RU2776323C9 - Method for professional training of officials of radio monitoring management bodies - Google Patents

Abstract

FIELD: professional training.

SUBSTANCE: invention relates to the field of modeling and can be used as educational or training tools for the professional training of officials of management bodies (OMB) of radio monitoring (RM). A method for professional training of officials of radio monitoring management bodies, which consists in the fact that at the preparatory stage, workplaces are formed on the basis of a local network for training the trainees, various scenarios of the operational situation are set, involving the formation of a radio-electronic environment. The content of the radio-electronic environment is determined by dependence on the state of the objects of the operational situation, which include radio-electronic means of various types, the functioning models of which are described using a logical and mathematical description of the dependence of the radio-electronic equipment on the state of the operational situation in a given area. A set of radio communication parameters is formed in the form of a sequence of parameter vectors

, where Λ_j is a formalized rule of behavior of objects,

J is the number of rules of behavior for the duration of the scenario.

EFFECT: improvement of the quality of professional training of officials is achieved in the conditions of the formation of a complex operational and electronic environment.

3 cl, 5 dwg

Description

The invention relates to the field of modeling and can be used to simulate the actions of officials of the radio monitoring (RM) control bodies as educational or training tools, as well as to open the operational and electronic environment (REO) under the influence of external destructive influences.

The control body (OU) of the RM is understood as an integral, purpose-driven, interconnected set of part or all of the control body, maintenance personnel, technical means of control and communication, other technical and other means (in a stationary and field version), which is in motion or concentrated in a certain place - at one or several points of the terrain from which officials of the Republic of Moldova control bodies exercise control over troops (units and radio monitoring units) during the preparation and during military operations, during the period of combat duty or exercises of various purposes and nature (Yermishyan A.G. Theoretical foundations building military communications systems in formations and formations: Textbook, Part 1. Methodological foundations for building organizational and technical systems of military communications, St. Petersburg: VAS, 2005. - 740 p., p. 318).

The elements of the RM system are the RM control point and subordinate units and subdivisions of the RM.

There is a method implemented in a device for training officials of combat crews of weapons systems and military equipment ”(Pat. RF No. 2128021, publ. 27.08.2013).

The method makes it possible to simulate the operation of a command post in the conditions of training (training) of officers of combat crews by simulating the operational situation and displaying the simulation data on the means of indicating the workplaces of officials, to control the equipment by continuously monitoring the hardware and software of the control point, to evaluate the performance of the equipment and the results training of each calculation in accordance with the established criteria, to enter a situational description of a new version of the training scenario, to evaluate the strength of the associative connection between information units characterizing the situational description of the new training option and information about each previously worked out version of the training scenario stored in the working memory of the system, choose and adjust the training scenario that is situationally closest to the newly developed scenario to the degree of full compliance with the plan howl workout.

The disadvantage of this method is the low reliability of modeling the process of functioning of the control center in the conditions of training (preparation) of officials of combat crews without taking into account non-coordinate information about the situation (geophysical, astrophysical, meteorological, radiation, military, political, etc.), processes of opening operational and REO, deliberate destructive impacts on the elements of the control center by an attacker, as well as the possibility of changing its structure, taking into account these impacts.

There is a method implemented in the simulation device of the command post of the Main Missile Attack Warning Center (Pat. RF No. 2562096, IPC G09B 9/00, publ. 10.09.2015).

The method allows simulating the operational situation and displaying the simulation data on the means of indicating the workplaces of officials, controlling the equipment by continuously monitoring the hardware and software of the control point, evaluating the performance of the hardware and software of the control point, evaluating the performance of the equipment and the results of training each calculation in accordance with by the established criteria, to enter a situational description of a new version of the training scenario, to assess the strength of the associative connection between information units characterizing the situational description of the new training option and information about each previously worked out version of the training scenario stored in the working memory of the system, to select and correct the training scenario, situationally closest to the newly developed scenario to the degree of full compliance with the plan of the new training, load into working memory system information about the new training scenario as an information basis for setting a new training scenario, to recognize the degree of logical compliance of the current fragment of the training scenario with the conditions that determine the possibility of changing the situational control option when an official receives relevant non-coordinate information (geophysical, astrophysical, meteorological, radiation, military, political, etc.), form: a list of conditions and a corresponding list of options for changing non-coordinate information, analyze the generated lists and select the option to change the necessary non-coordinate information and its output to the workplaces of officials, in order to perform actions to expediently change the option situational management.

With such a combination of the described actions, an expansion of the functionality of the method is achieved for modeling the process of functioning of the command post in the conditions of training (training) of officials of combat crews, which is expressed in improving the quality of combat training of command post officials for actions and stimulating their creative activity against the background of changes in non-coordinate information about conditions that require a change in the situational control algorithm.

However, the analogue method has disadvantages: low reliability of modeling the process of functioning of the control center without taking into account the processes of opening the operational and electronic equipment in a given area, external destructive influences on the elements of the RM system from the side of the attacker, as well as the possibility of changing the structure of the RM system, taking into account these influences.

There is a known method of system-dynamic representation of the electronic environment for the training of radio monitoring specialists (Pat. RF No. 2627255, IPC G09B 9/00, publ. 04.08.2017, bull. No. 22).

The analogue method involves the formation of a logical-mathematical description of the dependence of the REO on the state of the objects of the operational environment, the scenario of which is made up in the form of a situational description in the form of rules for the behavior of objects, in the description of which additional parameters are introduced, a semantic interpretation of the scenario of the operational environment is performed based on controlled software grammars, form formalized scenario, the mechanism of operation of radio electronic facilities (RES) is represented by a hybrid automaton, the state of which corresponds to a discrete set of parameters for the functioning of the RES, the sequence of parameters for the operation of the RES and their detailing is described by a predicate function, which is interpreted as a sequence of parameters of radio communication and radio engineering support, at designated times at certain coordinates simulate the radiation of radio signals with the parameters specified by the predicate function, determine the availability of the parameters generated by the set of RES ov complexes of RM in accordance with the characteristics laid down in them, evaluate the actions of officials using the specified criteria.

The analogue ensures the formation of an appropriate REA model based on various scenarios for the development of the operational situation. The result is:

increasing the adequacy of the simulated REO to real conditions;

taking into account the probabilistic nature of the change in the modes of operation of the RES of the objects of the operational situation;

the necessary detailing of the simulated parameters of the functioning of the RES and their description on the basis of continuous-discrete circuits;

evaluation of the effectiveness of the use of RM complexes by officials.

