33 results about "Response Parameters" patented technology

This invention discloses a method, apparatus, device, storage medium, and program product for extracting interface changes. The method includes: acquiring merged request (PR) data corresponding to the target interface within a first specified time period; extracting features from the PR data to obtain a first PR feature; performing a structured conversion of the first PR feature according to a pre-set Markdown format specification to obtain a Markdown document, wherein the Markdown document includes original and target values ​​of basic interface information, original and target values ​​of request parameters, original and target values ​​of response parameters, and original and target values ​​of interface logic; validating the Markdown document, and if the validation passes, sending the Markdown document to a terminal device for display. Therefore, this embodiment can automatically extract interface change information, improving extraction efficiency.

This invention discloses a bridge-tunnel co-construction method based on adaptive construction parameters, specifically relating to the field of bridge-tunnel collaborative construction technology. It collects disturbance response parameters such as foundation settlement rate, pile foundation lateral displacement, and tunnel arch convergence rate to form a set of construction disturbance parameters. This set is input into a structural coupling identification model to extract the pile-arch relative stiffness ratio, pile end support reaction difference, and tunnel deformation anomaly values, constructing a structural coupling state feature vector. Based on this, an optimal construction sequence combination strategy is matched to implement bridge-tunnel coupled construction. During construction, the disturbance response parameters are updated in real time, compared with historical curves, and the disturbance offset is calculated. When the offset exceeds a preset tolerance threshold, iterative updates of features and strategies are automatically triggered until the disturbance stabilizes. This method enables dynamic adjustment of construction sequences and structural collaborative control of bridge-tunnel connection sections, significantly improving the adaptability, safety, and construction efficiency of bridge-tunnel co-construction projects under complex geological conditions.

This invention provides a device and method for testing the seismic performance of a power distribution cabinet. The device includes: a frame; a base plate disposed directly above the frame, on which the power distribution cabinet is placed for testing; a vibration mechanism disposed between the frame and the base plate, used to perform vibration performance testing on the base plate at different response levels; a first detection mechanism for acquiring first test information during testing; and a second detection mechanism for acquiring second test information from the outside and inside of the device under test in real time. According to this invention, by using a vibration mechanism to test the base plate with different response parameters, the vibration performance of the power distribution cabinet can be comprehensively considered, and its seismic performance under different levels of vibration can be tested. Combining the first and second test information, the corresponding seismic performance can be accurately obtained. By importing the first test information into a response level model, the actual test level can be obtained, thus obtaining the test level corresponding to the test result.

A method of controlling a neural stimulus, the neural stimulus being defined by at least one stimulus intensity parameter. The method comprises, generating a stimulus intensity parameter to control a stimulator that generates a stimulus current for application to a tissue, measuring a response of the tissue, evoked by the stimulus current, determining a response parameter indicative of the measured response, in response to the response parameter being less than a first threshold, setting the stimulus intensity parameter to a desired stimulus intensity level; and in response to the response parameter being greater than a second threshold, adjust the stimulus intensity parameter according to a feedback variable derived from the measured response.

This invention relates to the field of pipe blockage detection technology and discloses a pipe blockage detection method for a squeeze-type fluid conveying device, comprising: acquiring at least one response parameter associated with the load state of the squeeze actuator during each squeeze drive cycle; comparing the response parameter with a pre-established normal response model of the squeeze-fluid system; and determining that the fluid pipeline is blocked and triggering a blockage response when the response parameter continuously deviates from the normal response model and meets a preset continuous judgment condition during multiple consecutive squeeze drive cycles. This invention effectively overcomes the problem of strong detection lag in existing technologies by establishing a real-time correlation mechanism between the squeeze action and the pressure change inside the pipe, synchronously acquiring and analyzing pressure signals in each squeeze cycle, thereby achieving dynamic and real-time monitoring of the pipeline status.

The application discloses a joint control method and system of multiple servo motors, which comprises the following steps: collecting real-time working parameters, load feedback data and target feature information of multiple servo motors, and performing space-time alignment and noise filtering processing, simultaneously extracting dynamic response parameters corresponding to each servo motor, and determining the load coupling coefficients between the servo motors; constructing a collaborative task matrix and generating an initial collaborative control strategy; determining different working process stages corresponding to the multiple servo motors, calculating the corresponding collaborative priority weights, and constructing a phased collaborative control model; obtaining corresponding working state parameters and the current state of the target, dynamically adjusting the collaborative coefficients corresponding to each servo motor, substituting into the phased collaborative control model to generate real-time control instructions corresponding to each servo motor, and performing joint control iterative optimization to generate a closed-loop adaptive joint control mechanism. The application can improve the joint control efficiency of multiple servo motors.

