Production workshop real-time optimization method based on Internet of Things manufacturing

Abstract

The invention provides a production workshop real-time optimization method based on Internet-of-Things manufacturing. The method comprises the following steps: firstly configuring a proper sensor fora manufacturing resource in a production workshop through a manufacturing Internet-of-Things technology, and collecting and obtaining the real-time manufacturing data of the workshop; secondly, dividing the total production time into a plurality of time windows T, and making a decision at the beginning of each time window T to generate a production plan; meanwhile, minimizing the maximum completion time and minimizing the maximum load of a single machine; and finally, dividing each time window T into a plurality of moments t. And at each moment t, according to the real-time manufacturing information of the workshop, real-time scheduling is carried out by considering the minimum maximum completion time, the minimum machine total load and the minimum production total energy consumption. By collecting the real-time manufacturing data in the manufacturing workshop, the real-time scheduling process based on the real-time information is achieved, and the production efficiency of the workshopis improved.

Description

technical field [0001] The invention relates to the technical field of real-time scheduling of production workshops. Based on this method, through the collection, acquisition and processing of real-time manufacturing data in the production process of workshops, data support is provided for the realization of real-time scheduling of workshops, thereby improving the accuracy of real-time scheduling of workshops and real-time. Background technique [0002] With the rapid development of information technology, network technology, cloud computing technology, and Internet of Things technology and their wide application in manufacturing systems, the production mode of manufacturing enterprises has changed from the traditional "black box" mode to "multi-dimensional, transparent, pan- The brand-new mode transformation of "in perception" puts forward higher requirements for real-time monitoring and real-time optimization of the production process. The real-time scheduling of the prod...

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Problems solved by technology

[0005] The above research and inventions have greatly promoted the real-time scheduling of the workshop, but there are still the following problems in the real-time scheduling based on real-time manufacturing data: 1) In the production process, only the goal of the workshop scheduling layer is directly optimized, without considering Workshop task requirements; 2) Real-time scheduling based on real-time manufacturing data is not really realized in the production process

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