11 results about "Phase space" patented technology

The invention relates to the technical field of risk analysis, in particular to a water conservancy project risk assessment method based on big data, which comprises the following steps: acquiring deformation and water level signals and converting the signals into a sequence, generating an original monitoring sequence based on a timestamp, identifying a whole process span and intercepting and generating a periodic data set, generating a complete monitoring sequence by using interpolation filling, constructing a water level displacement closed curve, calculating a vector product difference value to obtain a geometric area, calculating an arithmetic mean value to generate a centroid coordinate, obtaining a dissipated energy increase coefficient and a structure permanent deformation cumulant, and generating an evaluation result based on threshold comparison. According to the method, the two-dimensional phase space model is established, the structure response is converted into the closed trajectory curve, the hysteresis loop area and centroid offset are calculated, energy dissipation and deformation accumulation of the structure under cyclic loading are quantitatively represented, abnormal plastic damage is effectively stripped, and early recognition of the potential irreversible damage risk of the structure is achieved.

This invention relates to the field of flow measurement and industrial process control technology, specifically to a gas ultrasonic flow meter and its measurement method; it includes a measurement pipe section, signal acquisition, phase space reconstruction, symplectic geometric analysis, and adaptive solution modules; the system acquires the original acoustic time-series signal and maps it into a high-dimensional state trajectory matrix; its core is to use symplectic geometric transformation to extract dynamic invariants such as the maximum Lyapunov exponent, determine the flow field distribution correction coefficient, and compensate the basic flow velocity to generate a standard flow rate; this invention transforms a complex inverse fluid mechanics problem into a geometric topology feature extraction problem, eliminating the need for massive model training, significantly reducing computational power consumption, and solving the computational deadlock problem.

The application proposes a hybrid time-scale based weakly nonlinear dynamic system equation discovery method. The method first constructs the dynamic system state variables and phase space trajectory according to the bridge wind-induced vibration response, and organizes the training data based on the phase space structure; then a dynamic symbolic network is established to learn the local dynamic law and overall evolution law of the system in the time recursion process; finally, combined with sparse constraints and parameter screening, the explicit control equation of the target dynamic system is obtained. The method can effectively combine the phase space structure information, multi-time scale characteristics and the explainable expression ability of the symbolic network, and improve the stability and explainability of the bridge wind-induced vibration dynamic equation identification.

This invention belongs to the field of intelligent status assessment technology for generator sets, and discloses a method and system for intelligent status assessment of natural gas generator sets. The method includes: acquiring multi-physics field operation data; reconstructing the phase space of the multi-physics field operation data based on different time scales to obtain a set of physically perceived state point clouds; performing complex filtering on the point clouds at each time scale, and conducting multi-scale topological evolution analysis of the filtered complex sequences; inputting the topological feature vectors into a topological random forest model for training, and performing joint inference to output the posterior distribution of fault modes; calculating a generator set health index, and combining the generator set health index with a dynamic early warning threshold to achieve the assessment of the operating status of the natural gas generator set. This invention can deeply explore the dynamic evolution laws of different physical processes such as combustion, mechanical, thermal, and degradation, and effectively capture early weak faults and multi-field coupling anomalies that are difficult to identify using traditional methods.

The invention discloses a dynamic real-time correction method and system under multi-physics field coupling, and the method comprises the steps: S100, constructing an integrated double-cavity sensor comprising a strain sensing cavity and an environment reference cavity, and enabling the reference cavity to only output a coupling signal of water pressure and temperature; s200, variational mode decomposition is carried out on the measurement signal and the reference signal, false mode components are identified and eliminated, and an observation signal and an environment fingerprint signal are reconstructed; s300, constructing a high-dimensional phase space vector, analyzing track characteristics of the vector, and identifying a hysteresis loop state of the sensor; s400, establishing a multi-core relevance vector machine regression model, and obtaining structure deformation data after preliminary correction; and S500, extracting a long-period trend term in the signal, calculating and deducting a pure equipment drift distance, and outputting a final deformation value. The multi-source interference coupling problem of water pressure, temperature, turbulence noise, equipment creep and the like in an underwater environment is solved in a targeted manner, and the adaptability, the anti-interference capability and the data reliability of an underwater measurement scene are improved.

The present application relates to the technical field of industrial information processing, and discloses an industrial historical data inversion method and device based on phase space reconstruction and a medium. The present application constructs an auxiliary variable full-time shadow manifold, locates a state point at a target variable missing time in the manifold, and determines the missing value based on the target variable values corresponding to a plurality of state points similar to the state point in the training window, which helps to reduce the smoothing distortion problem of the traditional interpolation method in the nonlinear fluctuation scene, and realizes the inversion of long-period historical data under the condition of a small amount of coexisting data. At the same time, the present application takes the dynamic coupling relationship as a prerequisite, and improves the interpretability and reliability of the reconstruction result.

