16 results about "Critical location" patented technology

The invention belongs to the technical field of bridge engineering, and particularly relates to an analysis method for intelligently sensing a hanging basket of a corrugated steel web box girder bridge, a terminal and a storage medium, and the method comprises the steps: obtaining deformation data of a plurality of measurement points installed on the hanging basket of the corrugated steel web box girder bridge in an actual asynchronous method construction process; establishing an initial finite element model based on the geometric information of the hanging basket structure, and setting an elastic constraint condition at each support position of the initial finite element model; according to the invention, the static level gauge, the inclinometer and the strain gauge are arranged at the key positions of the hanging basket to construct a multi-source sensing monitoring network, so that the cooperative sensing of the vertical displacement, the inclination attitude and the structural strain is realized, and the comprehensiveness and accuracy of the state sensing in the construction process are effectively improved. Secondly, a vertical spring unit is introduced into the finite element model to serve as elastic constraint, the vertical compression deformation behavior of the corrugated steel web under the load effect is truly simulated, and the physical authenticity of boundary conditions is remarkably improved.

This invention provides a method and apparatus for detecting lateral movement behavior in encrypted traffic, relating to the field of network security technology. The method includes: first, using an eBPF probe mounted at a critical location in the network protocol stack to capture network traffic data about to be encrypted; second, filtering communication traffic related to lateral movement attacks and matching the relevant communication traffic against predefined lateral movement rules. If a match is found between the traffic and the lateral movement attack rules, it is determined that the target host exhibits lateral movement behavior. Otherwise, a dynamically adjusted behavior model is used to further analyze traffic anomalies, and a security alert is triggered when suspicious behavior is detected. This invention can utilize eBPF combined with known attack characteristics and a behavior analysis model to identify encrypted lateral movement attack behavior, improving the accuracy of identification.

This invention relates to the field of landslide control technology, and discloses a real-time landslide monitoring method and system based on multi-sensor fusion and intelligent control. The method includes placing at least one sensor inside the metal reinforcement structure and at key locations on the landslide body to monitor landslide data in real time; acquiring real-time water composition imaging data of the slope under rainfall conditions; deriving rainfall volume from the landslide water composition imaging data; automatically adjusting the valve openings of drainage and diversion channels based on the rainfall volume; calculating the stability parameter distribution from the rainfall volume; obtaining a safety factor based on the stability parameter distribution; obtaining the instability probability of the slope through multiple grid cell safety factors; and optimizing the structural design of the metal reinforcement piles and reinforcement frame through finite element analysis. This invention improves the accuracy of landslide detection and early warning capabilities through real-time monitoring, data analysis, and automatic control of multi-source data.

The invention discloses a reasonable blasting lumpiness determination method based on numerical calculation, and relates to the technical field of strip mine blasting engineering.The method comprises the steps that after existing blasting design parameters and basic rock mechanical parameters are comprehensively obtained, a step model of a blasting area is constructed by applying Hypermesh three-dimensional modeling software; carrying out grid division and other necessary preprocessing operations on the built model; performing simulation calculation on the output K file through LS-DYNA finite element numerical simulation software, checking detailed simulation results by means of LS-Prepost software, setting monitoring points at key positions where large rocks are easy to generate in the blasting process, and judging whether the rocks are damaged or not according to a VonMises stress failure criterion. The method effectively solves the problems of low precision, high cost, low efficiency and the like in the existing blasting lumpiness determination method, remarkably improves the accuracy and efficiency of blasting lumpiness determination, and provides a solid scientific basis for blasting design work.

The invention discloses an underground infrastructure wireless monitoring sensing equipment laying method, and belongs to the technical field of underground infrastructure wireless monitoring. The method comprises the following steps: firstly, acquiring spatial distribution of a propagation loss estimation value of a target area, and setting a maximum allowable attenuation threshold, a link budget margin and a maximum relay hop count; dividing into I-level, II-level and III-level regions; a layout strategy is formulated in a grading manner based on a multi-objective optimization principle, monitoring point positions are directly arranged in a level-I region according to an optimization interval, a level-II region is arranged in a differentiated manner in a general position and a key position, and a level-III region adopts a progressive convergence strategy to iteratively determine a relay position and a distance of each hop; finally, a layout scheme containing parameters such as sensor node spacing and relay positions is output, and the transmitting power and / or the working frequency band can be dynamically adjusted by actually measuring the link quality. Through hierarchical layout and dynamic optimization, connectivity, reliability and energy efficiency of an underground wireless monitoring network are improved, and end-to-end time delay is reduced.

