4results about How to "Low hardware requirements" patented technology

This invention relates to the technical field of seismic data interpretation, and discloses a method and computer equipment for identifying the locations of beaded reflections in carbonate rocks. The identification method includes: S1, obtaining a two-dimensional seismic migration profile; S2, extracting typical beaded reflections, determining their dimensions, statistically analyzing their structural morphology, and constructing adaptive hit-and-miss structural element pairs; S3, using a hit-and-miss transformation to identify locations that match the adaptive hit-and-miss structural element pairs. This invention's identification method extracts multiple typical beaded reflections, constructs adaptive hit-and-miss structural element pairs, and only identifies locations that match these pairs. Based on a hit-and-miss transformation algorithm, this algorithm has low hardware requirements, high computational efficiency, and high accuracy.

The application discloses a three-level coordinated production line body intelligent control method and system, and belongs to the technical field of intelligent manufacturing. The method comprises the following steps: establishing a global task planning layer, performing semantic analysis and logical disintegration at a first preset frequency, and generating an atomic action sequence; establishing a local space perception layer, receiving the atomic action sequence at a second preset frequency, constructing a dynamic local map by using sensor data, determining a workpiece pose by point cloud registration, and mapping the atomic action sequence into a continuous motion trajectory flow; establishing a real-time action execution layer, receiving an instantaneous target pose at a third preset frequency, calculating a theoretical driving torque by combining a Lagrange dynamics equation, switching to an impedance control mode at a contact moment, and driving an execution mechanism to complete work; and establishing an asynchronous coordination layer, realizing three-layer asynchronous communication through an industrial network, and controlling the three-layer frequencies to be distributed in a ladder type in an increasing manner. The application has the effects of improving the flexibility, precision and safety of a production line.

The application discloses a kind of detection method, device, readable medium and electronic equipment of audio playing equipment, the method comprises: obtaining the audio data to be measured played by the audio playing equipment to be measured;According to the preset segmentation duration, the audio data to be measured is divided, and a plurality of audio segments to be measured are obtained;Extract the audio feature to be measured of audio segment to be measured, and the audio feature to be measured is clustered and predicted, and the prediction result of audio segment to be measured is obtained;According to prediction result, matching is carried out in preset classification library, to determine the predicted category of audio segment to be measured;According to the predicted category of a plurality of audio segments to be measured, the detection result of audio playing equipment to be measured is determined, and detection result includes normal equipment and abnormal equipment.The application embodiment can be applied to cloud technology, artificial intelligence, intelligent transportation, auxiliary driving and various scenes.The technical scheme provided by the application embodiment refines detection data, improves detection precision and accuracy, and has fast calculation speed, effectively improves detection efficiency.

The invention relates to a water quality monitoring data analysis method and system based on a sponge city, and the method comprises the steps: responding to an analysis demand and range, and constructing and configuring a water quality monitoring data analysis processing layered architecture; collecting water quality monitoring data and carrying out pretreatment and storage treatment; performing batch processing on the static data, and / or performing streaming processing on the real-time dynamic data to generate a preliminary analysis result; importing the preliminary analysis result into a pre-constructed data model for processing, and iteratively optimizing parameters of the corresponding data model and algorithm parameters deployed by the data model; and actual monitoring data after a deep analysis result output by the application data model is observed and tracked, the architecture is actually optimized and adjusted, and a data result is converted into a visual form, encrypted and provided for an access object. The full-automatic management process provided by the invention not only improves the efficiency of data acquisition and analysis, but also greatly enhances the accuracy and intelligent level of the result, and reduces the supervision cost.