However, the analogue has disadvantages that limit its application. These should include:

provides training (training) for officials of the Republic of Moldova only at the lower level (operators, commanders of mining units of the Republic of Moldova);

there are no reference descriptions of the actions of officials of the governing bodies in assessing the measurements of operational and EE, which does not allow automating the evaluation of the actions of trainees;

the actions of trainees do not provide for forecasting the development of operational and electronic equipment and, as a result, there is no optimization of the spatial placement of elements of the RM system;

RES formed during the implementation of the analogue of radiation of the RES are not in demand in the preparation of the DL of the RM control bodies, since in their work they use only descriptive information about the REE.

The closest in its technical essence is the method of modeling the control point (Pat. RF. No. 2640734, IPC G06F 21/00 (2013.01), G05B 17/00, publ. 11.01.2018, bull. No. 2). The prototype method consists in setting the initial data necessary and sufficient for modeling, on the basis of the t-th local network, the i-th group of workstations used to train trainees (i[1,2...N]), where N - the number of groups of workplaces of the trained crews, simulate the operational situation, including at least one of: military, ground, air, space, sea, underwater, radio-electronic, meteorological conditions, display the simulation data on the means of indicating the workplaces of officials, control equipment by continuous monitoring of hardware and software of the control point, evaluate the performance of the control point equipment, evaluate the training results of each calculation in accordance with the established criteria, based on information about each worked out version of the training scenario, a situational description of the training option associated with this information is formed and stored in in general in this, typified and compressed form, a situational description of a new version of the training scenario is entered, an assessment is made of the strength of the associative connection between information units characterizing the variant of the situational description of the new training option and information about each previously worked out version of the training scenario stored in the working memory of the system, in case of exceeding the strength of the associative connection between the information units of the newly set and one or more previously worked out scenario options for a given threshold value, the corresponding scenario options are referred to as the closest to the newly developed scenario, display the worked out scenarios that are situationally closest to the newly developed scenario, sequentially view information about all scenarios training, select and adjust the training scenario that is situationally closest to the newly developed scenario to the degree of full compliance with the plan of the new training, inf The information about the new training scenario is loaded into the working memory of the system as an information basis for setting a new training scenario, the degree of logical correspondence of the current fragment of the training scenario to the conditions that determine the possibility of changing the situational control option when an official receives the corresponding non-coordinate information, including at least one of: geophysical, astrophysical, meteorological, radiation, military, political information, form: a list of conditions and the corresponding list of options for changing non-coordinate information, analyze the generated lists by the official responsible for the operational management of the training process, the specified official selects the change option necessary non-coordinate information and its output to the workplaces of officials in order to perform actions to expediently change the option of situational management, measure, subs read, memorize indicators that characterize the processes of opening and influence by an attacker, form and deploy physical models of the functioning of the control point, physical models of opening systems and influence on the elements of the control point by the attacker, model the processes of functioning of the control point, taking into account the modeling of the functioning of the opening system of the elements of the point controls and systems of external destructive influences on the elements of the control point by an intruder, measure the number, frequency and duration of external destructive influences, while determining the elements of the control point that are most likely to be subjected to external destructive influences, taking into account the possibility of opening them by an intruder, measure the number of impacts on the elements of the point control, measure the time intervals between external destructive influences and the time intervals of the functioning of the elements of the control center until the next impact, according to the data obtained, the average operating time of the elements of the control center and the average time between external destructive influences are calculated, the degree of damage and the number of damaged elements of the control center are measured, the technical condition of the technical means of the damaged elements of the control point is assessed, the number and technical condition of the technical means of the elements of the control point are predicted , which can fail as a result of opening and exposure by an attacker, while analyzing and summarizing the accumulated statistical data, continuously monitoring the technical condition of the technical means of the elements of the control room, analyzing and summarizing the results of monitoring, predicting the number and technical condition of the technical means of the elements of the control room controls that can fail as a result of opening and impact by an attacker, form the prediction results in a convenient form for use e, they model the process of reconfiguration of the elements of the control point, taking into account the predicted values and the nature of the tasks performed, while determining the list of elements of the control point to be moved, dividing these elements into groups, for which the sectors and directions of movement, the start time of movement, the location with indication coordinates on the ground, the order of entry into communication with each other and with the elements located at the control point in the locations and in the process of moving, simulate the processes of disabling and collapsing control point elements, simulate the processes of moving groups of elements of the control point to specified areas and the processes of entering communication during movement with each other and with elements located at the control point, simulate the processes of deployment and operation of the elements of the control point in given areas, simulate the processes of entering into communication with each other and with elements located at the control point with m est deployment, simulate the processes of functioning of the elements of the control point in a given area, taking into account the organization of their protection and defense, evaluate the effectiveness of the formed structure of the control point in the framework of the tasks, simulate the process of functioning of the control point until the completion of the tasks, simulate the process of turning off, curtailing and moving elements of the control point to a given area, if necessary, adjust the physical models of the operation of the control point, the opening system and the system of external destructive influences from the attacker, and stop the simulation process.

The prototype method provides an extension of functionality to increase the reliability of modeling the processes of functioning of the control center in conditions of opening and external destructive influences, as well as the possibility of changing the structure of the control point, taking into account the tasks performed and external influences.

However, the prototype method has disadvantages that limit its application:

for each developed scenario of operational and REA, reference options (models) of actions of officials of governing bodies (DLOU) to assess the current operational and REA and change them are not formed, which does not allow automating the evaluation of trainees' actions;

no conclusions are drawn about the emerging operational and REA in a given area, and on their basis there are no control actions to the subordinate elements of the RM system;

there is no forecasting of the possible nature of changes in the operational and electronic situation and the formation of proposals for their response;

data to consumers of information about the results of the complex information and analytical activities of the DPOU are not formed. Analogues and the prototype solve the optimization problem of the own operation of the control center in various difficult conditions. At the same time, the impact of changes in operational and electronic equipment, the destructive impact on the main functions of command posts - on the effectiveness of managing subordinate elements of the system (community units and subunits, RM, electronic countermeasures, etc.) is not considered. In addition, external influences on the subordinate elements of the system should also affect the functioning of the control center of any specialization.

The purpose of the claimed technical solution is to develop a method for training officials of the radio monitoring control bodies, which ensures the improvement of the quality of professional training of the DLOU RM, by automating the training process and evaluating the collective and individual actions of trainees in the conditions of the formation of complex operational and REO, destructive effects of various nature, shortage of personnel and technology.