This invention belongs to the field of power technology and relates to a method for verifying and optimizing the external insulation design of ultra-high voltage bushings under complex environments. The method includes: acquiring parameters; constructing a finite element model; simulating the electric field under normal operating conditions; determining key locations; extracting the peak electric field intensity at key locations under three complex operating conditions; and judgment and optimization. This invention accurately simulates real operating environments such as high humidity and contamination by constructing simulation models for three typical complex operating conditions: discontinuous water film, a wet contamination layer containing a dry strip, and a locally wet contamination layer. It effectively characterizes the abrupt changes in the dielectric properties of the dielectric material under complex environments and the resulting solid-liquid-gas three-phase interface effect. Simultaneously, by comparing the peak electric field intensity under complex operating conditions with the preset critical discharge electric field intensity, it scientifically assesses the deterioration impact of complex environments on high-risk areas, accurately determines whether the original design meets the insulation safety requirements under complex operating conditions, and optimizes designs with potential safety hazards.

The invention provides a method for evaluating the cooling effect of a cooling flow channel of a PET bottle preform mold, and the method comprises the steps: embedding an ultrasonic thickness measurement sensor array at a key position of the cooling flow channel, obtaining accurate wall thickness and surface roughness data through the combination of signal filtering and wavelet denoising, and achieving the reconstruction of micro-scale geometrical morphology based on a physical information neural network; according to the method, the thermal-mechanical coupling finite element model is dynamically corrected, thermal stress distribution and risk evolution are predicted through the reduced-order model and the long-short-term memory network, finally, a structured thermal stress evaluation report is output, real-time early warning of the mold failure risk is achieved, and the accuracy and prediction capacity of runner wear detection are improved.

The invention provides an explosive-proof equipment safety performance detection method based on finite element simulation assistance, and belongs to the field of explosive-proof equipment detection. According to the technical scheme, a corresponding geometric model is established by measuring relevant parameters of the explosion-proof equipment, the maximum dependent variable of a key position is obtained by solving the geometric model, then real-time detection is carried out by arranging a stress-strain monitoring device, and finally the safety performance of the explosion-proof equipment is evaluated. The method has the beneficial effects that the safety performance evaluation of the explosion-proof equipment can be realized, and the to-be-measured structure is not required to be damaged for measurement; the safety performance measurement and evaluation of the explosion-proof housing can be realized only by using the testing device comprising the strain gauges; the measurement precision is high, the model operation speed is high, and the accuracy of a measurement result is effectively improved.

The invention provides a thermal stress fatigue intelligent monitoring method and system based on a Green function method, and relates to the technical field of nuclear power equipment or pipeline safety research. Firstly, a Green function of a key position is obtained through a finite element model, and a thermal stress rapid calculation model is established based on the Green function; and generating sample databases in batches by using the rapid calculation model to train the thermal stress prediction agent model. In the online monitoring stage, the collected real-time operation data is subjected to preprocessing and transient recognition and input into the thermal stress prediction agent model, the thermal stress time history is rapidly predicted, and finally fatigue life evaluation and early warning are conducted in combination with mechanical stress. According to the method, a physical mechanism and a data driving technology are fused, the limitation that traditional finite element calculation is low in efficiency and depends on a conservative design transient state is overcome, real-time and accurate online monitoring of thermal stress and residual life of nuclear power plant equipment or pipelines is achieved, and the economy and safety of aging management are remarkably improved.

The present application relates to the field of building simulation, and provides a large frame truss hoisting simulation method and system, acquires a three-dimensional simulation model of the truss, imports it into finite element analysis software, performs mesh division and assembly for the three-dimensional simulation model of the truss, obtains a finite element model of the truss, performs stress solving for the finite element model of the truss, obtains a solving result, and identifies a hidden force area in the finite element model of the truss according to the solving result and marks it as a hoisting reinforcement point. The method uses finite element simulation analysis technology, dynamically simulates complex stress changes in the hoisting process, accurately locks the key positions that need to be reinforced, identifies the hoisting reinforcement point based on the simulation result, uses the simulation model to identify the weak points of the structure that are easily ignored in traditional analysis, and provides reliable technical support for the safe construction and cost control of large projects.

The present disclosure relates to a welding deformation control method and device, a box body, a washing and sweeping vehicle and a storage medium. The welding deformation control method comprises: establishing a finite element model of a box body component; based on the finite element model, performing welding deformation prediction and extracting deformation data of a key position of the box body component; in the case that the deformation data does not meet the design requirements of the box body component, obtaining influencing factors of the welding deformation; determining the sensitivity of each influencing factor to the deformation of the key position, wherein the sensitivity is used to quantify the deformation control effect of each influencing factor; and determining a target deformation control scheme according to the sensitivity of each influencing factor, wherein the target deformation control scheme comprises at least one influencing factor. The present disclosure can combine advanced finite element simulation technology and multi-objective decision-making method to realize comprehensive quantitative evaluation and priority ranking of various influencing factors in the welding process.