The application discloses a matching method, a wireless control system, an electrical appliance, a medium and a product. The method is applied to a wireless control device and comprises the following steps: if the wireless control device is in a matching mode, first device information and a first response parameter of a device to which a detected NFC tag belongs are determined by performing data reading on the NFC tag; if a communication connection is established between a target device and the first device information, the first response parameter is sent to the target device according to a preset rule, so that the target device performs response processing on the first response parameter based on pre-stored data, wherein the pre-stored data of the target device is consistent with data in an NFC tag of the target device; and if target feedback information sent by the target device and used for representing successful response is received, it is determined that the wireless control device and the target device are successfully paired. The scheme realizes accurate pairing of the wireless control device and the target device, and improves user experience.

The application provides an air conditioner and a parameter determination method, a storage medium and a computer program product thereof, and the method comprises the following steps: obtaining response parameters of the air conditioner running in different parameter value combinations of two or more operating parameters through experimental tests; determining a first parameter value combination for running the air conditioner to an optimal state according to the obtained response parameters; determining signal-to-noise ratios of the response parameters when running in different parameter value combinations according to the obtained response parameters; determining a second parameter value combination for running the air conditioner to the optimal state according to the determined signal-to-noise ratios; determining an average value of the signal-to-noise ratios of the response parameters when running in each parameter value according to the determined signal-to-noise ratios; determining a third parameter value combination for running the air conditioner to the optimal state according to the determined average value of the signal-to-noise ratios; and determining an optimal parameter value combination for running the air conditioner to the optimal state according to the first parameter value combination, the second parameter value combination and the third parameter value combination. The application can optimize the operating parameters of the air conditioner.

This invention discloses a method for detecting frequency shift and abnormal noise in pedestrian warning devices for electric vehicles. The method triggers audio by sending a simulated operating condition message and eliminates time delay errors by synchronizing with the underlying hardware clock. The acquired audio is sequentially filtered and scaled, and effective signal segments are extracted using short-time energy and zero-crossing rate. After phase-aligned splitting, the psychoacoustic features, harmonic distortion, and frequency shift response parameters of each subsequence are extracted. Finally, a feature local distance matrix is ​​constructed, and a dynamic programming algorithm is used to calculate the minimum cumulative cost path to output the sound defect type, while simultaneously verifying the linear mapping relationship between frequency shift response and vehicle speed. This invention effectively eliminates time delay and noise interference, achieving high-precision automatic classification of abnormal noise and accurate verification of frequency shift characteristics.

The present application belongs to the technical field of foundation pit engineering monitoring, and relates to a kind of foundation pit intelligent monitoring test method and equipment, which constructs the multi-physical quantity monitoring sequence of time sequence alignment by supporting member mechanical response parameter and medium mechanical response parameter, and establishes mechanical transmission path combined with spatial geometric relationship, can bring originally dispersed monitoring data into the same transmission link for analysis;By extracting the load transmission coefficient and constraint stiffness characteristics of each constraint node, a supporting member-medium coupling response characteristic matrix is constructed, providing a unified feature base for the establishment of theoretical transfer function, and based on the theoretical transfer function at each constraint node, the corresponding overall theoretical response envelope is established, which avoids false alarm or false alarm caused by relying on fixed threshold;By the over-limit combination state of supporting member response deviation and medium mechanical response deviation, the abnormal cause is determined as supporting member problem, medium change problem or supporting member and medium coupling failure problem.

This application relates to a congestion control method and a traffic splitter system for lossless networks. The method includes: collecting the queue depth of each output port; comparing the queue depth with a congestion threshold to determine the congestion state, where the congestion state includes multiple congestion levels corresponding to a set of linked response parameters; obtaining cache depth configuration parameters and traffic splitting weights from the linked response parameter set based on the current congestion level, with the two jointly generated within the same decision cycle and inversely correlated for the same output port; performing cache depth adjustment, scheduling priority adjustment, and traffic allocation based on the linked response parameter set; statistically analyzing the packet loss rate change within the evaluation window after the adjustment action, and upgrading the congestion level and re-jointly deciding when the adjustment is ineffective. This application couples the decisions of caching, scheduling, and traffic splitting into an inseparable joint generation process through the linked response parameter set, and drives inter-stage jumps with closed-loop feedback, reducing packet loss caused by micro-burst traffic in high convergence ratio scenarios.

