A plc-based loading and unloading processing production control system and method

The PLC-based loading and unloading processing production control system realizes multimodal data perception, digital twin collaborative planning, and adaptive dynamic execution, solving the problem of mismatch between the automated loading and unloading system and the cycle time of the processing center, and improving equipment utilization and production efficiency.

CN121649981BActive Publication Date: 2026-07-10CHONGQING TELIPUR MECHANICAL EQUIP CO LTD +1
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Patent Information

Application Number
CN202511676513.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-11-12
Publication Date
2026-07-10
Estimated Expiration
2045-11-12

AI Technical Summary

Technical Problem

Existing automated loading and unloading systems cannot accurately coordinate with the high-efficiency processing cycles of multiple machining centers, resulting in low utilization of machining center equipment and decreased production efficiency.

Method used

A PLC-based material handling and processing production control system is adopted, including a multimodal data sensing module, a digital twin collaborative planning module, an adaptive dynamic execution control module, and a predictive maintenance closed-loop optimization module. Through multimodal data sensing, digital twin collaborative planning, adaptive dynamic execution, and predictive maintenance closed-loop optimization, the adaptive matching between the material handling system and the processing cycle time is achieved.

Benefits of technology

It significantly improved the equipment utilization and production efficiency of the machining center. Through real-time data acquisition, virtual environment synchronization, flexible control strategies and predictive maintenance, it optimized the matching of material supply and demand and improved the overall efficiency of the production line.

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Abstract

The application relates to the technical field of device control, and in particular relates to a PLC-based feeding and discharging processing production control system and method, which comprises a multi-modal data sensing module that collects three-dimensional point clouds and image sequences of a work scene through laser radar and a visual sensor, combines vibration signals and current signals of a processing spindle, carries out feature extraction, and outputs a comprehensive state vector comprising a workpiece pose and a device health state. A digital twin collaborative planning module receives the comprehensive state vector, drives a digital twin model and a physical environment to be synchronous in a virtual space, uses a reinforcement learning algorithm to carry out Monte Carlo tree search, and generates a flexible control strategy with a time sequence mark. The digital twin collaborative planning module adjusts a task allocation strategy according to an early warning signal, and corrects digital twin model parameters based on an execution log. The application realizes collaborative optimization of a feeding and discharging system and a processing beat according to the operation process of the above module, and improves device utilization and production efficiency.
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Citation Information

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