Workshop production information management method, system and device based on internet of things

Abstract

The invention discloses an Internet-of-Things-based workshop production information management method, system and device. The method comprises: an equipment state and production information of a workshop are collected in real time by using the Internet of Things technology; edge calculation is carried out on collected results; data correlation is carried out on the edge calculation result and a statistical report is generated; on the basis of a deep learning algorithm, data analysis is carried out on the statistical report; and according to the data analysis result, the workshop is controlledremotely. In addition, the system is composed of an acquisition module, an edge calculation module, an association module, a data analysis module and a remote control module. The device includes a memory and a processor. According to the invention, remote manual control or remote automatic control on the workshop equipment is carried out directly; the control mode is flexible; the manual analysisprofessional engineers is not needed; the work efficiency is improved; the labor cost is reduced, and the real-time performance is improved. The Internet-of-Things-based workshop production information management method, system and device can be applied to the field of the Internet of Things widely.

Description

technical field [0001] The invention relates to the field of the Internet of Things, in particular to a method, system and device for managing workshop production information based on the Internet of Things. Background technique [0002] In actual production, the company has problems such as delayed production progress, high defective rate of finished products, and serious waste of production materials. These problems seriously restrict the development of the company. As the core and most important part of factory manufacturing, production information management directly affects the quality, quantity, price and delivery date of the company's products, and is also indirectly related to customer satisfaction. [0003] Manufacturing enterprises are facing increasingly fierce international competition, and enterprises begin to pay more attention to how to quickly respond to market changes, and to meet customer needs by continuously improving service quality. However, the tradit...

AI Technical Summary

Problems solved by technology

However, the traditional production site management lacks effective monitoring tools for production site information such as real-time output rate, online yield fluctuation, and process stability. Problems can only be remedied after the event, and the real-time performance is not strong. changing competitive needs

The existing technology uses the camera to cooperate with the sensor to obtain the information of each equipment in the workshop, but it still requires professional engineers to analyze the data in the background, which is inefficient and high in labor costs

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