The paper describes basic requirements for a modern supervisory control and data acquisition system (SCADA), in particular for monitoring systems of complex industrial facilities. It is known that many robotic processes require non‑destructive testing with pattern recognition elements within a common monitoring system. On the widely used GENESIS64 SCADA example, it is considered a solution based on the hardware and software platform RT -XDC of RASTER TECHNOLOGY digital cameras, allowing to integrate into the system of this class any set of complex sensors such as digital cameras that support standard interfaces, built -in processing and data analysis. In addition, it is proposed the hierarchical model of complex objects monitoring and the universal way of its representation on the Moscow metro station network example, which includes four levels: the model map level, the model level, the model objects level and the level of their attributes. The considered data structure, which have to operate in solving the common monitoring task, make a choice in favor of object -oriented databases application like IPR, used in Delta Design CAD. The results were obtained during the development of experimental software that allows visualizing 3D models and displaying information about the selected object in the form of any predetermined structures.
Методики оценки производительности гетерогенных вычислительных систем Article is devoted to the performance evaluation of heterogeneous computing systems (platforms). The article substantiates the relevance of the use of problem-oriented configuration of computational systems for automated systems of information processing and management. The proposed mechanism is parallel and pipeline processing allowing to parallelize the task and thereby improve system performance. For interaction between modules it was proposed to use MPI-message passing interface between processes that perform a single task. The performance measurement was performed using recognized test kits Intel "MPI Benchmark" and "LINPACK HPL", which allow to fully assess the effectiveness of the computing system and its relevance for the user. Given the graphics performance of the heterogeneous computing complex "profit center" in dealing with complex problems of linear algebra. The results obtained confirm high efficiency of MVP for various applications.
Problem statement. When creating monitoring systems for industrial facilities for a range of purposes, it becomes necessary to solve processing and storing objects with a complex data structure. The user must be provided with tools for processing and storing the defined data and object types that they have defined.Objective. Development of a software implementation of the interface for interaction with the database built into industrial facilities’ monitoring system.Results. A software interface for interacting with an object-oriented database has been developed. Three programming classes are used to describe various types of industrial system objects. Class methods have been developed that allow setting a variable number of attributes for different object types. The authors propose a method for extracting an object with specified attribute values, similar to the QBE method, and a method for complex (natural) queries written in the application development language.Practical implications. The proposed software implementation of the interface for interaction with the built-in database can be used to create a wide range of industrial monitoring systems. This approach allows to significantly reduce the computing resources required for the implementation of such systems, reduces the time and cost of their development.
The article discusses the use of graphics processing units for solving large system of linear algebraic equations (SLAE). A heterogeneous multiprocessor computing platform produced by the NIIVK, whose architecture allows the integration of general‑ purpose microprocessor modules with graphics processor modules was used as an equipment for solving SLAEs. The description of the SLAE solution program, developed on the basis of the CUBLAS CUDA software interface library, is given. A method is proposed for increasing the accuracy of calculations of linear systems based on the use of a modified Gauss method. It has been established that the use of the modified Gauss method practically does not increase the program operation time with a significant increase in the accuracy of calculations. It is concluded that the use of graphics processors for solving SLAEs allows processing matrices of a larger size compared to the use of general‑purpose microprocessors.
To predict the air situation, a method of modeling the movement of air objects is proposed. This method is taking into account the impact on the intended flight path of the terrains landform and the type of aircraft. On the basis of the proposed methodology, a set of modeling programs, which is a web‑based information system, was developed. The developed set of programs includes a module for generating calculated data and a module for displaying the trajectory of air objects on the screen of the operator’s workplace. The software module of calculation data formation allows to extrapolate the position of the object in the air space in accordance with the given scenario and to record the received information in the database. The display module makes it possible in real time to form on the geographical map the trajectory of air objects and show warnings about the threats of their rapprochement with aircraft.
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