The article discusses identification methods in industry and equipment presented on the Russian market for marking and identification of objects. The purpose of the article is to analyze the equipment and installations available on the Russian market for marking and identification of straight-seam steel pipes in production. A comparison of methods based on a scoring system for marking and identification of straight-seam steel pipes in production is presented. Barcode marking technologies using labels, laser marking and RFID tags are presented and considered as identification methods.

Keywords: barcoding, laser marking, RFID tag, straight-seam steel pipe, thermal label printer, automated identification system

The article discusses the concept of a system for automatic identification and traceability of pipe production at the stage of hot rolling. The main stages of pipe production are presented. A table of selection of technological parameters has been compiled. The structure of the database for the system of automatic identification and traceability of pipe products has been developed.

Keywords: raceability, automatic identification, pipe production, hot rolled products, quality management system

The article reviews considers the current state of automated process control systems. The main disadvantages of these systems are identified: the lack of full integration of process control systems into a single enterprise system, the lack of a single system of monitoring and diagnostics of equipment, local data storage. The principles of development of automation of the chemical industry in the conditions of digital production, such as end-to-end modeling, implementation of a unified data collection system based on the technology of industrial Internet of things, the introduction of cloud technologies to store the accumulated database and knowledge. This strategy of automation development allows to increase the competitiveness of the chemical industry.

Keywords: production automation, digital production, end-to-end modeling, industrial Internet of things, production management integration.