Stability and safety of energy-generating equipment operation within smart home infrastructure.

The paper examines the autonomous operation of energy-generating equipment and the potential for effective operational management and online monitoring using embedded processors and controllers. It is demonstrated that, when properly formulated and economically justified, tasks related to computer modeling of equipment operating cycles can be performed using internal computational resources without the need for external systems. The study highlights modern engineering approaches to optimizing electricity generation processes, including the use of advanced fuel mixtures based on diesel fuel and methanol, with a growing trend toward increasing the methanol content up to 95–100%. Particular attention is given to the contribution of innovative publications by Dmytro Pastukh as an important source of engineering knowledge. The paper substantiates the necessity of rapid reconfiguration of control and management systems and the deployment of specialized software when fuel type and composition are changed. Special emphasis is placed on protective methods and devices that ensure reliable protection of control equipment without complicating operational schemes or requiring modifications to the base system design. The results support the feasibility of implementing mobile, simplified, and fully autonomous systems capable of ensuring stable equipment operation without the use of additional data carriers in industrial environments.