17 results about "Boundary values" patented technology

This invention discloses a high-precision density reversal method and system for gravity anomalies based on regular, stable, and high-speed solution. [Solution] Based on the above-mentioned field source regularization solution, we propose using data with false anomalies at the field source imaging depth as boundary value conditions. Again, by solving the upper space of the first class boundary value problem of Laplace's equation, we calculate gravity anomalies on the ground and perform least-squares optimization iterative solution with the actual ground anomalies to obtain high-precision anomaly imaging data at the field source depth that does not contain false anomalies due to the Gibbs effect. This depth is used as the top interface of the field source, and the top interface is divided into grid prisms to construct the field source morphology. Density inversion is performed on each prism top surface in the frequency domain to obtain the density distribution of the field source morphology. Since this algorithm is implemented in the frequency domain and the inversion is performed at a known field source depth, the present invention is a gravity density inversion method with high speed, high precision, and high resolution characteristics, and provides a new concept for realizing the solution of gravity field source density parameters.

This invention discloses an advanced positioning algorithm that, by constructing a statically indeterminate linear equation system, can efficiently integrate data from various stations in a large-scale distributed positioning system and accurately determine the target location in a single calculation. Its innovation lies in utilizing the transformation relationship between polar and rectangular coordinate systems to directly construct a boundary value equation containing mixed variables based on the path difference equation. Through appropriate equation transformation and variable substitution, the algorithm achieves linearization of the boundary value equation, significantly simplifying the calculation process. Furthermore, addressing the decisive influence of the path difference construction method or matrix construction strategy on positioning accuracy, this invention proposes unique path difference construction rules or coefficient matrix construction methods. These rules and methods ensure highly accurate positioning results in practical applications. The new algorithm is not only simple but also significantly improves positioning efficiency, bringing a revolutionary change to large-scale distributed positioning.

The application discloses a kind of comprehensive energy system interval probability energy flow calculation method and system, the method includes: establishing interval variable model and random variable model;Respectively to random variable model and interval variable model sampling, obtain multidimensional random variable and multidimensional interval variable;Through the HL-MEF agent model of double-layer agent model upper layer calculation determines performance flow, according to the calculation result, output energy flow upper and lower boundary value;According to multidimensional random variable, energy flow upper and lower boundary training the sPCE agent model of double-layer agent model lower layer;Large-scale random variable is regenerated and input to the sPCE agent model of training completion, and the upper and lower boundary values of interval probability energy flow are output.The application designs double-layer agent structure, through the multi-energy flow calculation model based on heterogeneous learner of upper layer, reduces the online sampling burden of lower layer training sPCE agent model, and through sPCE agent model, reduces a large amount of repeated calculation of determining performance flow.

The application discloses a kind of grid-connected virtual synchronous generator transient synchronization practical stability analysis method and system, belong to power grid technical field, method includes: establishing the grid-connected VSG disturbance system model of introducing lumped disturbance term, and the multiple uncertainty of parameter error, reference power fluctuation and grid operating condition change is uniformly represented in lumped disturbance term;Based on the boundary value of lumped disturbance term design deterministic comparison system, approximate representation disturbance system model;With comparison system as object, solve its unstable equilibrium point and deduce critical energy, make conservative estimate to the practical stability domain of disturbance system;Combined with Poincaré-Bendixson theorem determines the limit cycle position of comparison system and constructs equipotential surface, estimates the final boundary of the practical stability of disturbance system.The application also provides corresponding analysis system.The application improves the rigor and engineering practicability of stability analysis, and provides reliable basis for the safe and stable operation of grid-connected VSG.

The application discloses a porous medium heat and mass transport physical field prediction method, system, device and medium. The porous medium heat and mass transport physical field prediction method comprises the following steps: obtaining dimensionally homogeneous input data of a porous medium heat and mass transport process under a target working condition, wherein the dimensionally homogeneous input data at least comprises pore structure, initial boundary value conditions and physical property parameters; taking the dimensionally homogeneous input data as data of an input end of a prediction model, and obtaining a prediction result of the porous medium heat and mass transport physical field corresponding to the target working condition through the prediction model, wherein the prediction model is pre-trained according to a pair of dimensionally homogeneous input and output data obtained from pre-obtained porous medium heat and mass transport physical field data and heat and mass transport control equations, and the pair of dimensionally homogeneous input and output data comprises dimensionally homogeneous input data and dimensionally homogeneous output data under corresponding conditions. By adopting the application, the prediction efficiency of the porous medium heat and mass transport physical field can be effectively improved, and the cost investment of prediction can be reduced.

A method for determining a permissible state variable boundary value of a technical system in a vehicle. The controllability of a subsystem is ascertained on the basis of an ASIL index and is determined from the controllability of the state variable boundary value.

