3results about How to "Automatic extraction" patented technology

This application discloses a cooling tower cleaning device, which includes a connecting pipeline with interconnected components: a first port extending into and communicating with the interior of the cooling tower; and a second port, the height of which is lower than that of the first port, connected to a water source interface. The second port is configured to be sequentially set to a first state and a second state during normal operation of the cooling tower. In the first state, the second port is connected to the water source interface to replenish water to the cooling tower and expel gas from the connecting pipeline. In the second state, the second port is disconnected from the water source interface and connected to the external environment to discharge liquid carrying impurities from the cooling tower based on a negative pressure siphon effect. The aim is to solve the technical problem of how to effectively clean a cooling tower while ensuring normal equipment operation.

The application provides a wind turbine tower inherent frequency real-time identification method and electronic equipment, and belongs to the technical field of wind power generation equipment state monitoring and fault diagnosis. The method comprises the following steps: S1, collecting vibration signals of a wind turbine tower; S2, pre-processing the vibration signals to filter out direct current components and extremely low frequency noises; S3, performing grouping processing on the pre-processed signals, performing frequency spectrum analysis on each group of signals, and extracting effective frequency points; S4, performing clustering analysis on a plurality of the effective frequency points based on a density clustering algorithm, and identifying a characteristic cluster representing the inherent frequency of the tower; and S5, calculating the real-time inherent frequency of the tower according to the characteristic cluster. The application can stably and automatically extract the characteristic cluster representing the real inherent frequency of the tower from strong noise and non-stationary vibration data, finally realizes automatic identification and tracking of the inherent frequency without manual intervention, and provides reliable technical support for intelligent monitoring of the structure health of the wind turbine.

The application discloses a kind of material attribute parallel extraction and conversion method and system for multiple CAD platforms, in response to material attribute extraction task, create and record the target CAD model path corresponding to task instance, target CAD platform type and output format information;Corresponding API interface is called from target CAD model path to carry out model file loading and parsing into structure tree, extract the multidimensional original attribute information bound to each component node;According to the preset field standardization template, multidimensional original attribute information is respectively mapped and unit converted, and a standardized data structure model is obtained;Generate structured XML file and perform verification, form the attribute extraction conversion file that meets the requirements of output format information, for external interface call.The application can automatically complete the extraction of material physical property field in CAD platform, structure standardization, format conversion and data verification, and finally output the extraction result as XML document format conforming to the aviation industry standard.