Production line equipment control method and device based on combined model, equipment and medium

Abstract

The invention discloses a production line equipment control method and device based on combined model, equipment and a medium. The method comprises the steps that a cloud platform obtains training data and a training model; the training model is a model formed by combining at least two associated single-factor models in a business scene, and the training data is associated with the business scene; the cloud platform trains a training model based on the training data, and sends the trained training model to edge equipment when it is determined that the training model reaches a convergence condition; and the edge equipment is used for acquiring model output data according to real-time data sent by the trained training equipment and the production line equipment, and controlling the production line equipment based on the model output data. According to the scheme, the training model related to the business scene can be obtained in a flexible combination mode, the trained training model is sent to the edge equipment, the edge equipment controls the production line equipment based on the trained training model, and production optimization of the production line is achieved.

Description

technical field [0001] The embodiments of the present application relate to the field of data processing of cloud platforms, and in particular to a method, device, device and storage medium for controlling production line equipment based on a combination model. Background technique [0002] The traditional manufacturing industry has long been at a production level of low automation and low intelligence. Especially in the manufacturing process, the equipment and processes used have not been upgraded in time for a long time, facing the low degree of intelligence of the production process and the uncontrollable production process. , resulting in unstable production quality and high production energy consumption. [0003] At present, there are two main ways to digitize and optimize the production process of the manufacturing industry. One is to install sensors on the production line and collect basic data through the Internet of Things, and do simple data statistics and analysis...

AI Technical Summary

Problems solved by technology

However, the first method only realizes one-way reporting of data, without real-time processing and control of various data on the production site, and cannot optimize the production of the production line

The automation algorithm in the second type of method cannot be modified after it is determined, and its flexibility is poor. It is difficult to combine multiple algorithms to form a new functional algorithm, resulting in high development costs, and the cloud and local operating environments are different. After cloud testing and development are completed , it also needs to be adapted to the local development environment, and joint debugging and delivery are difficult

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