Production line scheduling system and method based on multiple intelligent bodies

Abstract

The invention belongs to the related technical field of production scheduling, and discloses a production line scheduling system and method based on multiple intelligent bodies. The production scheduling system comprises a global management module, a controller intelligent body and a sub-controller intelligent body, and the global management module is a manager of the highest level in the production scheduling system and has the highest management authority; the controller intelligent body is the core of the production scheduling system and comprises a resource module, a planning calculation module and a task management module, and the resource module is used for storing resource information of the sub-controller intelligent bodies; the planning calculation module decomposes the task and sends the task to the task management module; the task management module sorts the decomposition tasks according to a priority sequence and then distributes the decomposition tasks to the sub-controller intelligent bodies; and the sub-controller intelligent body is used for executing the task sent by the task management module. According to the invention, the independent operation capability of theintelligent body is ensured, and the working efficiency and management capability of the scheduling system are improved.

Description

technical field [0001] The invention belongs to the technical field related to production scheduling, and more specifically relates to a production line scheduling system and method based on multi-agents. Background technique [0002] With the continuous advancement of science and technology, concepts such as intelligent manufacturing, distributed computing, Internet of Things, and artificial intelligence have emerged as the times require. People are also constantly putting forward their own needs for commodities. Personalization and diversification have increasingly become people's primary choice. , which also correspondingly puts forward higher requirements for manufacturers, which are mainly reflected in the following aspects: (1) The previous "small variety and large batch" production mode is no longer applicable, and it is replaced by small batches with multiple varieties or even Single-piece customized production; (2) The current scheduling system is mostly composed of...

AI Technical Summary

Problems solved by technology

[0004] Ningbo Saifu Technology Co., Ltd. applied for the patent of "factory intelligent workshop real-time scheduling system" (patent number: 201610403522.5). The patented factory intelligent workshop real-time scheduling system uses intelligent and information technology to control the workshop production line, logistics transportation system, and production System, alarm system, etc., can effectively improve the production management level of the dispatching system for the factory, but the alarm system is more to detect the temperature, brightness, air quality, noise, etc. of the environment, and does not involve the failure of production equipment The collection and analysis of information and the production rescheduling caused by faults, and the feedback on the addition and removal of workshop equipment are not timely enough, which affects the practicability of the system; The feature of the patented autonomous dispatching system is that it sets up corresponding agents for all workpieces, equipment and logistics tools, collects data during the production process, and reports failures in time, which can guarantee the robustness and reliability of the system to a certain extent. The diagnosis of faults is relatively simple, without fully considering the impact of fault types, and only considering a factory at a fixed location in production control, without taking into account the distributed manufacturing resources of the enterprise, so it is not a universal scheduling system; that is, The current multi-agent scheduling system has the following problems: (1) The function of the agent is too single, which makes the coupling between each agent too high, the autonomy of each agent is not enough, and it does not have the ability to solve problems independently; (2) The conflict coordination scheme between agents is too simple, without fully considering the idle resources and capabilities of other agents, and the scheduling results obtained are not good enough; (3) The rescheduling ability for emergencies is not enough, so it cannot Response rescheduling plan

Images