THE ECONOMICS OF AUTOMATION BASED ON SYNTHETIC NERVOUS SYSTEMS

It is obvious that the Russian Federation can achieve technological independence only by developing its own technologies, but not by copying and taking foreign developments as a basis. The author’s concept of building automated control systems described in this article is unique and is not applied anywhere in the world. Bionic principles put in its basis allow to achieve high economic efficiency in the construction of automated control systems, gives a good competitive advantage to the subjects of economic activity when using the described technology. The proposed method is based on the concepts laid down by nature in the nervous systems of invertebrate living organisms. The article shows that the proposed approach reduces the time and financial costs of building automated systems, makes the scaling of systems very simple, and maintenance and repair relatively cheap. The principle of the “bush of devices” formed by an artificial neuron proposed by the author significantly reduces labor, time and financial costs of creating a cable system. The principle of automatic determination of the type of devices connected to the artificial neuron eliminates financial costs for programmer’s services and saves considerable time during system integration. The reliable Ethernet local area network protocol for connecting artificial neurons into a single system (replacing the long outdated RS-485) allows building systems of huge scale, with the possibility of reliable interaction of each neuron with any other neuron of the synthetic nervous system. The TCP/IP protocol stack, which is the basis for data transmission between neurons, makes it possible to easily debug the system and build advanced graphical user interfaces that work on all computing devices that have a Web-browser.