Full life cycle management system of internet of things in discrete manufacturing industry

Abstract

The invention provides a full life cycle management system of the internet of things in the discrete manufacturing industry. The full life cycle management system comprises a storage module stored with order information, an order analysis module for discomposing the order information into first order sub-information and second order sub-information and meanwhile storing the first order sub-information and the second order sub-information in the storage module, a first RFID card sender for writing the first order sub-information into corresponding first RFID cards, a card reader for reading the first order sub-information in each corresponding first RFID card and second order sub-information and second RFID card information in second RFID cards and uploading the information to the storage module, a controller for retrieving corresponding second order sub-information from the storage module, sending the second order sub-information to second RFID cards and writing the second order sub-information into the second RFID cards. The full life cycle management system establishes a perfect and integrated production quality monitoring and management system suitable for the discrete manufacturing industry.

Description

technical field [0001] The invention belongs to the field of discrete manufacturing, and in particular relates to a full lifecycle management system of the Internet of Things for discrete manufacturing. Background technique [0002] With the deepening of my country's marketization and the transformation of economic structure, discrete manufacturing enterprises are facing unprecedented market competition. Discrete manufacturing enterprises must improve production efficiency, improve product quality, reduce costs; and meet the diverse and individual needs of customers. There is a clear gap between my country's discrete manufacturing industry and the international level in terms of management level, manufacturing capacity, quality and price. Discrete manufacturing presents new challenges. [0003] The quality problems of the whole machine (product) in the discrete manufacturing industry (for example: automobile safety issues) have attracted great attention from consumers, gove...

AI Technical Summary

Problems solved by technology

This method brings about poor data reliability, low operating efficiency, difficult statistical analysis, and slow extraction of useful information for the enterprise.

Obviously, this traditional management model can no longer adapt to the development trend of today's discrete manufacturing enterprises, especially with the advent of the information age, it is imperative to strengthen the discrete manufacturing industry itself, adopt advanced management models to enhance competitiveness, and meet the information revolution. Realistic and critical problems facing discrete manufacturing enterprises

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