11 results about "Integrity assessment" patented technology

The application discloses a kind of multi-scale modeling and fracture simulation method for compressed air energy storage cover layer integrity evaluation, steps include: constructing multi-scale heterogeneous geomechanics model;Establish the fatigue damage constitutive relationship under rock loading and unloading condition;Establish fracture simulation control equation;Multi-scale calculation strategy and local adaptive grid are constructed;Cyclic loading condition simulation and integrity quantitative evaluation are carried out.The application is designed for the core damage mode of CAES gas storage low pressure fatigue, compared with general structure analysis software, the pertinence and accuracy of cover layer integrity evaluation are higher, the heterogeneous geological characteristics of cover layer are truly reflected, the process of crack initiation and propagation in cover layer under cyclic injection and production conditions is accurately simulated, and the advanced prediction and quantitative evaluation of cover layer integrity failure risk are realized.

This invention belongs to the field of road assembly technology and discloses a method, device, equipment, and storage medium for evaluating the integrity of concrete pavement. The method includes: obtaining a bending fatigue remaining life factor based on stiffness information; obtaining a bidirectional load transfer capacity factor for the assembled surface based on the difference in longitudinal and transverse loading displacements and the weights of the longitudinal and transverse load transfer coefficients; obtaining a structural interlayer vertical deformation coordination factor based on the assembled surface displacement, support layer displacement, and displacement tolerance; and obtaining a dynamic integrity index based on multiple factors for integrity evaluation. This invention quantifies pavement performance from three key dimensions—fatigue life, load transfer, and interlayer deformation—by calculating the bending fatigue remaining life factor, the bidirectional load transfer capacity factor for the assembled surface, and the structural interlayer vertical deformation coordination factor. It not only reflects the instantaneous state but also adjusts with changes in load and environment, enabling real-time evaluation during construction acceptance and long-term monitoring, thus improving the timeliness and accuracy of the evaluation.

Abstract A system for visually monitoring a wind turbine blade attachment region is disclosed. The system comprises at least one imaging sensor and a processor configured to extract visual reference features from captured image data and register the data to a spatial reference frame. Based on this spatial reference frame, the system identifies at least one unique component within the attachment region, such as pitch bearings and fasteners, to determine their precise location, orientation, and condition. The processor is configured to detect mechanical degradation, including positional displacements such as fastener rotation indicative of structural loosening, and surface anomalies such as cracking or lubricant leakage. The system may be further configured for independent blade pitch angle calculation, calibration of inertial measurement units using the visually derived reference frame, and temporal comparison of registered image data. Condition data and fault alerts may be output to an external interface for remote monitoring. Abstract 20 26 20 20 12 17 M ar 2 02 6 A b s t r a c t 2 0 2 6 2 0 2 0 1 2 1 7 M a r 2 0 2 6 A b s t r a c t 2 0 2 6 2 0 2 0 1 2 1 7 M a r 2 0 2 6

The application discloses a kind of underwriting risk assessment report generation method and system, comprising: the text data of the insured person, insurance vehicle video stream and external environment data are acquired in real time, and the physical defect feature set of each vehicle video stream is extracted;Text features, the physical defect feature set and initial environmental risk factor score are fused through attention mechanism layer across modalities, generate fusion feature vector, and the target surface damage quantitative value, target component rust area proportion and target environmental risk factor score obtained by decoding the fusion feature vector;Through the target large language model of pre-setting, in autoregressive manner item by item generate structure integrity evaluation item, mechanical failure probability prediction item and environmental damage risk trend item, until all evaluation items are generated, obtain the underwriting risk assessment report.The present application can dynamically capture the physical state change of insurance object, and then improve the timeliness and explainability of risk assessment.

The application provides a kind of deep sea umbilical cable sea trial scene structural integrity real-time detection system and method, related to ocean engineering technical field, the system includes core detection module, environmental adaptive module, data fusion processing module, integrated protection installation module, the method includes: sea trial preparation: confirm umbilical cable specification and research vessel winch layout;System installation and calibration: system axis and umbilical cable deployment path alignment, installation, calibration core detection module;Sea trial deployment monitoring: real-time data analysis based on mutation threshold algorithm, scientific decision-making;Real-time data processing and storage: real-time display of outer diameter curve, store data, screen suspicious areas;Umbilical cable recovery monitoring: secondary verification umbilical cable structure state, compare deployment data to generate difference report;System removal and maintenance, analysis to generate integrity assessment report.The application can detect the outer diameter, surface defects in the process of umbilical cable sea trial deployment and recovery in real time.

The invention relates to a mining area road abnormity assessment method based on road surface data, and relates to the technical field of mining safety monitoring, and the method comprises the steps: collecting a road video stream in real time, and carrying out the frame analysis and preprocessing; extracting pavement textures, edge contours and three-dimensional geometric structure features; constructing an evaluation index set containing the flatness index, the retaining wall integrity coefficient and the notch density; recognizing retaining wall collapse, pavement gaps and structural deformation through a feature key point three-dimensional coordinate positioning technology; using a pre-training deep learning model to output a risk score; and generating a road integrity evaluation report containing the GIS positioning map and the risk thermodynamic diagram according to a fusion result. The system adopts a collaborative architecture of an edge computing unit and a central server, and integrates a 4K camera group, an FPGA acceleration module and a multi-source data fusion interface. According to the application, the limitation that the traditional monitoring technology depends on a single-point physical sensor is broken through, millimeter-level analysis and minute-level response of road microscopic deformation are realized, and the intelligent level of safety management of a mining area is remarkably improved.

