In this paper, we consider the need to create an algorithmized digital platform for the development of electric charging networks of road transport and to optimize the load on the current power grid complex. In modern conditions, this platform can become an example of a mechanism for public-private partnerships and the development of environmentally friendly transport. The purpose of the platform is to provide users with up-to-date information about the state of the electric vehicle battery, reduce the cost of creating a network charging infrastructure for electric vehicle transport, automated resource accounting for power supply companies, and other services. The use of information technologies to combine the processes of economic relations in the field of energy sales services will attract funds for infrastructure development by increasing the load factor of generating capacities and unloading power centers. In the article, the authors propose a digital platform architecture using modern technologies such as IIoT, Vehicle to Grid (V2G), Machine learning, Big Data.

Mining enterprises are widely introducing digital technologies and automation is one of such tools. Granularity monitoring, namely, the size determination of rock mass pieces is a common operational component of the processes that extract minerals by open-pit mining. The article proposes an approach that, in addition to the lump size distribution, makes it possible to estimate the lump form distribution as well. To investigate the effectiveness of monitoring the form of blasted rock mass lumps, the authors conducted experiments in four stages related to the rock condition. They include geological occurrence, explosive crushing, trommelling, and mill crushing. The relationship between these stages is presented and the change in the lumps fragment form is traced. The present article proposes an informational and analytical model of the processes at mining enterprises, extracting minerals by open-pit mining, as well as an algorithm for determining the lumps form and obtaining their distribution in the rock mass.

The extraction of oceanic ores will make it possible to extract a complex of strategic metals: manganese, nickel, copper, cobalt, molybdenum, zinc. The following materials are considered as cost-effective mineral raw in the ocean: manganese nodules – MN (Mn, Ni, Cu, Co), cobalt-rich manganese crusts – CMC (Co, Mn, Ni), deep-sea polymetallic sulfides – DPS (Cu, Zn, Au, Ag). As an example, the Indian concept of deepwater development is described, which proposes to use the pipeline as a transport of minerals from the bottom. The calculation of the pipeline transportation system with the indication of shortcomings is given. As an alternative, it is proposed to use a lift of a self-propelled device for minerals on a cable made of special material. The article presents a device for deep-sea mining of MN with pressure drop chambers. The method of application of this device for collecting CMC is replacing the pressure drop chambers with the clamshell type device. The grab must be made of strong and at the same time light material and can be equipped with a hydraulic hammer for preliminary destruction. Elements of the shock system of the hydraulic hammer must also be adapted to the conditions of deep-sea mining by using special metal alloys for manufacturing. The destroyed mass is temporarily stored in a hopper mounted on a collector, which can be made of nylon mesh stretched between plates of titanium alloys. The calculation of the performance of the device for deep-sea mining from is presented.