154 results about "Response Parameters" patented technology

The invention discloses a tunnel blasting quality evaluation and optimization method based on multi-source data fusion, and belongs to the field of tunnel blasting quality evaluation, and the method comprises the steps: collecting and preprocessing multi-source data of a tunnel blasting region; based on the preprocessed multi-source data, performing blasting quality evaluation according to local back break, a blasting contour line, average linear back break and point cloud extraction to obtain a blasting quality evaluation result; according to the blasting quality evaluation result, the blasting quality is graded, and a comprehensive blasting quality score is calculated and graded; and establishing a database containing geological parameters, surrounding rock response parameters and blasting process parameters, training through a convolutional neural network model to generate a blasting parameter optimization scheme, and dynamically adjusting blasting parameters of the next cycle according to the comprehensive blasting quality score. According to the method, the blasting parameter optimization and the quality evaluation process are closely combined to form a closed-loop system, the specific situation in the construction can be reflected in real time, and the accuracy of the blasting effect is ensured.

The invention discloses a specific scene safety risk identification method based on visual dynamic analysis, and belongs to the technical field of safety monitoring, and the method specifically comprises the steps: collecting environment parameter time sequence data and cargo state time sequence data of a monitoring region; respectively extracting an environment characteristic component and a cargo response component; calculating a quantized value of correlation strength of the two through an information entropy algorithm, and marking the quantized value as a cargo response entropy value; a cargo response entropy evolution curve is monitored, and when the change rate of the evolution curve exceeds a historical threshold value and the change acceleration is not zero, it is judged that a state transition event occurs; extracting environmental incentive parameters and cargo response parameters of a state transition event, encoding the environmental incentive parameters and the cargo response parameters into risk feature tensors, inputting the risk feature tensors into the accident incentive chain knowledge base, outputting a matched critical intervention parameter set, and formulating an environmental reconstruction instruction set and a cargo intervention instruction set according to the critical intervention parameter set; according to the invention, the intelligent level and risk response capability of dangerous cargo safety early warning are effectively improved.

The invention discloses a digital calibration system and method for dynamic response parameters of a surge protection circuit, relates to the technical field of power electronic protection and test calibration, and is used for solving the problem that an existing surge protection circuit calibration method cannot reflect device degradation and dynamic response mismatch. Surge event voltage and current waveforms are collected through a synchronous trigger mechanism, non-stationary signal features are extracted through combined time-frequency analysis, and a voltage-current phase trajectory diagram is constructed to generate a response feature matrix; performing phase-space reconstruction on the matrix, calculating Kolmogorov entropy quantification system stability, and establishing a material degradation transfer function in combination with an energy absorption sequence to generate a grain boundary degradation index; key parameters are screened through L1 regularization regression, and a quantitative relation between a grain boundary degradation index and a protection threshold value is established to realize adaptive threshold value calculation; and executing strategy switching from calibration to predictive maintenance according to the degradation trend and threshold fluctuation change, and outputting a maintenance signal to complete dynamic accurate calibration and reliable operation of the surge protection circuit.

The invention relates to the technical field of engineering monitoring, in particular to a large-tonnage pre-stressed anchor cable tensioning quality intelligent evaluation system which comprises a time sequence construction module, a track recognition module, a stability recognition module, a coordination analysis module and a quality evaluation module. According to the method, the trend direction and rate conjoint analysis is carried out on multiple types of response parameters in the anchor cable tensioning process, the response synchronism characteristics in the tensioning period and in the cross-period can be accurately recognized, the anchor cable response track with a time sequence structure is constructed on the basis, accurate recognition of the lag phenomenon and the trend closing relation is achieved, and the accuracy of the anchor cable tensioning process is improved. The method further extracts the dynamic correlation characteristics between the structural disturbance and the tensioning segments, enhances the substantive identification capability of the structural stability risk by means of the time domain coincidence analysis of the disturbance duration of the unstable segments and the falling time consumption, and improves the accuracy of the structural stability risk by normalizing the response rates of the segments with the time overlapping relationship. An index system reflecting the overall coordination level can be established in an anchor cable group.

