29results about How to "Implement fixes" patented technology

The invention discloses an electromagnetic wire self-adhesion performance data acquisition and intelligent analysis method, and relates to the technical field of data analysis. Multi-source data such as turn-to-turn gap, paint layer residual thickness, tension fluctuation and conduction state are synchronously acquired in the winding process; and analysis mechanisms such as a gap reduction rate, paint layer thinning distribution, a synchronous evolution track and a gap strength response curve are introduced, so that continuous modeling and quantitative characterization of the autohension performance evolution process are realized. Compared with the prior art which only depends on a single gap threshold value or a post mechanical test to judge the bonding performance, the method can be started from a complete physical chain from gap change to paint layer extrusion to metal contact to bonding failure, and the change trend of the bonding performance under different gap levels can be accurately revealed; and tension output is corrected in real time through a self-adaptive algorithm, closed-loop optimization of the bonding quality is achieved, and the product percent of pass and the production efficiency are improved.

The invention relates to a photomask pattern correction method and device, electronic equipment, a storage medium and a program product. The method for correcting the photomask pattern comprises the steps that an original photomask pattern is obtained, the original photomask pattern comprises a target area, and the target area is an area influencing photomask limitation; the original photomask pattern is subjected to optical proximity effect correction, a corrected photomask pattern is obtained, and in the corrected photomask pattern, the target area is a blank area not including the pattern. According to the technical scheme, on the basis of eliminating photomask limitation and enabling the contour of the photomask pattern to converge, effective correction of the photomask pattern can be realized.

The application relates to a kind of automatic cutter setting method and system based on machine vision, belong to milling cutter setting technical field.The method first locates the initial position coordinate of milling cutter, and plans the initial cutter setting path of milling cutter in combination with target cutter setting position coordinate;Then the image of milling cutter in initial cutter setting path is acquired to carry out image denoising and image deblurring processing, after obtaining second image, carry out edge detection, extract the edge profile of milling cutter, and calculate the edge point subpixel coordinates of profile to carry out parameterized fitting, obtain current milling cutter position and milling cutter attitude;And the initial cutter setting path, the wear degree of milling cutter, current milling cutter position and milling cutter attitude are input into error prediction model, and the current motion error of milling cutter is predicted;According to the current motion error of milling cutter, the path compensation amount is calculated, and the cutter setting path of milling cutter is adjusted according to the compensation amount.The application can reduce the interference of milling cutter motion blur and environmental factors, realizes the quantitative adjustment and correction of milling cutter setting.

This invention relates to the field of book digitization and copyright management technology, and discloses a method and apparatus for intelligent recognition and structured information extraction of book copyright pages. The method includes: acquiring raw image data and performing preprocessing; locating multiple key regions using a target detection model; extracting text strings and recognition confidence scores using a sequence recognition model, executing a first feedback loop; if the recognition confidence is low or the semantics are incomplete, then performing adaptive adjustment of region coordinates; for text that passes the first loop verification, performing post-processing verification based on preset rules; if the post-processing verification fails, then activating a second feedback loop, locating potential erroneous characters and performing constrained re-recognition to correct character-level recognition errors; finally, integrating and storing the corrected text that passes all verifications. This invention significantly improves the accuracy, robustness, and automation level of information extraction by setting up dual dynamic correction loops for different error types.

The application discloses a kind of barometric altitude dynamic correction method based on airborne data.First, the sliding window parameters are screened using recursive feature elimination method, and then the sliding window is initialized and updated;Clean the sliding window data, first determine whether the sliding window data is null, then correct;For the data fusion multiple methods to detect outliers and correct after completing null judgment and correction;Construct the LSTM model and optimize the sliding window size, select the window size of the best performance indicator, use the LSTM model to correct the barometric altitude dynamically.This method has the characteristics of high precision, strong real-time, etc., improves the deficiency that the existing method can only correct the barometric altitude at a specific location, realizes the dynamic correction of barometric altitude in the whole approach process, improves the obstacle safety under low temperature conditions, at the same time, has the ability to correct the barometric altitude under high temperature conditions, and can be widely used in flight operation using barometric vertical navigation program.