, где Λ_j - формализованное правило поведения объектов,

J - количеств правил поведения за длительность сценария, а в процессе тренировки моделируют процессы функционирования системы РМ с учетом внешних деструктивных воздействий на ее элементы: пункт управления, части и подразделения радиомониторинга, определяют элементы системы РМ, наиболее вероятно подвергаемые деструктивному воздействию противника с учетом возможности их вскрытия, вычисляют необходимое время функционирования элементов системы РМ в одном месте, определяют возможную степень повреждений, получаемых элементами системы РМ, прогнозируют техническое состояние средств элементов системы РМ, моделируют процесс реконфигурации элементов системы РМ с учетом спрогнозированных значений и характера выполняемых задач, определяют перечень элементов системы РМ, подверженных деструктивному воздействию и подлежащих перемещению, определяют направление и координаты следующего их местоположения, время начала перемещения, порядок организации радиосвязи, моделируют процессы функционирования элементов системы РМ в заданных районах с учетом организации их охраны и обороны, оценивают эффективность вновь сформированной структуры системы РМ в рамках выполнения поставленной задачи, а результаты деятельности обучаемых оценивают в соответствии с установленными критериями, на основании информации о каждом отработанном варианте сценария тренировки формируют и хранят ассоциированное с этой информацией ситуационное описание варианта тренировки в обобщенной, типизированной и сжатой форме, осуществляют ввод ситуационного описания нового вариант сценария тренировки, векторы параметров

входного потока событий дополняют маркером принадлежности события к соответствующей специализированной по объектам группе П_n обучаемых, n=1,2,…,N, а на подготовительном этапе дополнительно формируют базу данных в составе первого массива с данными о физико-географических условиях заданного района и района размещения элементов системы радиомониторинга, формируют компьютерные модели объектов и заносят в базу в виде второго массива данных, содержащего физические параметры объекта l_xi, l_yi, l_zi i-го типа, i=1,2,…,I, фото или радиолокационные снимки

, формируют третий массив данных с потенциальными сведениями об их пространственно-временных и количественных характеристиках, общей площади заданного района S, площади элементарного участка S_i, удовлетворяющего требованиям по размещению i-го объекта, удалению каждого i-го объекта от барьерного рубежа L_i для различных оперативных условий, взаимном расстоянии между i-м и j-м объектами d_ij, формируют четвертый массив данных с параметрами радиоэлектронных средств: Δƒ, V, T_u, mode_λ, τ_сп, τ_ти, где Δƒ - диапазон рабочих частот, V - вид передачи, T_u - тип радио или радиотехнического средства, u=1,2,…,U, mode_λ - режим функционирования РЭС, λ=1,2,…,Λ; τ_сп - среднее время работы РЭС при выходе в эфир, τ_ти - интервал времени пребывания u-го РЭС на одной позиции, пятый массив данных с параметрами узлов связи (УС) пунктов управления (ПУ): количеством р РЭС различных типов T_u, р=1,2,…,Р, размерами необходимой площади для их развертывания S_r, S_r=р⋅S_r, шестой массив данных с оперативно-тактическими нормативами по размещению УС на местности: удалению УС от соответствующих ПУ d_p и барьерного рубежа L_p, взаимным удалением УС ПУ одного

и различных

уровней управления, временем пребывания УС на одной позиции Т_ип, формируют седьмой массив данных с организационно-штатной структурой моделируемой системы РМ, координатными данными элементов системы РМ, удалением от барьерного рубежа, перечнем типовых задач, решаемых должностными лицами органов управления системы РМ, а для каждого разработанного сценария оперативной обстановки в восьмой массив данных заносят эталонные варианты результатов действий должностных лиц по каждой из N специализированной по объектам группе обучаемых органов управления системы РМ или отдельному специалисту в виде потоков событий

, n=1,2,…,N, и суммарного потока событий

, по оценке текущей оперативной и РЭО и их изменению для каждого разработанного сценария, которые представляют из себя формализованные событийно-временные циклограммы через установленные промежутки времени на заданных временных интервалах, в процессе тренировки обучаемые дополнительно на основе данных первых семи массивов определяют электромагнитную доступность излучений контролируемых РЭС во всех используемых диапазонах радиоволн, оптимизируют пространственное расположение элементов системы РМ с учетом текущего положения барьерного рубежа, анализируют входной поток событий

текущего сценария оперативной и РЭО, формулируют выводы о сложившейся оперативной и РЭО в заданном районе и прогнозы возможного характера ее изменения, разрабатывают предложения по оптимизации пространственного размещения элементов системы РМ с учетом текущих и предстоящих изменений в оперативной и РЭО и выходом из строя элементов системы РМ, формируют отчетные информационные документы в заданной форме, одновременно оценивают деятельность каждой n-й специализированной группы или обучаемого ОУ РМ и их совместную деятельность путем формирования соответствующих потоков событий

и

в виде формализованных событийно-временных циклограмм результатов действий обучаемых,

n=1,2,…,N,

где

- k-е действие n-й специализированной группы обучаемых или отдельною специалиста, сегментируют эталонные

и сформированные по результатам деятельности обучаемых

и

потоки событий,

n=1,2,…,N,

совмещают эталонные и соответствующие оцениваемые сегменты l потоков

и

одним из способов: выравнивания или редактирования, определяют степени подобия эталонных

и оцениваемых

и

, n=1,2,…,N, l=1,2,…,L, сегментов потоков событий

где

- оценка подобия структуры X^m и Y^m, выполняют динамическую оценку подобия потоков событий

и

и одновременно

и соответствующих

потоков, на основе принципа максимально возможного совмещения с использованием аддитивной оценки:

нормализуют динамические оценки подобия потоков событий

и

, n=1,2,…,N, к оценке подобия эталонных потоков

и

соответственно самому себе:

на основе которых оценивают результаты деятельности коллектива обучаемых, каждой их N специализированных групп или отдельных обучаемых.This goal is achieved by the fact that at the preparatory stage, on the basis of a local network, N workplaces are formed for training trainees, various scenarios of the operational environment are set, involving the formation of an electronic environment, the content of which is determined by the dependence on the state of the objects of the operational environment, which include electronic means of various types , the functioning models of which are described using a logical and mathematical description of the dependence of the REO on the state of the operational situation in a given area, form a set of radio communication parameters in the form of a sequence of parameter vectors

