复杂环境下的烧结机篦条故障实时检测方法研究OA

During the operation of the sintering machine grate,complex environments such as dust interference and camera occlusion can reduce the accuracy of grate detection and increase the false alarm rate.In order to achieve intelligent real-time monitoring of grate faults,a grate fault detection method based on dynamic adaptive masks is proposed in this paper,in this study,the grate fault of Anshan Iron and Steel Group Corporation is taken as the online detection experimental object.We first analyze the complex environmental characteristics faced by the grate bars during operation.Based on the frame difference method and threshold method,the adaptive mask for camera occlusion detection is generated and updated to exclude occlusion and interference features in the grate bar image from the fault detection range,thereby reducing the false alarm rate of fault detection.The experimental results show that the proposed method can achieve ideal accuracy and false alarm rates in application,ensuring the reliability of grate detection.