The application relates to the technical field of flood disaster prediction, and discloses a model-coupled lake area water level prediction method, a medium and computer equipment. The prediction method comprises the following steps: establishing a two-dimensional mathematical water dynamic model to obtain an optimal water level prediction neural network model; obtaining actual measurement values of upstream water levels; taking predicted downstream water level prediction values as downstream boundary values of the two-dimensional mathematical water dynamic model, and taking the actual measurement values of the upstream water levels as upstream boundary values; running the two-dimensional mathematical water dynamic model to output water level data conforming to physical laws; respectively establishing neural network models for prediction sites in the lake area to realize point water level prediction based on physically consistent labels; and dynamically updating and outputting water level prediction values. Effects are as follows: physical consistency is maintained, and the physical credibility of prediction results is improved; downstream boundary conditions are dynamically updated in response to real-time hydrology, and the method is suitable for lake area water level prediction scenarios; high-dimensional field simulation and low-dimensional key point prediction are decoupled, and prediction accuracy is improved.

This application discloses a method and system for automatically generating dynamic de-identification test data based on a large language model. The method includes: collecting and parsing database metadata; extracting semantic feature vectors of fields; identifying and classifying sensitive types using a multi-path fusion strategy with sample verification; dynamically constructing structured LLM prompt word templates and injecting a dedicated generation strategy; calling the large language model to simultaneously generate four types of test data—normal values, boundary values, outliers, and null values—in a single call; performing format verification, constraint verification, and automatic correction on the generated data; and storing the data by field dimension and establishing a mapping index. This invention achieves accurate understanding of field business semantics through multi-level semantic feature extraction and multi-path fusion recognition. Combined with LLM multi-morphological generation and a three-level quality assurance mechanism, it solves the problems of insufficient semantic understanding, incomplete data morphological coverage, and disconnect between strategy and data in existing technologies, significantly improving the effectiveness and coverage of dynamic de-identification SDK testing.

This invention provides a robustness testing method and system for the kernel interface of an airborne real-time operating system. It employs a multi-dimensional equivalence class partitioning model for parameter classification, systematically enumerating six categories—legal values, boundary values, illegal values, null pointers, extreme values, and permission exceptions—based on two dimensions: data type and semantic role. This avoids the problem of overlooking exception categories in manual, experience-based design. Orthogonal lists are used for parameter combination, ensuring that any equivalence class combination between any two parameters is tested at least once. At the test execution level, four mechanisms are deployed: watchdog deadlock detection, memory sentinel out-of-bounds detection, kernel panic callback capture, and non-volatile progress marker restart detection, making result determination independent of the API return value itself. The structured test report generated by this invention includes coverage statistics, detailed abnormal test cases, and defect location information, serving as objective evidence of DO-178C robustness testing activities and meeting the airworthiness certification requirements for test sufficiency and traceability.

The application discloses a parameter setting method and system of PSS based on complex domain vector synthesis, and belongs to the technical field of power system automation and control. The method comprises the following steps: obtaining an open-loop frequency response, and extracting a phase lag characteristic curve of a channel; based on a complex domain vector synthesis model and the phase lag characteristic curve, a complex response calculation formula is constructed, a total open-loop phase is defined, a parameter vector is set and a parameter feasible region is determined, a target compensation phase is set, a weighted comprehensive phase error target function is defined, and a boundary value is set; the weighted comprehensive phase error target function is taken as a fitness function, parameter space searching is performed, and a parameter vector that minimizes the fitness function is solved; the parameter searching process of the global optimization algorithm is optimized; the optimal parameter set is verified in multiple dimensions and vector synthesis visual analysis is performed, and parameter setting of a power system stabilizer is completed. The application has correct principles, relatively high efficiency and accuracy in processing, and high engineering applicability.

This invention relates to an underactuated bridge crane trajectory planning method based on a two-point boundary value problem, belonging to the field of automation control technology. The method first constructs a complete nonlinear dynamic model considering the trolley displacement, hook swing angle, and load swing angle, and sets engineering constraints such as the trolley's maximum displacement, velocity, and acceleration. Then, the trajectory planning problem is transformed into a two-point boundary value problem, solved using numerical analysis methods, generating a unified reference trajectory for trolley positioning, hook swing, and load swing cancellation. This is then combined with an extended-state linear quadratic regulator to form a feedforward-feedback composite controller, achieving precise tracking of the planned trajectory. This invention eliminates the need for linearization of the swing angle, fully considers the actual positional constraints of the trolley, and effectively solves the strong coupling problem between trolley positioning and double-swing swing cancellation through precise nonlinear trajectory planning, improving the positioning accuracy, operational stability, and work efficiency of the bridge crane system.