, where Λ _j is a formalized rule for the behavior of objects,

J - the number of rules of conduct for the duration of the scenario, and in the process of training, the processes of the functioning of the RM system are modeled, taking into account external destructive influences on its elements: the command post, units and subunits of radio monitoring, determine the elements of the RM system that are most likely to be subjected to the destructive effects of the enemy, taking into account the possibility of their opening, calculate the required time for the operation of the elements of the RM system in one place, determine the possible degree of damage received by the elements of the RM system, predict the technical condition of the means of the elements of the RM system, simulate the process of reconfiguration of the elements of the RM system, taking into account the predicted values and the nature of the tasks performed, determine the list of system elements RM, subject to destructive impact and subject to movement, determine the direction and coordinates of their next location, the start time of movement, the order of organization of radio communication, simulate the processes of functioning of the elements goods of the RM system in given areas, taking into account the organization of their protection and defense, evaluate the effectiveness of the newly formed structure of the RM system within the framework of the task, and the results of the trainees' activities are evaluated in accordance with the established criteria, based on information about each worked out version of the training scenario, they form and store the situational description of the training variant associated with this information in a generalized, typified and compressed form, the situational description of the new variant of the training scenario is entered, parameter vectors

of the input stream of events is supplemented with a marker of the event belonging to the corresponding group P _n of trainees specialized in objects, n = 1,2, ..., N, and at the preparatory stage, a database is additionally formed as part of the first array with data on the physical and geographical conditions of a given area and area placement of elements of the radio monitoring system, form computer models of objects and enter into the database in the form of a second data array containing the physical parameters of the object l _xi , l _yi , l _zi of the i-th type, i=1,2,…,I, photo or radar images

, form a third data array with potential information about their spatio-temporal and quantitative characteristics, the total area of a given area S, the area of an elementary section S _i that meets the requirements for the placement of the i-th object, the distance of each i-th object from the barrier boundary L _i for different operational conditions, the mutual distance between the i-th and j-th objects d _ij , form the fourth data array with the parameters of electronic means: Δƒ, V, T _u , mode _λ , τ _cn , τ _ti , where Δƒ is the operating frequency range, V - type of transmission, T _u - type of radio or radio equipment, u=1,2,…,U, mode _λ - operating mode of the RES, λ=1,2,…,Λ; τ _cn is the average time of operation of the RES when going on the air, τ _ti is the time interval for the u-th RES to be in one position, the fifth data array with the parameters of communication nodes (CS) of control points (CP): the number p of RES of various types T _u , р=1,2,…,Р, the size of the required area for their deployment S _r , S _r =р⋅S _r , the sixth data array with operational and tactical standards for the placement of the US on the ground: the removal of the US from the corresponding launcher d _p and the barrier boundary L _p , by mutual removal of the US PU of one

and various

levels of control, time spent by the RS at one position T _ip , form the seventh data array with the organizational and staffing structure of the simulated RM system, coordinate data of the elements of the RM system, distance from the barrier boundary, a list of typical tasks solved by officials of the RM system controls, and for of each developed scenario of the operational situation in the eighth data array, the reference options for the results of the actions of officials are entered for each of the N group of trained control bodies of the RM system specialized in objects or for an individual specialist in the form of event flows

, n=1,2,…,N, and the total flow of events

, according to the assessment of the current operational and REO and their change for each developed scenario, which are formalized event-time cyclograms at specified time intervals at specified time intervals, during the training process, trainees additionally determine the electromagnetic availability of radiation from controlled REF based on the data of the first seven arrays in all used ranges of radio waves, optimize the spatial arrangement of the elements of the RM system, taking into account the current position of the barrier boundary, analyze the input stream of events

the current scenario of operational and REA, formulate conclusions about the current operational and REA in a given area and forecasts of the possible nature of its change, develop proposals for optimizing the spatial arrangement of elements of the RM system, taking into account current and upcoming changes in the operational and REA and failure of elements of the RM system, form reporting information documents in a given form, at the same time evaluate the activities of each n-th specialized group or trainee OU RM and their joint activities by forming the appropriate event flows

and

in the form of formalized event-time cyclograms of the results of the actions of trainees,

n=1,2,…,N,

where

- k-th action of the n-th specialized group of trainees or a separate specialist, segment the reference

and formed based on the results of the activities of trainees

and

event streams,

n=1,2,…,N,

combine reference and corresponding estimated segments of l streams

and

one of the ways: alignment or editing, determine the degree of similarity of the reference

and assessed

and

, n=1,2,…,N, l=1,2,…,L, event stream segments

where

- assessment of the similarity of the structure X ^m and Y ^m , perform a dynamic assessment of the similarity of event flows

and

and at the same time

and relevant

flows, based on the principle of the maximum possible combination using an additive assessment:

normalize dynamic similarity estimates of event streams

and

, n=1,2,…,N, to estimate the similarity of reference flows

and

according to itself:

on the basis of which the results of the activities of a group of trainees, each of N specialized groups or individual trainees are evaluated.

«хорошо» при

«удовлетворительно» при

«неудовлетворительно» при

.The activity of the group of trainees is evaluated as "excellent" with

"good" at

"satisfactory" with

"unsatisfactory"

.

«хорошо» при

«удовлетворительно» при

а «неудовлетворительно» при

.At the same time, the activity of the n-th specialized group of trainees or the n-th trainee is evaluated as "excellent" with the value

"good" at

"satisfactory" with

and "unsatisfactory"

.

The listed new set of essential features ensures the improvement of the quality of professional training of the DPOU RM in the conditions of a complex operational REA. destructive influences of various nature, shortage of personnel and equipment. The assessment of the actions of the DP (team or individual specialists) for each scenario being worked out for operational and REA is set in real time based on a precedent approach.

The claimed method is illustrated by drawings, which show:

fig. 1 - a generalized algorithm for professional training of DLOU RM;

;fig. 2 - typical sequence of processing the input stream of events

;

fig. 3 - a generalized algorithm for evaluating the actions of the DLOU RM;

fig. 4 order of combination of stream segments;

fig. 5 - dynamic evaluation of event streams.

An analysis of trends in the use of telecommunications in the world indicates an exponential growth in their number in all areas of human activity. As a result, the current conditions for conducting RM are characterized by congestion in the frequency range, a decrease in semantic accessibility to the emissions of controlled RES. Under these conditions, the requirements for high-quality training of radio monitoring specialists at all levels are increasing.

Operational (current) processing of RM information, which implies real-time decision-making on the opening of radio monitoring objects, is still based on the intellectual activity of the DLOU. There are severe restrictions on the time of data submission, caused primarily by the rapid aging of information.

и суммарной N+1-й последовательности событий

для всего коллектива обучаемых. Оценку деятельности ДЛОУ РМ осуществляют с использованием прецедентного подхода путем выявления подобия последовательности событий: оцениваемого (сформированного на основе полученных обучаемыми результатов)

,

и соответствующих эталонных

или

, хранимых в памяти базы данных.The essence of the invention is as follows. As part of the method, they jointly develop options (scenarios) for changing the operational and electronic equipment in the area of conduct of the Republic of Moldova and the sequences of actions of the DLOU that are consistent with them, the time cyclograms corresponding to the event. As a result, it provides for the formation of adequate conclusions about the emerging operational and REA in a given area, formalized data on the results of complex information and analytical activities of N specialized groups of DL or individual specialists in the form of a set of N reference sequences of events

and total N+1-th sequence of events

for the entire student body. The assessment of the activities of the DPOU RM is carried out using a case-based approach by identifying the similarity of the sequence of events: assessed (formed on the basis of the results obtained by the trainees)

,

and corresponding reference

or

stored in database memory.