The invention provides a real-time detection system and method for structural integrity of a deep-sea umbilical cable in a sea test scene, and relates to the technical field of ocean engineering.The system comprises a core detection module, an environment self-adaption module, a data fusion processing module and an integrated protection installation module; the method comprises the following steps: sea test preparation: confirming the specification of an umbilical cable and the layout of a scientific investigation ship winch; system installation and calibration: aligning a system axis with an umbilical cable laying path, and installing and calibrating a core detection module; carrying out sea trial deployment monitoring: analyzing data in real time based on a sudden change threshold algorithm, and carrying out scientific decision making; real-time data processing and storage: displaying an outer diameter curve in real time, storing data, and screening suspicious areas; umbilical cable recovery monitoring: verifying the structure state of the umbilical cable for the second time, and comparing laying data to generate a difference report; and dismantling and maintaining the system, and analyzing to generate an integrity evaluation report. According to the invention, the external diameter and surface defects of the umbilical cable in the marine test laying and recovery process can be detected in real time.

This application discloses a metacognitive reasoning and dynamic adaptive intent understanding system based on human-computer collaboration, belonging to the field of artificial intelligence technology. It includes: an input processing module that receives user input; a two-stage knowledge retrieval module that uses the MN-BERT model to classify user intents by difficulty to narrow down the retrieval scope, and then uses a Rerank model to refine the candidate intent set and filter out relevant intents; an LLM reasoning module that, based on the retrieval results, uses a large language model to perform metacognitive reasoning, locates the final target intent, and intelligently infers and completes the required parameters; an intent integrity assessment module that evaluates the completeness of the reasoning results; if incomplete, a multi-turn dialogue guidance module is triggered, which dynamically generates guidance questions through LLM and interacts with the user to complete the information; and a continuous learning and knowledge base update module that continuously collects interaction data, optimizes the model, and updates the knowledge base. This system solves the problems of balancing intent retrieval efficiency and accuracy, insufficient depth of reasoning for complex intents, and rigid interactive guidance.

The invention provides a multi-dimensional dynamic risk map-based intelligent and inexpensive assessment early warning method, which comprises the following steps of: acquiring multi-modal data from an internal system and an external platform of an enterprise through an API (Application Program Interface), and providing input for subsequent data fusion; fusing the multi-modal data by adopting a multi-modal variational auto-encoder, dynamically adjusting the feature weight through online Bayesian updating, and generating unified potential representation and risk score; constructing a space-time diagram based on the potential representation and the risk score, generating space-time risk features through a space-time diagram neural network, constructing a dynamic knowledge graph, and predicting a risk causal path by adopting a structural causal model; and visualizing the space-time risk characteristics and the risk causal paths through a three-level data cockpit, generating a risk distribution thermodynamic diagram, and pushing early warning information including risk scores, the risk causal paths and the positions of the thermodynamic diagram through a mobile terminal application. The scheme can be used for realizing low-cost early warning and evaluation through multiple dimensions.

The present application belongs to the technical field of anti-seepage structure evaluation, and particularly relates to an anti-seepage structure integrity evaluation method and system based on resistivity imaging, which comprises the following steps: firstly, collecting complex admittance data of monitoring points and extracting phase loss angle features to strip the interference of underground environment humidity fluctuation through phase information; then, constructing virtual part admittance gradient features in combination with structure anisotropy correction factors to enhance the recognition degree of small damage edges; calculating seepage probability weight by using reference gradient deviation, and identifying seepage clusters based on adaptive seed point screening and eight-neighbor connected domain marking algorithm to obtain continuous seepage area; finally, calculating integrity score through a nonlinear model by introducing risk sensitivity index and area penalty weight to realize accurate early warning and positioning. The present application effectively solves the problem of poor seepage recognition accuracy under complex background interference, and significantly improves the robustness and scientificity of the evaluation result.

The invention belongs to the technical field of pavement assembly, and discloses a concrete pavement integrity evaluation method, device and equipment and a storage medium. The method comprises the following steps: obtaining a bending fatigue residual life factor according to rigidity information; according to the longitudinal and transverse loading displacement differences and the longitudinal and transverse load transfer coefficient weights, obtaining a two-way load transfer capability factor of the assembly surface; obtaining a vertical deformation coordination factor between the structural layers according to the assembly surface displacement, the supporting layer displacement and the displacement tolerance value; obtaining a dynamic integrity index according to the plurality of factors to perform integrity evaluation; according to the method, the pavement performance is quantified from three key dimensions of fatigue life, load transfer and interlayer deformation by calculating the bending fatigue residual life factor, the assembly surface bidirectional load transfer capability factor and the structure interlayer vertical deformation coordination factor, the instantaneous state is reflected, adjustment can be carried out along with the change of loads and environments, and the stability of the pavement performance is improved. Real-time evaluation is carried out in construction acceptance and long-term monitoring, and the timeliness and accuracy of evaluation are improved.