In modern industry, welding plays an important role for jointing materials and arc welding has been the dominant process for many years. In general, in order to produce a high-quality weld, the system should have two main functionalities. First, it should have the capacity of directing the welding torch based on the detection of the joint location and geometry, namely “seam tracking”. Second, the system should be able to adjust the welding parameters, namely “adaptive control of the welding condition". Both functionalities heavily rely on the sensor systems. The analysis of welding technological processes, adaptive control and intelligent  systems proved the  opportunity of utilization artificial neural networks in the procedure of  weld seam tracking and weld head movement control. Welding process engineering and adaptive correction with artificial neural networks  are considered in the paper both with the computer vision system based on video monitoring and laser profilоmetry.  The paper is focused on the development of a proper sensor system to facilitate the arc welding automation and neural network-based control to provide precise seam tracking and high-quality joints.   

Keywords: Adaptive control system, automatic welding, advanced welding equipment, adaptive welding technology , welding, pipeline.

Recently, in the process of creating a single information space worsened organization relevant databases in geographically separated units of one company, no common local area network and to allow for working with databases via the Internet. The main solution is to organize the synchronization of electronic data on external media.
The developed application allows an automated procedure to find differences in the databases of reference materials and assortments, add to the database of any of the divisions of the elements that are missing from it, and are available in the other areas.
The present article is intended for those engaged in the organization of a common information space in the field of design and technological preparation of production through the creation and administration of topical databases.  

Keywords: database, reference of materials and assortments, algorithm, synchronization, program, enterprise