This invention belongs to the field of aero-engine design technology, and provides an in-situ sampling simulation component for fatigue life of multiple critical locations under the same stress on an aero-engine rotor disk, along with its design method. The simulation component is cut in situ from the rotor disk component, centered on the fatigue-critical location. Stress control structures are fabricated in non-critical locations, including two radial stress gradient adjustment grooves and two thickness-direction principal stress gradient adjustment grooves. These are used to adjust the first principal stress gradient in the crack depth and length directions, respectively, to ensure consistency with the actual service condition of the rotor disk and to guarantee that the crack initiation location matches the failure mode. The fatigue-critical location retains its original material state without secondary processing. Loading structures are located on both sides of the loading section, supporting hole loading or clamping loading. This simulation component can be used for high-fidelity low-cycle fatigue testing, enabling accurate assessment of the fatigue life dispersion of multiple fatigue-critical locations with the same or similar peak stress levels on an aero-engine rotor disk.

The application discloses an aircraft key part damage prediction method, system, device, medium and product, relates to the field of aircraft life prediction, and the method comprises the steps of: generating a plurality of sample double-channel stress histories randomly for an aircraft key part; calculating a sample damage value history corresponding to each sample double-channel stress history by adopting a multi-axial fatigue calculation method based on a critical plane method according to material performance parameters; training a deep learning network model based on a time domain convolution network by taking the sample double-channel stress history as input and taking the sample damage value history as a label to obtain a fatigue damage prediction model; obtaining a measured double-channel stress history of the aircraft key part in a service process; inputting the measured double-channel stress history into the fatigue damage prediction model to obtain a corresponding damage value history, and realizing damage prediction of the aircraft key part. The application can improve damage value calculation efficiency, thereby improving aircraft residual life prediction efficiency.

The invention provides a concrete shrinkage deformation reverse modeling compensation method, and belongs to the technical field of wind tunnel construction, and the method comprises the steps: building a pouring unit adjacent relation topological graph, optimizing a pouring time sequence through a graph coloring algorithm, and building a heat-humidity-force multi-physics field coupling finite element model; kriging interpolation is adopted to reconstruct complete temperature field distribution and extract a temperature deviation field, Kalman filtering inversion is used to correct hydration heat source parameters, a moving boundary identification algorithm is used to update dynamic boundary conditions, an incremental iteration algorithm is used to solve coupling response, and a Green function stress response matrix is used to quickly calculate stress field distribution. When the stress value of the key position exceeds the threshold value, reverse compensation calculation is started to generate a template adjustment instruction, actually measured data is fed back to the model to form closed-loop iteration, and the technical problem of wind tunnel structure construction deformation control failure caused by insufficient concrete shrinkage deformation prediction precision is solved.

Described is a sensor that is used to determine the location of an object with additional features that create human-recognizable feedback that identifies an individual object, solving the problem of needing a specialized device to perform the identity step. The location data is sent to Edge or Cloud devices that contain the raw location data. This data has location information that is used to automatically update an Enterprise Manufacturing System (EMS) or other system critical location. This invention integrates multiple location technologies to overcome the limitations of a single method. In addition to updating business systems (EMS), the cloud devices display location data in a multimodal (maps & digital twin) system, allowing operators to visualize and track the movement and location of objects. The combination of coordinated 2D mapping and 3D digital twin representations creates a superior understanding of an object's location and orientation with respect to other objects in its vicinity leading to exact identities within the workflow.

The application discloses a reasonable blasting block size determination method based on numerical calculation and relates to the technical field of open-pit mine blasting engineering. After overall acquisition of existing blasting design parameters and basic rock mechanics parameters, a step model of a blasting area is constructed by using Hypermesh three-dimensional modeling software, and necessary pretreatment operations such as mesh division are performed on the constructed model. Simulation calculation is performed on the output K file by using LS-DYNA finite element numerical simulation software, and detailed simulation results are viewed by means of LS-Prepost software. Monitoring points are set at key positions where large rocks are prone to be produced in the blasting process, and whether the rock is damaged is judged according to a Von Mises stress failure criterion. The method effectively solves the problems of low precision, high cost and low efficiency in the existing blasting block size determination method, significantly improves the accuracy and efficiency of the blasting block size determination, and provides a solid scientific basis for blasting design work.