16 results about "Response characteristics" patented technology

The invention provides an artificial intelligence-based industrial boiler coking prediction method and system. The method comprises the steps of infrared thermal image time sequence acquisition, multi-spectral dynamic threshold segmentation, acoustic impedance feature extraction, multi-modal working condition fusion, space-time attention prediction modeling and adaptive threshold decision triggering. According to the method, the local threshold values are adaptively calculated on different spectral bands such as short waves, medium waves and long waves, response characteristics of all temperature zones can be considered, the false detection and missing detection risks caused by the fixed threshold values are remarkably reduced, and high-temperature hot spots are extracted more accurately and reliably; acoustic impedance characteristics obtained through calculation quantitatively reflect the structure and viscosity change of a coking layer by using attenuation and time delay information of sound waves in an ash layer, a direct and fine physical basis is provided for subsequent rheological property inference, and the defect that mechanical changes of materials are difficult to capture through pure temperature monitoring is effectively overcome.

This invention discloses a method and system for evaluating the effect of wellbore grouting based on change attribution, relating to the field of grouting quality evaluation technology. The method includes: acquiring pre-grouting and post-grouting data for the same detection well; extracting baseline defect characteristics from the pre-grouting data and establishing a pre-grouting defect template; constructing a non-grouting reference response based on the pre-grouting defect template and combining the response patterns of stable sections and adjacent background changes; extracting measured response characteristics from the post-grouting data; calculating the grouting action and residual defect amount using dual-channel quantization based on the measured response characteristics, the non-grouting reference response, and the pre-grouting defect template; identifying change attribution based on the grouting action and residual defect amount to obtain initial attribution results; and performing section-level continuity optimization based on the initial attribution results to obtain the grouting effect evaluation results.

The invention relates to the technical field of performance testing, in particular to a frequency response characteristic testing method and device based on an FPGA, and the method comprises the steps: obtaining the test configuration information of a to-be-tested product, and carrying out the configuration of the frequency response characteristic testing device according to the test configuration information, the test configuration information at least comprises a test mode and a frequency response test parameter; generating a digital excitation signal based on the frequency response test parameter; determining a reference signal and a tested signal of the product to be tested according to the test mode and the digital excitation signal; and performing frequency response analysis on the product to be tested according to the reference signal and the tested signal to obtain a frequency response characteristic test result of the product to be tested. The method and the device have the effects of improving the frequency response characteristic test effect and the universality.

This technology offers advantages in improving control accuracy through feedforward control, even in environments containing disturbances with low reproducibility. [Solution] The control device includes a determination unit that determines the gain of the feedforward controller based on a control deviation data sequence showing the change in the control deviation of the controlled object and a response data sequence showing the response characteristics of the controlled object when a specific manipulated variable is applied to the controlled object. The determination unit generates a representative value data sequence consisting of representative values ​​of the control deviation of the controlled object at each time based on a plurality of control deviation data sequences acquired multiple times, and determines the gain based on the representative value data sequence and the response data sequence.

The application provides a kind of advertisement information service-oriented traffic load monitoring method, system and medium, by obtaining the service node load state record sequence corresponding to the time stamp of advertisement request stream data sequence in the preset monitoring period;Advertisement request stream data sequence is decoupled and rhythm extraction is carried out to request source, and the request impact conduction time sequence description is generated by cascading propagation in combination with advertisement position request propagation topological structure, and the time sequence distribution feature representation is extracted, while the load change feature representation is extracted to load state record sequence;Call traffic load collaborative analysis network to carry out collaborative interaction mapping to two kinds of feature representations, generate associated response characteristic representation;Associated response characteristic representation is carried out load bearing situation deduction, and load bearing capacity boundary description is obtained;According to the boundary description, generate traffic scheduling guide instruction and push to advertisement request distribution component to trigger request shunt adjustment.The application can improve the accuracy of load bearing capacity boundary determination.

The application discloses a mass detection method and system for the internal part of a slab track, and relates to the field of railway track engineering. The method comprises the following steps: constructing a multi-point excitation and multi-source sensing cooperative collection system in a target track section, applying a preset excitation load to the track slab, and synchronously collecting structural response data; combining the layered structure characteristics of the track, establishing an interlayer response transmission relationship, and mapping the response data into response characteristic parameters; performing disturbance sensitive feature extraction to obtain multi-dimensional response features; calling reference response features to compare and analyze the multi-dimensional response features to generate difference response characteristics; inverting and positioning the abnormal areas in the track structure to obtain defect position and degree data, and outputting the results. The application solves the problems of weak deep defect identification ability, inability to continuously quantitatively evaluate and easy to cause structural damage in the existing track internal quality detection, and achieves the effects of accurately identifying deep hidden defects, realizing global continuous quantitative detection and full-process non-damage.

This vehicle control system, which is a system for controlling a vehicle, comprises a control force calculation unit that calculates a control input, and a frequency response characteristic adjustment unit that adjusts a frequency response characteristic in the control input. The frequency response characteristic adjustment unit adjusts the frequency response characteristic in a fixed-point frequency band determined on the basis of a fixed point at which the magnification of vibration from a disturbance and vehicle body vibration caused by said vibration does not change irrespective of the control input.

The invention discloses a rolling bearing fault modeling and response prediction method based on defect edge evolution, and belongs to the technical field of mechanical system dynamics and health state evaluation. Firstly, a rolling bearing dynamical model is established based on a lumped parameter method, a raceway defect is divided into three parts according to the running state of the defect of a rolling body, and independent parameters are introduced to describe the morphology characteristics of each part of the defect. And establishing a segmented time-varying displacement excitation function based on the geometric parameters, coupling the segmented displacement excitation function to a nonlinear contact model to form a kinetic equation containing local defect characteristics, and calculating the time-history response of the system. According to the method, time domain and frequency domain analysis is carried out based on a time history response result, prediction of bearing response characteristics under different defect morphologies and evolution processes is realized, the method has high prediction precision and good engineering applicability, and effective theoretical and method support is provided for fault mechanism modeling, state monitoring and service life evaluation of the rolling bearing.

