This thesis deals with method of measuring optical beam intensity, searching for communication system beam using stepper motor movement of the optical head and processing measured signal for displaying on PC. The basic theory of optoelectronics is shown here concerning the problem. There is elaborated main principles of photodetector and stepper motor mainly, which are main part of device. The second part of work is theoretical design of data recorder. All parts are described individually-their characteristics and conditions for correct usage. In the last part setup of device is explained, with the references to blocks of written programs. In the last part, main funcrions of system, its hardware managing and communication are described. At the very end of thesis, examples of measured data are presented.

In aviation, great emphasis is placed on aircraft safety. The current technical condition of the aircraft and its systems is an important parameter for its airworthiness. The technical condition of the elements measured during the flight should be compared to parameters specified by the manufacturer and measured in laboratory conditions. This thesis deal with the possibilities of the use of dimensionless numbers for the diagnostics of the hydrogenerator and deals with the diagnostics possibilities of selected elements.

As small-form factor drones grow more intelligent, they increasingly require more sophisticated capabilities to record sensor data and system state, ensuring safe and improved operation. Already regulations for black boxes, electronic data recorders (EDRs), for determining liabilities and improving the safety of large-form factor autonomous vehicles are becoming established. Conventional techniques use hardened memory storage units that conserve all sensor (visual) and system operational state; and N-way redundant models for detecting uncertainty in system operation. For small-form factor drones, which are highly limited by weight, power, and computational resources, these techniques become increasingly prohibitive. In this paper, we propose a safety architecture for resource constrained autonomous vehicles that enables the development of safer and more efficient nano-drone systems. The insight for the proposed safety architecture is that the regular structure of data-driven models used to control drones can be exploited to efficiently compress and identify key events that should be conserved in the EDR subsystem. We describe an implementation of the architecture, including hardware and software support, and quantify the benefits of the approach. We show that the proposed techniques can increase the amount of recorded flight time by over 10x and reduce energy usage by over 10x for high-resolution systems.