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

A technology of manufacturing process and analysis method, applied in the direction of total factory control, total factory control, program control, etc., can solve problems such as poor practicability

Active Publication Date: 2015-03-11
NORTHWESTERN POLYTECHNICAL UNIV
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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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  • Workshop manufacturing process-oriented active sensing and anomaly analysis method of real-time generating performance
  • Workshop manufacturing process-oriented active sensing and anomaly analysis method of real-time generating performance

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Embodiment Construction

[0064] refer to Figure 1-6 . The specific steps of the real-time generation performance active perception and abnormal analysis method oriented to the workshop manufacturing process of the present invention are as follows:

[0065] The present invention designs an active perception and abnormal diagnosis method for real-time production performance oriented to the workshop manufacturing process. Level, quickly diagnose the cause of the abnormality, and provide a basis for quickly obtaining the optimal scheduling strategy. The specific implementation steps are as follows:

[0066] Step 1: Based on the existing IoT sensing technology, construct an intelligent manufacturing resource that can perceive changes in its surrounding environment and its own operating status, and transmit the real-time status of the manufacturing resource to the upper management system, specifically including the following steps:

[0067] Step 1.1: Based on key production performance information, sele...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/418
CPCG05B19/41865Y02P90/02
Inventor 张映锋王文波刘思超司书宾
Owner NORTHWESTERN POLYTECHNICAL UNIV
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