China Baowu Steel Group

Solution

Baowu and Baidu AI Cloud created a three-layer industrial AI architecture for ladle operations and process optimization. At the bottom, internal systems and field equipment feed state data, image streams and production-process data into Baidu's ingestion resources. The platform layer then provides the industrial-data intake, IoT connectivity, machine-learning environment and big-data services required to manage those feeds securely in the cloud. On top of that, Baowu and Baidu planned and deployed application services focused on ladle hidden-danger prediction, image-based inspection, energy optimization and production-process improvement. This lets the enterprise work from one shared data foundation rather than separate tooling for each problem. The key technical pattern is to combine IoT-safe uplink, machine vision and machine-learning models around a closed production asset—the steel ladle—so safety, maintenance and thermal-parameter optimization can all be improved from the same lifecycle data.

Data flow

Ladle state data, imagery and process data are ingested through IoT and data-ingestion resources into the Baidu platform layer, where machine-learning and vision services analyze the information and return hidden-risk, energy and production-optimization outputs.