SPC (statistical process control)-based linkage control method and system

Abstract

The invention provides a SPC (statistical process control)-based linkage control method and system. The method includes the following steps that: in an SPC system, abnormality judgment data, data algorithm graphs, and abnormality judgment rules are configured through a configuration module, and control graphs on actual business which require control are configured based on the configured abnormality judgment data, data algorithm graphs, and abnormality judgment rules; in the SPC system, early warning notification objects and early warning modes are configured through an early warning module; and in a production process, a data acquisition device transmits data in real time to the SPC system one by one, wherein the data are collected when a product is subject to processing procedures, and the SPC system immediately performs statistical judgment according to the configuration result of the configuration module, if the SPC system judges that the product is an unqualified product, the SPCsystem triggers early warning, the early warning module issues early warnings according to the configured early warning notification objects and the early warning modes. According to the SPC (statistical process control)-based linkage control method and system of the present invention adopted, the collected data are combined with the SPC system, each collected datum is judged in real time; if a judgment result indicates that a product is unqualified, an early warning is triggered, feedback can be immediately sent to a current production line, and therefore, production costs can be reduced.

Description

technical field [0001] The invention relates to a method and system of SPC (statistical process control) linkage control, which connects the collected data with the self-developed SPC, and judges each collected data in real time. If the discrepancy rule is triggered, an early warning will be issued directly to reduce production cost waste. Background technique [0002] Statistical Process Control (SPC for short) is a process control tool with the help of mathematical statistics. It analyzes and evaluates the production process, discovers the symptoms of systemic factors in time according to the feedback information, and takes measures to eliminate their influence, so that the process can be maintained in a controlled state only affected by random factors, so as to achieve the purpose of quality control. In the manufacturing industry, SPC is widely used, but the traditional method is to use SPC as an isolated program, and can only perform statistical analysis on the collecte...

AI Technical Summary

Problems solved by technology

In the manufacturing industry, SPC is widely used, but the traditional method is to use SPC as an isolated program, and can only perform statistical analysis on the collected data after the production of the batch is over, and then obtain the judgment result, and then according to the judgment The results are used to control the subsequent production, so there is a long time difference between the collected data and the production that the judgment results can affect, and it is impossible to achieve real-time and linkage; if the judgment result obtained after the statistical analysis is unqualified, due to The production of the batch at that time has ended, and the loss caused by the production at that time cannot be avoided

Moreover, the current SPC system used by enterprises must re-write the code of the discrimination rules every time the collected data is imported, which not only requires the professionalism of the operators, but also greatly reduces the operational efficiency.

Images