17 results about "Failure index" patented technology

The invention relates to the technical field of engineering construction progress intelligent control, in particular to an engineering construction progress intelligent control method and system based on digital twinning, and the method comprises the steps: obtaining a preset plan logic relation set; acquiring a real-time process state set of the construction site; determining a plan failure index through real-time logic deviation calculation; in response to the plan failure index being greater than a preset failure determination threshold, determining that the plan fails and switching to a logic emergence mode; in response to the plan failure index being less than or equal to the failure determination threshold, maintaining the plan driving mode; deducing and generating an emergence logic set through emergence logic confidence calculation; determining a failure logic set; reconstructing to generate a hybrid logic model; the prediction completion time is deduced again; outputting a decision support signal; according to the method, the defect that a traditional system cannot judge the failure is overcome, the prediction accuracy is improved, and invalid warning out of reality is avoided.

The invention relates to the technical field of online monitoring, in particular to a concrete formwork stress monitoring method and system based on an intelligent sensor, and the method specifically comprises the steps: collecting environment data of a concrete pouring site, building a concrete environment coupling dynamic model, and outputting a formwork side pressure correction value; collecting working condition data of the template, and importing the working condition data of the template into the random vibration response coupling model to generate a space-time stress threat cloud picture borne by the template in real time; a hydration heat temperature field in the concrete pouring process is monitored in real time, and chemical shrinkage strain generated in the concrete pouring process is obtained; and obtaining a template comprehensive failure index according to the stress threat and the chemical shrinkage strain in the space-time stress threat cloud picture, calculating a time-varying failure probability, and triggering graded early warning through the template comprehensive failure index and the time-varying failure probability. According to the invention, the problem of lagging or misjudgment of failure early warning of the template in the prior art is solved.

The application provides a three-dimensional braided composite coupling design method and system based on cross-scale analysis, and belongs to the technical field of electric digital data processing. The application establishes a representative volume element model with a specific braiding angle and fiber volume fraction for different spatial positions of the coupling; through finite element analysis and volume averaging method, the macroscopic equivalent elastic modulus and strength of each position are obtained; then a macroscopic finite element model of the coupling is established, and the equivalent performance parameters are given to analyze the failure index and natural frequency of the coupling under the design load; taking the minimization of the mass as the target, and taking the failure index and natural frequency as the constraints, an optimization model is constructed, and the braiding angle, volume fraction and structure size are iteratively adjusted through a heuristic algorithm to realize the lightweight and performance collaborative optimization of the coupling. The application solves the design problems caused by the multiple parameters and strong multi-scale coupling of the three-dimensional braided coupling, and can efficiently and automatically obtain an optimized design scheme meeting the requirements of complex working conditions.

This invention provides a method and system for evaluating the failure of flexible composite pipe structures in complex coastal environments, relating to the field of flexible composite pipe failure evaluation technology. The method includes the following steps: S1, creating a model and parameters based on pipe-soil coupling; S2, calculating coastal environmental load parameters; S3, creating a mechanical model of the flexible composite pipe and performing three-dimensional numerical calculations to extract the deformation and stress of the flexible composite pipe; S4, designing multi-parameter combination schemes and analyzing the failure influence law; S5, creating a failure index evaluation model. The system includes a pipe-soil coupling calculation module, a coastal environmental load calculation module, a mechanical calculation and analysis module, a failure factor influence module, and a failure index evaluation module. The beneficial effects of this invention are: considering the influence of multiple parameters and environmental factors, the failure evaluation results are close to reality, and the accuracy and analysis efficiency are high.

This application discloses a method and related apparatus for predicting leakage risk of bolted connection structures, relating to the field of engineering manufacturing technology. The method includes simulating multiple axle operating conditions based on a pre-constructed numerical simulation model of the bolted connection structure to determine the ultimate interface displacement parameters of the large-area bolted connection interface. The ultimate interface displacement parameters include ultimate slip and / or ultimate opening. The bolted connection structure is the large-area bolted connection structure of the axle to be evaluated. The sealant failure index of the target sealant for the bolted connection structure is determined, including critical slip and / or critical opening. Based on the ultimate interface displacement parameters and the sealant failure index, the sealant performance of the target sealant is evaluated, and the leakage risk prediction result of the bolted connection structure is obtained. This scheme quantitatively assesses whether the sealant undergoes shear or tensile failure under specific operating conditions by comparing the ultimate displacement parameters and the sealant failure index, thereby achieving a reliable and objective judgment of sealing performance.

This invention provides a blade layering post-processing method based on ABAQUS. The method defines post-processing parameters according to preset conditions, extracts initial data from the model in ABAQUS software, further calculates the failure index, and simplifies the extracted data significantly based on classical laminate theory without losing accuracy. Finally, it classifies and outputs failure index reports based on the relationships between layers, materials, elements, strain, and nodal coordinates, and allows for the free selection of three levels: global, component, and layer, to plot failure index cloud maps. This method significantly reduces the time for post-processing extraction, calculation, and output, lowers the difficulty of classification management and iterative adjustments, shortens the development cycle, and provides more room for cost reduction.