This invention proposes an artificial intelligence-based vehicle control method and system, comprising: acquiring raw data of the vehicle's surrounding environment to construct a digital twin model of the vehicle's surrounding environment; identifying the current driving intention type based on environmental information, historical vehicle driving data, and driver operation behavior characteristics, and calculating a multi-dimensional risk situation index by combining the spatiotemporal correlation between obstacle movement trajectories and the vehicle's current state; performing simulation based on the multi-dimensional risk situation index to generate an adaptive control strategy sequence and convert it into control commands; monitoring the vehicle's actual response parameters after the control commands are executed, and calculating the deviation between the predicted state and the vehicle's actual state; when the deviation exceeds a preset threshold, fine-tuning the deep neural network and reinforcement learning model using the actual response parameters; and storing the optimized model parameters and synchronizing them to other vehicle nodes in the vehicle network. This invention achieves accurate environmental perception and intelligent, flexible generation of control strategies.

This invention relates to the field of industrial automation and intelligent manufacturing technology, and discloses an intelligent combustion control method and system for a steel rolling heating furnace. The method includes acquiring flow rate, furnace temperature, environmental data, and response parameters; aligning the flow rate and calculating a weighted ratio based on the furnace temperature; filtering and mapping if the ratio exceeds the limit to obtain a proportional imbalance offset; extracting and aligning feature vectors based on the offset to obtain a fluctuation feature sequence; mapping the sequence to a frequency range to obtain an amplitude threshold, and if the threshold is exceeded, performing reverse mapping to obtain adjustment suggestions; combining the response parameters with time axis alignment and gain mapping to obtain an optimization scheme; and performing time axis offset processing and deviation calibration to obtain the final control sequence. This method can achieve real-time and accurate closed-loop control under complex dynamic disturbances.

This application provides a sound field parameter calibration method and an audio system. In this method, by utilizing sensors and a pre-trained AI model, the operating parameters of the speakers in the audio system can be adjusted without manual operation, thus automating the sound field calibration and significantly improving its efficiency. Furthermore, the AI ​​model can accurately predict target values ​​for sound field response parameters that match the current environment and user location information by learning from preset data. Compared to manual calibration, this reduces deviations caused by individual differences, enabling the system to accurately determine parameters such as sound image direction, sound pressure level, and relative arrival time delay, thereby improving calibration accuracy.

Mechanisms for establishing forward secrecy during digest access authentication are provided. A method is performed by a client device. The method includes performing digest access authentication with a server device. The digest access authentication includes sending a first request towards the server device for accessing a resource; and receiving a first response. The first response includes a challenge and a public component of an asymmetric key pair for a key exchange with the server device. The digest access authentication includes calculating, using a digest algorithm, a response parameter based at least on the challenge and the public component of the asymmetric key pair; and sending a second request towards the server device for accessing the resource. The second request includes the calculated response parameter. The digest access authentication includes receiving a second response from the server device that indicates successful digest access authentication with the server device.

This specification provides a method and system for evaluating the seismic performance of long-span buildings. The method includes: acquiring multidimensional performance response data of the long-span building under seismic motion to form a sample set; determining the initial number of cluster centers based on a preset number K of seismic performance levels; calculating the sensitivity coefficient of each response parameter to overall damage; identifying extreme response samples in the sample set and selecting the point with the largest weighted Euclidean distance from the origin as the first initial cluster center; calculating the local density of unselected candidate sample points and calculating the minimum weighted distance between the sample point and all selected centers; multiplying the local density by the minimum weighted distance to obtain an evaluation index; selecting the sample point with the largest evaluation index as the next center; and using the determined K centers as initial centroids to perform weighted cluster analysis on the performance sample set to obtain a classification of K seismic performance levels.

This invention discloses a method and system for evaluating rolls based on energy-adjustable shot peening, belonging to the field of metal material processing and testing. The method includes: selecting at least two test areas on the roll surface to be evaluated; characterizing the initial state of the test areas, measuring at least their initial surface roughness and initial surface hardness; using energy-adjustable shot peening equipment to perform shot peening treatment on different test areas with at least two different preset shot peening energy parameters; measuring the response parameters of each test area after shot peening treatment; comparing and analyzing the response parameters of each test area under the same shot peening energy, calculating their standard deviation or range; evaluating the surface microstructure uniformity of the roll based on the standard deviation or range; and predicting the rolling performance of the roll based on the absolute value and uniformity of the response parameters. This invention can simulate actual rolling conditions, achieving quantitative, rapid, and reliable evaluation of the surface microstructure uniformity of the roll, and scientifically predicting rolling performance and service life.

