This invention discloses an IoT-based
intelligent management and control method for
engineering materials in large-scale
hydropower stations, relating to the field of
intelligent management and control technology. The method includes: acquiring the
engineering materials required for the large-scale
hydropower station, assigning a unique digital tag to each material, and establishing a full lifecycle dataset for each material; constructing a comprehensive digital map of the
hydropower station project, integrating real-time road conditions, construction progress, transportation vehicle performance, and site constraints, calculating the optimal transportation
route for
engineering materials, comparing the actual transportation trajectory with the planned
route in real time, calculating the real-time
route deviation minus the estimated
delay time, setting up a tiered early warning mechanism, and achieving automatic early warning for abnormal routes; implementing
dynamic resource collaborative scheduling of engineering materials, comprehensively analyzing the status of materials en route, the urgency of needs at each construction site, the distribution of reserve inventory, and available
transportation capacity, and generating a globally optimal emergency scheduling plan for the large-scale hydropower
station. This invention enhances the resilience of the supply of engineering materials for large-scale hydropower stations.