The paper related to the problem of creation the new technology of multi-agent control for industrial automation -creating the automated system, realising multi-recipes production of a large number of types with logical processing of contradictions. This required to find a proper software decisions for distant access, reprogramming and monitoring the production line even during it's functioning. The created system of logical processing, basing on brunching time logics, and parallel software, controlling production line as well as the imitation modelling, are a new way for intelligent industry 4.0.
Increasing the efficiency of underwater operations with the help of automatic machines can be achieved by using a robotic complex in a special configuration -with a functional division into three interacting parts: a remote control panel with an operator; a basic underwater walking platform, connected by a cable with the control panel for information and energy supply; a group of autonomous robots with increased maneuverability, having information communication lines with the base station via a contactless channel. Within the framework of this concept, the paper considers and solves the main problems of creating information-control systems for such robotic systems, including the necessary communication tools. One of the key solved problems was constructing the proper sensor-control real-time software system. The paper was partially supported by RFBR, projects 16-
The paper is related with the design of the workshop and it's transport system according with the principles of concept Industry 4.0. At the stage of development and design of the transport system the main attention was required to be paid to the problem of accurate positioning. To organize timely stopping and accurate positioning of the heavy trolleys, it was decided to use an induction proximity switches with a special program for motion prediction and high-speed data processing by micro-PC. Also it is considered the problem of creating electronics to make a proper control for varies transport robots.
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