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Mathematical Models and Methods of Formation of Intelligent Computer Networks for Control of Power Supply and Optimization of Power Consumption of Railways

机译:智能计算机网络的数学模型和方法,用于控制电力供应和优化铁路用电

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摘要

The key directions of evolution of innovative transformation of railways electric systems are studied. It is shown that the solution of complex problem of power supply optimization and creation of energy saving technologies is possible by intellectualization of fast-flowing technological processes of power consumption. The paper has proposed the conceptual approach and the set of principles for formation of intelligent computer networks focused on obtaining a new knowledge in the field of railway power engineering and capable to solve a set of problems that traditionally belong to a class of the creative. By applying available excess computing performance at any point or segment of the object topology the paper makes a scientific substantiation of formation of mathematical models and methods of increased intellectual complexity and dimension focused on identification of new special knowledge in the field of railway power engineering. There were proposed differential mathematical models for determining comprehensive information content of a primary information, conducting the spectral analysis of primary data, studying a computer architecture control level of traction substation, determining probabilities of states of computer network nodes, bandwidth, the number of failures of service calls and busy channels. The mathematical model of cybersecurity of the computer environment is developed, criteria of cybersecurity are formalized and the strategy of ensuring cybersecurity based on the minimax principle is developed.
机译:研究了铁路电气系统创新改造的关键方向。结果表明,通过智能化快速流动的功耗技术过程,可以解决电源优化和节能技术创新这一复杂问题。本文提出了用于形成智能计算机网络的概念方法和原理集,其重点是获得铁路动力工程领域的新知识,并能够解决传统上属于创意类的一系列问题。通过在对象拓扑的任何点或部分应用可用的过剩计算性能,本文对形成数学模型的方法进行了科学证实,并增加了智力复杂性和维度的方法,重点是在铁路动力工程领域识别新的特殊知识。提出了用于确定主要信息的综合信息内容,进行主要数据的频谱分析,研究牵引变电站的计算机体系结构控制级别,确定计算机网络节点的状态概率,带宽,故障次数的微分数学模型。服务电话和繁忙的频道。建立了计算机环境网络安全的数学模型,规范了网络安全的标准,并提出了基于最小最大原则的网络安全保证策略。

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