The invention discloses a road and bridge support hidden danger monitoring and early warning method and system, and belongs to the technical field of road and bridge support hidden danger intelligent monitoring. Constructing a theoretical transfer relation model based on the synchronous vehicle load parameters and the synchronous support mechanical response parameters; generating a modified theoretical model based on the synchronous environment temperature parameters and the theoretical transfer relation model; obtaining a response residual error based on the corrected theoretical model, the synchronous vehicle load parameter and the synchronous support mechanical response parameter; acquiring a hidden danger characteristic mode based on the response residual error and the synchronous structure attitude parameter; acquiring a risk probability value based on the hidden danger feature mode; and obtaining graded early warning information based on the risk probability value and the hidden danger characteristic mode. According to the road and bridge support hidden danger monitoring and early warning method and system disclosed by the invention, the problems of false alarm and missing alarm in the prior art can be solved, and the accuracy and reliability of road and bridge support hidden danger monitoring are greatly improved.

The invention provides a glue joint insulation joint fatigue damage evaluation method and system considering random parameters, and relates to the technical field of rail vehicle wheel-rail contact analysis, and the method comprises the steps: obtaining first information; establishing a dynamic contact model of the wheel and the cementing insulation joint according to the first information, and performing simulation to obtain a dynamic response parameter in the contact process of the wheel and the track; performing fatigue damage analysis according to the dynamic response parameters to obtain fatigue damage parameters; performing fatigue life prediction according to the fatigue damage parameter to obtain a fatigue life prediction result; performing sensitivity analysis according to the fatigue life prediction result to obtain a sensitivity analysis result; and calculating the failure probability of the glue joint insulation joint according to the sensitivity analysis result, and evaluating the reliability of the glue joint insulation joint. According to the method, the dynamic contact model of the wheel and the cementing insulation joint is established by using the finite element method and simulation is carried out, so that high-precision wheel-rail contact dynamic response parameters are directly obtained.

The invention provides a method and system for identifying an omissive hydrocarbon reservoir of an old oil field based on rock debris and optical fiber monitoring, and the method comprises the steps: carrying out the multi-mode digital analysis of the stock rock debris of a target well of the old oil field, and obtaining the rock physical characteristic parameters of the rock debris; the method comprises the following steps: obtaining stratum dynamic response parameters through a distributed optical fiber sensing system arranged in a sleeve of a target well of an old oil field in advance; historical logging data of the target well of the old oil field are called, and standardization processing is conducted on the historical logging data to obtain a historical logging parameter set; static errors of a historical logging parameter set are corrected through rock physical characteristic parameters, and real-time dynamic constraints are provided through stratum dynamic response parameters; according to the type characteristics of the reservoir where the target well of the old oil field is located, the corresponding multi-parameter fusion identification method is adopted to obtain the position of the missing oil and gas reservoir, and the accuracy and reliability of missing oil and gas reservoir identification are improved.

In one example, a system can input a first system prompt to a large language model (LLM). The first system prompt includes a first set of response parameters. The LLM can enter a first functional state based on receiving the first system prompt. While in the first functional state, the LLM can be used to engage in an interaction with a user to thereby generate interaction content. The system can then determine that a condition is satisfied based on the interaction content and, in response, input a second system prompt to the LLM. The second system prompt includes a second set of response parameters that is different from the first set of response parameters. The LLM can enter a second functional state based on receiving the second system prompt. While in the second functional state, the LLM can be used to continue the interaction with the user.

The embodiment of the invention discloses an interface verification method and device, equipment and a program product. The interface verification method comprises the steps of obtaining an interface request parameter of a to-be-verified interface and an interface response parameter output after the to-be-verified interface processes the interface request parameter; the interface request parameters are input into an interface verification model obtained through pre-training, expected response parameters are output through the interface verification model, and the interface verification model is obtained through training on the basis of sample data sets covering different service scenes and different types of interfaces; and the verification result of the to-be-verified interface is determined based on the difference between the interface response parameter and the expected response parameter, so that intelligent verification of the interface can be realized, and the interface verification efficiency and the accuracy of the interface verification result can be improved.