This application provides a method, apparatus, and device for detecting in-service equipment in autonomous vehicles. The method includes: identifying one or more consistency detection point road segments in an electronic data map that meet the requirements for stable driving in autonomous driving mode; obtaining a reference range of response parameters for in-service equipment in autonomous driving mode; collecting actual values ​​of response parameters of in-service equipment on the target vehicle when the target vehicle is driving in autonomous driving mode on the consistency detection point road segments; and outputting the performance status of the in-service equipment based on the actual values ​​of the response parameters and the reference range of the response parameters. This application enables an indirect, effective, and early assessment of the performance degradation status of key in-service equipment in autonomous vehicles.

This invention relates to the field of operation monitoring and control technology, specifically to a method and system for monitoring and controlling the harvesting quality of cotton harvesters. The method includes the following steps: comparing the conveyor flow rate and drum speed in the picking area to identify asynchronous recordings; analyzing the correlation between cycle time and row speed and plant density; identifying abnormal areas and recording impurity changes; adjusting the hydraulic valve and the height of the picking area based on the diagnosis and optimizing the drive energy; activating the mechanical limit mechanism if the adjustment consistency is not verified; and obtaining a set of control adjustment action execution response parameters. In this invention, by analyzing the periodic changes in the conveyor flow rate signal and drum speed in the picking area of ​​the cotton harvester in real time, the trend of operation quality can be accurately determined, the operation parameter adjustment process can be optimized, and human error can be reduced. The operation height can be precisely adjusted through the hydraulic regulating valve to ensure cotton plant grasping efficiency and operation stability. Feedback detection of the hydraulic system execution status ensures the accuracy of the adjustment actions, effectively improving operation stability and quality consistency.

The application discloses a kind of power transmission tower all bolt one-time rapid detection method, system, equipment and medium, belong to power transmission tower bolt detection technical field, comprising: the first excitation state and the second excitation state of identification excitation load;First mechanical response field and second mechanical response field are determined by first transfer path based on environmental excitation parameter and structure parameter, third mechanical response field and fourth mechanical response field are determined by second transfer path based on measurement response parameter;Establish field deviation characteristics, determine closed-loop integrity index;Convergent iteration number is obtained by iteration;Same process is executed to second excitation state;Identify symmetrical node group to determine loose node.The application avoids the problem that single path cannot be self-verified through double transfer path closed-loop verification and symmetrical node double excitation state comparison, excludes sensor error and structure degradation interference, without pre-establishing model or database.

The application discloses an intelligent production management method and system based on a grain extraction process, relates to the technical field of intelligent production management and control, and comprises the following steps: detecting the organizational microstructure and ingredient distribution of batch raw grains to obtain structure characterization data; constructing a processing response parameter set through scale expansion and physical decoupling, constructing a multi-dimensional processing response spectrum and superimposing coupling to generate a comprehensive response channel; dividing process sections and mapping parameters according to the comprehensive response channel to construct a process configuration matrix, and finally carrying out intelligent production management of the grain extraction process according to the matrix. The application solves the technical problem that the traditional grain extraction production management mode cannot adapt to the processing process in combination with the characteristics of raw grains and cannot accurately match the processing behavior of multi-source raw grains, achieves the technical effects of accurate configuration of grain extraction process parameters and intelligent management and control of the production process, and improves the production management and control efficiency of grain extraction.

The application discloses a welding structure fatigue life reliability evaluation method based on a physical information neural network, which is applied to the technical field of structure life prediction, and aims at accurately evaluating the fatigue life and reliability of a welding structure under the coupling influence of manufacturing process and service load double uncertainties in actual engineering, which is still a difficult problem to be solved urgently. The application characterizes and quantifies multiple-source uncertainties by systematically analyzing a geometric structure and a service load, constructs a finite element model considering the uncertainties and performs dynamic crack propagation simulation to obtain key mechanical response parameters. Furthermore, the application fuses numerical simulation and test data to establish a PINN fatigue life prediction model with the Paris formula as a physical constraint, and finally realizes reliability evaluation based on subset simulation.

The application belongs to the technical field of elevator brake detection, and specifically discloses an elevator brake friction performance detection method based on multi-data fusion. A sensing unit is integrated in the elevator brake, and the time sequence signals of three parameters, i.e., braking force, brake shoe thickness and coil temperature, are synchronously collected during braking. Meanwhile, the braking process is divided into time periods, the main parameters and response parameters are screened in each time period through response cross correlation, the period-oriented fine detection of friction performance is realized, and the physical matching degree of the detection result and the period-specificity are greatly improved. Then, the detection results of the friction performance of each period are input into a multi-factor coupling judgment model for period anomaly recognition, and combined with the physical role of the period, the abnormal period coverage and the grading diagnosis result are output, so that the specific link of performance degradation can be accurately located, thereby assisting maintenance personnel to quickly formulate a targeted maintenance strategy.