This invention relates to the field of adaptive actuation technology for ramps, specifically to a dynamic wind-resistant stability control system and method for the ramp adjustment process of a roll-on / roll-off platform. In this invention, a fuzzy neural network is introduced to compare the extreme pressure values ​​of the accumulator, mitigating the phase lag caused by simple feedback control. By calling Gaussian process regression to deduce the state prediction sequence, boundary values ​​are extracted, constraint compression operations are performed, and the pump station's output rating is compared, avoiding the risk of trajectory deviation caused by extreme gusts leading to hydraulic components approaching saturation dead zones. The matrix is ​​decomposed to extract the hinge deformation residual vector, dynamically isolating the amplification effect of high-frequency measurement noise, improving the smoothness of state estimation and the robustness against disturbances. By calling the slope matrix to convert the duty cycle and adjust the servo valve opening, the large-scale articulated mechanism maintains a strict passage threshold range under the combined effects of severe wind and waves, preventing fatigue fracture failure of the mechanical structure due to local sudden load changes.

This invention provides a method and apparatus for determining reservoir probability volumes. The method includes: determining the boundary values ​​between reservoirs and non-reservoirs using multiple original logging curves from drilled wells; establishing an intersection diagram using the original logging curves and a porosity curve reflecting reservoir quality, and calculating the correlation coefficient between the original logging curves and the porosity curve; establishing a basic model using the original logging curves, using seismic data as a plane constraint, and inverting the attribute volumes of other original logging curves in the target area based on the basic model; calculating the reservoir prediction volumes of other original logging curves using the boundary values ​​between reservoirs and non-reservoirs determined based on each original logging curve and the inverted attribute volumes of each original logging curve; determining the weighting coefficients of other original logging curves based on the correlation coefficients; and calculating the reservoir development probability volume based on the weighting coefficients and the reservoir prediction volumes of other original logging curves. Using this invention, the accuracy of reservoir prediction can be effectively improved.

This invention relates to a method for converting the pore radius dimension of cast thin sections and a method for characterizing reservoir pore structure, comprising the following steps: conducting pore characteristic experiments on cast thin sections to obtain area frequency data corresponding to different pore radius intervals; performing trend fitting on the discrete distribution data of pore radius area to obtain a continuous distribution curve; calculating the apparent volume frequency data corresponding to different pore radius intervals; correcting the radius from the mathematical expectation value of cutting pores to the true value, and correcting the boundary values ​​of the pore radius intervals corresponding to the apparent volume frequency data to obtain the final pore radius volume frequency distribution of the cast thin section. This application converts the conventional planar pore distribution characteristics of cast thin sections to three-dimensional spatial characteristics, which can eliminate the dimensional difference between the pore distribution obtained from the cast thin section experiment and the pore distribution in the actual three-dimensional space of the formation, enhance its matching with the logging curves that reflect the three-dimensional distribution of pore space, and effectively improve the accuracy of reservoir pore structure characterization.

This invention provides a numerical calculation method for the transient stability of power systems based on a three-step, third-order parameterized boundary value method, belonging to the field of numerical calculation of power system transient stability. The method includes: transforming the general format of traditional boundary value methods into a three-step, third-order parameterized boundary value method calculation format; converting the initial value problem of the first-order ordinary differential equation system into vector form and supplementing additional conditions; analyzing the stability of the three-step, third-order parameterized boundary value method using the Lopez analysis method and deriving the stability domain conclusion; simplifying the parameterized boundary value method calculation format by combining implicit trapezoidal integration; obtaining the Jacobian matrix based on the simplified equations; and solving for convergence using the Newton-Raphson iteration method. This method solves the problem of slow calculation speed of traditional methods, improves transient calculation efficiency and reduces system operating costs while preserving numerical stability characteristics. It also possesses good calculation accuracy, versatility, and solution convergence, making it suitable for real-time transient stability analysis of large-scale power grids.

The application discloses a double-layer iterative laser radar visibility inversion method and system based on near-field constraint and K value dynamic inversion, and relates to the technical field of atmospheric remote sensing. Through designing an inner-outer double-layer iteration structure, the application decouples and links the optimization processes of two strongly coupled variables, i.e. the far-field boundary value and the K value, realizes the collaborative inversion of the two variables, finds a globally optimal parameter combination, and greatly improves the inversion accuracy of the extinction coefficient and the visibility. In addition, the application proposes a "near-field physical constraint" principle, utilizes the reliable characteristics of the near-field signal, converts the difficult-to-determine far-field boundary value optimization problem into a judgment problem of the physical form of the near-field profile, and enables the algorithm to have strong self-adaptive capability and to realize self-calibration without relying on external observation data.