A real-time information-driven intelligent navigation method for manufacturing activities at the production equipment end

Abstract

The invention provides a method of intelligent navigation for manufacturing operations of real-time information-driven production equipment. Interconnection and mutual-induction of various manufacturing resources are achieved by applying internet-of-things technology to manufacturing equipment. Information acquisition means during processing of original manufacturing resources is changed. Timeliness, standardability and accuracy of data are increased. Real-time operation guidance and task queue optimization services are provided for the equipment according to the acquired real-time information. Equipment real-time production conditions and correct production guidance are provided comprehensively. Therefore, the quality problem caused by misoperation or misloading of materials is avoided basically. Sequences of tasks to be processed are quickly optimized at the equipment end according to the acquired multi-source real-time conditions, difficulty of dynamic optimization is lowered, and optimization time is shortened.

Description

technical field [0001] The invention relates to a real-time information-driven intelligent navigation method for manufacturing activities at the production equipment end, which provides navigation services for the equipment end with real-time operation guidance and real-time optimization of task queues through the dynamic collection and processing of real-time manufacturing information of the production equipment. Background technique [0002] In recent years, despite management systems represented by Enterprise Resource Planning (Enterprise Resource Planning, ERP), Manufacturing Resource Planning (Manufacturing Resource Planning, MRPⅡ), Manufacturing Execution System (Manufacturing Execution System, MES) and so on, and CNC machining units, Distributed Numerical Control (DNC ) and other representative automation technologies have achieved certain performance in the manufacturing industry. However, in the actual production process, there are still low operating efficiency of t...

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Problems solved by technology

[0004] Although the above research has a good role in promoting the monitoring and optimization of the production process, it is difficult to solve the following problems faced by current manufacturing enterprises in the optimization management of the production process: 1) Modern production has higher and higher requirements for product quality. Comprehensive real-time production status information at the equipment end and correct production operation guidance make it difficult to fundamentally eliminate quality problems caused by improper operation or wrong loading of materials; 2) Due to the lack of comprehensive real-time production information at the equipment end in the manufacturing system, when the equipment end When an exception occurs, it is difficult to coordinate the manufacturing activities of the processing equipment set where the upstream and downstream processes associated with the equipment-side processing tasks are located, which further spreads the production anomaly to the upper-level manufacturing system, resulting in greater anomalies; 3) due to the optimization from the workshop level The types and quantities of manufacturing resources involved in the problem make dynamic optimization difficult and the optimization time is long, which is not conducive to the implementation of dynamic optimization results

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