In the proposed method, the following operations are performed at the preparatory stage (see Fig. 1). On the basis of the local network, N workplaces are formed to train trainees. Develop various scenarios of operational and REA in a given area. The content of the electronic equipment is determined by the state of the objects of the operational environment, which have in their composition radio-electronic means of various types.

Each scenario of operational and REE is based on the use of three interrelated levels of description: automatic-linguistic model of the formation of the structure, parameters of the state and activity of objects of the operational environment: automatic description of the object of the operational environment; logical-algebraic sequence of parameters for the functioning of radio communications and radio engineering support (see Pat. RF No. 2627255, IPC G09B 9/00 (2006.01), publ. 04.08.2017, bull. No. 22). The formation of the scenario of the operational situation is carried out in the form of an ordered sequence of informally presented semantic rules, compiled in natural language and including typical actions of the objects of the operational situation, the number and types of RES in their composition, the structures of the radio networks they create and the characteristic modes of operation.

where Λ _j (a _n ) - je the rule is the behavior of the environment object in the i-th state, F is the correspondence that determines the composition of the subset (a _n )⊆{A}, {A} is the set of environment objects (see M. Mesarovich, Ya Takahara, General Systems Theory: Mathematical Foundations, Moscow: Mir, 1978, p. 22).

The operation that determines the correspondence between the operating modes of the RES according to the state and activity of the objects of the operational situation is described by the expression

- правило, определяющее состояние и деятельность элементов множества {А};

- правило, определяющее порядок и режим функционирования элементов множества {I} (РЭС); t=t_min - ближайшее время наступления события (действия), τ_n - длительность событий сценария с участием элементов множества {А}. В свою очередь РЭО представляют в виде последовательности векторов параметров состава и режимов функционирования радиосетей, отдельных РЭС и средств радиотехнического обеспечения (РТО)where Λ _j - rule of conduct, including a set of values:

- a rule that determines the state and activity of the elements of the set {A};

- a rule that determines the order and mode of operation of the elements of the set {I} (RES); t=t _min - the nearest time of occurrence of the event (action), τ _n - the duration of the events of the scenario with the participation of elements of the set {A}. In turn, the REO is presented as a sequence of vectors of parameters of the composition and modes of operation of radio networks, individual RES and radio equipment (RTO)

- корреспонденты из состава i-й радиосети;

- главный корреспондент i-й радиосети;

, S_слс, S_рто - параметры функционирования наземных и воздушных средств радиосвязи, спутниковых линий связи и РТО соответственно; Δƒ - диапазон рабочих частот, V - вид передачи, mode_λ - режим функционирования, λ=1,2,…,Λ и др., П_n - маркер принадлежности события к n-й специализированной группе (специалисту) обучаемых.where t _RES - temporal characteristics of the RES operation; τ _cn - the average time of operation of the RES when going on the air, τ _ti - the time interval of the u-th RES at one position, etc.; [α ₁ (τ ₁ ), α ₂ (τ ₂ ),…,α _n (τ _n )} - a set of operational environment objects involved in the event of the current scenario with duration τ _n ; i - conditional number of the radio network (separate RES). i=1,2,…,I; I - the total number of radio networks (individual RES); T _u - types used by the objects of the operational environment of the RES as part of the i-th radio network;

- correspondents from the i-th radio network;

- chief correspondent of the i-th radio network;

, S _sls , S _rto - parameters of the operation of ground and air radio communications, satellite communication lines and RTO, respectively; Δƒ - range of operating frequencies, V - type of transmission, mode _λ - mode of operation, λ=1,2,…,Λ, etc., P _n - marker of belonging of the event to the n-th specialized group (specialist) of trainees.

Additionally, at the preparatory stage, a database is formed consisting of six arrays of reference data for the work of the DL. Data on the physical and geographical conditions in a given area and areas where the elements of the radio monitoring system are located are entered into the first array. The second data array contains computer models of objects with their physical parameters, photographs or radar images. The third data array contains potential information about the spatio-temporal and quantitative characteristics of objects, the total area of a given area S, the area of an elementary section S _i that meets the requirements for the placement of the i-th object, the removal of each i-th object, t=1,2,… ,I, from the barrier line L _i for various operational conditions, the mutual distance between the i-th and j-th objects λ _ij , etc.

The fourth data array contains information about the parameters of electronic means: Δƒ, V, T _u , mode _λ , τ _cn , τ _ti , where Δƒ is the operating frequency range, V is the type of transmission, T _u is the type of radio or radio equipment, u=1 ,2,…,U, mode _λ - RES operation mode, λ=1,2,…,Λ; τ _cn - the average time of the RES operation when going on the air, τ _ti - the time interval for the u-th RES to stay at one position.

и различных

уровней управления, время пребывания УС на одной позиции Т_uп, время развертывания и свертывания УС. База справочных данных может содержать и другую необходимую для работы ДЛОУ РМ информацию, а вид ее представления может отличаться (см. Пат. РФ №2736329, МПК G01S 5/00, опубл. 13.11.2020, бюл. №32).The parameters of communication nodes (CS) of control points (CP) are entered into the fifth data array: the number of RES of various types, T _u , p=1.2,…,P, the size of the required area for their deployment S _r ,S _r =p⋅ S _r . The sixth data array contains operational-tactical standards for the placement of the RS on the ground: the removal of the RS from the corresponding launchers d _p and the barrier line L _p , the mutual removal of one

and various

levels of control, the time spent by the SS at one position T _{u n} , the time of deployment and collapse of the SS. The reference database may also contain other information necessary for the operation of the DLOU RM, and the type of its presentation may differ (see Pat. RF No. 2736329, IPC G01S 5/00, publ. 13.11.2020, Bull. No. 32).

The seventh data array contains the organizational structure of the simulated RM system for each scenario of the operational situation, the coordinates of the location of the elements of the RM system. their removal from the barrier line and control point, a list of typical tasks solved by officials of the control bodies of the RM system.

