121 results about "Stability assessment" patented technology

This invention provides a method for hypertension risk assessment, relating to the field of epigenetic detection technology. It includes: performing event alignment and residual modeling on a qualified signal set to establish a base probability at the locus level and forming baseline features through neighborhood consistency screening; constructing a tunneling sensitization model and contextual attention, fusing discriminative and generative evidence to obtain enhanced features; quantifying IGF2BP3 and aligning and fusing it with the enhanced features; constructing an IGF2BP3-mediated metabolic network based on this, performing time-series modeling and stability assessment, and extracting final-state features; fusing the final-state risk vector with multi-gene scores to complete adaptive grading and compliant report generation. This method is robust, interpretable, and easy to deploy.

The application relates to the technical field of electrical equipment evaluation, in particular to a multi-dimensional electrical equipment stability evaluation method and device for new energy power grid connection, which comprises the following steps: based on a multi-dimensional evaluation index system, collecting multi-dimensional index data of a target electrical equipment, performing feature enhancement processing, and generating processed enhanced features; based on a grid connection power fluctuation coefficient and an equipment operation stage coefficient of the target electrical equipment, adjusting the weight proportion of each dimension and corresponding indexes in the multi-dimensional index data to obtain dynamic weights; inputting the processed enhanced features and the dynamic weights into an evaluation model combining fuzzy comprehensive evaluation and Markov chain prediction, performing stability evaluation on the target electrical equipment for new energy power grid connection, and outputting a stability evaluation result of the target electrical equipment. Therefore, the problems that in the related art, prospective decision support cannot be provided for preventive maintenance and grid connection scheduling, and it is difficult to guarantee the safe and stable operation of the power grid under high-proportion new energy access are solved.

The application provides a kind of sports non-material cultural heritage protection policy intervention effect evaluation method, comprising: collecting multi-source heterogeneous data, extracting structured policy-behavior-response elements, constructing dynamic policy knowledge graph and realizing the time series modeling of causal network;Adopting time series contrast learning encoder and twin network optimization policy variable embedding, realizing accurate extraction of policy effect after mixed variable elimination;Integrating do-calculus and Monte Carlo tree search for counterfactual causal reasoning, forming multi-path effect contribution and stability evaluation;Through Shapley value decomposition and visual report, the net causal effect of each policy tool is quantified and the effectiveness is determined, the application can realize multi-dimensional causal effect accurate identification for sports non-heritage policy intervention process, improve the scientificity and timeliness of attribution analysis.

This application relates to the field of power system stability control technology, specifically to a method and system for online stability assessment and control of hybrid systems based on an improved short-circuit ratio. The method includes: constructing an equivalent model of the integrated / grid-connected hybrid system; calculating the improved short-circuit ratio of multiple renewable energy power plants based on the voltage source characteristics of grid-connected equipment to quantify the grid strength at each grid connection point; constructing a characteristic polynomial based on the impedance matrix; and using the circular loop theorem to quickly search for the dominant eigenvalues, avoiding high-dimensional calculations, to obtain the critical short-circuit ratio. If the real-time short-circuit ratio is lower than the critical value, an instability risk is determined, triggering a control strategy that increases the capacity of grid-connected equipment or adjusts the grid connection point. This method, through the combination of the improved short-circuit ratio and the circular loop theorem, achieves online quantitative assessment and closed-loop control of the small-disturbance stability of integrated / grid-connected hybrid systems.

This invention discloses a method, medium, and equipment for determining creep parameters of fractured rock masses based on the equivalent medium theory. The method includes: constructing a random fracture network model of fractured rock masses containing multiple sets of structural planes, and generating numerical models of fractured rock masses of different sizes; embedding the viscoelastic-plastic constitutive model of the structural planes into discrete element numerical calculation software; applying constant loads to the numerical models of fractured rock masses of different sizes, conducting numerical creep tests on the fractured rock masses, and obtaining the creep deformation time history curves of each numerical model; performing parameter inversion on the creep curves of fractured rock mass models of different sizes to determine the size range of the CREV (Crew Characterization Equivalent Value) of the fractured rock mass creep characterization unit; obtaining the equivalent viscoelastic creep parameters and equivalent viscoplastic creep parameters of the fractured rock mass; and applying the obtained parameters to long-term slope deformation analysis. This method provides a more reliable theoretical basis for the long-term stability assessment and safety prediction of hydropower, mining, and tunnel projects.

