8 results about "Point model" patented technology

This invention discloses an industrial Internet of Things (IIoT) platform, relating to the field of IIoT technology, comprising a point modeling module, a business analysis module, a point matching module, a state chain generation module, a state chain operation module, a topic scheduling module, a linkage action orchestration module, and an execution receipt verification module. The point modeling module generates point information, point reliability, and on-site message data; the business analysis module generates a business requirement diagram; the point matching module generates point binding relationships; the state chain generation module generates a state chain; the state chain operation module calculates state satisfaction values ​​and valid state satisfaction values, and generates state correction results; the topic scheduling module determines message transmission strategies; the linkage action orchestration module generates on-site control commands; and the execution receipt verification module confirms the execution status and generates a receipt correction action. This invention improves the consistency and traceability of business state transitions, anomaly correction, and action execution confirmation.

A steel structure digital restoration device and method for digital twin construction, the device comprises a structure recognition module, the structure recognition module is configured to: the point cloud information of the acquired steel structure is executed in a virtual three-dimensional space according to its embedded space coordinate information based on the corresponding restoration operation of position, the total model field about the distribution of point cloud in space is acquired, and the restored point cloud information is in the form of a point model in the total model field;Based on the distribution of point cloud, the position with the best point model density is automatically selected, slicing is carried out to obtain the basic cross-section data of the structure;Based on the image in the basic cross-section data, the identification and judgment of the type of steel structure are executed, after correctly identifying the type of steel structure, the three-dimensional model fitting restoration of slicing is executed based on the identified type of steel structure.The present application can directly restore the three-dimensional pipeline model with high precision, and the engineering personnel can obtain the information of all steel structures in the whole factory by directly observing the three-dimensional steel structure model with sufficient rich details.

The application provides a three-dimensional terrain geological modeling method and device based on material point method simulation, and relates to the technical field of geotechnical engineering numerical simulation, and comprises the following steps: S1, extracting elevation data of a three-dimensional terrain geological region model; S2, converting the elevation data into three different type model component data and processing; S3, based on the generated model component data, discretizing the model into material points to generate a material point model; S4, importing the generated material point model into a material point method calculation program to perform material point method simulation, and obtaining large deformation of the geology according to the material point method simulation; the application effectively solves the problem of large deformation simulation modeling caused by complex and diverse terrain and landform, is efficient, stable, simple and feasible, significantly improves the modeling efficiency of the material point method and the quality of the generated material point model, and effectively promotes the application of the material point method simulation in the field of geotechnological engineering numerical simulation.

This invention discloses a method, apparatus, and storage medium for establishing ACM weld point models. It automatically detects and deletes target weld points through scripts or program instructions, determines the size of the weld nugget refinement mesh based on the set weld nugget diameter, obtains modeling information and corresponding finite element models of non-coincident weld points, and automatically locates and adaptively updates the refinement area of ​​the connector based on the weld nugget refinement mesh and the modeling information of non-coincident weld points. It traverses all target weld points to be updated, completing the refinement of the weld point connector mesh and the batch automatic generation of new ACM weld points. This method ensures the accuracy of the ACM weld point model and improves modeling efficiency.

The invention discloses a non-intrusive user load monitoring method and system for a sequence-to-point model, and relates to the field of non-intrusive power load monitoring, and the method comprises the steps: constructing a load decomposition network structure model, completing the pre-training of a decomposition network model through the supervised training and verification of a public data set, and obtaining a non-intrusive user load model; the transfer learning of the model is completed through supervised training of a private data set, real-time feedback or adjustment is provided according to a monitoring result, and the performance of the model in practical application is evaluated and optimized. According to the method, the required data set is constructed in a mode of combining the public data set and the private data set, standardization processing is performed to solve the problem of insufficient data sample size faced by a deep learning model NILM, transfer learning of the model is performed in combination with data in the private data set, so that the method adapts to different environments and requirements, and the method is suitable for large-scale popularization and application. And the generalization ability and accuracy of the model are improved, so that the problem of insufficient training data is relieved.

The invention provides a c code and verilog code generation method and device, and relates to the technical field of software development and FPGA board card debugging. When the method is executed, firstly, a model is built through GCKontrol modeling software, secondly, floating-point simulation is conducted on the model, thirdly, subsystem packaging is conducted on a module, needing to automatically generate the verilog code, in the model, then the module, needing to automatically generate the verilog code, in a subsystem is calibrated according to a floating-point simulation result, then, the calibrated model is simulated, and finally, the model is subjected to automatic generation of the verilog code. And finally, if the simulation result of the model accords with the expectation, generating a c code and a verilog code at the same time by utilizing the calibrated model. In this way, the c code and the verilog code are automatically generated at the same time.

The invention discloses an anti-fraud method and system, which is based on a feature importance distribution mechanism of a gradient boosting decision tree (GBDT), automatically learns an optimal weight combination of relation features and individual features, and identifies a high-order interaction effect of the relation features of gang and individual features of a single point by using a nonlinear fitting capability of a tree model. A graph algorithm captures a relation change relation and supplements the relation change relation to traditional individual change features, the problems that a traditional single-point model cannot capture an incidence relation and an independent graph algorithm ignores individual behaviors to cause misinformation are solved, and fusion of multi-dimensional fraud features is achieved. The individual features and the relation features are combined and input into a CatBoost algorithm for reasoning and judgment, and the higher accuracy rate and the higher recall rate compared with a single graph algorithm model and a single Boosting algorithm model are obtained.

The present application belongs to the technical field of three-dimensional geological modeling, in particular relates to a kind of GIS-MPM seamless integration dynamic three-dimensional geological model construction method, this method based on GIS platform secondary development seamlessly integrates GIS with MPM (material point method), utilizes GIS to carry out three-dimensional modeling and three-dimensional visualization, utilizes MPM to carry out geotechnical mass large deformation numerical calculation, simultaneously, it is combined with the mutual conversion technology between elevation grid data model and material point model, and the adaptive technology of material point and background grid, constructs the dynamic three-dimensional geological model that can carry out quantitative display.This method makes up the deficiency in traditional static modeling method, provides effective way for improving three-dimensional geological model quantitative calculation analysis and dynamic simulation display capability, makes three-dimensional geological model truly have "vitality", therefore have certain practical significance and application value.