254 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 provides a servo system optimization method and system based on algorithm control, and relates to a motor control technology, and the method comprises the steps: firstly obtaining a real-time dynamic response parameter set during the dynamic operation of a servo device, covering inertia delay, torque fluctuation and position deviation parameters, and a corresponding optimization demand set, including optimization demands for each parameter; performing multi-level control signal generation on the real-time dynamic response parameter set according to the optimization demand priority, generating a control signal sequence set matched with a first compensation signal, a second compensation signal, a third compensation signal and the like, inputting the control signal sequence set into an execution mechanism, and driving the execution mechanism to dynamically respond according to an updating track, and finally, the control signal sequence set is optimized according to a feedback signal set generated by an execution mechanism, so that operation parameters of the servo device can be comprehensively considered, control signals are generated in a targeted manner, dynamic adjustment and optimization are realized, and the performance of the servo system is effectively improved.

The invention discloses a method for testing the dynamic response characteristic of a power supply by simulating the load change of the power supply, and relates to the technical field of power supply testing, and the method comprises the steps: generating a simulation load change sequence based on a preset load change mode, and enabling each load value to correspond to a specific time point; inputting the simulated load change sequence into the power supply to be tested, and controlling the power supply to be tested to work according to the simulated load change sequence by using the multi-channel synchronous test system so as to simulate the load change in the actual use process; a high-precision data acquisition module is used for acquiring and recording output voltage values, output current values and corresponding timestamps of the to-be-tested power supply under different load conditions at a sampling rate not lower than a first set value, and a dynamic response data set is formed; and processing the dynamic response data set by using a preset data calibration algorithm, and calculating dynamic response parameters of the to-be-tested power supply at each load change point. The motor power supply testing device has the effect of improving motor power supply testing precision.

The invention discloses a road protection multi-scene coupling simulation method and system based on digital twinning, and relates to the field of electric digital data processing, and the method comprises the steps: collecting dynamic response data (strain, acceleration and displacement) of a traffic protection facility through multiple sensors, and building a scene feature library containing vehicle collision, wind load and seismic waves; and projecting response data to a unified time axis, identifying a multi-scene overlapping interval, and determining an action sequence and duration. Primary and secondary scenes are judged according to scene action parameters, and mechanical correction values and standard response parameters are extracted. And establishing a digital twinborn model for coupling simulation to obtain a stress distribution condition, evaluating a structural damage level and generating a safety performance report. By implementing the method, the deviation between the mechanical property simulation result of the protection facility and the actual working condition can be reduced.

The invention discloses an accident early warning analysis method and system based on driving data, and relates to the technical field of accident early warning analysis, by extracting a road condition complexity coefficient Cen, a sight distance chaos coefficient Cvs and a dynamic interference coefficient Cdn, the system not only considers the current state, but also analyzes the dynamic interference characteristics of the current state when modeling the external environment, so that the accident early warning analysis accuracy is improved. And the system still has high reliability in the scenes of rain and fog, night, congestion and the like. The comprehensive score value Srisk is not single binary judgment any more, multi-factor fusion interpretation is carried out in combination with information such as operation disturbance, posture deviation and fatigue indexes, a response result WIN with grading characteristics is output, and multi-level early warning from voice reminding to active intervention can be achieved. And the dynamic feedback optimization module constructs a risk response parameter psi stab according to a score fluctuation trend, dynamically adjusts a weight coefficient omega j of the multi-modal model, generates a new coefficient n omega, and realizes self-parameter adjustment and adaptive reinforcement learning.

The invention discloses an intelligent water supply management system and method based on wind-light-water multi-source data fusion, and relates to the technical field of electric digital data processing. The system comprises a time alignment deviation quantification module, a time alignment regulation and control module, a data fusion timeliness response quantification module and a timeliness response regulation and control module. According to the method, the time alignment deviation quantization result is obtained by quantizing the multi-source data time parameters, whether time alignment regulation is carried out or not is judged, if yes, the timeliness response parameters are obtained after regulation, and if not, the timeliness response parameters are directly obtained and quantized to obtain the data fusion timeliness response quantization result; and whether PLC scanning interval regulation and monitoring verification are carried out or not is judged based on the data fusion timeliness response quantification result, so that the timeliness of water supply management demand response is improved, and the problem that in the prior art, the water supply management execution response flexibility is poor due to the fact that the time difference of multi-source data processing is not fully considered is solved.

