Построение модели предметной области динамически реконфигурируемых интерфейсов интернет - вещей
In the past decades Foresight has been significantly developed as a tool for long-term forecasting in the field of power generation and energy efficiency. Such research aims at investigation of the most promising innovation strategies in this area, identifying various (including alternative) ways to achieve technological and market goals with the participation of best qualified experts. Such Foresight method as Roadmapping is widespread in the world practice. It helps to shape complex and interrelated views on prospects of innovation development in specific areas of energy efficiency, it links R&D programmes with creation of technologies and products, as well as their subsequent commercialization. The paper provides an overview of the world Foresight experience aimed at creating vision of the future and building innovation strategies related to energy efficiency. Special attention is paid to the Russian research practice, in particular to different types of Foresight projects implemented by the specialists of State University - Higher School of Economics. The authors describe the results of main projects dedicated to shape the future of energy-efficient technologies and to develop of innovation strategies on their application.
A fridge plays an important role in the kitchen in comparison to other appliances because it helps to store food products at optimal conditions for a long period of time. The ordinary refrigerators perfectly allow preserving meals but they are not effective in case of food management. Providing a remote control for home appliances extends the everyday usage of these devices. In addition to the remote control device, some manufacturers use additional modules such as internal cameras and hands-free speaker for convenient control of an appliance. All these devices are able to communicate with each other to reach common goals. The home appliance producer Liebherr in cooperation with technology company Microsoft developed a solution for remote control of refrigeration with possibility of food recognition using Machine Learning algorithms. This option enables automatic compiling of the list of food stored in the fridge and food ordering in an online shop without manual actions. This opportunity enables not only a convenient usage of an appliance but also allows reduction of electricity consumption because user does not open fridge doors frequently as far as he knows a list of food in refrigerator. In this paper we describe SmartDevice technology from Liebherr that was developed for adding smart features to the brand products. In particular, we review main business processes of SmartDevice, discuss advantages and disadvantages of this solution for the end customers and identify future research for creating smart fridges.