4results about How to "Improve prevention capabilities" patented technology

The invention discloses an information security vulnerability processing system and method, and particularly relates to the technical field of computer security, and the system comprises a network monitoring module, an intrusion detection module, an abnormal network information detection module, an early warning module and an intrusion tracking module, illegal intrusion behaviors are collected through log records, the intrusion detection module judges the legality of network access by detecting data streams of a network, keyword matching is conducted on the captured data streams, and the abnormal network information detection module conducts abnormal information detection on the received data streams. The early warning module automatically responds to the detected network vulnerability, and the intrusion tracking module adopts information tracking to judge the trace of an attack intruder. Various network risks can be assessed by monitoring various data in the network and centralizing the data captured by the monitoring points in the abnormal network information detection module for processing.

The application belongs to the field of airport management, and relates to a smart video inspection method and system based on a multi-modal large model, which comprises the following steps: 1, based on unstructured text in airport data, a structured knowledge graph is constructed, and a high-dimensional semantic vector is obtained based on nodes of the structured knowledge graph; 2, feature extraction is performed on various data including monitoring video to generate multi-modal joint feature representation; the multi-modal joint feature representation comprises space-time information and rule context; 3, based on the high-dimensional semantic vector and the multi-modal joint feature representation, it is judged whether an abnormal event occurs in the terminal building; 4, if an abnormal event occurs, a structured instruction is generated based on the abnormal event, and the terminal building is optimized in a closed loop based on the structured instruction; based on the existing video monitoring environment and data of the airport, an integrated intelligent system is provided for intelligent inspection of the terminal building, and automation, refinement and closed-loop management of the inspection are realized.

The present application relates to the field of tunnel engineering geology and support design, and discloses a soft surrounding rock tunnel deformation risk discrimination method based on shear dilation-shear constitutive, comprising the following steps: constructing a nonlinear coupling model between the shear dilation angle and the shear stress, normal stress and joint parameters, and obtaining the shear dilation angle; establishing a volume strain rate discrimination formula; inverting the initial stress tensor field; reconstructing the irregular tunnel boundary; constructing a risk grade discrimination model and outputting the risk grade; matching the support scheme such as support stiffness, anchor rod parameters and spray layer thickness according to the risk grade; establishing a model to predict the risk trend; generating support adjustment suggestions; collecting monitoring data to dynamically correct the model parameters; and integrating all modules in the deployment system. The present application introduces the coupling relationship between the shear dilation angle and the shear strength, establishes a coupled constitutive discrimination model, and constructs a risk grading system and support correction strategy associated with support response, thereby realizing active early warning and dynamic adjustment of support stiffness in high-risk sections.

The application discloses a noise simulation prediction method of a centrifugal blower, comprising the following steps: establishing a parameterized three-dimensional model and performing high-precision transient CFD simulation to obtain an aerodynamic noise source; simultaneously, a multi-body dynamics model is established to calculate a structure vibration sound source. Then, the two types of sound sources are loaded into an acoustic finite element model applying an automatic matching layer technology to perform aerodynamic-structure-acoustic coupling simulation and predict a comprehensive noise field; noise testing is performed through a prototype to calibrate simulation model parameters and improve prediction confidence; subsequently, the calibrated model and an automatic process are integrated to construct a rapid iteration simulation prediction system; finally, parameter sensitivity analysis and multi-objective optimization are performed by using the system to identify key parameters with the greatest influence on noise and performance, so that a centrifugal blower with low noise and high efficiency is designed, and the research and development cycle is significantly shortened and product performance is improved.