The invention discloses a building structure anti-seismic toughness optimization method and system based on deep learning, and relates to the technical field of anti-seismic toughness optimizing.In operation of the system, a sensing network is deployed, multi-dimensional dynamic response parameters in the vibration process of a building structure are collected, preprocessing and sliding window characterization are carried out on a collected parameter set, and the anti-seismic toughness of the building structure is optimized; encoding the input tensor TXF, extracting a deep space-time coupling feature generation coefficient, performing multi-dimensional composite calculation on an anti-seismic stress energy coefficient SEC, a response co-motion coefficient RSC and a damage evolution index DEI to generate a system-level evaluation core index toughness spectrum evolution index REX, and comparing the toughness spectrum evolution index REX with a preset threshold value to obtain the evaluation core index. Grading and risk positioning are carried out on the current state of the building structure, a generated control strategy is sent to an execution layer, a damping adjusting device, a shock insulation layer controller or component repairing equipment is linked to complete structure regulation and control, and response is carried out after real-time acquisition and optimization.

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 a response characteristic calibration method, device and equipment of logging equipment and a storage medium. The method comprises the following steps: carrying out two-parameter response modeling on key parameters of logging equipment, and constructing a pressure-fluidity coupling response model; data acquisition parameters and signal filtering parameters of logging equipment are configured in a partitioned manner, and a multi-layer response parameter set is established. And processing the logging pressure and fluidity data sequence to obtain a logging data deviation characteristic spectrum and a response anomaly type matrix. And performing multi-target parameter optimization calculation on different layers of response parameter sets to generate a layered calibration parameter sequence. The layered calibration parameter sequence is analyzed, response benchmark analysis, response gain analysis and response compensation analysis are achieved, and a multi-layer response calibration instruction is obtained. And the calibration instruction is subjected to a comparison test under three working conditions, and a pressure-fluidity two-parameter calibration curve is generated. According to the method, accurate calibration of the logging equipment under various working conditions is realized, and the reliability of a calibration result is ensured.

The invention relates to an LED display screen fault detection method and device, equipment and a medium. The method comprises the following steps: in response to an obtained fault detection instruction, sending a preset standardized excitation pattern sequence to a target LED display screen, and synchronously generating a response acquisition instruction; obtaining response data, and binding the response data with the excitation frame number of the standardized excitation pattern sequence to obtain a response parameter; the response parameters comprise excitation frame numbers, thermal imaging data, actual display response images and electrical parameters; performing feature extraction on the response parameter to obtain a multi-source feature vector; the multi-source feature vector comprises a response feature and a time sequence feature; fault type classification and early warning prediction are carried out according to the multi-source feature vectors, and a detection result is obtained; the detection result comprises the risk level, the current display screen type and the corresponding probability. The method can effectively solve the problems of single perception information, lack of prediction capability, high false alarm rate and the like of a traditional method, and fault detection and fault risk assessment are carried out on the LED display screen.

Systems and methods for managing cybersecurity for an entity are disclosed. An example method includes providing a content portal to a user configured to display a security risk profile via a generated GUI; receiving, via the generated GUI, a first input from the user comprising a selection of a component identified in the security risk profile and a response parameter; providing, via the generated GUI, parameters for a targeted scan of the selected component; receiving, via the generated GUI, a second input from the user comprising a selection of a confirmation of the parameters; identifying a vulnerability associated with a first property or a second property from device connectivity data based on the parameters; initiating the targeted scan of the selected component associated with the vulnerability; determining a result of the targeted scan; updating the security risk profile; and updating a multi-dimensional score based on the updated security risk profile.

The invention relates to the technical field of report generation, in particular to an enterprise business report generation method and system based on a large model. The method comprises the following steps: acquiring component operation state data and production plan data of industrial equipment; performing master-slave relation division on internal components of the equipment according to the component operation state data, designating a driving device as a master component, designating a transmission component and an execution component as slave components, and constructing a component transfer chain relation graph; monitoring operation state parameters of the main component in the component transmission chain relation graph; extracting the master component of which the fluctuation of the operation state parameter exceeds a preset threshold value, and measuring the response parameter change condition of the connected slave component; and generating abnormal transmission confirmation data according to the response parameter change condition. According to the invention, based on abnormal transmission characteristics between components, early fault identification and propagation path tracking are realized, and a problem source is found before fault expansion.

The invention discloses a multi-mode cooperative tractor intelligent chassis control method and system, and the method comprises the steps: obtaining visual image data, chassis pressure data and position coordinate data, carrying out the data fusion of the above data, and constructing an environment state matrix; determining the type of an obstacle according to the environment state matrix, obtaining an obstacle characteristic parameter set, calculating the collision risk of the tractor and the obstacle, and calculating a risk coefficient; if the risk coefficient is larger than a preset safety threshold value, the suspension rigidity and the damping coefficient are calculated according to the obstacle type and the topographic features, and suspension control parameters are obtained; and acquiring ground surface hardness data of a to-be-operated area, adjusting the suspension control parameters according to the ground surface hardness data, and generating a chassis response parameter set. The problem that chassis parameters of a tractor chassis cannot be adaptively adjusted in complex terrains is solved, and the effects that the chassis parameters of a tractor are automatically adjusted according to real-time data, and the operation efficiency and safety are improved are achieved.