The present application relates to medical image processing technology, disclose a kind of for rib segmentation post-processing method and system, its method includes: for rib image is carried out segmentation processing, obtain segmented rib image;To the rib image after processing is post-processed, obtain the segmented rib image after processing, by the extraction of skeleton to segmented rib image;Through the skeleton length statistics of rib of the skeleton extracted, and based on the skeleton length of statistics carries out the determination of rib connection;For the result of rib connection is through the construction energy function, carries out the correction of rib connection.The present application uses statistics and constructs energy function, locates connected rib and matches the same rib spine end and thoracic end, realizes the correction of connected rib.

The invention discloses a generator-transformer unit intelligent fault diagnosis and tripping control method, system and device based on double microcomputer protection and a storage medium, and relates to the technical field of generator-transformer unit microcomputer protection and intelligent control. Constructing a multi-dimensional non-electric quantity sensing system based on the standardized electric quantity data, performing synchronous alignment and logic fusion on electric quantity and non-electric quantity signals by using a communication model, and outputting a state data set; the method comprises the following steps: performing intelligent fault identification and self-adaptive criterion generation, determining fault types, ranges and confidence coefficients, calling the self-adaptive criterion to establish hierarchical tripping and delay control logic, mapping fault levels into quick-break, delay and trend three-level action channels, and performing multi-source criterion collaboration and shunt output control through an arbitration mechanism among double devices. According to the method, the threshold value and the time delay can be dynamically adjusted according to different operation conditions, and accurate judgment of the fault type, the fault range and the confidence coefficient is achieved.

The utility model discloses a solar tracking dolly based on composite transmission, comprising a dolly body and a dolly housing, the dolly housing is provided with a solar panel, when the dolly is under the condition of sufficient illumination, the solar panel converts light energy into electric energy and stores the electric energy in a capacitor bank; after being electrified, the trolley starts from the departure position determined by the positioning tail wing and runs according to a specified route, a motor is arranged in the trolley body, and a transmission structure is further installed in the trolley body. The transmission structure comprises a fixed shaft mounted on the lower surface of the vehicle body, a driven shaft mounted in the vehicle body, a one-way bearing mounted on the driven shaft, a gear transmission mechanism between a motor output shaft and the driven shaft, and a belt wheel transmission mechanism between the driven shaft and the fixed shaft; gear transmission, belt wheel transmission and cam transmission are combined together, the cam is directly driven by the first driven flange synchronizing wheel on the driven shaft, the left wheel is completely driven by means of inertia, the energy utilization rate of the trolley is further increased, and the continuous operation time of the trolley is further prolonged.

The present application provides a kind of sedimentation tank sludge quantity prediction system and method, it is related to sedimentation tank sludge control technical field, comprising: for each sedimentation period of sedimentation tank, at least one group of historical water inlet parameters and corresponding historical sludge-water interface height in non-sludge discharge period are obtained respectively, and total actual sludge production after sludge discharge period ends and corresponding total sludge-water interface height;According to each historical sludge-water interface height, total actual sludge production and total sludge-water interface height, the real-time actual sludge production corresponding to historical water inlet parameters is obtained by processing;Real-time water inlet parameters are obtained as input, and the sludge quantity prediction model corresponding to the real-time actual sludge production as output is trained;A group of real-time water inlet parameters of sedimentation tank in non-sludge discharge period is obtained, and real-time water inlet parameters are input into sludge quantity prediction model, to obtain the sludge quantity prediction result of sedimentation tank.The beneficial effect is that the real-time sludge production of sedimentation tank can be effectively predicted;Self-adaptive training and correction of sludge quantity prediction model can be realized.

This application relates to a flow measurement method, apparatus, computer equipment, storage medium, and computer program product. The method includes: when the error of the flow measurement result exceeds the allowable error range, adjusting the flow measurement pipeline to a first state where it is filled with liquid and the liquid is stationary; performing zero-point calibration on the flow measurement parameters based on the first state to obtain zero-point calibration parameters, so that the flow velocity measurement result obtained based on the zero-point calibration parameters in the first state is zero; adjusting the flow pipeline to a second state where it is filled with liquid and the liquid is flowing, and obtaining the instantaneous flow velocity measurement result in the second state; obtaining the full-scale coefficient in the flow measurement parameters, and obtaining a corrected full-scale coefficient based on the instantaneous flow velocity measurement result and the cumulative flow of the liquid during the sampling period; and measuring the flow rate of the liquid in the pipeline based on the corrected full-scale coefficient and the zero-point calibration parameters to obtain the measurement result. This method can achieve accurate measurement of the flow rate of fluid in a pipeline.

