6 results about "Two-dimensional graph" patented technology

The invention discloses a substation two-dimensional diagram generation method and device based on semantic feedback compensation. The method comprises the steps of obtaining a semantic model of a target substation; wherein the semantic model defines the technical parameters of each electrical equipment element in the target substation, the two-dimensional spatial layout of all electrical equipment elements and all functional area elements, and the topological connection relationship of all electrical equipment elements, and the functional area elements are used for placing the electrical equipment elements; generating an initial two-dimensional diagram of the target substation based on the semantic model; determining deviation information between the initial two-dimensional diagram and the semantic model; and compensating the initial two-dimensional diagram by using the deviation information to generate a final two-dimensional diagram conforming to the semantic model. The invention further provides computer equipment and a computer readable storage medium.

The application discloses a K-nearest neighbor power line identification method using comprehensive features, which comprises the following steps: inputting radar target echo to signal detection to obtain strong scattering points, correlating multiple frames of data to obtain a pitch-distance two-dimensional graph and an X-Y two-dimensional graph, identifying a power tower to obtain a power tower position, obtaining power line straight lines of a tower topology, detecting the power line straight lines, extracting power line features, obtaining power line straight line feature vector samples and noise straight line feature vector samples, identifying unknown straight line feature vectors according to an expert knowledge base, and obtaining a power line identification result. The application is based on power line Bragg scattering echo peaks, combined with closely related power tower target identification, extracts comprehensive features, performs power line matching on the power line straight lines obtained through straight line detection and the power line straight lines obtained through the tower topology, and realizes accurate identification of the power line based on a K-nearest neighbor algorithm, so that the correct identification probability is high, the target identification range is wide, and the self-adaptation capability is strong.

An ultrasonic diagnostic apparatus and an ultrasonic image processing method are provided. A marker (48) that specifies a lesion portion (50) is displayed on a tomographic image (42). A two-dimensional graph (44) and a graph (46) are displayed regardless of display of the marker (48). The two-dimensional graph (44) represents a spatial distribution of a lesion probability. The graph (46) represents a temporal change in the lesion probability.

Some embodiments of the present application provide a hand-eye calibration method and device, which simplifies the installation of the calibration block, uses a two-dimensional graphical target map on the manipulator, and uses a three-dimensional point set composed of the graph center to solve the pose, thereby reducing the processing and installation precision requirements of the calibration block, and the difficulty of solving the conversion relationship of the calibration block. The method uses a target map instead of a calibration block, reduces the error generated by the calibration block, and solves the target rigid body transformation relationship through a three-dimensional point set matching algorithm, which can effectively reduce the time consumption compared with the point cloud registration algorithm. In the linear solution of the hand-eye standard equation, the rotation matrix is solved by using the rotation axis method, which reduces the algorithm solving difficulty and effectively avoids the solving abnormality and failure problem caused by the matrix form represented by the trigonometric function or the rotation angle. Under the premise of ensuring the calibration accuracy, the calibration process is simplified and convenient to maintain, solving the problem that the current hand-eye calibration method is not accurate enough and not convenient to operate.

The method for extracting abnormal boundary in interpretation map based on geophysical exploration comprises the following steps: obtaining resistivity data of a survey area, inverting the resistivity data to obtain inverted resistivity data; obtaining a resistivity space grid file according to the inverted resistivity data; obtaining a median value of resistivity of any two adjacent grid nodes in the resistivity space grid file; obtaining a normalized derivative operator of resistivity of any two adjacent grid nodes in the resistivity space grid file; redefining the resistivity of each grid node in the resistivity space grid file according to the median value and the normalized derivative operator to obtain a normalized resistivity of each grid node; and drawing a normalized two-dimensional graph according to the spatial position relationship of the normalized resistivity, and obviously displaying the abnormal boundary through the normalized two-dimensional graph. The method can improve the ability of geological anomaly identification and provide a basis for boundary division.

This invention discloses a traffic flow prediction method based on graph serialization and bidirectional state space. First, a spatiotemporal graph of traffic flow is constructed. Topological features of nodes are extracted using a graph attention network, and a double-random permutation matrix reflecting the optimal traversal path is generated through a differentiable relaxation sorting operator, adaptively mapping the two-dimensional graph structure data to one-dimensional serialized features. Then, a bidirectional gated state space model is constructed, and the serialized features are recursively scanned from both the forward and reverse directions using discretized state space parameters, and a hybrid hidden state is obtained through fusion using gated units. Finally, the transpose of the permutation matrix is ​​used to perform an inverse transformation on the hybrid features to restore the spatial structure, and the future traffic flow is output through a prediction head. This invention effectively solves the problem that traditional state space models struggle to handle graph structure data, achieving end-to-end joint optimization of the graph traversal strategy and the prediction model, significantly improving the accuracy and efficiency of long-sequence traffic prediction.