10 results about "Critical parameter" patented technology

The invention discloses a device and method for determining the opening degree of a critical fracture capable of being injected with slurry, the device integrates high-precision mechanical driving, fracture model customization and real-time dynamic observation functions, and precise and continuous adjustment of the fracture opening degree is achieved through continuous propulsion of a stepping motor. The device is based on a transparent fracture model structure which is narrow inside and expanded outside during deformation, the seepage resistance of slurry is reduced, and visual observation of seepage and diffusion processes of the slurry in fractures is supported; in the test, the grouting pressure and the fracture opening degree change are synchronously monitored, and when the grouting pressure is sharply increased, the corresponding opening degree is the critical fracture opening degree, so that the integrated test from fracture opening degree regulation and control, visible slurry migration to quantitative analysis of critical parameters is realized. The device is simple in structure and convenient to operate, and an effective means is provided for groutability evaluation and process optimization of geotechnical engineering grouting materials.

The invention discloses an adversarial training method and device based on criticality perception fine tuning, and the method comprises the steps: for each to-be-trained parameter, comparing the robust performance difference between the current value of the parameter and the optimal value of an adversarial sample, initializing the robust criticality of each parameter according to the criticality degree, and obtaining the criticality of each parameter; obtaining an initial criticality score; for each parameter, calculating a gradient of the adversarial loss with respect to the parameter; iteratively updating the robust criticality of the parameter in combination with the initial criticality score and gradient of the parameter to obtain an updated criticality score; for a high-key module, bottleneck Adapter parameters are added in parallel, and for a low-key module, the parameters are kept frozen; and only updating Adapter parameters of a high-key module by using a robust fine tuning loss function, and freezing parameters of a low-key module. According to the scheme, only a small number of key parameters are finely adjusted, and the total calculation amount and video memory occupation are greatly reduced in the training process.

This application relates to the field of vehicle testing technology, specifically a method and device for determining critical parameters in vehicle slope rollover tests. The method includes: collecting a set of test data from actual vehicle rollovers and dividing it into subsets according to vehicle type; inputting vehicle parameters and test parameters into a forward discriminant model to train the model; calculating a basic inverse model from the forward discriminant model, adding constraints to the output of the basic inverse model, and correcting the basic inverse model using the vehicle parameters and test parameters of the vehicle to be solved; inputting the rollover result into the basic inverse model to obtain an angle range, and filtering test data within the angle range; returning to the operation of training the forward discriminant model until a cutoff condition is met to obtain the target angle range; and finally verifying the rollover critical angle value from the target angle range through actual vehicle angle gradient tests. This application achieves accurate inverse solving from rollover results to test parameters.

Method and system for managing critical parameters of assembly of pressure boundary bolted flanged joints (1 ) having a gasket (9) between sealing surfaces (11,12) of flanges (2,3). Bolt load, applied load, turn of nut or bolt head, joint misalignment and flange gap closure can be monitored and controlled concurrently during assembly to indicate if joint assembly is unacceptable and / or whether assembly / component requires rectification. A field control unit (23) has a portable electronic processor (21 ) and a data acquisition and control unit (22), including a load cell test sensor (24) enabling pre-assembly of the joint or bolts (4,5) for on-site testing of applied bolt load by using the load cell test sensor (24) to verify bolt load achieved. Automatically guiding joint assembly can improve safety and efficiency of joint assembly and also joint reliability..

The invention belongs to the technical field of power system stability control, and particularly discloses an optimization method for ultralow frequency oscillation damping characteristics of a one-pipe double-machine type pumped storage power station. The method comprises the following steps: firstly, constructing a kinetic model of the one-pipe double-machine pumped storage power station; analyzing the stability of the model by using Hopf bifurcation, and determining critical parameters and dividing a stability domain through a Jacobian matrix eigenvalue; introducing a stability margin to quantify the stability, and analyzing a first influence of different working condition points on the oscillation frequency and the damping ratio under the same stability margin; obtaining a second influence of the parameter on the oscillation frequency and the damping ratio through sensitivity analysis; and constructing a three-dimensional curved surface of the oscillation frequency, the damping ratio and the control parameters based on the two influences, dividing an equal-frequency area and an equal-damping-ratio area on the three-dimensional curved surface under the stable allowance working condition, and identifying the optimal control parameters from the equal-frequency area and the equal-damping-ratio area. Optimized identification of the key parameters is realized, and support and guidance are provided for suppressing ultra-low frequency oscillation of the pumped storage power station and improving safe and stable operation of the system.

