Open AccessApplication of a network model based on multivariate graphs with a dynamic structure for generating network schedules for the creation of early warning radar stations
Author(s) -
С. Ф. Боев,
A. S. Logovsky,
A. M. Kazantsev,
A. V. Ivoylova,
А. В. Тимошенко,
P. N. Trishkin
Publication year - 2020
Publication title -
radiopromyšlennostʹ
Language(s) - English
Resource type - Journals
eISSN - 2541-870X
pISSN - 2413-9599
DOI - 10.21778/2413-9599-2020-30-3-8-20
Subject(s) - radar , computer science , schedule , warning system , real time computing , process (computing) , representation (politics) , operations research , data mining , telecommunications , engineering , politics , political science , law , operating system
The process of creating modern early warning radar stations is characterized by minimizing the cost and time of work at the same time by reducing the risks associated with the use of new technical solutions. The article considers a variant of a typical representation of a network schedule for creating an early warning radar stations. It is noted that the schedule drawn up in this way is some approximation to the actual work being performed, as a result of which the necessary design decisions to adjust the process of creating early warning radar stations are taken late. The use of a network model is proposed for effective management of the radar creation process and the formation of network schedules for both individual stages and the entire project as a whole. Based on the analysis of a unified range of early warning radar stations, it is noted that the network model for reducing the risks of creating a radar should take into account both the multivariance of the tasks to be solved and the uncertainty of the parameters of the work performed. The main features of the proposed model are considered. The implementation of the proposed network model in the design of radar design for complex atmospheric research is shown as an example. During the research, several variants of radar implementation were considered and the optimal one was selected according to the proposed criteria.