The invention relates to the field of electric power, and discloses a method for evaluating and analyzing the deep peak regulation capability of a coal-fired power generating unit, which is used for introducing a nonlinear dynamic system theory into the field of evaluating the deep peak regulation capability of the coal-fired power generating unit. According to the method, the dynamic behavior of the system is described by using the phase space reconstruction technology, the stability boundary is quantitatively analyzed in combination with the Lyapunov index and the Hamiltonian system theory, and the evaluation model considering the multi-time scale coupling effect is established. The peak regulation limit is accurately recognized from the dynamic characteristic level in the unit, the problems that in an existing method, the mechanism is not clear, system analysis is isolated, and real-time performance is poor are solved, and guarantee is provided for improving the peak regulation capacity of the unit, guaranteeing safe and stable operation of a power grid and promoting renewable energy consumption.

The present application relates to the technical field of fault diagnosis, in particular to a relay operation state fault risk prediction method and system. In view of the problem that transient micro degradation characteristics are easily covered by systematic baseline distortion of sensing circuit, the present application extracts the original pulse width modulation parasitic harmonic as a probe, calculates the equivalent reactance evolution characteristics of the relay, maps the temperature drift baseline and mechanical vibration vector to the Poincare phase space, extracts the nonlinear topological distortion manifold by calculating the maximum Lyapunov index jump, constructs a structural causal model containing thermal inertia delay hidden nodes and performs counterfactual intervention, cuts off the error transmission path of temperature drift on topological characteristics, and reconstructs the absolute physical degradation index stripped of measurement interference. The present application realizes the absolute decoupling of signal false distortion and real physical ablation, and ensures the accuracy of fault warning under complex extreme conditions.

The invention provides an improved solution method for Penning ion source gyration kinematics simulation, and relates to the technical field of data processing, and the method comprises the steps: converting an original phase space coordinate system into a new phase space coordinate system through Lie conversion based on a motion equation, so as to obtain a generated vector field; based on the generated vector field, determining a transformation relation between the original phase space coordinate system and the new phase space coordinate system, and obtaining a simplified motion equation under the new phase space coordinate system; based on the simplified motion equation, a characteristic line method is adopted, interpolation operation is carried out on the two dimensions of the axial position and the parallel speed, and a distribution function under a new phase space coordinate system is obtained; and according to the distribution function under the new phase space coordinate system, mapping back to the original phase space coordinate system through pull-back transformation of Lie transformation, and finally obtaining an original convolution center distribution function. According to the method, the solving process of the charged particle cyclotron dynamics in the Penning ion source is simplified, and the simulation calculation efficiency is improved.

The application provides a simulation method for solving the improved Paning ion source cyclotron dynamics, and relates to the technical field of data processing.The method comprises the following steps: based on the motion equation, the original phase space coordinate system is transformed into a new phase space coordinate system through Lie transformation to obtain a generated vector field; based on the generated vector field, the transformation relationship between the original phase space coordinate system and the new phase space coordinate system is determined to obtain a simplified motion equation in the new phase space coordinate system; based on the simplified motion equation, the characteristic line method is adopted, and interpolation operation is performed on the axial position and parallel velocity dimensions to obtain a distribution function in the new phase space coordinate system; according to the distribution function in the new phase space coordinate system, the original phase space coordinate system is mapped back through the pullback transformation of Lie transformation, and finally, the original cyclotron center distribution function is obtained. The application simplifies the solving process of the charged particle cyclotron dynamics in the Paning ion source, and improves the simulation calculation efficiency.

The invention relates to the technical field of dispersant suspension system monitoring, and discloses a dispersant suspension system anti-layering stability prediction method and system.The method comprises the steps that an original time sequence turbidity data flow of a dispersant suspension system is collected, a microscopic agglomeration index is calculated after sliding window processing, and probability density distribution is generated; performing asymmetric Gaussian fitting on the probability density distribution to separate characteristic components, and calculating an attenuation amount of an interface coupling factor; building a healthy phase space of the suspension system, mapping the indexes into real-time state points, and calculating a Mahalanobis distance and direction angle sequence; finally, judging a dominant risk type and predicting a macroscopic layering time node; according to the method, the microcosmic features are deeply excavated by constructing the multi-dimensional phase space, small dynamic changes and interface failure signals can be captured in advance when the macroscopic turbidity value is pseudo-stable, and the sensitivity and foresight of stability prediction are remarkably improved.