The invention relates to the related technical field of data analysis and processing, in particular to a call data intelligent analysis and processing method and system based on voice recognition, and the method comprises the steps: carrying out the multi-head self-attention mechanism coding learning of a semantic feature standardization vector and an interruption feature standardization vector, and inputting an encoding learning result into a decoder connected with the encoder, and carrying out feedback processing on response parameters of the call voice data according to the plurality of call processing duration parameters. The technical problems that long-distance dependence and multi-granularity rhythm changes in interaction cannot be effectively captured, so that decoded call processing duration parameters are not accurate, and effective feedback regulation and control are difficult to implement on response parameters are solved, the long-distance dependence and multi-granularity rhythm changes in interaction are captured, and the long-distance dependence and multi-granularity rhythm changes in interaction are combined with a gating attention mechanism, so that the call processing duration parameters are accurately decoded. A plurality of call processing duration parameters are accurately decoded through a Transform encoder-decoder structure, response parameters are dynamically adjusted, and the technical effect of intelligent closed-loop feedback control over the call service process is achieved.

The invention discloses a Bayesian network-based cold region tunnel vulnerability dynamic evaluation method and system, and belongs to the technical field of tunnel engineering. According to the method, meteorological data of a cold region is collected, and a tunnel full-life-cycle database is constructed in combination with multi-working-condition numerical simulation and an ANN agent model; calculating vulnerability grades under different working conditions based on a damage index grading system and a vulnerability model; a three-layer dynamic Bayesian network model (environmental factors, response parameters and vulnerability levels) is established, actually measured data are fused, and network parameters are dynamically updated by adopting an MCMC method. The problems that cold region tunnel data are missing and traditional evaluation is high in subjectivity are solved, full-life-cycle vulnerability dynamic accurate evaluation is achieved, and decision support is provided for tunnel healthy service.

The invention discloses a real-time focusing compensation method and system for femtosecond laser curved surface machining, and particularly relates to the technical field of light beam focusing control in femtosecond laser precision machining. The method is used for solving the technical problem of focus space-time deviation during high-speed curved surface machining caused by mismatching of dynamic response characteristics of an existing galvanometer and a dynamic focusing system. Pre-judging a response asynchronous risk by acquiring system response parameters and combining geometric and dynamic characteristics of a processing track, and identifying a dominant lag type; determining an error contribution distribution relation between the two systems according to the lag type; resolving to obtain a space trajectory error component which should be borne by the dynamic focusing system; and finally, controlling the laser to delay light emission according to the component until the dynamic focusing system is adjusted in place. Accurate diagnosis and quantitative compensation of a focus lag root are realized, and the focus position precision and the process reliability of femtosecond laser processing of a complex curved surface are effectively improved.

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.

Described herein is a method for providing personalised stimulation to a user during a sleep period comprising the steps of: receiving one or more signals indicative of the user's sleep activity during a sleep period, extracting one or more features of the one or more signals, determining a stimulation response including determining whether to vary one or more stimulation response parameters based on the extracted one or more features of the one or more signals, and delivering a stimulation response to the user based on the determined stimulation response including varying the stimulation response by varying one or more stimulation response parameters.

This invention discloses a socialized horticulture intervention and assessment system based on VR technology, specifically relating to the field of auxiliary psychotherapy. The system includes: a label combination space construction module that establishes a three-dimensional coordinate space based on the patient's cognitive, emotional, and behavioral dimensions to form psychological label combination codes; a communication willingness assessment module that calculates the communication willingness score between two collaborating patients; a label graph construction module that constructs a label fit graph based on the communication willingness score to identify conflicting and complementary label relationships; a group reconstruction module that performs patient isolation and collaborative group reconstruction based on the spatial distribution of conflicting labels; a task performance assessment module that combines different collaborative structures and psychological label inputs to construct a task performance assessment model; and an intervention strategy configuration module that, based on the group structure and task node candidate allocation strategy, selects the optimal intervention strategy configuration scheme through the task response parameters output by the model, achieving optimal matching of task structures under individual label guidance.

