The mechanism and model of anomaly detection and diagnosis for the production equipment in petrochemical industry have the defects of strong subjectivity and mismatch with the actual parameters. Based on the practice and summary of anomaly detection and diagnosis technology of the oil chemical production equipment, combined with the current mainstream data analysis technology, realtime analysis of production equipment on the temperature, flow and pressure data, find the hidden data behind the law, make big data sound, timely warning and fault handling, and to make more informed decisions, reduce losses. Through the test of the tower top temperature variation range of a catalytic converter, it is found that the accident is eliminated in the bud state 6 minutes ahead of time. This technology has practical value in engineering, and it is worthy to be popularized in the field of industrial control.