The invention provides a three-dimensional braided composite coupling design method and system based on cross-scale analysis, and belongs to the technical field of electric digital data processing. According to the method, representative volume element models with specific weaving angles and fiber volume fractions are established according to different spatial positions of the coupler; the macroscopic equivalent elastic modulus and strength of each position are obtained through finite element analysis and a volume averaging method; establishing a coupler macroscopic finite element model, endowing the model with equivalent performance parameters, and analyzing a failure index and an inherent frequency of the model under a design load; and by taking mass minimization as a target and the failure index and the inherent frequency as constraints, constructing an optimization model, and iteratively adjusting a weaving angle, a volume fraction and a structural size through a heuristic algorithm, thereby realizing light weight and performance collaborative optimization of the coupler. According to the method, the design problem caused by multiple parameter freedom degrees and high multi-scale coupling performance of the three-dimensional braided coupling is solved, and an optimal design scheme meeting the requirements of complex working conditions can be efficiently and automatically obtained.

The invention relates to the technical field of static random access memories, and provides a yield evaluation method and electronic equipment for high-dimensional multi-failure domains of an SRAM (Static Random Access Memory), and the method comprises the following steps: obtaining failure index parameters of the SRAM, which at least comprise a read access failure parameter, a read destruction failure parameter, a write failure parameter and a hold state failure parameter; performing Monte Carlo processing on the failure index parameters twice to respectively obtain sample point data and evaluation point data; training a preset initial model based on the sample point data to obtain a multi-classification logistic regression model, training adopting a high-dimensional space and a multi-failure domain, the high-dimensional space being determined by the type of the failure index parameter and the sample point data, and the failure domain being determined by dividing high-dimensional space data points based on the maximum radius and the minimum density of a region by a spatial clustering algorithm; and inputting evaluation point data into the model, and determining a yield evaluation result. The problem that high efficiency and high accuracy cannot be considered at the same time when yield evaluation is carried out on the SRAM in the prior art is solved.

A reliability analysis method of phase selection based on phase current difference sudden variable considering the penetration of new energy and fault ride-through behavior is proposed, including the following steps: based on the phase current difference sudden variable selection criterion, the phase selection failure index based on the amplitude ratio of phase current difference sudden variable is constructed; the fault equivalent impedance of different types of grid-connected inverters is determined according to the classification of new energy types; the equivalent impedance model of new energy station coupled with multiple types of energy is established; the phase selection failure index is converted into the relationship of positive and negative sequence current distribution coefficients, the equivalent impedance of new energy station is brought into sequence network analysis, the ratio of positive and negative sequence current distribution coefficients is calculated, and the relationship between the ratio and the critical failure condition is compared to complete the reliability analysis of phase selection method. The method comprehensively considers the influencing factors, has clear physical meaning, can effectively and accurately judge the risk of phase selection failure due to high proportion of new energy access to the line, and can provide certain guidance for the improvement of phase selection method.

The invention discloses a sealing performance simulation optimization method and system for cargo compartment door body design, and relates to the technical field of sealing simulation, and the method comprises the steps: solving macroscopic displacement based on a three-dimensional model and a load condition, calculating microcosmic displacement in combination with a decoupling transfer matrix, and solving a dynamic sealing failure index. Whether the index exceeds a threshold value or not is judged; if yes, the instantaneous total flow is calculated, and a water guide redundancy index is generated; if not, judging that the sealing is effective, and judging that the redundancy of the water guide system is effective; synthesizing the sealing failure index and the water guide redundancy index, and combining the weight to generate a total synergy index; if the collaboration index does not reach the preset target, iterating the tuning parameters until the target is met; according to the method, a rigid-flexible decoupling simulation model and a hierarchical closed-loop optimization strategy are provided, bearing, sealing and water guiding performance are evaluated cooperatively, manual trial and error are replaced, and the design efficiency and economical efficiency are remarkably improved.

The invention discloses a material structure integrated long-life asphalt pavement design method based on performance interval inversion, and belongs to the technical field of road engineering. The method comprises the following steps: (1) project input and structure primary selection; (2) analyzing structure response and calculating three types of failure indexes; (3) constructing three types of failure utilization rate models; (4) constructing a unified performance boundary function; (5) carrying out material performance interval inversion; (6) screening a material performance database; (7) establishing a whole life cycle cost model; and (8) material-structure joint optimization design. According to the method, structural stress and target life are taken as preconditions, a material performance interval required by each structural layer is reversely solved, multi-constraint optimization is carried out on the basis, and system coupling design of the material and the structure is realized.