The embodiment of the invention discloses an authentication data verification method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring authentication data corresponding to an SIM card; sending ciphertext data in the authentication data to an encryption machine, wherein the encryption machine is used for generating a first response parameter of the SIM card according to a decryption result of the ciphertext data; receiving the first response parameter sent by the encryption machine, and obtaining a second response parameter of the SIM card through interaction with the SIM card; and verifying the authentication data by comparing the first response parameter with the second response parameter.

The application discloses a kind of slurry balance shield intelligent decision-making method, system, equipment and medium, it is related to tunnel engineering construction field.The method comprises: according to the initiative control parameter of current driving section shield machine, the geological code in front of tunnel of current driving section and the passive response parameter of current driving section shield machine is predicted by shield response parameter prediction model;According to the geological information code of current driving section, the geometric parameter of current driving section, the technical parameter of current driving section shield machine and surface settlement prediction model, the surface convergence settlement of current driving section is predicted;It is judged whether surface convergence settlement is in set range;If not, the initiative control parameter of current driving section shield machine is regenerated, and the step of predicting the passive response parameter of current driving section shield machine is returned;If yes, further determine the slurry control system parameter of current driving section, and the finally determined parameter is output as suggested driving parameter.The application can realize the decision of shield construction parameter.

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.

The invention provides a shape control method and system for a multi-connecting-rod deformable tent, and relates to the technical field of deformable tent control. The method comprises the steps that parameters of external loads borne by a tent and tent structure response parameters are obtained; identifying a current load mode according to the external load parameters, associating the load mode and the structure response parameters with the current shape of the tent, recording the actual performance of the tent in the load mode, and forming historical performance data; analyzing historical performance data to form a shape selection rule; correcting the shape selection rule according to actual operation feedback after tent shape adjustment; and based on the corrected shape selection rule and the current load mode, generating a control instruction and adjusting the shape of the tent. According to the method, on the premise that structural safety is guaranteed, structural stress is reduced and energy consumption is optimized, the combined action of various loads is effectively dealt with, and the method adapts to performance changes generated by long-term use of tent structural components.

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.

The invention belongs to the technical field of car coupler unhooking, and particularly relates to a car coupler unhooking robot operation self-adaptive control method under multiple working conditions, which comprises the following steps: acquiring a car coupler unhooking original data set of a time dimension and an action stage dimension and carrying out standardization processing; performing multi-modal analysis on the standardized data set, and constructing an execution parameter feature set of the trajectory response parameter, the force feedback parameter and the visual identification parameter; integrating and aligning the execution parameter feature set based on time and action stage dimensions, and generating an execution action feature set; comparing the execution action feature set with a preset ideal strategy parameter set to obtain a simulation deviation data set, and generating a compensation strategy based on the deviation degree and the deviation direction data; adjusting and executing the action feature set through parameter compensation to form an adjusted action parameter set; and a driving instruction is generated through the adjusted action parameter set, the robot is driven to execute unhooking action according to an updated track and a force control and visual following strategy, and self-adaptive adjustment and control precision improvement under multiple working conditions are achieved.

The invention discloses an interface management method and device, electronic equipment and a storage medium, and the method comprises the steps that an interface provider obtains first interface information which is sent by an interface manager and aims at a target interface; the interface provider determines an interface response parameter according to the first interface information, and determines first interface verification information according to the interface response parameter; and the interface provider receives second interface verification information sent by the interface manager, and establishes an interface response with the interface user under the condition that verification of the first interface verification information and the second interface verification information is passed, the problem that an interface user and an interface provider generally independently generate request and response parameters and lack a unified parameter generation rule and an effective verification mechanism in the prior art is solved, and on the basis of ensuring that the parameter generation logic is consistent, the parameter generation efficiency is improved. The security of interface calling, the reliability of communication and the centralized controllability of interface management are effectively improved.

