔡文东王文超李海翔孙涛刘学彬崔凤君李昱坤席学伟苏星夏夕亮
Owner 山东豪泉软件技术有限公司
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