Pipeline planning method and device based on data driven modeling and simulation optimization

Abstract

The invention discloses a pipeline planning method and device based on data driven modeling and simulation optimization, and belongs to the field of production line planning and design. The method comprises a step of performing rapid analysis on each data of an assembly line based on data driving and building a data model, a step of building a simulation model based on the data model through hierarchical modeling and driving the simulation model to run, outputting an simulation result and evaluating a result according to set indicators, continuously optimizing and improving the unreasonable allocation of device resources, and quickly performing reasonable pipeline planning and design. According to the invention, the model is quickly established through data driving, the model has good flexibility and reusability, the simulation model can be driven by modifying external data to run different simulation tests, the flexibility, versatility and portability of the simulation model are enhanced, the planning efficiency is improved, and the efficiency is improved and the correctness is ensured on the basis of automatic rapid modeling.

Description

technical field [0001] The invention belongs to the field of production line planning and design, and more specifically relates to a data-driven modeling and simulation optimization-based pipeline planning method and equipment. Background technique [0002] With the rapid development of the domestic economy in recent years and the increase in the demand for a variety of products and small batches, the market has put forward increasingly intelligent and digital requirements for enterprises. With the intensification of industry competition, in order to quickly seize this growing market, enterprises want to upgrade the current production model, adopt advanced intelligent hardware and software systems in the factory, and implement a new model of intelligent manufacturing, thereby improving production capacity and product quality. , enhance the enterprise's own competition, expand the market and reduce production costs. Intelligent manufacturing has high requirements for the fle...

AI Technical Summary

Problems solved by technology

[0003] However, traditional simulation technology consumes a lot of manpower and time costs, and cannot respond quickly to changes in the production workshop

The traditional assembly line workshop must be transformed into an intelligent workshop, but the construction cost of the intelligent workshop is relatively high, so it is necessary to carry out detailed analysis on the intelligent workshop system in the design stage, and discrete event modeling and simulation technology, as an effective tool for production system analysis, is becoming more and more important

Images