Anomaly detection based workpiece vacuum filling control method

Abstract

The invention provides an anomaly detection based workpiece vacuum filling control method. Through the anomaly detection based workpiece vacuum filling control method, the vacuum performance of a workpiece can be automatically detected, and filling can be implemented. A system achieves automation control over the implementation process of a preset decision value, is changed from traditional manualcontrol to automatic control and also can intelligently detect the working conditions of all filling positions and take emergency measures in time at the initial stage of occurrence of an abnormal condition. Meanwhile, through method provided by the invention, the emergency measures on the abnormal filling positions can be intelligently adjusted according to the actual production efficiency and the production plan, and waste of filling raw materials is reduced on the premise of not affecting the production plan of a factory as far as possible.

Description

technical field [0001] The invention relates to the field of vacuum perfusion, in particular to a control method for workpiece vacuum perfusion based on abnormality detection. Background technique [0002] In industrial production, one of the steps before pouring the container workpiece is to evacuate the container workpiece and detect the vacuum degree at the same time. When the vacuum degree reaches the preset value, it indicates that the workpiece production is qualified, and then enter the next pouring process. At present, the progress and switching process of the process is generally performed manually. The vacuum pipe joint is connected to the container workpiece, and the vacuum is continued for a period of time. The personnel monitor the vacuum value to determine whether the workpiece is qualified. When the vacuum value reaches the set threshold, It shows that the workpiece is produced qualified, then manually remove the vacuum pipe joint, connect the container workpi...

AI Technical Summary

Problems solved by technology

[0003] However, with the long-term use of the equipment, the connectors of the perfusion pipeline will gradually wear out, causing the perfusion gas to leak out during perfusion, thereby reducing the perfusion efficiency; The production of the factory often does not stop, so it is easy to cause a lot of waste of perfusion gas; at the same time, because the leak detection of perfusion connectors is currently done manually, it is often impossible to find abnormalities in the early stage of connector wear. Resulting in failure to carry out maintenance work in a timely manner

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