The application discloses a kind of new energy power system small disturbance stability evaluation methods based on geometric separation.Method includes: obtaining the geometric characteristics of the equivalent admittance matrix of the admittance matrix transfer function of the network side and the converter side of new energy power system, and then determining whether new energy power system and each converter meet closed loop stability condition by geometric separation method, if meet, then evaluate new energy power system stability.The method of the application supports the stability verification of massive heterogeneous power electronic equipment in a decentralized and modular manner, effectively avoiding the computational complexity caused by the growth of system dimension;At the same time, the proposed geometric separation condition provides a clear and operable guidance for the external characteristic specification of grid-connected equipment and controller design, which helps to achieve "plug and play" and high proportion of safe access of new energy power system.

The application discloses a stability evaluation method suitable for a multiple-input multiple-output system and belongs to the technical field of stability control, which obtains the amplitude margin and the phase margin of the multiple-input multiple-output system by calculating the gain solution of the system at different frequencies when the system is critically stable. The application comprises the following steps: calculating the maximum range of the amplitude margin corresponding frequency according to the spectral radius of the transfer function of the multiple-input multiple-output system; calculating whether the amplitude gain solution exists at different frequencies within the frequency range, and if the amplitude gain solution exists, calculating the corresponding amplitude margin; drawing all the amplitude gains and solving the intersection points with the gain curve to obtain the amplitude margin; calculating the maximum range of the phase margin corresponding frequency according to the spectral radius of the transfer function of the multiple-input multiple-output system; calculating whether the phase gain solution exists at different frequencies within the frequency range, and if the phase gain solution exists, calculating the corresponding phase margin; and drawing all the phase gains and solving the intersection points with the phase gain curve to obtain the phase margin.

This invention relates to the fields of computational mechanics and rock engineering, and particularly to a numerical simulation method for end-anchored rock mass engineering based on DDDA (Digital Directed Amplification and Analysis). The method includes: constructing a circular element discontinuous deformation analysis numerical model according to actual engineering conditions; performing discontinuous deformation analysis numerical calculations; analyzing the calculation results of the unanchored model to preliminarily determine the anchoring scheme; performing discontinuous deformation analysis numerical calculations again; determining whether the model contains unstable blocks, adjusting the anchoring scheme, and repeating the aforementioned steps until the model stabilizes, thus completing the design of the rock mass engineering anchoring scheme. This invention establishes a numerical simulation method capable of accurately simulating the interaction between anchor bolts (anchor cables) and rock mass, and integrating anchoring scheme design, stability assessment, and dynamic parameter optimization functions. It achieves accurate prediction of the deformation and failure behavior of anchored rock mass and optimizes anchoring design, featuring high simulation accuracy and strong practicality.

The application provides an interface stability evaluation method and device, electronic equipment and a storage medium. The method obtains interface running data of a target interface in a preset period; interface index data of the target interface is counted according to a first period according to all the interface running data; the interface index data in a second period is clustered to obtain abnormal interface index data and an abnormal period point; a current abnormality ratio of the interface index data is determined according to the number of the abnormal period points and the number of the first period corresponding to the interface index data in the second period, and then a current stability score of the target interface is determined to evaluate the stability of the target interface. The running data generated in the interface running process is processed and analyzed, the visibility of the interface running condition is improved, the potential risks of the interface are found before the abnormality occurs, and when the method is applied to an application integration platform, the overall running stability of the platform and the business system carried by the platform can be improved.

This invention proposes an early warning system and method for the impact of ecological submerged breakwaters on nearshore seabed morphology under tsunami wave action. The system includes: a feature extraction module that collects water pressure data inside and outside the breakwater and establishes a high-energy potential difference time window; a potential energy analysis module that retrieves data within the high-energy potential difference time window and performs differential analysis of the vertical gradient to generate the permeability per unit volume of the seabed surface; an erosion analysis module that obtains the loss coefficient and corrects the static critical initiation shear stress to establish a time-evolving erosion resistance threshold sequence; a concealment identification module that identifies concealed scour zones; and a graded early warning module that quantifies and accumulates the surplus characteristics of shear strength in concealed scour zones using sediment transport rates to obtain morphological loss characteristics, performs stability assessment of the breakwater support structure, and triggers graded collapse early warning. This invention achieves the identification and dynamic early warning of concealed scour risks under low flow velocity backgrounds by quantifying soil weakening caused by seepage.

