Mould production workshop maintenance early warning method and early warning system thereof

CN119338307APending Publication Date: 2025-01-21YIMO (CHONGQING) INTELLIGENT MFG RES INST CO LTD
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Patent Information

Application Number
CN202411386755.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-30
Publication Date
2025-01-21

AI Technical Summary

Technical Problem

In mold manufacturing, manual inspection dependence leads to missed inspection and data errors, and poor online monitoring accuracy, which can easily lead to frequent production suspensions and affect production continuity and output.

Method used

By obtaining real-time and historical production data from the mold production workshop, early warning indicators are determined based on BP neural network, maintenance warnings are triggered, and fault repair types are output to avoid manual missed inspections and data errors, and reduce frequent production shutdowns.

Benefits of technology

It effectively avoids missed inspections and data errors during manual inspection, reduces frequent production shutdowns, and ensures the continuity of mold production and product quality.

✦ Generated by Eureka AI based on patent content.

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Abstract

According to the mold production workshop maintenance early warning method and the early warning system provided by the invention, the triggering index of maintenance and operation is determined based on the historical data and the real-time parameters of the mold production workshop, so that the phenomena of missing detection and data errors existing in a manual mode can be effectively avoided, frequent production halt can be avoided, and the production efficiency is improved. And therefore, the production continuity of the die and the product are guaranteed.
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