The paper presents the results of the classification analysis model for structuring of processed large volumes of heterogeneous diagnostic data about the technical state of complex equipment in transport development and research. Concept for the description and structuring of big data is proposed based on the formation of a metadata scheme using logical breakdown of all technical diagnostic data on the output variable - the technical condition of complex technical equipment in transport. A functional assessment of the technical condition complex technical system’s elements in transport is developed based on the application of methods for assessing structural and functional risks of failures. The article presents the results of assessing the accuracy of the input data sets classification using created decision trees models to effectively structuring and presenting the data in order to ensure that the procedures for their further analysis are performed. As a result of using the developed simulation model of structuring and presenting large heterogeneous diagnostic data volumes about the state of complex technical equipment in transport the time costs were reduced and the efficiency of analytical operations to study data for solving diagnostic problems and predicting complex system’s technical condition was improved.

Context. The article discusses approaches to anticipation identification being an essential part of the decision-making process done by the operator by using the example of a sea captain in ergatic systems of critical infrastructures in the sea transport management. The mentioned above aspect of anticipation of operators can be regarded as being a complex form of human-machine interaction and, certainly, claims for further elaboration of information and tools to be used. Objective. The way to approach development is taken as being based on an information analysis of the full range of trajectories of decision-making by operators at the time of performing complex multi-stage actions. These items are rooting out of their adopted strategy of human-machine interaction. Besides, it leads to the formation of a metric being able to algorithmically represent the enormous number of variants. It can be done taking into account conditions of combinatorial representation in terms of the geometric theory of groups on the Cayley graph. Method. Being a part of the approach elaboration the having been obtained during the analysis of the database of navigation simulators mathematical model of experimental data collecting and processing succeeded to be constructed. To confirm the formalalgorithmic approach a simulation was challenged to be carried out helping to form the trajectory of the operator's decision making in critical situations. It was felicitously performed basing on the three-factor ERO-AEA-EAPI model. Thus, the algebraic and software representation of the metric decision space is noticed to uncover approximate complex human-machine interactions in uncertain environments. As a result, the converting process of data of the main subject of critical infrastructure (i.e. the operator) into knowledge is able to be coped with. In addition, factors possible to be gauged in the proposed metric are able to be uncovered. Results. In order to carry out the feasibility assessment of the developed approach as well as formal-algorithmic ones, an experiment was performed by using the Navi Trainer 5000 navigation simulator (NTPRO 5000). During having one of the most troublesome operations i.e. mooring we wanted the server data to be analyzed. As a result, data about anticipation being shaped as triangular constructs in the quasi-isometric space of Cayley graph is reported to have been obtained. The automated neural networks being used for result obtaining led to delivering of the possibility to get multiple data regression and to analyze the relationships of many independent variables. It is considered to be clear evidence due to having found out results of scattering and reliability diagrams. Conclusions. The having been presented in the investigations formal-algorithmic approach together with the developed software tools and the approaches of converting data into knowledge about operator anticipation are said to embrace the possibility to classify and to identify individual decision-making strategies when managing a vessel and to pre...

Context. The article introduces an approach for analyzing the reactions of a marine electronic navigation operator as well as automated identification of the likelihood of the negative impact of the human factors in ergatic control systems for sea transport. To meet the target algorithms for providing information referring to the results of human-machine interaction of an operator in marine emergency response situations while managing increasing complexity of navigation operations’ carrying out are put forward. Objective. The approach delivers conversion of the operator’s actions feature space into a logical-geometric one of p-adic systems making the level of the operator’s intellectual activity by using automated means highly likely to be identified. It is sure to contribute to its dynamic prediction for the sake of further marine emergency situations lessening. Method. Within the framework of the mentioned above approach attaining objective as automated identification of the segmented results of human-machine interactions a method for transforming deterministic fragments of an operator’s intellectual activity in terms of p-adic structures is proposed to be used. To cope with such principles as specification, generalization as well as transitions to different perception spaces of the navigation situation by the operator are said to be formally specified. Having been carried out of simulation modeling has turned out to confirm the feasibility of the proposed above approach causing, on the grounds of temporary identifiers, the individual structure of the operator’s reactions to be determined. As a result, the data obtained has delivered the possibility of having typical situations forecasted by using automated multicriteria methods and tools. This issue for its part is said to be spotted as identification of individual indicators of the operator’s reaction dynamics in complex man-machine interaction. Results. In order to have the proposed formal-algorithmic approach approved an experiment was performed using the navigation simulator Navi Trainer 5000 (NTPRO 5000). Automated analysis of experimental server and video data have furnished the means of deterministic operator actions identification in the form of metadata of the trajectory of his reactions within the space of p-adic structures. Thus, the results of modeling involving automated neural networks are sure to facilitate the time series of the intellectual activity of the electronic marine navigation operator to be identified and, therefore, to predict further reactions with a high degree of reliability. Conclusions. The proposed formal research approaches combined with the developed automated means as well as algorithmic and methodological suggestions brought closer to the objectives for solving the problem of automated identification of the negative impact of the human factors of the electronic navigation operator on a whole new level. The efficiency of the proposed approach is noticed to have been approved by the results of automated processing of experimental data and built forecasts.

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This article discusses a formal analysis of time perception made by sea transport navigators being in critical situations while performing vessel navigation. The carried out analysis of experimental data and investigations of marine accidents provided us with valuable insights of having wide range of cases in which navigators, while performing complex maneuvers (i.e. mooring operation), are highly likely to be involved into facing challenges of getting poor time comprehension during template implementation process. It is worth mentioning that while having it this very issue is being influenced on by external and internal factors. It, for its part, is noticed to considerably contribute into the increased likelihood of accidents. The main goal of this study is reported to be the development of a concept of having formal and automated means and methods for the identification distortion of the navigator's time (DNT) as being an indicator of negative manifestation of human factor in critical situations. For the sake of having been able to accomplish this goal a generalized model for the formation of t DNT was proposed as well as mathematical models and automated tools were introduced to be used for DNT intervals identification when analyzing the physical trajectory of the vessel's movement. Besides, the generating individual time codes in emergency situations system is managed to be successfully revealed. Moreover, the carried out experiments using the certified navigation simulator NaviTrainer 5000 are said to have confirmed the convincing cogency and to have made clear evidences of providing practical value of the proposed approaches. It goes without saying that these issues are sure to significantly improve the safety-driven process of keeping a navigational watch while navigating a vessel.