A pike racket with a centralized core includes a plate body having a core, a frame and two surface layers, the frame is disposed around the core, the plate body defines a first ball-hitting response portion and a second ball-hitting response portion corresponding to the core, the first ball-hitting response portion is located at a central portion of the core, and the second ball-hitting response portion is located at a central portion of the core. The first ball hitting response part and the second ball hitting response part respectively have a first response parameter and a second response parameter which are different from each other, the two surface layers are respectively assembled on the core and the frame at intervals, and the two surface layers correspond to the first ball hitting response part and the second ball hitting response part. Therefore, through the combination of the first ball hitting response part and the second ball hitting response part with different response parameters, deformation is easy to realize, so that the time of the Pick ball staying on the plate body can be controlled, and the rotating force of the plate body on the Pick ball can be controlled.

The invention discloses a multi-split air conditioning system controller hardware test method, and relates to the technical field of intelligent control system test and fault diagnosis, and the method comprises the steps: collecting the historical fault data of an industrial master controller, combining the dynamic load parameters of a multi-split air conditioning system, and obtaining a dynamic fault signal set through a generative adversarial network; fault signals in the dynamic fault signal set are injected into an industrial master controller of the multi-split air conditioning system, and a mapping data set containing time-fault type-response parameters is generated; and performing anti-fact analysis and causal graph modeling on the mapping data set through a causal inference engine, generating a probabilistic causal chain of the fault propagation path, and identifying a high-risk causal chain. According to the invention, the authenticity and diversity of fault signals in the controller test are improved, and the stability and reliability of the multi-split air-conditioning system controller under complex working conditions are also improved.

The invention relates to the field of man-machine interaction, and discloses an intelligent self-adaptive keyboard user health protection method and system, and the method comprises the steps: obtaining a pressure distribution map of a target user during the input of a self-adaptive keyboard, analyzing the joint accumulated stress, constructing a joint stress accumulation curve, extracting a fatigue response parameter, calculating the keyboard layout adaptation degree, and obtaining the fatigue response parameter. The method comprises the following steps of: simulating a muscle-bone injury accumulated value in a long-term input scene according to a layout adaptation degree, constructing a key travel adjustment data cluster, then integrating the data cluster and a preset rhythm feedback mechanism, generating a rhythm optimization target, calculating a collaborative vector value, in addition, identifying a local fluctuation state of a key area based on a health loss index, extracting a key fluctuation factor, and finally obtaining a key travel adjustment result. And analyzing and correcting the priority item, and finally generating an adaptive keyboard health protection scheme exclusive to the target user. The health risk caused by long-term use of the keyboard can be reduced.

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 relates to the technical field of touch screens, and discloses a multi-touch mode switching method, device and equipment for a touch screen, and the method comprises the steps: carrying out the minimum error processing of a touch signal collected by a touch screen, and obtaining a target feature component; inputting the target feature component into a multi-layer touch mode classifier for feature mapping to obtain a current touch mode feature; performing attenuation characteristic analysis and adaptive threshold adjustment on the target characteristic component to obtain a state transition parameter; carrying out delay response modulation and regularization zero interference on the response time, the response intensity and the response area of the touch point to obtain screen response change characteristics; performing fuzzy logic decision of a continuous sampling period to obtain a touch mode switching feasibility judgment result; the closed-loop control is performed on the response parameter of the touch screen to obtain the mode switching delay compensation control quantity, so that the reliability of touch mode switching is improved, the false triggering phenomenon is avoided, and the response delay in the mode switching process is remarkably reduced.

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.

The invention relates to the technical field of electrical parameter testing, in particular to an automatic testing system and method for a microwave component, and the system comprises a node density recognition module, an energy level regulation and control module, a matching gradient extraction module, a dynamic test execution module and a calibration path switching module. According to the method, three-dimensional state coordinates are constructed through frequency injection response, and density classification labels are established by taking frequency block division as units, so that frequency domain state evolution has a visual identification basis, and then signal combination screening is performed through a minimum difference value and a maximum change rate of response fluctuation amplitude and phase deviation dynamic states. Adaptation of excitation granularity and energy levels of different frequency bands is completed, the problem of insufficient resolving power in previous frequency domain response adjustment is solved, step-by-step tuning of a microstructure device is executed in combination with judgment of a path frequency stepping direction and a response gradient direction after signal parameter matching, continuous acquisition of response parameters is ensured, and the accuracy of frequency domain response adjustment is improved. And path offset caused by misjudgment of the tuning direction is avoided.

