O&M prediction and risk evaluation are conducted through intelligent data analysis to reduce the O&M cost of steel manufacturing;
When building a PHM model, as opposed to the conventional method, our solution allows the equipment to obtain offline data through intelligent data analysis, without the need to train the model offline before putting it into use. This improves the model updating and iteration efficiency, and makes the response to equipment updates faster.


A steel manufacturer
Project Results

Quick building of PHM models

By building an O&M optimization and operation management platform, the real-time access to the timing measurement points and waveform data of the production equipment is realized via the IoT platform. With the operators and computing power provided by the model center, the PHM models of the equipment can be quickly built and updated iteratively with new data.

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