This invention relates to a method and system for online dynamic stability assessment of a substation control system, belonging to the field of substations. The method includes: collecting raw data from the substation control system and constructing a joint state vector set; performing local neighborhood analysis based on the joint state vector set to obtain the local covariance matrix and metric matrix corresponding to each state point; estimating the tangent space curvature based on the local covariance matrix to obtain the curvature value corresponding to each state point; simulating geodesic deviation based on the metric matrix to obtain the local geodesic deviation index; and performing dynamic stability assessment based on the curvature value and the local geodesic deviation index, with online rolling updates and early warnings. This invention is a dynamic stability assessment method that integrates system command and response information, possesses online assessment capabilities, and can provide early warnings of instability trends.

This application provides a modified Duncan-Chang model and its determination method that considers gradation and internal erosion. The determination method includes: S2, introducing a modified erosion degree; S3, constructing a shear-dominated linear elastic-non-correlated elastoplastic framework based on the traditional Duncan-Chang model, and explicitly setting key mechanical parameters as functions of , thus obtaining the modified Duncan-Chang model considering gradation and internal erosion. The modified Duncan-Chang model of this application, by introducing a modified erosion degree, solves the problem of traditional models neglecting gradation differences. Its prediction errors for the elastic stiffness and peak strength of eroded clay gravel are far superior to existing models, and it can be directly used for stability assessment of eroded clay gravel subgrade engineering, providing a theoretical basis for engineering reinforcement scheme formulation and reducing the risk of erosion disasters.

The application provides a repeated low voltage ride through risk assessment method and system based on a sliding mode theory analysis, and belongs to the technical field of low voltage ride through risk assessment. The application comprises the following steps: based on a grid-connected system model of a grid-following type converter with low voltage ride through control, eight-order unified state space expression is constructed in combination with a current inner loop, a phase-locked loop and a dynamic of an alternating current main circuit; a sliding mode surface function is constructed by using a difference between a grid-connected point voltage and a LVRT switching threshold value, and a direction derivative of a sub-state space vector field about the sliding mode surface function in a normal operation mode and a LVRT mode is used as a chatter criterion; and the evolution trend of the grid-connected point voltage near the low voltage ride through threshold value is judged according to the sign characteristic of the chatter criterion, so as to assess the risk of repeated low voltage ride through. The application can quantitatively reflect the influence of device side and grid side parameters on the repeated low voltage ride through of the system, and provides a novel and practical method for stability assessment and parameter optimization of a new energy grid-connected system.

The application discloses a multi-source data monitoring underground cavern stability evaluation method and system and a medium, relates to the related field of geotechnical engineering monitoring, and the method comprises the following steps: based on the geological survey parameters and engineering design parameters of the target underground cavern, the surrounding rock stability grade of the target underground cavern is output through a pre-trained surrounding rock stability classification model; multi-source time series monitoring data of the target underground cavern during the construction period is collected, a set of dynamic influence factors is extracted therefrom, and the set of dynamic influence factors is input into a pre-trained surrounding rock deformation prediction model to output surrounding rock deformation prediction values in a future period; the surrounding rock stability grade and the surrounding rock deformation prediction values are fused to perform stability evaluation, and decision feedback information for the current construction stage is generated according to the stability evaluation result. The technical problems that the existing underground cavern stability evaluation result is not accurate and unreliable are solved, and the technical effects of improving the accuracy and reliability of the underground cavern stability evaluation are achieved.