The invention relates to the technical field of bulk grain pneumatic conveying, discloses a control method and device of a bulk grain pneumatic conveying system and electronic equipment, and aims to solve the problem that an existing control scheme is poor in effect of reducing the breakage rate of bulk grains. According to the scheme, the method mainly comprises the steps that a sparse nonlinear dynamics recognition model is trained according to control parameters of the bulk grain pneumatic conveying system and corresponding response parameters, wherein the response parameters at least comprise the bulk grain breakage rate; when the bulk grain pneumatic conveying system is used for conveying bulk grains, model prediction is used for controlling at each moment, and response parameters of future moments are predicted based on a sparse nonlinear dynamics identification model; solving by using an optimization algorithm to obtain an optimal control parameter sequence at the current moment, wherein the optimization target is that the broken rate of the bulk grains is minimum; and the control parameters of the bulk grain pneumatic conveying system are adjusted to be the first set of optimal control parameters in the optimal control parameter sequence. The control precision is improved, and the bulk grain breakage rate in the pneumatic conveying process is remarkably reduced. The device is suitable for bulk grain conveying.

The invention relates to the technical field of electromagnetic directional valve control, and discloses an electromagnetic directional valve remote control system and a data processing method, and the system comprises a control instruction receiving and analyzing module, a dynamic response parameter determining module, a state data collecting and uploading module, a state data analyzing module and a control signal executing module. The method comprises the following steps: receiving a remote terminal reversing control instruction, and analyzing the instruction into adjustment parameters such as action times, switching directions and pressure thresholds; determining dynamic response parameters of a control node based on the parameters, executing adjustment, and collecting state data such as current and magnetic flux; uploading the data to an edge calculation unit, and generating a pulse width modulation correction value of the first control node through data fusion, frequency domain correlation analysis, wavelet domain dynamic compensation aggregation and other processing; and the parameters are transmitted to the fuzzy controller to calibrate the driving circuit parameters. The method improves the remote control precision and stability, and is suitable for industrial automatic intelligent control.

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 invention discloses a packet communication method and device based on script configuration and a medium. The method comprises the following steps: configuring different scripts according to different project types; the script is installed in the current POS machine; the upper computer sends the request message to a protocol analyzer through a channel; calling a target communication protocol parser to parse the request message to obtain a request text; calling a target text protocol parser to parse the request text to obtain a request parameter of the upper computer; converting the request parameter of the upper computer into a request parameter of the POS machine, and sending the request parameter to the POS machine for processing; the POS machine converts the response parameters of the POS machine into response parameters of the upper computer according to the transaction instruction in the script; the response parameters of the upper computer are packaged into a response text through the target text protocol analyzer; and packaging the response text into a response message through the target communication protocol analyzer, and sending the response message to the upper computer through a channel. According to the method, the working efficiency is greatly improved, and the program stability is improved.

The invention discloses a fault diagnosis system and method for a regulating valve, and the system comprises a power detection module which is used for obtaining a power parameter of a driving execution mechanism; the valve position feedback module is used for acquiring execution parameters of the execution structure for driving the regulating valve; the instruction acquisition module is used for acquiring a control instruction of a control end and diagnosing a test instruction; the diagnosis test instruction is used for the valve positioner to execute setting operation; the setting module is used for acquiring a diagnosis test instruction and executing setting operation, and acquiring behavior parameters in the setting operation process to generate fault mapping for diagnosis; and the analysis module is used for acquiring response parameters generated by responding to the control instruction during actual operation, and obtaining fault information based on fault mapping comparative analysis.

The invention discloses a joint quantification method and system for flexibility of an adjustable energy system in a building. The method comprises the following steps: establishing an adjustable energy system simulation platform; flexible response parameters are input into the simulation platform, parallel simulation is carried out on the baseline working condition, the independent response working condition and the combined response working condition, and simulation data corresponding to each working condition are obtained; comparing energy consumption parameters in the simulation data under other response working conditions by taking the simulation data of the baseline working condition as a reference, and segmenting time periods; respectively calculating flexibility parameters of each system under each response working condition according to the segmented time periods; and the gain rates of the flexibility parameters of the air conditioning system under the two response working conditions serve as joint effect indexes. According to the method, a set of building energy flexibility quantification framework for two systems is adopted, and multi-dimensional quantitative characterization is carried out on the joint effect. And the dynamic power change of the air conditioning system under the internal disturbance flexible action can be reflected.

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.