## 3 Materials and Methods
### Formal Formulation of the Evaluation Problem
Important features of such a device include high measurement accuracy, ensured using high-quality sensors and filtering algorithms to minimize errors and noise in the data. The frequency of data collection is relatively high, which enables an accurate representation of the dynamic changes in the working environment. This is achieved through continuous monitoring with the capability of real-time data collection. It should be noted that, in the case of an aviation operator  
Figure 1: Structural diagram of the intellectual-analytical platform. or training organization, this block generates a dataset for a group of instructors. The DM inputs and updates the personal data of each instructor or group of instructors. The obtained data form the database for the intellectual-analytical platform. The stationary input-output block automatically processes data from the noise sensor, with the frequency of data collection ranging from 59 to 1848 times per second. It also ensures automatic storage and management of data from external storage. In this study, data were collected in continuous recording mode throughout each flight session, typically lasting between 30 and 90 min. A total of six sessions were analyzed. All flights were conducted using two types of training aircraft--Zlin Z43 and Diamond DA-40 TDI--under standardized environmental conditions to ensure consistency [25]. Data were stored and processed in real time, enabling continuous monitoring of noise levels and the assessment of minimum and maximum values during each flight. The measurement device operated at a sampling frequency ranging from 59 to 1848 Hz, depending on the flight phase. Data were stored and processed in real time, enabling continuous monitoring of noise levels and the assessment of minimum and maximum values during each flight. The following indicators of the \(WE\) working environment according to Instructor \(C\) are considered for the intellectual and analytical platform: noise level; vibration level; alcohol level; heart rate; hydration level; stress level; blood pressure. However, it should be noted that in this version of the platform, only acoustic parameters were considered. For this study, indicators were considered in different phases of the flight, as follows: \(F_{1}\)--takeoff phase; \(F_{2}\)--in-flight phase; \(F_{3}\)--landing phase. The noise level is considered a key factor in the psychophysiological workload of a flight instructor, as it has a direct impact on concentration, cognitive performance, fatigue, and stress during flight. While other physiological variables such as alcohol, heart rate, hydration, and blood pressure can also affect an instructor's condition, they were not measured by this version of the platform and thus are not included in the current analysis. Their potential influence is acknowledged; however, this study focuses exclusively on acoustic parameters due to the specific objectives and technical limitations of the current stage of platform development. In this regard, this study focuses on measuring the noise level across the following five different dimensions:  
\(ve_{1}\): Sound pressure is a physical quantity that defines the fluctuation of pressure in the environment caused by sound waves, which are perceived by the human ear. It is measured in Pascals (Pa) and is determined as the deviation of pressure from the atmospheric level. It is known that high levels of sound pressure lead to decreased cognitive performance, increased fatigue, and stress. Scientific studies in aviation ergonomics confirm the negative impact of high noise levels on attention and reaction speed [15; 20]. \(ve_{2}\): Fluctuation strength is a psychoacoustic measure that describes the perception of slow amplitude modulations of sound in the frequency range from 0.5 to 20 Hz, determining how the loudness of sound changes over time and its impact on the human auditory system. It is most strongly perceived at a modulation frequency of around 4 Hz; at frequencies above 20 Hz, it gradually transitions into roughness in the sound.