Intelligent monitoring system and method for service life of cutter

A technology of tool life and monitoring system, which is applied in general control system, control/adjustment system, program control, etc., can solve the problems of no record of tool usage, affect the accuracy of tool life management, and tool life tracking, etc., to achieve reliable sex high effect

Pending Publication Date: 2021-11-30
SHENYANG INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology helps manage tools throughout their entire lifespan by taking care of all its history from production until it becomes unusable or needs maintenance. It can predict how long they will last without stopping working altogether due to factors like wear out over time. Additionally, this system allows users to make changes that affect future use of these tools more efficiently through automatic updates. Overall, this innovation improves efficiency and performance during manufacturing processes while ensurizing better quality products with longer-lasting parts.

Problems solved by technology

This patents discusses how smart manufacture involves controlling machine tools during their use based on factors like weariness (the number of times they work). However, current methods have limitations that make them difficult to manage effectively over time due to resource allocation issues. Additionally, there may exist situations where only partial data from previous uses can help improve understanding about what happened when new ones were being created.

Method used

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  • Intelligent monitoring system and method for service life of cutter
  • Intelligent monitoring system and method for service life of cutter
  • Intelligent monitoring system and method for service life of cutter

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Embodiment Construction

[0074] In order to make the objects and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0075] Such as figure 1 As shown, an intelligent tool life monitoring system according to an embodiment of the present invention includes:

[0076] (1) Workshop site layer, used to provide real-time site data for the system. The equipment on the workshop site level includes flexible processing units, AGV material transport trolleys, material storage units, tool storage units, etc. The data acquisition line is arranged on the on-site machine tool to obtain the online tool position and tool status of the machine tool in real time, which provides raw data for the visual management of tool monitoring. The present invention satisfies the network conn

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Abstract

The invention discloses an intelligent monitoring system and method for the service life of a cutter, the monitoring system comprises a workshop field layer, a unit general control layer, a workshop general control layer and a visual management and control layer, and the workshop field layer is used for providing real-time field data for the system; data acquisition lines are arranged on field machine tools, online tool positions and tool states of the machine tools are acquired in real time, original data are provided for visual management of tool monitoring, and the unit general control layer is used for realizing logic control among equipment in each unit of the workshop field layer and realizing information acquisition of bottom-layer equipment and information feedback to upper-layer equipment. According to the invention, the full-chain systematic management of the cutter flow is realized; according to the method, the residual life of the tool is predicted by adopting a mode of accumulating the number of machined workpieces configurable by a strategy or accumulating machining time, and then an online monitoring visual management function with a more reliable and more scientific prediction result and a more accurate numerical value for the residual life of the tool is realized by utilizing an early-warning value of the service life of the tool set by the system.

Description

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Claims

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Application Information

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Owner SHENYANG INST OF TECH
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