(1)) в восьмой массив данных заносят эталонные варианты результатов действий ДЛОУ системы РМ по оценке изменений оперативной обстановки. Последние для каждой n-й специализированной группы (отдельного специалиста) представляют из себя формализованные событийно-временные циклограммы результатов действий обучаемых через установленные промежутки времени на заданных временных интервалах в виде N потоков событий

и N+1-го суммарного потока событий

для всего коллектива обучаемых.For each developed operational and REA scenario (drawn up as a sequence of vectors

(1)) in the eighth data array, the reference variants of the results of the actions of the DLOU of the RM system to assess changes in the operational situation are entered. The latter for each n-th specialized group (individual specialist) are formalized event-time cyclograms of the results of the actions of trainees at specified time intervals at specified time intervals in the form of N event streams

and N+1 total event stream

for the entire student body.

, формируют выводы из текущей оперативной и РЭО и возможных ее изменениях, разрабатывают предложения по оптимизации ведения РМ, оформляют информационные документы в заданной потребителем форме (см. фиг. 2).In the process of training, trainees, in accordance with the staffing table, analyze the input stream of events

, form conclusions from the current operational and REA and its possible changes, develop proposals for optimizing the maintenance of RM, draw up information documents in the form specified by the consumer (see Fig. 2).

. Одновременно результаты действий каждой из N специализированных групп (отдельных специалистов) различной специализации (сухопутные войска (СВ), военно-воздушные силы (ВВС), противовоздушные войска (ПВО) и др.) оформляют в N потоков событий

, n=1,2,…,N.DLOU model the processes of the RM system functioning taking into account the given operational situation, the position of the barrier boundary line, the coordinates of the RM system elements and the impact of external destructive factors on them. The elements of the RM system are understood as the control point and subordinate units and subdivisions of the RM. As a result of fixing the sequence of results of the actions of the DLOU RM team at time points t _i form the i-th element of the estimated total flow of events

. At the same time, the results of the actions of each of N specialized groups (individual specialists) of various specializations (ground forces (SW), air force (Air Force), air defense forces (Air Defense), etc.) are drawn up in N event streams

, n=1,2,…,N.

At the first stage, trainees determine the electromagnetic availability (EMA) of radiation from controlled RES in a given area in all radio wave bands. The latter makes it possible to indirectly characterize not only the achievable quality of the REO assessment, but also the optimality of the spatial placement of the meters. In addition, the elements of the RM system are determined, which can be subjected to the destructive effects of the enemy, taking into account their possible opening. Next, DLOU start modeling the process of reconfiguration (optimization of spatial distribution) of the elements of the RM system. This operation is implemented taking into account the performed analysis of EMD, the tasks facing the RM system and the features of the physical and geographical conditions for the placement of its elements (based on the first data array).

со значительными упрощениями приведен на фиг. 2 применительно к вооруженным силам (процесс преобразования потока

в потоки

и

).Typical event input stream processing sequence

with significant simplifications is shown in Fig. 2 applied to the armed forces (the process of transforming the flow

into streams

and

).

, состоящий из последовательности векторов параметров РЭО и характеризующих текущий сценарий оперативной и РЭО, поступает на вход селектора входного потока. В функции последнего входит экспресс-анализ входного потока

с целью его распределения между исполнителями по тематическим направлениям (специализированными группами), во главе которых стоят старшие специалисты. Эта операция выполняется автоматически с использованием признака П_n. Распараллеливание обработки входного потока событий (данных) обеспечивает сокращение временных затрат на его обработку и повышение качества выполняемого анализа благодаря специализации специалистов РМ. Данная работа выполняется с использованием справочной информации семи подготовленных массивов данных. Результаты выполненного анализа специалисты через старшего направления (старшего специалиста) доводят до главного специалиста системы РМ в виде потока событий

. Последний на их основе формирует выводы о сложившейся соответствующей оперативной и РЭО, возможных вариантах ее развития, предложения по оптимизации пространственного размещения элементов системы РМ. Эта информация в формализованном виде (задается потребителем информации) поступает на выход системы РМ. Входной поток событий

может содержать сведения, требующие немедленного доклада потребителю информации. В этом случае эти сведения с выхода селектора входного потока поступают непосредственно к главному специалисту. Результаты действий всех названных выше групп и специалистов, зафиксированные на временной шкале и составляют содержимое анализируемого суммарного потока событий

. Кроме того, результаты действий каждой из N специализированных групп или отдельных специалистов (в этом случае специализированная группа состоит из одного специалиста) оформляют в виде N потоков событий

. Последние, аналогично

и

, представляют в формализованном виде.Input stream of events

, consisting of a sequence of vectors of the REA parameters and characterizing the current scenario of operational and REA, is fed to the input of the input stream selector. The functions of the latter include express analysis of the input stream

in order to distribute it among the performers in thematic areas (specialized groups), headed by senior specialists. This operation is performed automatically using the sign P _n . Parallelization of the processing of the input stream of events (data) reduces the time spent on its processing and improves the quality of the analysis performed due to the specialization of RM specialists. This work is carried out using the background information of the seven prepared datasets. The results of the analysis carried out by specialists through the senior direction (senior specialist) are brought to the chief specialist of the PM system in the form of a stream of events

. The latter, on their basis, forms conclusions about the current corresponding operational and REA, possible options for its development, proposals for optimizing the spatial arrangement of elements of the RM system. This information in a formalized form (set by the information consumer) is sent to the output of the RM system. Input stream of events

may contain information requiring an immediate report to the consumer of information. In this case, this information from the output of the input stream selector comes directly to the chief specialist. The results of the actions of all the above groups and specialists, recorded on the timeline, constitute the content of the analyzed total flow of events.

. In addition, the results of the actions of each of the N specialized groups or individual specialists (in this case, the specialized group consists of one specialist) are formalized in the form of N event streams

. The latter, similarly

and

, are presented in a formalized form.

и эталонных

и

, хранимых в восьмом массиве данных. Ограниченная точность принимаемых решений ДЛОУ в системе реального времени, присутствие неполноты и искажений в потоке

, противоречивости информации о событиях приводят к тому, что в анализируемых потоках

и

могут присутствовать «шумовые» события, пропуски событий, искажения параметров. Автоматизация поставленной задачи позволяет снизить влияние «человеческого фактора».To evaluate the actions of DLOUs, a case-based approach is used (see Aamodt A. Cast-based reasoning: foundational issues, methodological-variations and system approaches // AI Comm. 1994. Vol. 7. No. 1. p. 39-59). It is based on identifying the similarity of sequences of events:

and reference

and

stored in the eighth data array. Limited accuracy of decisions made by DLOU in a real-time system, the presence of incompleteness and distortions in the stream

, inconsistencies in information about events lead to the fact that in the analyzed flows

and

"noise" events, omissions of events, parameter distortions may be present. Automation of the set task allows to reduce the influence of the "human factor".

