7results about How to "Reduce engineering risk" patented technology

The invention discloses an offshore wind power project soil space variability analysis method. The method comprises the steps that drilling data and CPT data of an offshore wind power project are collected and preprocessed; a mathematical model is established, a correlation function of drilling and CPT is constructed, and distribution characteristics of model parameters are obtained; taking the obtained distribution as initial estimation, and for any to-be-predicted point, obtaining an optimal predicted value of the point in a spatial domain according to the known data points and spatial distribution characteristics of the to-be-predicted point; the prediction result is verified and corrected by using actually measured data obtained in the actual construction process; and a high-precision soil body spatial variability prediction model is obtained through repeated iterative optimization and is used for guiding fan foundation construction scheme formulation, optimization and engineering risk assessment. The method provides data support for the whole wind power plant.

This invention discloses a system for predicting the risk of recurrence after lumbar disc herniation surgery based on domain offset correction, relating to the fields of medical data processing and clinical disease risk prediction technology. The system acquires multimodal clinical and imaging feature vectors and follow-up outcome data from training and independent validation cohorts. It trains a center classifier to quantify and correct for differences in multi-center data distribution, calculates and normalizes the importance weights of each training case, trains a survival analysis base learner based on the processed weights, and performs stacking and ensemble integration. The final deployment model is determined by combining the independent validation case cohort. The final deployment model is then used to infer the risk of recurrence in target patients after lumbar disc herniation surgery, outputting individualized recurrence risk scores, risk stratification, and recurrence-free survival curves. This improves the robustness and reliability of the risk prediction system in cross-center scenarios and is suitable for follow-up management and clinical decision support after lumbar disc herniation surgery.

The application belongs to the technical field of electric power survey design, and discloses an electric power survey design integration method and system for smart grid construction, which comprises the following steps: extracting preset engineering characteristics of existing survey results in a current engineering area, combining current engineering planning condition characteristics to form a sample set; inputting the sample set into a pre-trained graph neural network to output engineering application probability and instability risk score of each survey result, wherein the nodes of the graph neural network correspond to single survey result, and the edges are constructed based on spatial adjacency, engineering correlation or common participation in design relationship; generating design consistency constraints for survey results meeting a preset threshold; and finally checking the compliance of the design scheme and the constraints. The method realizes substantial integration of survey and design, improves design efficiency and quality, and reduces the risk of rework.

This invention provides a sealing structure for building openings, relating to the field of building construction technology. It includes a cross-section enlargement structure installed on the exterior of corner columns; a main beam positioned along the stress direction of the building opening, with both ends connected to the cross-section enlargement structures on two adjacent corner columns; and secondary beams, which are composite beams composed of H-beams and a superstructure plate. The H-beams span between the main beams and are fixedly connected to them, with the superstructure plate covering the H-beams. This invention enhances the load-bearing capacity and deformation resistance of existing corner columns by installing cross-section enlargement structures on their exteriors, thereby improving the stability of the entire sealing structure. The newly added main beams are arranged along the stress direction of the building opening, and the new secondary beams are a combination of H-beams and a superstructure plate. The H-beams provide high-strength load-bearing capacity, while the superstructure plate further distributes the load, thus improving the overall bending stiffness and load-bearing capacity of the sealing structure.

The application provides a signal carding method and system for control system reconstruction, which comprises the following steps: obtaining multi-source engineering files of a control system to be reconstructed and extracting signal related information; performing consistency comparison on overlapping information from different files for the same object, and recording inconsistent available information as inconsistent information; integrating available information sets based on the corrected inconsistent information and the information passed by the consistency comparison; analyzing the available information sets based on preset identification rules, reversely identifying a complete signal set for the reconstruction design, and generating corresponding attribute information sets for each signal to form a final I / O list for the reconstruction. Through the establishment of a systematic reverse carding process and signal identification rules for analog / relay systems, the application solves the problems of incomplete, inaccurate and inconsistent signal carding with the state of the art in the in-service reconstruction project, and provides an accurate and reliable data basis for subsequent reconstruction design.

The application discloses a water conservancy and hydropower engineering construction management system and relates to the technical field of water conservancy and hydropower engineering construction. In view of the problems of static management and lagging interference response of the existing system, the system comprises a multi-source data acquisition module, an interference source identification and grade evaluation module, a resource demand prediction module, a resource linkage deployment module and a warning and feedback optimization module, and forms a closed-loop management process. The system improves the accuracy of dynamic interference source identification to more than 92%, shortens the resource deployment response time by 60%, and reduces the engineering safety accident rate by 40%, and is suitable for the management of various water conservancy and hydropower engineering constructions.

This application relates to the field of corrosion assessment model construction technology, specifically to a method and system for constructing an intelligent assessment model for corrosion in subsea pipelines. The method includes: discretizing a concave pipe section into multiple series-connected computational containers based on pipeline elevation characteristics; determining the impact mass of liquid plugs overflowing into the rising pipe section; constructing a scour characteristic index characterizing mechanical scour intensity; using historical detection data to extract the corrosion depth corresponding to the chemical corrosion rate benchmark value, obtaining the erosion wear depth component; performing regression analysis based on the scour characteristic index and the erosion wear depth component to determine the wear conversion factor and establish a mapping relationship between the scour characteristic index and the mechanical scour rate; integrating the chemical corrosion rate benchmark value and the mapping relationship to construct an intelligent assessment model for corrosion in subsea pipelines, used to output the comprehensive corrosion rate of the subsea pipeline based on real-time operating parameters. This allows for accurate early warning of high-risk thinning events in the pipe wall of the rising section, significantly reducing the engineering risk of subsea pipeline perforation and leakage.