The invention discloses a response characteristic-based multi-agent event trigger control transient state and sesame phenomenon analysis method, which comprises the following steps of: applying measurable input to a leader agent and each follower agent, acquiring output, identifying impulse response of the leader agent and the follower agent, and expressing the impulse response as a power function attenuation form; the convolution input and output relation is converted into an algebraic equation through orthogonal transformation, and a fractional order differential model of each agent is established; under an event trigger mechanism, control input is modeled as a segmented step function, impulse response is utilized to carry out convolution solution on output, a steady-state component and a transient component are separated, and a collaborative error model containing historical transient influence is constructed. And further constructing a positive definite Lyapunov function, deducing an additional threshold considering a historical transient component in combination with a fractional differential comparison principle, and solving a minimum safety triggering time interval. And when the adjacent triggering interval is smaller than the threshold value, false triggering caused by the transient state is judged, and the signal is shielded, so that the sesame phenomenon is effectively eliminated, and the communication overhead is reduced.

The application provides a gyro track level data correction method and system based on feature alignment, which comprises the following steps: collecting track level parameter signals respectively; aligning gyro data samples and inclination data samples by head and tail double-end constraint; calculating residual data of the gyro coarse alignment data and the inclination data samples, and dividing the residual data into multiple segments and marking the segments; identifying multiple feature wave bands of the gyro coarse alignment data in a non-screening interval, and searching corresponding wave bands matching the feature wave bands in the inclination data samples; adjusting the amplitude of the feature wave bands of the gyro coarse alignment data through the corresponding wave bands; and adjusting non-feature wave bands of the gyro data samples and combining the feature alignment gyro data samples. The gyro data of the application has good dynamic response characteristics and static precision matching the inclination data, and has strong robustness, high efficiency and high accuracy, which helps to obtain more accurate and stable track level data.

The present disclosure details a versatile system for providing a digital system that evaluates one or more responses received from a subject of the system. The system provides a subject profile, comprising subject-specific historical, functional, clinical, or operational data relevant to the subject. A query engine provides one or more queries, or adaptive guidance, for the subject—and a digital agent is provided to interact with the subject in real time via a query or adaptive guidance from the query engine. One or more sensor devices communicate(s) or record(s) a response characteristic of the subject during interaction with the digital agent, and evaluation engine evaluates unified data based upon the subject's response to a query or adaptive guidance, in combination with the response characteristic.

The invention provides a multi-mode control-based servo drive comprehensive management method and system, and relates to the technical field of industrial automation control, and the method comprises the steps: firstly constructing an operation scene demand portrait containing operation constraint, power output and environment interaction requirements, and associating scene changes with control demands; then performing structured processing on the control mode to generate a mode feature set containing core functions, parameter adjustment and time sequence response features; then collecting real-time operation data, and calling a feature set through association analysis to construct a dynamic response network; generating a multi-mode linkage control instruction based on the dynamic response network, wherein the multi-mode linkage control instruction comprises a feature activation sequence, a parameter adjustment path and a time sequence cooperation scheme; and finally, optimizing the matching rule according to the execution feedback and updating the network link. According to the invention, self-adaptive control and multi-mode cooperation of the servo driving system in a complex scene are realized, and the control precision, the response speed and the system stability are remarkably improved.

The invention provides a control apparatus, a positioning apparatus, a lithographic apparatus, an article manufacturing method, and a storage medium. The control device controls the object on the basis of the feed-forward manipulated variable generated by the feed-forward controller. In one embodiment, an apparatus includes a determiner operative to determine a gain of a feed-forward controller based on a control error data string indicative of a change in a control error in an object and a response data string indicative of a response characteristic of the object when a particular manipulated variable is provided to the object. The determiner generates a representative value data string composed of representative values of control errors of the object at respective times on the basis of a plurality of control error data strings acquired a plurality of times, and determines a gain on the basis of the representative value data string and the response data string.

The invention relates to the technical field of control or regulation systems, and discloses a control or regulation system for response characteristic calibration of logging equipment, which comprises a frequency spectrum characteristic extraction module, a topological form locking controller, a thermodynamic benchmark evolution module and an amplitude response calibration controller, a frequency spectrum feature extraction module is used for extracting power values of intrinsic background noise in a passband core frequency band and a stop band edge frequency band, a dimensionless frequency spectrum shape factor is constructed, a topological form locking controller adjusts bandwidth control parameters according to deviation between the factor and a topological constant reference, a physical bandwidth is locked, and the bandwidth is locked. On the premise of bandwidth locking, the amplitude response calibration controller adjusts gain in combination with the deviation between the theoretical target power value calculated by the thermodynamic reference evolution module and the actually measured total power, and the bandwidth is locked by using the intrinsic noise spectrum shape invariant through a double-closed-loop time sequence decoupling mechanism. And the problems of model mismatch and multivariable coupling control caused by no external standard source and aging of devices are solved.

A display device (10) is disclosed which is configured to: select a gaze focus area (Z) as a scan control start point based on a gaze focus position and foveated rendering information, where the gaze focus area (Z) is an area on which a user's gaze is focused; and first apply a scan signal (SC) to the gaze focus area (Z) as the scan control start point. This improves the response characteristics and reduces latency.