This application relates to the fields of rehabilitation medicine and human-computer interaction technology, and discloses a rehabilitation method for elderly patients with osteoporosis and cognitive impairment based on extended reality. The method includes: collecting the patient's motion and physiological data; obtaining a synchronous calibration signal through a fusion algorithm and Kalman filtering; determining the virtual-real environment deviation value by combining rehabilitation progress and pain feedback; optimizing the response parameters and real-time force feedback parameters of the virtual scene through an adaptive adjustment mechanism to extract the patient's dynamic needs characteristics; fusing dynamic needs characteristics, audiovisual, tactile, and interaction delay data through a convolutional neural network to obtain a virtual-real interaction feedback sequence; generating virtual scene update data and simulated values ​​of assistive device support force based on this sequence, and synthesizing a rehabilitation training output signal. This invention provides a precise virtual environment and interactive feedback according to the patient's personalized needs, achieving dynamic and precise matching of the virtual and real environments and real-time adaptation of multimodal feedback in rehabilitation training, thereby improving the immersion of training and rehabilitation effects.

The embodiment of the application provides a kind of transformer operating state intelligent monitoring method and system, it is related to transformer operating state monitoring technical field, method includes obtaining the internal operation information of transformer, external environment information and power grid operating condition;Based on the internal operation information, the external environment information and the power grid operating condition, the expected response parameter corresponding to the internal operation information of the transformer is generated;The internal operation information and the expected response parameter are evaluated, and a plurality of deviation indexes are obtained;According to a plurality of the deviation indexes and the preset fault feature library, whether the transformer exists anomaly is judged;In the case where the transformer exists anomaly, according to a plurality of the deviation indexes and the preset fault feature library, early warning information is output.The application can improve the timeliness and accuracy of transformer fault early warning.

This invention relates to the field of intelligent control technology, specifically an intelligent collaborative control method and system for multiple actuators in sweeping and collecting sanitation operations. The method includes: collecting sensor data reflecting the interaction status between each module and road infrastructure; calculating the aerodynamic efficiency decay characteristic of the sweeping module during the current operating cycle; inputting the aerodynamic efficiency decay characteristic, the contact mechanical response parameters, and the environmental feedback parameters into a preset compensating overload coupling model to generate the joint fretting wear driving energy of the collecting module; calculating the cumulative damage energy of the road infrastructure based on the joint fretting wear driving energy and the contact mechanical response parameters; calculating the system entropy increase rate of the sanitation vehicle; and dynamically generating and executing a multimodal collaborative intervention strategy based on a comparison between the system entropy increase rate and a preset degradation stage threshold. This invention solves the problem in existing technologies where the hidden failure characteristics of multiple actuators during long-term operations are difficult to effectively address.

This invention relates to the fields of oil and gas reservoir development and digital oilfield technology, and provides an adaptive water-lock removal method based on interface behavior feedback control. The method includes: online monitoring of interfacial tension, contact angle, water cut, and pressure; calculation of interfacial response parameters and water-locking degree indices, inputting them into a decision model to generate a control strategy; injecting a water-lock removal agent according to the control strategy, adjusting the concentration, injection rate, and injection method; continuously collecting data during injection and feeding it back to the decision model for dynamic correction; repeating the above steps until the convergence criterion is met, at which point control stops. This invention, by constructing a collaborative mechanism of "online monitoring—interface characterization—intelligent decision-making—dynamic control," transforms the water-lock removal process from experience-driven to data-driven adaptive control. In low-porosity, low-permeability, and tight gas reservoirs, it can significantly reduce capillary resistance, improve gas phase permeability, and restore gas well productivity.

This invention belongs to the field of database technology and discloses a method and system for determining database verification passwords based on driver programs. The method includes: performing reliability screening to identify non-responding parameters; generating a test parameter set based on the non-responding parameters and determining a reliable verification password by combining the response results and logical values; classifying identified risk parameters as either level one or level two risk parameters by inputting a delay adjustment value and determining whether the database has entered an operation pause state; and constructing a security set and determining the verification password from the security set according to a preset selection rule including the associated password verification frequency. This invention can quickly and accurately determine a reliable verification password from the passwords to be tested, improving the efficiency and accuracy of verification password determination; by dynamically associating the determination of the verification password with the password verification frequency, the security verification can adapt to changes in business load.