Control optimization method and system for intelligent manufacturing and processing process

Abstract

The invention relates to the technical field of automation, and provides a control optimization method and system for an intelligent manufacturing and machining process, which are applied to edge equipment of a machining production line, and the method comprises the following steps: obtaining current production environment data and current machined part data; inputting the current production environment data and the current workpiece data into a parameter prediction model, and predicting and outputting n parameter prediction results through the parameter prediction model; and the n parameter prediction results are converted into a machining control command, and an execution mechanism is controlled to execute machining steps related to the machining control command. In addition, when the machining step is executed, the sensor can monitor actual finished product quality information in the actual machining process, and the parameter prediction model is adjusted based on the actual finished product quality information. The technical problem that control is not accurate enough in the intelligent manufacturing and machining process in the prior art can be effectively solved, efficient and accurate manufacturing and production can be achieved, and therefore the production efficiency is improved. 本发明涉及自动化技术领域，提供了一种面向智能制造加工过程中的控制优化方法和系统，应用于加工生产线的边缘设备，所述方法包括：获取当前生产环境数据和当前加工件数据；将当前生产环境数据和当前加工件数据输入至参数预测模型，通过参数预测模型来预测并输出n个参数预测结果；将所述n个参数预测结果转化为加工控制命令，控制执行机构执行与加工控制命令相关的加工步骤。此外，在所述加工步骤被执行时，传感器会监测实际加工过程中的实际成品质量信息，并基于实际成品质量信息调整所述参数预测模型。本发明能够有效地解决现有技术智能制造加工过程中存在的控制不够精确的技术问题，能够实现高效且准确地制造生产，从而提高生产效率。