The present application relates to the technical field of material performance testing, and discloses a silica gel adsorbent testing method and system, the method comprising: placing a silica gel adsorbent sample in a test cavity and configuring a test environment, monitoring temperature change data and adsorption isotherm data of the test cavity during the adsorption process, and synchronously obtaining initial adsorption heat distribution and initial total pore volume of the sample, performing adsorption and desorption stress cycles on the sample, and monitoring the cycle post-adsorption heat distribution and cycle post-total pore volume of the sample under the adsorption and desorption stress cycle conditions in real time, performing adsorption heat difference calculation on the initial adsorption heat distribution and the cycle post-adsorption heat distribution, obtaining an adsorption heat change index of the sample, evaluating the pore volume retention rate of the cycle post-total pore volume relative to the initial total pore volume, and generating a stability evaluation parameter of the sample based on the adsorption heat change index and the pore volume retention rate. The present application effectively simulates the performance evolution process under actual working conditions, and significantly improves the accuracy, sensitivity and predictability of the test.

The application discloses a kind of high slope stability evaluation and early warning method based on multivariate monitoring data fusion, belong to slope engineering monitoring early warning technical field.For the problems of existing monitoring data source isolation, early warning lag and high false alarm rate, the method includes: real-time parallel acquisition of the multi-source asynchronous monitoring data of slope;Data are time-synchronized and spatially mapped to align, construct a unified spatiotemporal coordinate system under the fusion dataset, and extract the spatiotemporal feature vector;The feature vector is input into the fusion evaluation model, and a multi-dimensional fusion stability index is obtained;Based on the real-time sequence and change trend of the index, combined with the multi-level linkage trigger mechanism, dynamic release of graded warning signal;According to the new monitoring data and engineering response, the fusion evaluation model is periodically or triggered to update.The method realizes the deep fusion and dynamic evaluation of multi-source data, improves the early warning accuracy and timeliness, and can be widely applied to the safety monitoring and early warning of high slope construction period.

This invention relates to a stability optimization method for static random access memory (SRAM). It constructs a SRAM cell structure with separate read and write paths and establishes a basic stability model. Based on real-time monitoring of threshold deviations and extraction of environmental parameters according to the operating state, it calculates compensation parameters based on the stability state vector and performs adaptive adjustments. It also calculates the substrate compensation voltage and dynamically adjusts the read and write timing of the SRAM array based on the state vector. Based on the compensation parameters, it performs compensation adjustment and dynamic scheduling of the SRAM array, evaluates stability based on the execution results, and generates feedback information. Dynamic scheduling and conflict management implemented through a state machine ensure the orderly execution of read and write operations and data integrity. Combined with a feedback mechanism, it achieves closed-loop stability control, achieving a synergistic optimization effect that improves the stability and energy efficiency of SRAM cells under dynamic operating conditions, while also considering reliability and real-time performance.

The application provides a warehouse container appearance defect detection and stability analysis method and system based on AI vision and a medium. The method comprises the following steps: collecting static images and dynamic running images of a warehouse container under different illumination conditions to obtain an image set, preprocessing the image set, performing positioning analysis on the preprocessed images, and dividing the warehouse container into static targets and dynamic running targets; performing appearance defect detection on the static targets to obtain defect data; analyzing the dynamic running targets and the static targets, evaluating the stability of the dynamic running targets, and evaluating the stability of the static targets to obtain stability evaluation results; and transmitting the defect data and the stability evaluation results to a terminal in real time. Through the cooperative work of image acquisition, target detection, defect identification, and stability analysis, multiple key quality inspection tasks can be completed synchronously, and comprehensive and systematic monitoring of the safety state of the warehouse container is realized.

The application discloses a method for automatically searching and evaluating stability of key dangerous blocks in a hydraulic tunnel, which comprises the following steps: constructing a three-dimensional model of the tunnel and automatically identifying all blocks based on a spatial topology algorithm; calculating the safety factor of the blocks by using a rigid body limit equilibrium method, and determining the blocks below a threshold value as dangerous blocks; supporting the exposed excavation surface of the dangerous blocks, calculating the safety factor after supporting, and comparing the safety factor with the threshold value; if the safety factor after supporting is still below the threshold value, adjusting the number of supporting points and repeating the calculation until the requirement is met; and finally outputting the block number, supporting parameters and sliding mode. The method can automatically identify dangerous blocks and optimize the supporting scheme, ensure that the stability of the reinforced blocks meets the requirements, and improve the intelligent level of the tunnel supporting design.