The invention relates to a conducting strip pressing force control method suitable for an automobile connector and a related device, and the method comprises the steps: obtaining motor current data and motor position data, generating a first force estimation value and a second force estimation value through a first calculation path and a second calculation path, calculating the instantaneous deviation of the first force estimation value and the second force estimation value in real time, and transmitting the instantaneous deviation into a fast feedback loop and a slow feedback loop; the fast feedback loop generates a short-term correction value to dynamically compensate the first force estimation value; the slow feedback loop accumulates the instantaneous deviation to generate a long-term drift distance, and when the long-term drift distance meets a preset aging judgment condition, self-adaptive updating of a reference force-displacement model or a first calculation path is triggered; and outputting the dynamically compensated first force estimation value as a final pressing force control instruction. According to the invention, while high-resolution dynamic response is realized, short-term drift can be corrected through a stable reference, and the reference has self-adaptive capability so as to compensate long-term drift caused by equipment aging.

The application discloses a manned-unmanned aircraft cooperative operation formation collision avoidance control method, and belongs to the technical field of aircraft cooperative control; the method adopts a hierarchical architecture separating performance layer and safety layer: the performance layer generates nominal instructions for tracking operation slots by model predictive control; the safety layer filters threats in real time based on collision cones, and converts collision avoidance conditions into linear inequality constraints about unmanned aircraft acceleration by using control barrier functions. By setting hierarchical safety parameters for unmanned aircraft-manned aircraft interaction and unmanned aircraft-unmanned aircraft interaction, and imposing hard constraints on the former and soft constraints that can be relaxed on the latter in solving, the absolute safety priority of manned aircraft is ensured. The application realizes effective decoupling of high-performance formation tracking and real-time autonomous collision avoidance, improves the real-time performance and reliability of the system while ensuring safety, and is suitable for large-scale cooperative operation tasks.

The invention relates to the technical field of electronic data processing, in particular to a multi-task real-time operating system scheduling optimization method for a PPEC controller. The method comprises the following steps: constructing a physical time snapshot of interrupt response by using a hardware timer and a direct memory access unit, and collecting entry and exit moments when a rigid control task is interrupted by a non-control task; calculating time debt based on the interruption physical duration, constructing a space-time mapping model in combination with the power grid reference angular frequency, and converting the time debt into a phase lag angle of a voltage space vector; and comparing the time debt with an atomic operation time threshold value, dynamically switching to a compression mode or a fusing mode according to the time debt and the atomic operation time threshold value, and executing task scheduling according to the selected mode. According to the method, the time drift is mapped into the vector phase error of the physical layer, so that the problems of waveform distortion and control divergence caused by sudden interruption are solved, and the physical synchronization of control is ensured.

The utility model discloses a crane trolley with a stroke calibration function, which belongs to the technical field of cranes and comprises a traveling mechanism and two track assemblies, the two track assemblies are arranged on the upper portions of two sides of a working space along the front-back direction, and rollers are arranged at two ends of the traveling mechanism. And rollers at two ends of the walking mechanism are respectively matched with the corresponding track assemblies. During normal use, when the crane trolley moves back and forth through the walking mechanism and passes through the feedback assembly, the position sensor on the walking mechanism generates a position signal A under the feedback of the feedback assembly, and the position signal A is input into the central processing unit; the central processing unit compares the position signal A with an instantaneous position signal B of the crane trolley generated by the absolute value encoder, and corrects the position signal B to be consistent with the position signal A; the position of the crane trolley is repeatedly calibrated in the working process, and the problem that the position signal B has an error due to the fact that the rollers slip is avoided.

The present application relates to a kind of transformer insulating oil photoacoustic spectrum online monitoring system, belong to power equipment condition monitoring and fault diagnosis technical field.The system includes oil-gas separation unit, photoacoustic spectrum detection unit, signal acquisition and preprocessing unit, feature extraction unit, intelligent diagnosis and early warning unit, temperature compensation unit, pressure compensation unit, data storage and management unit and remote communication and display unit.Feature extraction unit extracts gas concentration, change rate, component ratio and spectral waveform etc multidimensional features;Intelligent diagnosis and early warning unit is built in graph neural network fault diagnosis model and time series trend prediction model, realizes fault identification and risk early warning;System also constructs the linkage closed loop of diagnosis result drive oil-gas separation parameter and detection parameter dynamic adjustment, and combines temperature pressure adaptive compensation.Realize the high-precision online monitoring and intelligent diagnosis of dissolved gas in transformer oil, significantly improve the accuracy of fault identification and the timeliness of early warning.