Let's use the event model (see Sherstyuk V.G. The method of dynamic evaluation of two streams of events // Kherson: Bulletin of KhNTU, No. 3, 2011, pp. 491-498):

- множество переменных модели, k - множество ограничений, r - сигнатура.where

- set of model variables, k - set of restrictions, r - signature.

можно представить в видеThen the event hierarchy

can be represented as

where β _r is the set of elements of the hierarchy, γ _r is the partial order relation defined over β _r , α _r is the smallest element of the sequence γ _r .

The signature of the event model r is a tuple of the form:

- множество иерархий событий Т - множество значений времени, Δ - отношение полного порядка для Т.where X is the set of event parameters,

- set of event hierarchies T - set of time values, Δ - full order relation for T.

The event ψ in model E is a structure of the form

- множество слотов мощности. С помощью

представляют параметры события. В свою очередь множеством параметров события ψ называют кортеж вида X={x₁,х₂,…,x_n}, где x_i - параметр.where V is the event label, с is the event class, t is the moment of the event observation,

- Lots of power slots. By using

represent event parameters. In turn, the set of event parameters ψ is a tuple of the form X={x ₁ ,x ₂ ,…,x _n }, where x _i is a parameter.

For the considered model E, the input of parameters is carried out in the form of formatted messages (stencils) suggesting specific actions of the DLOU.

в модели Е является упорядоченная по времени совокупность событий видаThe flow of events

in model E is a time-ordered set of events of the form

и

(

и

) осуществляют используя таксономическую иерархию событий. Для этого длинные потоки событий сегментируют, разбивая на последовательности небольшой длины (см. Martin F. Case-Based Sequence Analysis in Dynamic, Imprecise, and Adversarial Domains: tesi doctoral. - Barcelona: Universitat Politecnica Da Catacynya, 2004. - 285 p.). Предлагаемый способ предполагает учет временных взаимоотношений между событиями. Для этого задают временную шкалу Т, к которой привязывают события потоков

и

(

и

). Сегментацией

степени m потока событий

длины n называют последовательность из m+1 точки разрыва в диапазоне [1,n]:In the proposed method, the dynamic estimation of the similarity of two streams

and

(

and

) is carried out using the taxonomic hierarchy of events. To do this, long streams of events are segmented into sequences of small length (see Martin F. Case-Based Sequence Analysis in Dynamic, Imprecise, and Adversarial Domains: tesi doctoral. - Barcelona: Universitat Politecnica Da Catacynya, 2004. - 285 p.) . The proposed method involves taking into account the temporal relationships between events. To do this, set the time scale T, to which the events of the flows are tied

and

(

and

). segmentation

degree m of the flow of events

of length n is called a sequence of m+1 breakpoints in the range [1,n]:

.In its turn

.

и

с использованием их сегментов k и l соответственно на основе аддитивной оценки (см. фиг. 4)At the next stage, the total flows are combined

and

using their segments k and l, respectively, based on an additive estimate (see Fig. 4)

- мощность k-сегмента потока

, i - i-й элемент потока, SIM(X,Y) - оценка подобия X и Y. Одновременно с этим в соответствии с (8) совмещают потоки событий

и

where

- power of the k-segment of the flow

, i is the i-th element of the flow, SIM(X,Y) is the estimate of the similarity of X and Y. At the same time, in accordance with (8), the flows of events are combined

and

определяется как среднее арифметическое оценок подобия событий, составляющих соответствующие сегменты.From consideration (8) it follows that

is defined as the arithmetic mean of the similarity estimates of events that make up the corresponding segments.

и

(

и

), оценивают подобие собственно потоков событий.After the similarity assessment of all segments that make up the streams

and

(

and

), evaluate the similarity of the actual flows of events.

There are three types of event streams (see Fig. 4):

, если сопоставимые элементы (события) занимают одинаковые позиции, при этом имеют различный уровень абстракции;combined

, if comparable elements (events) occupy the same position, while having a different level of abstraction;

compatible if comparable elements occur in both segments but in different positions. In this case, the segments can be combined in a finite number of steps;

, если элементы в сегменте одного потока отсутствуют в сегменте другого.incompatible

if the elements in one thread's segment are not present in another thread's segment.

анализируемого суммарного потока событий

с сегментом

эталонного суммарного потока события

используют способ редактирования (см. Loshin D. The Practitioner's Guide to Data Quality Improvement. - Burlington: Elsevier, Morgan Kaufmann, 2011. - 432 p.). В этом случае (см. фиг. 5) с помощью вставок Ins(S,ψ₇,9) поток

дополняется «пропущенными» событиями, а с помощью отбрасывания Del(S,3) фильтруются «шумовые» события. Аналогичные действия выполняют и с потоками

и

.To align a segment

analyzed total flow of events

with segment

reference total event flow

use the editing method (see Loshin D. The Practitioner's Guide to Data Quality Improvement. - Burlington: Elsevier, Morgan Kaufmann, 2011. - 432 p.). In this case (see Fig. 5) with the help of inserts Ins(S,ψ ₇ ,9) the flow

is supplemented with "missing" events, and "noise" events are filtered out by discarding Del(S,3). Similar actions are performed with streams.

and

.

и

(см. Шерстюк В.Г. основы теории динамических сценарно-прецедентных интеллектуальных систем. Херсон: ХНТУ, 2012. - 432 с), которые реализуются в соответствии с выражением:The assessment of the quality of the performance of the duties of the DLOU RM must be carried out continuously during the training process. This involves dynamically evaluating the similarity of the two streams of events

and

(see Sherstyuk V.G. Fundamentals of the theory of dynamic scenario-precedent intelligent systems. Kherson: KhNTU, 2012. - 432 p.), which are implemented in accordance with the expression:

определяют как среднее арифметическое максимальных оценок подобия составляющих сегментов. Аналогичные (9) действия выполняют с потоками событий

и

соответственно, n=1,2,…,N:From (9) it follows that the dynamic estimate of two flows

is defined as the arithmetic mean of the maximum similarity estimates of the constituent segments. Similar (9) actions are performed with event streams

and

respectively, n=1,2,…,N:

к оценке подобия эталонного потока R событий к самому себеAt the next stage, the resulting estimate of the similarity of event flows is normalized (leaded to the numerical range [0,1]). This operation is performed by the ratio of similarity evaluation of event streams

to the assessment of the similarity of the reference stream R of events to itself

и

, n=1,2,…,N, учитывают все погрешности в работе ДЛОУ (степень полноты, неправильно принятые решения, их несвоевременность), что позволяет использовать его в качестве обобщенного критерия эффективности.Values

and

, n=1,2,…,N, take into account all the errors in the work of the DLOU (degree of completeness, wrong decisions, their untimeliness), which allows using it as a generalized criterion of efficiency.