This application relates to the field of mine exploration technology, and in particular to a method and system for comprehensive exploration of goaf areas using a UAV-ground robot collaborative approach. The method includes: acquiring a remote gypsum mine scanning information set; analyzing dust interference and water mist risk information within the goaf area based on the remote gypsum mine scanning information set to obtain an initial risk parameter set for the goaf; analyzing the dynamic coupling relationship between dust generated by the ground robot's movement and its obstruction interference to UAV detection, and water mist generated by the UAV's dust suppression operations and its slippery interference to the ground robot's passage, based on the initial risk parameter set, to obtain a dynamic cross-interference feature set; and generating a collaborative exploration strategy between the UAV and ground robot, aiming to avoid high-risk areas and maximize exploration efficiency, based on the dynamic cross-interference feature set, and outputting a comprehensive stability assessment report for the goaf. This method compensates for blind spots in single-device exploration, improving exploration efficiency and resource utilization.

The application provides a stable control method, system and equipment of a smart light environment system in a harmonic environment, the method comprising: collecting electrical signals in real time based on an electric energy quality monitoring unit deployed at a key power distribution node of the smart light environment system, and extracting harmonic characteristic parameters based on the electrical signals; constructing a harmonic-light environment system dynamic coupling model based on the harmonic characteristic parameters; performing stability evaluation using a frequency domain impedance analysis method based on the harmonic-light environment system dynamic coupling model and the harmonic characteristic parameters, and obtaining a stability evaluation result; performing multi-objective optimization solving using a hierarchical optimization strategy based on the stability evaluation result, the harmonic characteristic parameters and a multi-objective optimization algorithm, and obtaining an optimal control decision; sending the optimal control decision to actuators of each lighting loop in the smart light environment system, and performing control mode switching or sending a treatment instruction to an active filter in the smart light environment system according to the stability evaluation result.

The application discloses a specific molecular marker screening method for microbial tracing, comprising the following steps: step one, microbial genome characteristic analysis; step two, specific candidate gene screening; step three, homologous arm design and target fragment amplification; step four, recombination plasmid construction; step five, positive control system establishment; step six, specificity verification; step seven, sensitivity detection; step eight, stability evaluation; step nine, marker practicability verification; and step ten, standardization and shaping; the unique gene fragment of the target microorganism is screened through whole genome alignment, and multiple verifications such as specificity, sensitivity, stability and practicability are combined, so that the screened molecular marker has high specificity, can effectively distinguish the target microorganism from the non-target microorganism close to the target microorganism, and cross reaction is avoided.

The application discloses a kind of based on KAN's multiple pore rock-soil medium consolidation process analysis method and system, belong to the field of soil consolidation analysis.This method includes: obtaining the data including time, depth and each pore system pore water pressure in the consolidation process of multiple pore rock-soil medium, establishes data set and carries out pre-processing;KAN is trained to obtain the control equation describing the consolidation process of multiple pore rock-soil medium by inversion;PiKAN based on physical information is constructed, the control equation and the initial condition and boundary condition of consolidation process are used as physical constraint, and embedded in loss function;PiKAN is trained using the pre-processed data set, and the pore water pressure of each pore system of multiple pore rock-soil medium at different times and depths is solved.The KAN based on physics and data driving can quickly and effectively obtain the pore water pressure of multiple pore rock-soil medium with less test data, and provide technical support for related engineering stability evaluation.

This application discloses a method, device, terminal, and medium for assessing the synchronous stability of grid-connected wind power. The solution obtains the topology information of the grid-connected wind power combined transmission system and constructs an equivalent circuit. Then, combining the preset grid-connected wind power control logic and the principle of linear network superposition, it constructs an output active power relationship under different control conditions, including the coupling relationship between the output active power of the grid-connected wind power and the terminal voltage and output phase angle of the grid-connected wind power. Based on this output active power relationship, it generates the output phase angle characteristic curve of the grid-connected wind power and calculates the output phase angle acceleration area and the maximum deceleration area. Finally, based on the area comparison results, it determines the synchronous stability assessment result of the grid-connected wind power, thereby accurately assessing the synchronous stability of the grid-connected wind power in the grid-connected wind power combined transmission system, improving the reliability of the assessment results, and ensuring the safe and stable operation of the new energy transmission system.