The application discloses a water supply plant water supply amount prediction model training method and device, and particularly relates to the field of water supply amount prediction, and comprises constructing a main channel data set, wherein the main channel data set comprises time characteristics, meteorological characteristics, working condition characteristics, hydraulic internal characteristics and hydraulic external characteristics; a shadow twin data set is synchronously constructed, the shadow twin data set is generated according to a hydraulics balance equation and historical stable data, and is aligned with the main channel data on the same time axis; correlation screening is performed on the main channel data, and features with a correlation coefficient lower than a preset threshold value are deleted. Through the construction of the double-channel structure of the main channel data set and the shadow twin data set in the training process, and the combination of the global offset index checking and the cyclic mechanism of the recursive feature elimination, the identification and correction of the overall error caused by the multi-sensor linkage offset are realized.

The invention discloses a test optimization method for a shimmy damper, and the method comprises the steps: simulating the working state of the shimmy damper, and obtaining the test results of a damping performance test, a high-frequency fatigue test, a sealing performance test and a running-in test of the shimmy damper; and determining the linear stiffness in the X and Y directions and the torsional stiffness in the Z direction. All parameter variables influencing the performance of the shimmy damper are collected, corresponding test performance is obtained, and key parameter variables are determined based on the random forest model; and predicting the performance of the shimmy damper based on the key parameter variables, and obtaining an optimal key parameter combination through a genetic algorithm based on the error between the predicted performance of the shimmy damper and the actual test performance, the constraint condition and the optimization target. According to the method, performance prediction and correction of the shimmy damper at the beginning of design can be achieved, the design period is shortened, and good practicability is achieved.

The application discloses a sluice passing flow correction method, device, medium and product, relates to the technical field of hydraulic data correction, and the method comprises the steps of: determining the predicted value of the passing flow at the current moment based on the water level difference between the upstream and downstream at the current moment by using an empirical formula of the passing flow; determining the neighbor normalized relative deviation set at the current moment based on the water level difference between the upstream and downstream at the current moment and the optimal water level difference radius; determining the probability prediction value corresponding to each neighbor normalized relative deviation in the neighbor normalized relative deviation set at the current moment by using a probability prediction function; determining the error correction value at the current moment based on the probability prediction value corresponding to each neighbor normalized relative deviation in the neighbor normalized relative deviation set at the current moment by using an error correction formula; and determining the correction value of the passing flow of the sluice at the current moment based on the predicted value and the error correction value of the passing flow at the current moment. The application realizes the correction of the passing flow of the sluice.

This invention discloses a thermal insulation and corrosion-resistant insulated pipe bypass device and method, belonging to the technical field of adhesion control and bypass path planning for pipeline traveling devices. It includes: S1, a ring-shaped frame, a sensing arm, a first drive wheel system, a first clamping mechanism, a three-dimensional sensor, an inertial measurement unit, a sensing wheel, a high-resolution encoder, a first torque meter, a second torque meter, and a controller. The sensing arm is connected to the front end of the ring-shaped frame in the traveling direction via a flexible hinge. The first drive wheel system, the first clamping mechanism, the three-dimensional sensor, and the inertial measurement unit are mounted on the ring-shaped frame. The first torque meter is integrated into the output shaft of the first drive wheel system. This invention's forward-looking adhesion feedforward control allows the device to anticipate sudden changes in friction on the pipe surface, overcoming the slippage problem that is difficult to avoid with traditional methods relying on hysteresis slip rate feedback, and improving the device's stable adhesion capability on sudden low-friction pipe surfaces.

The invention relates to the technical field of carbon emission calculation, in particular to a building construction engineering carbon emission calculation method and system.The building construction engineering carbon emission calculation method comprises the following steps that a fuel consumption rate and a load curve are obtained through monitoring, operation radius data are collected, a time sequence synchronous data set is generated, parallel process overlapping interval superposition fuel consumption is recognized, and an exceeding part is extracted; the method comprises the following steps: generating an influence coefficient for an operation radius geometric intersection, correcting fuel consumption, calculating a carbon emission amount, carrying out proportional adjustment to obtain a correction result, summarizing, carrying out weighted average to obtain a total emission amount, carrying out decomposition statistics, and calculating a contribution degree to generate a carbon emission list. The parallel operation energy consumption superposition is extracted, the deviation is corrected by combining the radius intersection, the correction result is matched with the working condition through proportional adjustment, the multi-process emission contribution degree is weighted and summarized on the time axis, the result reflects the total amount trend and highlights the key difference, and the basis is provided for emission distribution.

