Material delivery task dynamic distribution method based on internet of things technology

Abstract

The invention provides a material delivery task dynamic distribution method based on an internet of things technology. Based on the real-time state information of carrying carriers and the work mode that the carrying carriers scramble for tasks, the most suitable material carrying task set is actively obtained, and an efficient and feasible task distribution model and method are provided for the timely distribution of production materials from the three aspects of the dynamic distribution strategy of the tasks, the task dynamic distribution method based on the real-time state of the carrying carriers and the combinatorial optimization of the tasks,. As the real-time position information after the carrying carriers unload, the task dynamic combinatorial optimization facing to the capacity of the carrying carriers and the like are fully considered in the method, compared with the traditional material delivery task optimization method, the method has the advantages that the defects that the computation complexity of an original distribution strategy is high, the optimization time is long, and the change of material delivery tasks is difficultly dynamically responded are overcome, the efficiency of workshop distribution is improved, the carrying cost is saved, and the digital precise distribution and the intellectualization of material distribution management are better realized.

Description

technical field [0001] The invention relates to the technical field of dynamic allocation of material delivery tasks, in particular to a method for dynamic allocation of material delivery tasks based on the Internet of Things technology. Based on the real-time status information of the handling carriers (such as carts, AGVs, forklifts, etc.), actively obtain the most suitable material handling task set, and provide an efficient and feasible task allocation model and method for the timely delivery of production materials. Background technique [0002] In recent years, with the rapid development of technologies such as industrial wireless networks, sensor networks, radio frequency identification (RFID), and micro-electromechanical systems, the research and development process of manufacturing companies has changed from the traditional "black box" model to the "three-dimensional space plus time The development of the "dimension, transparency and ubiquitous perception" model put...

AI Technical Summary

Problems solved by technology

However, this centralized allocation method is difficult to deal with the NP-hard problems caused by the large number of moving tasks, moving employees and moving carriers, that is, it is difficult to obtain the global optimal solution, and the optimization time is long, and it is difficult to adapt to the problems caused by production changes, etc. Real-time optimization of material distribution tasks; 2) The status information of the carriers (such as carts, AGVs, forklifts, etc.) as the main body of material handling is seldom considered in the existing material distribution model. However, for the dynamic allocation of material handling tasks , the real-time location information after unloading will provide very important basic information for selecting the next handling task; 3) The existing material distribution models and methods rarely involve the combinatorial optimization of handling tasks. In fact, through the applicant in recent years In the project where the enterprise implements production preparation management, it is found that the combination of handling tasks combined with the capacity of the handling carrier has an important impact on improving the efficiency of material distribution and reducing material handling costs

Images