The invention discloses an electric vehicle stability determination method based on tire side deviation characteristics and a phase plane, and belongs to the technical field of vehicle stability determination, and the method comprises the steps: S1, building a basic simulation model, including simulation model building and configuration of an information acquisition module; s2, phase plane construction and preliminary partitioning are carried out; according to the electric vehicle stability judgment method based on the tire side deviation characteristics and the phase plane, vehicle state parameters and a road adhesion coefficient are obtained through multi-model fusion estimation, then a side slip angle-side slip angle speed phase plane is constructed, preliminary partitioning is conducted in combination with a five-characteristic rhombus method, and the stability of the electric vehicle is judged. Critical parameters are solved based on tire lateral deviation characteristics to complete secondary partitioning, and finally, the stability margin is quantified through the distance between a state point and the instability boundary, so that accurate judgment is realized, the limitation of single-phase plane analysis is made up, the instability boundary is accurately quantified, stable region division is refined, and a clear basis is provided for intervention of a control system. And the stability judgment accuracy and robustness under the limiting working condition are improved.

The invention discloses a multi-module cooperative control method and system for an unmanned aerial vehicle electric power inspection system, relates to the technical field of unmanned aerial vehicle electric power inspection, and aims to analyze initial feature vectors of equipment images and sensor data through a machine learning model, intelligently identify equipment types and inspection requirements and dynamically determine a functional module sequence needing to be activated. Afterwards, for the complexity of data transmission between the modules, an inter-module data handover chain based on key parameters such as temperature distribution characteristics is established, and a module switching-in time sequence is generated through a grouping algorithm to realize on-demand activation. When the computing resource load exceeds a threshold, a resource allocation scheme is generated to ensure prioritized execution of key functions. And finally, processing the inspection data through a resource allocation scheme, and generating an inspection analysis result, thereby ensuring that data information among the functional modules can be seamlessly transmitted in a switching process, and improving the overall cooperation efficiency of the unmanned aerial vehicle electric power inspection system.

The invention provides a planetary rolling mill key parameter online monitoring data acquisition analysis system which can display key technical parameter information in a rolling equipment operation process in real time and can facilitate decision analysis through analysis. The system comprises a rolling mill lubrication system, a rolling mill cooling system, an inert gas protection system, a core rod temperature measurement and rolling zone cooling water detection system, an intelligent ammeter, a data storage module, a data transmission module and a data analysis gathering module. Compared to the prior art, the system provided by the scheme has the following advantages: key parameters of rolling equipment in an operation process can be acquired in real time, acquired data is analyzed, a database is formed, an enterprise can conveniently get connected to production conditions and grasp production cost, and strong scientific data support is provided for production decision-making of the enterprise.

The application relates to the technical field of power systems, and discloses a power line model parameter adaptability analysis method and system, which comprises the following steps: S100, acquiring electrical parameters reflecting actual operation characteristics of a power line as a characteristic parameter set and acquiring electrical parameters calculated by a power line model as a model parameter set; S200, performing statistical analysis on the model parameter set and the characteristic parameter set; and S300, calculating an adaptability index I of the model parameter set, I=I1*I2, wherein I1 represents expected adaptability of the model parameter set, and I2 represents interval adaptability of the model parameter set. Through the above technical scheme, adaptability analysis and defect analysis of the overall line parameters can be realized, overall review and evaluation of the effectiveness of various key parameters of the power line can be performed, common defects of the line parameters can be identified, reference bases for re-measuring the line parameters can be provided, the risk control level of a relay protection system can be improved, and the stable and economic operation of a power system can be ensured.

The invention discloses a parallel platform non-singular trajectory planning method and system and a storage medium, and relates to the technical field of robot trajectory planning and obstacle avoidance control. The method comprises the following steps: firstly, establishing a platform kinematics model and a singular point judgment standard; generating a smooth initial trajectory based on quintic polynomial interpolation; calculating a normalized weighted Euclidean distance between the trajectory point and the singular point to identify a risk segment; constructing an artificial potential field model containing an attraction potential field and a repulsion potential field for the risk segment, and correcting the track points according to resultant force; further constructing a comprehensive evaluation function fusing security, smoothness and fidelity; and finally, carrying out automatic global optimization on the key parameters of the artificial potential field by adopting a particle swarm optimization algorithm to obtain an optimal non-singular trajectory. According to the method, the problems that multiple performance indexes are difficult to collaboratively optimize and parameters are adjusted and optimized depending on experience in trajectory planning are solved, and comprehensive optimization of motion stability and path precision is guaranteed while singular points are effectively avoided.