The invention discloses a dual-frequency MIMO mutual coupling removal patch antenna based on a rectangular groove, and belongs to the technical field of antennas for wireless communication. The antenna comprises a 1 * 2 symmetrical antenna unit array which is composed of a top metal layer, a dielectric substrate, a bottom metal layer and a coaxial probe in sequence. Double-frequency rectangular grooves are etched in the upper edges and the lower edges of the two side-by-side rectangular metal patches on the top layer, decoupling rectangular grooves are formed in the two sides of the upper portions of the rectangular metal patches, the decoupling rectangular grooves are formed between the double-frequency rectangular grooves and the feed port, and the coaxial probe penetrates through the substrate and is connected with the patches to form the feed port. Dual-band resonance is achieved through the dual-band rectangular groove, a weak field area is synchronously formed in dual bands through the decoupling rectangular groove to achieve mutual coupling removal of the antenna units, a radiation pattern is corrected at the same time, and the isolation degree and radiation performance of an antenna port are improved on the premise that the patch size is not increased and the low profile is kept; and a new antenna solution is provided for a high-performance wireless communication system.

A dual-motor controlled fastening device with torque recognition includes a PLC, a torque storage module, a torque detection device, a comparator, a first drive motor, and a second drive motor. The torque signal output by the PLC controls the first drive motor to control the torque output of the torque gun. When the comparator determines that the output torque of the first drive motor is abnormal, the PLC controls the first drive motor to reverse and eliminate the abnormal torque, and then starts the second drive motor to continue working. This invention uses a PLC to implement the torque gun circuit control, and the torque detector detects and confirms the torque output value, enabling the system to identify and correct torque, increasing equipment reliability and enhancing equipment intelligence. Simultaneously, using a dual-motor controlled fastening device with torque recognition, through the dual-drive motor mode, reduces the need for a spare torque gun, saves production costs, and improves equipment utilization efficiency.

This application provides a method, system, equipment, and medium for ultra-short-term forecasting of wind power clusters under extreme weather conditions based on Beaufort wind scale, relating to the field of wind power prediction technology. The method includes: dividing wind speed into low, medium, and extreme wind speed ranges based on Beaufort wind scale and wind turbine operating parameters; matching corresponding correlation metrics to each of the three wind speed ranges to perform correlation filtering on wind power station data, obtaining filtered wind power station data carrying wind speed type identifiers; inputting the filtered wind power station data into the corresponding prediction branch according to the wind speed type to obtain initial power prediction features for each range; inputting the wind power features into the corresponding error correction model according to the wind speed type to obtain error correction features for each range; and adding and fusing the initial power prediction features and the corresponding error correction features to obtain the final predicted power. This application can improve the accuracy and stability of ultra-short-term power prediction for wind power clusters under extreme weather conditions.

The invention discloses a long-term semantic VSLAM method and system for dynamic accumulated noise suppression and ghosting elimination, and relates to the technical field of robot visual navigation and map construction, and the method comprises the following steps: collecting a current frame image in the continuous inspection process of a robot, and carrying out the processing of the current frame in the processing of the current frame; semantic mask extraction based on the instance segmentation model and dense optical flow field calculation based on the current frame and the previous key frame are executed in parallel; according to the method, potential dynamic object categories and accurate contours in the images can be recognized by adopting the YOLACT instance segmentation model, the large displacement situation possibly brought by the motion of the robot is coped with by combining a parallel execution optical flow estimation algorithm, semantic understanding of the environment and accurate synchronous capture of motion information are achieved, and the method has the advantages of being high in practicability and high in practicability. And the optical flow generated by the motion of the object and the background optical flow caused by the motion of the camera are effectively distinguished by measuring and analyzing the direction consistency of the optical flow vector, so that the accuracy and robustness of dynamic judgment are improved.