This invention discloses a real-time assessment method and system for slope collapse based on state consistency failure, belonging to the field of disaster prevention, mitigation, and safety assessment technology. It addresses the lack of effective characterization in existing technologies regarding whether various state elements within a slope still maintain reasonable coordination and consistency. When the slope is in a stable operating phase, this invention establishes, verifies, and fixes a state consistency relationship model to obtain a stable-period state consistency relationship model, forming a stable-period benchmark. During slope operation, based on the stable-period state consistency relationship model, it calculates the coordination deviation and state consistency failure index among state variables obtained from real-time multi-source monitoring data. Combining the time dimension, it analyzes the continuous changes of the state consistency failure index, extracting the trend, persistence, and stage characteristics of the failure. The above results are used for real-time slope classification and risk assessment. This invention is used for real-time slope collapse assessment.

The invention relates to the technical field of electric power, and discloses a commutation detection method, a storage medium and equipment, and the method comprises the steps: achieving the dynamic dual-feature extraction and quantitative characterization of an exit valve failure index and a conduction valve stress index in a commutation process through the collaborative analysis of dual-valve current signals, and obtaining a commutation result through the geometric constraint characteristics of a preset ellipse criterion equation; according to the method, commutation state judgment is converted into judgment of the geometrical relationship between the criterion value and the threshold boundary, the reliability and robustness of commutation state judgment are effectively improved while the detection rapidity is kept, seamless monitoring and accurate evaluation of the commutation process are achieved, and the detection accuracy is improved. The technical problems of detection delay, false alarm and missing alarm and insufficient anti-interference capability in the prior art are solved, and key technical support is provided for stable operation of a high-voltage direct-current power transmission system.

This invention discloses a simulation optimization method and system for the sealing performance of cargo compartment doors, relating to the field of sealing simulation technology. The method includes: solving for macroscopic displacement based on a three-dimensional model and load conditions, and calculating microscopic displacement using a decoupled transfer matrix to determine the dynamic sealing failure index. The method then determines whether the index exceeds a threshold: if so, it calculates the instantaneous total flow rate and generates a water-conducting redundancy index; if not, it determines that the seal is effective and the water-conducting system is redundantly effective. The sealing failure index and the water-conducting redundancy index are combined with weights to generate a total synergistic index. If the synergistic index does not reach a preset target, the parameters are iteratively adjusted until the target is met. This invention provides a rigid-flexible decoupled simulation model and a hierarchical closed-loop optimization strategy to collaboratively evaluate load-bearing, sealing, and water-conducting performance, replacing manual trial and error and significantly improving design efficiency and economy.

Embodiments of the present application provide a kind of based on distributed cluster partition method.The method comprises: based on the initial sampling period of current round, the operating parameter of each node in power system is collected, and initial operating parameter is obtained;According to initial operating parameter, determine failure index;Wherein, failure index represents the time efficiency adaptation degree of cluster partition according to initial operating parameter;If it is determined that the period adjustment condition is satisfied according to failure index, then determine the actual sampling period according to failure index and initial sampling period;Based on actual sampling period, the actual operating parameter of each node in current round is collected, and each node is divided into multiple distributed clusters according to the actual operating parameter of current round.The method is used to improve the timeliness and accuracy of distributed cluster partition, to improve the stability and resource utilization efficiency of power system.

This invention relates to the field of model optimization technology and discloses a method for accurate calculation of steam extraction heat from cogeneration heating based on dynamic operating condition identification. The method includes: constructing a time-delay stacked operating state matrix of a multivariable operating condition sequence of the unit and extracting the principal delay mode components; fitting a local dynamic evolution matrix in the mode space to construct an ideal chain-like evolution topology benchmark, and calculating the internal domain topological structure rupture deviation relative to the benchmark; calculating the correlation discreteness and transient non-normal amplification intensity based on the energy distribution and exchange subnorm of the deviation, respectively, and generating a dynamic structural stability failure index; extracting the secondary diagonal elements of the evolution matrix to construct a geometric curvature code, and inputting the index into a recurrent neural network; constructing an optimization objective function that includes dynamic attention weighting and input disturbance sensitivity constraints, and using the index to continuously adjust the weights and constraint strengths to train the model.

The application relates to an LED module online monitoring and life prediction method in the technical field of intelligent manufacturing, which comprises the following steps: according to obtained frequency domain impedance curve feature vectors, adopting principal component analysis to extract dominant components, and determining a low-dimensional feature set reflecting the degradation of multiple components; obtaining associated phosphor degradation sub-features from a chip aging type failure mode result obtained through judgment, adopting a clustering analysis method to group the sub-features to determine the phosphor aging degree; according to the determined phosphor aging degree, fusing solder joint crack related impedance phase offset data to obtain a comprehensive multiple component failure index; if the comprehensive multiple component failure index shows a deviation trend, then analyzing the index sequence through a time series prediction model to obtain an estimated value of the remaining life of the LED module; generating health state report data from the obtained estimated value of the remaining life, and judging the overall reliability level to support online monitoring decisions.