30 results about "Block modeling" patented technology

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.

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.

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 chemical fault monitoring method based on a generalized multi-block independent element analysis model, and aims to provide a generalized multi-block independent element analysis algorithm, and non-Gaussian multi-block modeling can be implemented for overlapped and non-overlapped variable sub-block division, so that the distributed fault monitoring is implemented by utilizing the generalized multi-block independent element analysis algorithm. According to the method, in the modeling process based on the independent meta-analysis algorithm, the uniqueness of each sub-block and the integrity between the sub-blocks are considered at the same time, and a mutually-staggered one-by-one extraction strategy from overall separation to local sub-block extraction and from local sub-block return to overall separation is adopted. Therefore, the method is a brand new non-Gaussian multi-block modeling and fault monitoring method. In addition, the superiority of the method provided by the invention can be verified by the specific embodiment, so that the method provided by the invention is a more optimal non-Gaussian distributed fault monitoring method.

The invention discloses a modeling method for a swing angle milling head complete machine based on block modeling and experimental parameter identification, and belongs to the technical field of modeling. According to the method, module division is determined according to the structure and junction surface distribution of a swing head, non-consolidation connection structures such as junction surfaces and bearings are used as boundaries among modules, an equivalent kinetic model is established, and a kinetic equation is solved. Then, a machine tool is split according to the divided modules, excitation experiments are conducted on the modules respectively, frequency response functions are collected, finite element models of corresponding modules are established, and joint surface parameterscapable of minimizing errors between theoretical values and measured values of the frequency response functions are searched through an optimization algorithm; The searched joint surface parameters are added to the finite element model of each module. The finite element models of all the modules are integrated into a model of the swing head complete machine, solving a tail end frequency response function ,the tail end frequency response function is compared with an actually measured frequency response function, and the reliability of the model and the feasibility of the modeling method.

The invention relates to underground engineering three-dimensional modeling and analysis, and discloses an underground cavern surrounding rock complex block modeling and stability analysis integrated method which realizes rapid modeling and automatic analysis and calculation so as to reduce the modeling and analysis working intensity of design engineers and improve the design working efficiency. According to the method, on the basis of an underground cavern model, a block sliding surface is established through the exposed position and occurrence of the block; direction judgment and cutting operation are carried out based on the block sliding surface, a surrounding rock block feature object is generated, and attribute assignment is carried out; feature decoding on the surrounding rock block feature object is performed, and the analyzed information is stored in an external file; finite element analysis software is called to read and analyze the file; a block three-dimensional model is reconstructed according to the analysis information, block identification and sliding surface numbering are performed, and then integrated solution and computational analysis are performed; and the stress magnitude and direction of the unit and node of each sliding surface are extracted according to the solving result, then the safety coefficient of the whole block is calculated, and a stability analysis report is outputted.

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.

The invention provides an element model based customized function block and configuration packaging method. The method includes steps of a), defining an inheritable function block element model and designing a standard instantiation interface and a uniform data structure; b) instantiating algorithm type function blocks which are universal in industrial control field; c) defining a configuration file structure; d) based on a control strategy of the inheritable function block element model, packaging into a customized function block; e) storing the customized block information into an originalconfiguration file. According to the invention, from the perspective of function block modeling, thought of an object-oriented method is absorbed, typical features and key data information of the algorithm function block are extracted and the inheritable function block element model is established. On this basis, numerous basic algorithm function blocks of an arithmetic type, a logic type, a control type, a time type and the like are instantiated and algorithm configuration and debugging demands in industrial process control can be met.

The invention discloses a distributed process monitoring method based on a multi-block independent component analysis algorithm, and aims to propose a novel multi-block independent component analysis algorithm, and use the algorithm to implement distributed non-Gaussian process monitoring, so that it can be used in construction In the process of modeling, the uniqueness of each sub-block and the integrity between sub-blocks are considered at the same time. In the process of implementing multi-block modeling, the method of the present invention does not simply extract score vectors for each sub-block, but an interleaved one-by-one extraction strategy from the whole to local sub-blocks, and then from local sub-blocks to the whole. Therefore, the novel multi-block independent component analysis algorithm proposed by the method of the present invention not only considers the uniqueness of each sub-block, but also considers the overall integrity. Therefore, the method of the present invention is a brand-new distributed non-Gaussian process monitoring method. In addition, the superiority of the method of the present invention will be verified in specific implementation cases, thus illustrating that the method of the present invention is a more preferred non-Gaussian process monitoring method.

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.