Program - 2017

In the presentation I will talk about the project for optimization of service vessels for the offshore transport of the customer from around the world. Will consider the business case, the main problems and their solutions when implementing analytical processing and correlation of data from different systems.This project is a typical example of the use of the approach for predictive maintenance of components and assemblies based on deep analysis of historical data telemetry systems.

Classic business models of manufacturers of systems engineering in the age of cloud technologies are undergoing a fundamental change: commissioning, diagnosis and service - it does not need to go to the object, all visible from the workplace staff engineer. Remain in the business chain position low installation and service companies? And what hidden features give cloud technology for them?

In an era of rapid growth of unstructured data is difficult to achieve petabytes of data make a profit and not a loss: the economic component is an important element, at the same time saving leads to lower reliability and availability - a vicious circle. In the report I will present a new solution that redefines ways of storing unstructured data.

Deep integration: automation, security and IT - boundaries no longer exist. 1. Modern approach to automation - application of IT-technologies in building automation systems (D.Sass) 2. LogicMachine hardware and software platform for integration of almost any automation and safety systems, as well as IoT (D. Sass) 3. Case study : profitable integration of SSO Satel and KNX-systems based on LogicMachine controllers (D.Verevkin) - optimization of equipment composition (without duplication of devices in different systems); - ease of adjustment and high reliability of professional SEO; - a single interface for managing the "smart house" and OPS; - an integrated system is cheaper than two stand-alone systems; - the possibility of putting the facility under protection in the PSC; - availability of implemented projects. 4. Automation goes to a new level: integration with business and analytical systems based on machine learning. (D.Sass)