This invention discloses an intelligent management method and system for geological data, relating to the field of slope geological data management technology. The invention locates the target work area and collects data from it to construct a location time series set. It then uses a simulation model and imports the location time series set into the model to construct a scenario simulation model of the target work area. The scenario simulation model is divided into local sub-regions, and based on the division results, slope geological stability assessment and analysis are performed on each sub-region to determine risk sub-regions. Based on these risk sub-regions, a risk integration area within the target work area is determined. The slope geological stability fluctuation data of the risk integration area is analyzed, and combined with historical slope geological data of the target work area, a comparative analysis is performed on the current target work area to determine the abnormal state of the slope geological data in the current target work area. This invention achieves in-depth mining and analysis of multi-volume slope geological data.

This application discloses an angle encoder detection method, device, and medium, relating to the field of precision measurement technology. The method includes: acquiring the measurement point configuration of the encoder under test, and calculating the test phase difference of the encoder under test based on the measurement point configuration to determine the static accuracy of the encoder under test; acquiring the test control parameters of the encoder under test, and collecting the position feedback value of the encoder under test during the test based on the test control parameters to obtain the first dynamic trajectory curve corresponding to the encoder under test; acquiring the second dynamic trajectory curve corresponding to a preset reference encoder, and calculating the phase difference between the first dynamic trajectory curve and the second dynamic trajectory curve to determine the error change trend of the encoder under test; matching the test control parameters with the error change trend based on the time mapping corresponding to the control parameters to determine the dynamic accuracy of the encoder under test; and performing a stability evaluation on the dynamic accuracy of the same type.

The application discloses a kind of robust stability evaluation methods of phase-locked loop main leading isomeric multivariable converter power system, solve the problem of difficult robust stability analysis caused by isomeric converter phase-locked loop parameter coupling, parameter optimization has no reference.For: first, obtain system parameters, based on second-order phase-locked loop step-down model to construct uncertainty separation model;Then, combined with value set theory, whether the value set contains origin is judged to determine the robust stability of the system;Then calculate the multivariable stability margin K m , determine the dominant unstable oscillation frequency ω c ;Then analyze the moving trend of the value set of parameter change, determine the influence direction of parameter on system strength, introduce negative damping line under instability state to assist analysis;Finally, develop differentiated parameter optimization strategy, iterative optimization until the system meets the stability margin requirement.The application can quantitatively evaluate the robustness of the system, reveal the non-uniform parameter adjustment rule, provide accurate basis for parameter setting, effectively avoid small signal instability, and improve the robust stability of isomeric multivariable converter power system.

This invention provides a method and device for monitoring roadbed moisture content based on the piezoresistive effect. By embedding a strain-sensitive sensor arranged in a spiral pattern within the wall of a drainage pipe, the method monitors the sensor's resistance change rate under vehicle vibration loads in real time. Combined with synchronously measured soil stress, and based on a pre-calibrated empirical model of moisture content-elastic modulus, the real-time volumetric moisture content of the roadbed soil is calculated. This invention solves the technical problem of traditional detection methods' difficulty in long-term, real-time monitoring of roadbed internal moisture content, achieving long-term, non-destructive monitoring of roadbed moisture content and providing an effective means for preventative road maintenance and stability assessment.

This invention discloses a method, apparatus, device, and readable storage medium for determining interface stability, applied in the field of artificial intelligence. The method includes: initiating a preset number of calls to the service interface to be evaluated based on a multi-round call strategy, obtaining the execution status and response data corresponding to each call; determining at least two interface stability indicators based on the execution status and response data; determining the output content under a successful call based on the execution status and response data, and determining at least two content stability indicators based on the output content; and determining a comprehensive stability parameter based on the parameter values ​​corresponding to the interface stability indicators and the parameter values ​​corresponding to the content stability indicators. This invention, by designing a multi-round call strategy, achieves batch and reproducible collection of stability data at the AI ​​service interface layer, solving the problem of passive collection, constructing a dual-dimensional stability evaluation system for the interface layer and content layer, realizing the integrated evaluation of both, and improving the accuracy of stability evaluation.