DEEP HIERARCHICAL FUZZY ALGORITHM-BASED ENVIRONMENTAL PROTECTION EQUIPMENT RECOGNITION METHOD AND SYSTEM

摘要

A deep hierarchical fuzzy algorithm-based environmental protection equipment recognition method and system. The method comprises the following steps: (1) acquiring harmonic signal data of environmental protection equipment by means of a harmonic detector, and acquiring corresponding environmental protection equipment type information on the spot for constructing a training sample dataset; (2) extracting an eigenvector of data in the training sample dataset by means of a local mean decomposition method, and training, by using the training sample dataset, a deep hierarchical fuzzy system constructed on the basis of the least square method, so as to construct a recognition model; and (3) evaluating the input harmonic signal data by using the recognition model to determine whether the detected equipment is the corresponding environmental protection equipment. The method can detect equipment in real time and determine whether the equipment is the corresponding environmental protection equipment, thereby avoiding the problems of secretly mounting a detection instrument onto non-environmental protection equipment and mismatch of environmental protection equipment types.