The invention relates to the related technical field of patient service management, in particular to an intelligent interaction method and system for improving hospital patient service and information collaboration, and the method comprises the steps: constructing a three-dimensional feature vector of a hospital service state, deploying a demand guidance response strategy, setting a double-delay gradient under a service collaboration framework, and combining a doctor-seeing constraint condition to obtain a patient service state; and loading the optimized interaction response parameter to a terminal cluster, and configuring a communication interaction protocol and a collaborative semantic mapping rule corresponding to the information collaborative network. The technical problems that an existing service response mode is fixed, it is difficult to accurately mine the coupling relation between patient core demands and medical care resource supply, and a resource scheduling decision lags behind service dynamic change are solved, three-dimensional feature vectors containing patients, medical care and environments are constructed, the coupling relation between patient core demand features and medical care resource supply features is extracted, and the resource scheduling decision is determined to be more accurate. And dynamically deploying the demand guidance strategy and collecting the interaction parameters, thereby improving the response efficiency of the service in the hospital and the information cooperation reliability.

The embodiment of the invention provides an authentication method and device, equipment and a storage medium. The method comprises the following steps: receiving an initial authentication parameter corresponding to an authentication request, wherein the authentication request is used for requesting to log in a target account of an application program; a first parameter type corresponding to the initial authentication parameter is converted into a second parameter type, a target authentication parameter is obtained, the first parameter type is a parameter type corresponding to the webpage view, and the second parameter type is a parameter type of a target authenticator corresponding to the pass key; and through the target authenticator, performing authentication processing on the target authentication parameter to obtain an authentication response parameter of the target account, and based on the authentication response parameter, obtaining an authentication result of the target account. The method can improve the authentication efficiency.

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 invention discloses a performance test method and device of a rear traffic passing prompt system and a storage medium. The performance test method comprises the steps of determining a target test site; the test vehicle and the two shielding vehicles are parked to the corresponding adjacent parking spaces respectively; controlling the test vehicle to reverse towards the test road, and controlling the test vehicle to stop when a second relative distance between the rear end edge of the test vehicle and the rear end edge of the shielding vehicle reaches a first preset distance; based on the target test item, controlling a preset moving target to pass behind the test vehicle along the test road so as to obtain a response parameter of a rear traffic passing prompt system and a relative distance parameter between the preset moving target and the test vehicle; and according to the response parameter, the relative distance parameter and a preset test evaluation condition, the actual performance of the rear traffic passing prompt system is determined, so that the actual performance of the rear traffic passing prompt system is objectively evaluated, and the accuracy and authenticity of system evaluation are improved.

The invention discloses an electric vehicle charging load optimization method and system based on an interactive energy mechanism, and the method comprises the steps: collecting the charging demands and response parameters of a user, building a nonlinear optimization model with the maximization of the comprehensive revenue of a service provider as a target, carrying out the linearization of the model through reconstructing a normalized multi-parameter decomposition method, and carrying out the solving, and controlling the power output of the charging pile according to the result, and monitoring the power grid and vehicle state dynamic optimization in real time. The constraint condition covers the charging power, the state of charge, the power balance and the like. The interactive energy mechanism establishes a linear relation between the power reduction amount and the market clearing price through the maximum response compensation price parameter submitted by the user, and charging flexibility adjustment is achieved. The system comprises a data acquisition module, a model establishment module, a conversion module, a solving module and a control feedback module. The method improves the distribution uniformity of the power grid load, reduces the calculation complexity, balances the benefits of service providers and users, and is suitable for an electric vehicle charging load optimization scene.

The invention relates to the technical field of rehabilitation medical treatment and human-computer interaction, and discloses a rehabilitation method for senile osteoporosis with cognitive impairment based on augmented reality. The method comprises the steps that movement and physiological data of a patient are collected, a synchronous calibration signal is obtained through a fusion algorithm and Kalman filtering, and a virtual and real environment deviation value is determined in combination with the rehabilitation progress and pain feedback; optimizing response parameters and real-time force feedback parameters of the virtual scene through an adaptive adjustment mechanism, and extracting dynamic demand characteristics of the patient; fusing the dynamic demand features, audiovisual, tactile and interaction delay data through a convolutional neural network to obtain a virtual-real interaction feedback sequence; and generating virtual scene update data and an auxiliary device supporting force simulation value based on the sequence, and synthesizing a rehabilitation training output signal. According to individual requirements of patients, accurate virtual environments and interactive feedback are provided, dynamic accurate matching of virtual and real environments and real-time adaptation of multi-modal feedback in rehabilitation training are achieved, and the immersion feeling and rehabilitation effect of training are improved.

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.