Edge-computing-oriented equipment calling method and device

Abstract

The invention discloses an edge-computing-oriented equipment calling method and an edge-computing-oriented equipment calling device. The edge-computing-oriented equipment calling method comprises thesteps of: establishing an equipment calling resource library according to operating states of processing equipment, a current planned production task number, a current completed task number, single-piece task time and the like after a new production task requirement instruction is sent out; establishing a task chart structure of edge side equipment in the equipment calling resource library according to the relevance, dependency and substitutability analysis of equipment required by a new production task, adopts a Dijkstra algorithm on the premise that the new production task is completed to obtain an equipment calling scheme with the fewest production time. The edge-computing-oriented equipment calling method and the edge-computing-oriented equipment calling device solve the problems of multi-task equipment calling conflicts, poor real-time performance of calling scheme and the like for the equipment calling problem in multi-task production, have flexibility and expandability, and improve the resource utilization rate of equipment scheduling in multi-task production.

Description

technical field [0001] The invention belongs to the field of advanced manufacturing technology, and in particular relates to a method and device for dynamically acquiring production resources based on an edge-side production environment. Background technique [0002] Equipment retrieval is an important part of production system scheduling and an important means to realize production planning. Rapid and scientific equipment retrieval is an important guarantee for optimal allocation of production resources. The current production tasks in the machinery manufacturing industry have the characteristics of multi-step and interrelated. When selecting equipment for multi-task and interspersed tasks, there are often multi-task equipment call conflicts and poor real-time call schemes. [0003] The current method of equipment retrieval takes more into account the constraint relationship between multi-tasks and the quantitative assumptions of production tasks. However, there is a dynami...

AI Technical Summary

Problems solved by technology

The current production tasks in the machinery manufacturing industry have the characteristics of multi-step and interrelated. When selecting equipment for multi-task and interspersed tasks, there are often multi-task equipment call conflicts, and the real-time performance of the call plan is poor.

[0003] The current method of equipment retrieval takes more into account the constraint relationship between multi-tasks and the quantitative assumptions of production tasks. However, there is a dynamic competition between multiple tasks, and the production status of equipment is also changing in real time. It is difficult to realize rapid decision-making on the production site and complete equipment Optimal selection of calling schemes

Images