Workshop manufacturing process-oriented active sensing and anomaly analysis method of real-time generating performance

Abstract

The invention discloses a workshop manufacturing process-oriented active sensing and anomaly analysis method of real-time generating performance and aims to solve the technical problem that the prior art is poor in practicality. According to the technical scheme, the internet of things technique is applied to key manufacturing resources to generate real-time sensing of multi-source manufacturing information and to establish relation between key manufacturing performance and each piece of dispersed real-time manufacturing data. An anomaly assessment rule base is established for production process anomalies. When the key manufacturing performance of a manufacturing process is sensed, value adding is performed on the basis of a decision tree method; thus production managers are better assisted in timely and accurately acquiring production anomalies and their cause, the anomaly information is transmitted to the production mangers in time, anomaly checking time is shortened, the influence of the anomalies upon the production process is reduced, the stable and reliable production process is guaranteed, and practicality is high.

Description

technical field [0001] The invention relates to a real-time generation performance active perception and anomaly analysis method for workshop manufacturing process. Background technique [0002] The increasingly complex and large-scale industrial production process and the random change of production environment factors lead to the multi-source and massive characteristics of information in the modern production process. However, due to the lack of effective acquisition and processing methods for real-time multi-source information , resulting in time-consuming acquisition of manufacturing information without value-added, serious lag, and error-prone phenomena, making it difficult for the upper management system of the enterprise to grasp the real-time multi-source manufacturing information of the manufacturing site in a timely manner, and it is difficult to perceive production abnormalities in a timely and accurate manner, which in turn leads to manufacturing Enterprises ofte...

AI Technical Summary

Problems solved by technology

[0007] In order to overcome the shortcomings of poor practicability of the existing methods, the present invention provides a real-time generation performance active perception and abnormal analysis method for the workshop manufacturing process

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