The article describes a method for integrating intelligent sensors into the data storage subsystem for monitoring hazardous natural phenomena. This integration is essential for building robust, distributed monitoring and forecasting systems. The proposed integration method facilitates the interaction between intelligent sensors and a distributed database by leveraging previously developed data aggregation techniques. This ensures data integrity and system resilience against errors and hardware failures. The paper also presents the architecture of the distributed monitoring system, which includes several layers: sensor nodes (S), data collection nodes (P), data processing nodes (C), and data storage nodes (St). Because the system incorporates mobile components that can dynamically change their position, reconfiguration is required using ontological methods, since the relative positioning of computational nodes significantly affects data transmission characteristics. The use of a distributed ledger for data storage guarantees the reliability of operations such as data recording, processing, and storage, ensuring the integrity and traceability of user information.