The invention provides a gazing direction estimation method and device, equipment and a storage medium, applied to target equipment, the target equipment is connected with a main view camera and at least one auxiliary camera, the main view camera is arranged facing a user, and the auxiliary camera is arranged facing the gazing direction of the user; the method comprises the steps that a main view image and an auxiliary image are acquired, the main view image is a target face image shot by a main view camera, the target face image is an image of the face of a target user, and the auxiliary image is an image of a target environment shot by an auxiliary camera; performing user gazing direction estimation on the front view image to obtain an initial gazing direction of a target user in the front view image; performing gaze object position estimation on the auxiliary image to obtain an object position of a user gaze object in the auxiliary image, the user gaze object being an object gazed by the target user; and correcting the initial gazing direction according to the object position to obtain a target gazing direction of the target user. According to the technical scheme, fixation point tracking is realized through a common camera, and the application cost is saved.

This invention relates to the field of mechanical engineering and discloses a rapid correction and estimation method for the collision force waveform of a continuous elastic body. Addressing the issue that while the closed-form solution of the collision force pulse obtained under the assumption of a half-period sinusoidal waveform for continuous elastic body collisions has accurate peak value and impulse, it suffers from large errors in waveform and duration. Using the impact of an elastic ball on an elastic plate as the basic physical model, a collision force pulse with a Hertzian contact model is generated, similar to the actual waveform. Then, based on the principle that the peak value and impulse of the collision force pulse remain unchanged, the collision force pulse of the basic physical model is scaled proportionally to obtain a corrected collision force pulse for the continuous elastic body. This corrected pulse has a waveform and duration that are closer to the true waveform, which is significant for improving the prediction accuracy of collision vibration response.

The invention discloses a turbine guide vane upper and lower margin plate inner and outer arc machining device and method.The machining device comprises a base, a centering clamping mechanism and a measuring mechanism, the centering clamping mechanism and the measuring mechanism are arranged on the base, on-machine measurement of the arc faces and the end faces of turbine guide vanes is achieved, repeated clamping of parts and clamping errors caused by the repeated clamping are avoided, and the machining precision is improved. The measurement efficiency and the measurement stability are improved, and the processing quality risk is reduced; in addition, the invention further provides a turbine guide blade upper and lower margin plate inner and outer arc machining method, a formed grinding wheel with the inner circle, the outer circle and the end face shape combined is designed in combination with the part machining angle, the use efficiency of the grinding wheel is improved, the machining feeding frequency is reduced, and the machining cost is reduced. And in combination with the machining device, one-time clamping and measuring in the machining process are achieved, and the machining efficiency is multiplied.

The invention discloses a flexible RF coaxial line feeding device and a using method thereof.The feeding device comprises a stock bin mechanism, a grabbing mechanism and a visual module, and the grabbing operation of the grabbing mechanism is achieved in the downward pressing process; the profiling clamping blocks are pressed downwards by means of the self weight under the overshoot springback effect of the sliding rod, so that the coaxial line in the concave stock bin of the stock bin mechanism is squeezed into the profiling opening, and therefore impact of instant pressure on the coaxial line in the concave stock bin is reduced, and the possibility that the coaxial line is squeezed and damaged due to the fact that the pressure is too large is reduced. A profiling clamping block with a profiling opening and a connecting rod clamping jaw are matched with a telescopic transverse rod which is connected to an opening and closing assembly of a stock bin mechanism and transversely arranged above a clamping position through double clamping under the condition that the visual module recognizes the number and posture of coaxial lines clamped by the profiling opening, and it is jointly guaranteed that the device can grab a single axis.

The embodiment of the invention discloses a verification method and device for a vector retrieval chip based on an RRAM, equipment and a medium, and the verification method comprises the steps: inputting a first test vector into a preset RRAM simulation model, and obtaining a plurality of operation results outputted by the RRAM simulation model; for each operation result, if the operation result is not in the preset first interval, sending a first conductivity adjusting instruction to the preset simulation RRAM model, and returning to execute the operation of inputting the first test vector to the preset RRAM simulation model until each operation result output by the preset RRAM simulation model is in the preset target interval; and performing consistency comparison on the conductivity state change condition of the preset RRAM simulation model in the simulation test process and the conductivity control parameter value in the logic control circuit of the to-be-verified chip so as to perform function verification on the logic control circuit. By adopting the technical scheme, the reliability of the verification result is effectively improved.