## 4 Results and Discussion
\begin{tabular}{l} Sending a test message over a channel \\ OPC UA: Aveva Dynamic Simulation \\ Sending a test message over a channel \\ OPC UA: MQTT broker through an \\ MQTT agent \\ Sending a test message over a channel \\ MQTT broker: AR app \\ Sending test control command \\ (physical device: smart shield) over a \\ channel AR app: Aveva Dynamic \\ Simulation \\ Sending test measured signal (physical device: smart shield) over a physical \\ channel: AR app \\ Testing Channel OPC UA: SQL \\ \end{tabular}  &
\begin{tabular}{l} Read/write value \\ Read/write value  
Table 4 shows the evaluation protocol for the application. The system test protocol (Table 4) showed the performance of the proposed solutions. The values shown in the table are acceptable for the implementation of such applications in industry. The CPU parameter did not fall below 20 fps, and the memory parameter did not rise above 960 Mb. Moreover, the \"power\" parameter showed that when the application was launched and tested, the Microsoft HoloLens2 augmented reality glasses worked in normal mode, with battery discharge in accordance with the technical documentation (one percent per minute during active operation). Thus, the solutions presented in this paper are relevant for the development of a system for the collaborative use of dynamic models and an augmented reality system. Figure 12 shows the NASA-TLX test for assessing cognitive-psychological factors when using the application. The figure shows the average NASA-TLX test results for all the participants in the experiment. A total of 93 people took part in the experiment. The participants ranged in age from 21 to 28 years, with 81 males and 17 females. To implement the test, five scenarios were simulated for the same task: \"vibration sensor-detected pump failure\". The task was to put the pump out of operation. The division into groups was performed as follows: \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Test Number** & **Tested App** & **CPU (fps)** & **Used Memory (Mb)** & **Peak Memory (Mb)** & **Power (\% per Minute)** \\ \hline
1 & 1 st app (1 unit with 3D & 19–62 & 837 & 955 & 1 \\
2 & objects, 15 tags) & 42–68 & 838 & 841 & 1 \\
3 & & 34–62 & 828 & 830 & 1 \\ \hline
4 & 2 nd app (3 units with & 17–31 & 843 & 845 & 1 \\
5 & 3D objects, 45 tags) & 27–45 & 850 & 858 & 1 \\
6 & & 24–40 & 841 & 843 & 1 \\ \hline
7 & 3 rd app (5 units with & 26–40 & 847 & 849 & 1 \\
8 & 3D objects, 75 tags) & 32–42 & 850 & 853 & 1 \\
9 & & 27–45 & 875 & 877 & 1 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Assessment of the application. Figure 12: NASA-TLX test results for assessing cognitive-psychological factors when using the application. 1. The testers had only a smart shield and the option of calling a person with access to the equipment;  
2. The testers had a smart shield and SCADA system where the values of all system promoters could be viewed;  
3. The testers had a smart shield and documentation with information on how to connect the system;  
4. All interaction was with the augmented reality system only, and commands could only be entered manually;  
5. All interaction was with the augmented reality system only, and commands could only be entered by voice or manually. The test results showed that the testers felt less threatened when using the augmented reality system. The participants noted the difficulty of the task and felt a sense of heaviness in completing the task. However, they did note the physical difficulty of completing the task. This was probably largely due to the need to interact with the augmented reality glasses. It should be emphasized that the age of the participants did not exceed 27 years, as the experiments were carried out in student groups. In an enterprise, this indicator may be higher, as the average age of people is over 27 years old. Therefore, when evaluating the system's performance, an additional indicator should be introduced for the level of proficiency in interacting with augmented reality glasses.