«хорошо» при

. Работу коллектива обучаемых оценивают как «удовлетворительно» при

, а «неудовлетворительно» при

.The activity of the team of trainees is assessed as "excellent" with

"good" at

. The work of the team of trainees is assessed as "satisfactory" with

, and "unsatisfactory" at

.

, «хорошо» при

, «удовлетворительно» при

, а «неудовлетворительно» при

.The activity of the n-th specialized group or the n-th trainee is evaluated as "excellent" with the value

, "good" at

, "satisfactory" at

, and "unsatisfactory" at

.

The developed version of the scenario, together with the results of the activities of the DLOU RM, is memorized in a compressed form. If necessary, a new training cycle is started by introducing a new operational and REA scenario.

Claims (3)

1. The method of professional training of officials (DL) of radio monitoring (RM) control bodies, which consists in the fact that at the preparatory stage, on the basis of a local network, N workplaces are formed for training trainees, various scenarios of the operational environment are set, involving the formation of an electronic environment (REO) , the content of which is determined by the dependence on the state of objects of the operational environment, which include radio electronic means (RES) of various types, the functioning models of which are described using a logical and mathematical description of the dependence of the REO on the state of the operational situation in a given area, form a set of radio communication parameters in the form of a sequence parameter vectors

, where Λ _j is a formalized rule for the behavior of objects,

J - the number of rules of conduct for the duration of the scenario, and in the process of training, the processes of the functioning of the RM system are modeled, taking into account external destructive influences on its elements: the control center, units and subunits of radio monitoring, determine the elements of the RM system that are most likely to be subjected to the destructive effects of the enemy, taking into account the possibility of their opening, calculate the required time for the operation of the elements of the RM system in one place, determine the possible degree of damage received by the elements of the RM system, predict the technical condition of the means of the elements of the RM system, simulate the process of reconfiguration of the elements of the RM system, taking into account the predicted values and the nature of the tasks performed, determine the list of system elements RM, subject to destructive effects and subject to movement, determine the direction and coordinates of their next location, the time of the start of movement, the procedure for organizing radio communication, model the processes of functioning of the element of the RM system in given areas, taking into account the organization of their protection and defense, evaluate the effectiveness of the newly formed structure of the RM system within the framework of the task, and the results of the trainees' activities are evaluated in accordance with the established criteria, based on information about each worked out version of the training scenario, they form and store the situational description of the training variant associated with this information in a generalized, typified and compressed form, the situational description of the new variant of the training scenario is entered, characterized in that the parameter vectors

of the input stream of events is supplemented with a marker of the event belonging to the corresponding group of trainees specialized in objects P _n , n=1,2,…,N or a specialist, and at the preparatory stage, a database is additionally formed as part of the first array with data on the physical and geographical conditions of a given area and the location of the elements of the radio monitoring system, form computer models of objects and enter into the database in the form of a second data array containing the physical parameters of the object l _xi , l _yi , l _zi of the i-th type, i=1,2,…,I, photo or radar images P _hi , form a third data array with potential information about their spatial and temporal and quantitative characteristics, the total area of a given area S, the area of an elementary section S _i , which satisfies the requirements for the placement of the i-th object, the distance of each i-th object from the barrier boundary L _i for different operational conditions, the mutual distance between the i-th and j-th objects d _ij , form the fourth array in data with the parameters of radio electronic means: Δƒ, V, T _u , mode _λ , τ _cn , τ _ti , where Δƒ is the operating frequency range, V is the type of transmission, T _u is the type of radio or radio equipment, u=1.2, …,U, mode _λ - RES operation mode, λ=1,2,…,Λ; τ _cn is the average time of operation of the RES when going on the air, τ _ti is the time interval for the u-th RES to be in one position, the fifth data array with the parameters of communication nodes (CS) of control points (CP): the number p of RES of various types T _u , р=1,2,…,Р, the size of the required area for their deployment S _r , S _r =р⋅S _r , the sixth data array with operational and tactical standards for the placement of the US on the ground: the removal of the US from the corresponding launcher d _p and the barrier boundary L _p , by mutual removal of the US PU of one

and various

levels of control, the time spent by the RS at one position T _{u n} , form the seventh data array with the organizational and staffing structure of the simulated RM system, coordinate data of the elements of the RM system, distance from the barrier boundary, a list of typical tasks solved by officials of the RM system controls, and for of each developed scenario of the operational situation in the eighth data array, reference variants of the results of the actions of officials are entered for each of the N specialized group of trainable controls of the RM system or for an individual specialist in the form of event flows

, n=1,2,…,N, and the total flow of events R according to the assessment of the current operational and REA and their change for each developed scenario, which are formalized event-time cyclograms at specified time intervals at specified time intervals, in the process trainings trained additionally based on the use of data from the first seven arrays determine the electromagnetic availability of radiation from controlled RES in all used radio wave bands, optimize the spatial arrangement of the elements of the RM system, taking into account the current position of the barrier boundary, analyze the input event stream

the current scenario of operational and REA, formulate conclusions about the current operational and REA in a given area and forecasts of the possible nature of its change, develop proposals for optimizing the spatial arrangement of elements of the RM system, taking into account current and upcoming changes in the operational and REA and failure of elements of the RM system, form reporting information documents in a given form, at the same time evaluate the activities of each n-th specialized group of DL of the RM management bodies or an individual specialist and their joint activities by forming the appropriate event flows

and

in the form of formalized event-time cyclograms of the results of the actions of trainees,

where

- k-th action of the n-th specialized group of trainees or an individual specialist, segment the reference

and the estimated flows of events formed based on the results of the activities of the trainees

and

, n=1,2,…,N,

combine the reference and the corresponding estimated segments of l streams in one of the ways: alignment or editing, determine the degree of similarity of the reference

and

and corresponding assessed

and

, n=1,2,…,N, l=1,2,…L, event stream segments

where

- structure similarity assessment

and

, perform dynamic similarity evaluation of event streams

and

and at the same time

and relevant

flows based on the principle of the maximum possible combination using additive estimation:

normalize dynamic similarity estimates of event streams

and

n=1,2,…,N, to the assessment of the similarity of reference flows

and

according to itself:

n=1,2,…,N, on the basis of which the results of the activities of the team of trainees and each of the N specialized groups or individual specialists are evaluated. 2. The method according to claim 1, characterized in that the activities of the group of trainees are evaluated as "excellent" with the value

, "good" at

, "satisfactory" at

and "unsatisfactory"

. 3. The method according to claim 1, characterized in that the activity of the n-th specialized group of trainees or an individual specialist is evaluated as "excellent" with the value

"good" at

"satisfactory" with

and "unsatisfactory"

.

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