This paper presents a comprehensive analysis of the architecture, functional capabilities, and metrological properties of intelligent sensors, and proposes a method to enhance measurement accuracy. Purpose: to perform an in­depth analysis of intelligent sensors (IS) in relation to rocket and space technology (RST) products, and develop a detailed approach for improving measurement accuracy via the introduction of structural redundancy. Methods: a systematic analysis of IS architectures and functionalities was undertaken, together with formulation of a procedure for real­time identification of IS parameters during operation under unknown input signals. Results: it has been demonstrated that the integration of IS featuring self­adaptation and metrological self­monitoring fundamentally alters the architecture of distributed RST control systems. In addition, recommendations have been developed for selecting communication protocols appropriate to various RST subsystems. Practical significance: the establishment of criteria for the selection and design of IS, along with the introduction of a mathematical framework for creating IS with metrological self­monitoring function to enhance the autonomy, reliability, and measurement accuracy of RST products.