30 results about "Block modeling" patented technology

A method and system are provided. The system includes a network configurator for configuring a network as a backplane of the system to optimize throughput rate and minimize latency across a plurality of subsystems that are cloud-based and that form the system. The plurality of subsystems includes hardware and software subsystems. The system further includes a composable system building block configurator for refactoring, based on a disaggregated system principle, the plurality of subsystems to use the network to communicate as a single system. The system also includes a system resource multidimensional model generator for generating a multidimensional optimization model that models the composable system building blocks as resources having adjustable parameters in a multidimensional parameter space.

The invention discloses a block model building method for complex geological structure, and relates to the geological field of three-dimension modeling comprising the following steps: a, triangular meshing description is carried out on planes or fault planes; b, after step a, level intersection in block modeling for complex geological structure is converted into triangle intersection in space, whether the two triangles are intersected is judged, points of intersection are found from the two intersected triangles, and a line of intersection is obtained by connecting the points of intersection;c, geometric consistency and topological consistency are carried out on inside of each intersected triangle; d, after step c, enclosing block is extracted to obtain an interface formed by peripheral sides of the enclosing block, and is defined geological attribute to form three dimension model block. The method in the invention completely solves the problems of three dimension model input and blocking in complex geological regions, avoids using equations set with high solving difficulty and calculated amount, and is simple and practical.

The invention discloses a distributed chemical process monitoring method based on a regularized GCCA model, which is used to solve the problem of distributed chemical process monitoring. The method of the present invention utilizes the involved regularized generalized canonical correlation analysis (GCCA) algorithm to simultaneously consider the commonality between variable blocks and the uniqueness within each block when implementing multi-block modeling, and can be applied to overlapping and non-overlapping variables at the same time Chunking mode. Compared with the traditional method, the regularized GCCA algorithm involved in the method of the present invention takes the common features between the variable sub-blocks into consideration through the square of the typical correlation coefficient, and further uses the least squares regression algorithm to describe the inter-block correlation features. relationship between. In addition, the method of the present invention also considers inter-block correlation features and intra-block features separately, and uses two comprehensive monitoring indicators to implement monitoring separately. Therefore, the method of the present invention is a more superior distributed chemical process operation state monitoring method.

The invention discloses a chemical fault monitoring method based on a generalized multi-block independent element analysis model, and aims to propose a generalized multi-block independent element analysis algorithm, which can implement non-Gaussian multi-block for overlapping and non-overlapping variable sub-block divisions Modeling, so as to use the generalized multi-block independent meta-analysis algorithm to implement distributed fault monitoring. In the process of implementing the modeling based on the independent element analysis algorithm, the method of the present invention simultaneously considers the uniqueness of each sub-block and the integrity between the sub-blocks, from the separation of the whole to the extraction of local sub-blocks, and then returns from the local sub-blocks to the whole Separate interleaved one-by-one extraction strategies. Therefore, the method of the present invention is a brand new non-Gaussian multi-block modeling and fault monitoring method. In addition, the superiority of the method of the present invention will be verified in specific implementation cases, thereby illustrating that the method of the present invention is a more preferred non-Gaussian distributed fault monitoring method.

The invention relates to a fine velocity modeling method based on gas cloud region constraints. The method comprises steps: a velocity model comprising a three-dimensional data mesh is defined, to-be-detected space is divided into a gas cloud region and a non-gas cloud region, and velocity data in the known logging data are used for counting velocity change trends of the gas cloud region and the non-gas cloud region; seismic interpretation horizon data are used and gas cloud region space distribution is combined to carry out block processing on the velocity model; velocity models for the gas cloud region and the non-gas cloud region are built; and a seismic interpretation horizon control technique is adopted to combine the velocity models for the gas cloud region and the non-gas cloud region, and an initial velocity model is acquired. In view of special geological phenomena in the gas cloud region, the gas cloud region and the non-gas cloud region are effectively distinguished, block modeling is carried out on the gas cloud region and the non-gas cloud region respectively, and through research on the velocity change trends of the gas cloud region and the non-gas cloud region, velocity modeling is carried out in a more targeted mode, the actual geological conditions are met, and the time-depth conversion precision is high.

The invention discloses a chemical process monitoring method based on time series multi-block modeling strategy, aiming to establish an integrated implementation framework of multi-block modeling and dynamic process monitoring, so as to implement effective dynamic process monitoring. Different from the traditional dynamic process modeling idea, the method of the present invention firstly samples the nodes according to the time series, and divides the augmented matrix or vector into multiple variable blocks; then, using the idea of ​​generalized canonical correlation analysis, optimizes the A projection transformation base, so as to extract the cross-correlation between variable blocks, can extract the autocorrelation feature on the time series. In order to comprehensively consider the results given by the multi-model monitoring indicators, the method of the present invention also uses comprehensive monitoring indicators to monitor the changes of dynamic and static score information respectively. In addition, the superiority of the method of the present invention will be verified in specific implementation cases, thereby illustrating that the method of the present invention is a more superior method for dynamic monitoring of chemical process.

A method and apparatus for creating a memory model for use in modeling a physical memory of an electronic circuit design. Memory write operations to the physical memory and memory read operations are modeled in a lookup table. The number of entries in the lookup table is limited by an upper bound representing a total number of memory operations that can occur over a given number of clock cycles.

Various embodiments identify a design including circuit features and identify an operation that produces an aggressor for victim(s). The operation on the aggressor and the set of victims are implemented using local maximally spanning spacetile(s) while satisfying some design requirements. Where the set of victims includes interconnects, the design may allow no bend in some interconnects. One or more spacetiles are used to perform the operation on the aggressor and implement the interconnects while introducing no bends in the interconnects by using local maximally spanning spacetile(s). Some implementation may perform block modeling for the aggressor to perform the operation on the aggressor and implement a set of victims while preserving the relative order of the interconnects by using the block modeling for the aggressor.

The invention discloses a double-layer data model-driven plant-level chemical process monitoring method. Relationships between sub-modules are modeled by constructing a double-layer data statistical analysis model on the basis of blocking modeling, so that a plant-level process is globally monitored. Compared with the conventional other plant-level process monitoring methods, the method has the advantages that each unit of the process can be monitored in each sub-module, relationship information between the sub-modules of the plant-level process can be effectively combined, and the whole plant-level process is globally monitored by utilizing a second-layer data model, so that the monitoring performance of the plant-level chemical process is greatly improved, and the industrial automation of the plant-level process can be favorably expanded and implemented.

The invention provides a method for designing a smooth inner cavity of a hollow casting mold or a hollow sand core, which includes modeling a standard block, and the surface of the constructed standard block is smooth, and then outputting an STL format file; outputting in a modeling software The STL format file of the mold or sand core; read the STL format file of the standard block, and scale the size of the corresponding direction of the standard block; read the STL format file of the mold or sand core; convert the scaled standard Blocks are arrayed; in each cross-section perpendicular to the X, Y or Z axis, judge the relationship between the contour of the standard block and the contour of the mold or sand core; judge the shape of the mold or sand core The distance between the outline and the outline of each standard block; reverse the normals of all the triangular faces of the finally retained standard block, and add the reversed standard block to the STL format file of the sand mold or sand core , to generate an STL file of a hollowed-out mold or sand core with a smooth cavity.