Проектирование архитектуры информационной системы управления энергоресурсами
The article considers the architecture of the ventilation control system for underground mining enterprises, equipped with a digital twin with online functions such as simulation modeling and predictive analytics. The system is focused on the main fan unit (MFU) control taking into account changing parameters of external air supplied to mine shafts. In contrast to the existing ones, the proposed method of control takes into account the influence of these parameters on changes in the total volume of natural draught, on which the total volume of air supplied to the mine (mine) depends. It is known that ventilation systems of such enterprises consume from 30 to 50% of all electricity consumed for the mining process. In this regard, the proposed control models can be used to optimize energy costs and energy savings in ventilation. The Internet of things (IoT) InfluxData of stack TICK is offered for the realization. The offered architecture of cyber-physical system (CPS) consists of four subsystems: physical object subsystem, network and computing infrastructure IoT, digital twin, user interface. Architecture of CPS provides data processing from energy meters, control controllers and sensors of air environment parameters, implemented in blocks of on-line and off-line calculations. The digital twin of the ventilation system is made with the use of a time series database and a database of attributes that store information on changes in equipment parameters by time, air indicators, performance indicators, statistics on accidents and fan runtime, CPS characteristics, etc. CPS of the given architecture means connection of additional data sources, providing calculations of rational volumes of air delivery taking into account safety norms and requirements of energy efficiency.
Cyber-physical systems (CPS) are widely used due to the “Industry 4.0” concept development within which digital enterprise transformation and the use of new management techniques based on the Internet of Things (IoT) and Big Data analytics assume primary importance. In general, CPS is a class of information systems whose computational elements are integrated into physical processes and objects; such systems can interact with each other using Internet protocols. The growing number of situations requiring CPS implementation determines the necessity of CPS design that takes into account the specific factors of a subject area. The CPS structure includes hardware and software which in many ways affect the security and cost of a technical solution, the convenience of user interaction with the system. A significant CPS programs feature is ensuring long-term performance and high sustainability which is largely complicated by the lack of unified solutions (templates) for CPS software design. This obstacle affects the realization of other software requirements as well. The purpose of the study is to identify ways to optimize the cost/quality ratio of the CPS software being designed that uses the technologies of the Internet of Things and present findings in the form of recommendations suitable for further use. One of the methods that realize complex organizational and technical solutions evaluation is Value Engineering (VE). CPS software functions have been identified and the anticipated system software structure has been determined. The results of applying the VE method to CPS software have been reflected and the conclusions considering the practical significance of the study have been drawn. The analysis has been carried out within the priority area of scientific development established in the National research university Higher school of economics (Perm) – “Research on control methods in cyber-physical systems”.
Architecture of the compressor equipment cyber-physical system (CPS) based on the InfluxData IoT platform is proposed. CPS consists of three subsystems: a subsystem of a physical object,
a digital twin and an interface. As a technical implementation of the IoT controller, a measuring and control module based on a data acquisition, data transfer and control device — VIDA350. The basic methods of processing raw data from energy meters and sensors of technological parameters, implemented in blocks of on-line and offline calculations are given. The organization of the digital twin of the compressor using the database of time series InfluxDB and the relational database PostgreSQL. Grafana system and FreeCAD is used for visualization of equipment in 3D.