Quality control for raw materials used in concrete production

Abstract

This invention presents a system and method for the real-time, autonomous quality control of raw materials used in concrete production. The system can detect changes in material properties, issue alerts, and autonomously adjust the concrete mixture to compensate for those changes. The system comprises a network of sensors, including cameras, ultrasonic sensors, spectrometers, and temperature sensors, strategically positioned at various points in the concrete production process. An AI-based control system analyzes real-time data from these sensors to determine properties of the raw materials, such as water content, density, particle size distribution, impurities, temperature, and color. The AI system autonomously generates alerts and adjusts the concrete mixture in response to detected deviations from desired specifications, ensuring consistent concrete quality and reducing reliance on manual intervention. This proactive approach optimizes concrete production by improving consistency, reducing the risk of failures due to substandard raw materials, and increasing efficiency.

Dependencies are inferred from the claim text.