This paper presents a novel methodology for analyzing power consumption curves during the concrete mixing process, with a particular focus on their relationship to the granulometric composition of mixtures. The proposed methodology enables the interpretation of power consumption curves as indicators of changes in the granular composition of concrete recipes, thereby facilitating the implementation of inline measurement systems for real-time quality control during mixing. In this way, the concrete mixer can be interpreted not only as a processing device, but also as a sensing system capable of capturing characteristic signatures of mixture composition during production. In its fresh state, concrete exhibits complex physical phenomena that span multiple disciplines, from fluid dynamics, which is relevant to flow behavior and pumping, to statistical mechanics, which addresses stochastic variations in grain size distribution and packing density. A deeper analysis of power consumption curves can significantly enhance quality control and optimize concrete production and industrial applications where this methodology is implemented.