131 results about "Mathematical relationship" patented technology

The invention relates to the technical field of ship intelligent navigation and trajectory analysis, and discloses a ship trajectory similarity judgment method and system based on multiple dimensions and dynamic weights, and the method comprises the steps: obtaining load data, real-time navigation parameters and environmental parameters, and generating a load state classification result; calculating according to the load state classification result to obtain an acceleration performance index and a turning radius change trend; establishing a mathematical relationship model according to the load state classification result and the turning radius change trend; generating a dynamic incidence matrix according to the mathematical relationship model and the acceleration performance index; according to the dynamic incidence matrix, dynamically adjusting a weight value of a load state to obtain a weight distribution result; and performing calculation according to the weight distribution result and the real-time navigation parameters to obtain a final similarity judgment result. According to the method, the dynamic association of the ship load state and the trajectory characteristics can be realized, and the weight self-adaptive adjustment is realized in the similarity judgment process.

The invention discloses a method for rapidly evaluating the flexural rigidity of a bridge under vehicle-induced excitation, and belongs to the technical field of flexural rigidity evaluation of variable cross-section beams. The method comprises the following steps of: firstly, acquiring a bridge time-history response by adopting vehicle movement loading, separating a power component by utilizing a VMD method, then identifying a main frequency of an IMF component through FFT, removing the power component higher than a bridge fundamental frequency, and reconstructing a bridge actual measurement quasi-static time-history response; then, an axle effect in bridge actual measurement quasi-static time history response is eliminated, an influence line recognition model is established, and Tikhonov regularization is introduced to further solve a deflection influence line; then deriving an analytic solution of a deflection influence line of the variable cross-section continuous beam based on a virtual work principle, establishing a mathematical relationship between the flexural rigidity and the deflection influence line, and identifying the flexural rigidity of the bridge through the deflection influence line based on the mathematical relationship to obtain flexural rigidity distribution of the full bridge; finally, multiple evaluation indexes are defined and calculated, the bending rigidity distribution of the full bridge is comprehensively evaluated, and the method has the advantages of being good in engineering applicability and high in safety evaluation innovativeness.

The invention belongs to the field of ocean wave feature extraction, and particularly relates to a sea wave feature inversion method based on reverse echo measurement, which comprises the following steps of: acquiring an echo signal from a seabed to an ocean surface, and performing adaptive time window smoothing processing on the echo signal to obtain an echo signal; carrying out abnormal value identification and missing data filling on the smoothed data; removing abnormal values by adopting an improved Tukey method, and filling missing data by adopting a segmented cubic spline interpolation method; through high-pass filtering and detrending processing, sea wave echo signals with low-frequency trends removed are obtained; and selecting a proper time window to calculate the dispersion of echo time, establishing a mathematical relationship between the dispersion and the significant wave height through a regression algorithm, and substituting observation data into an equation to obtain an inversion result of the significant wave height. According to the method, the sea waves are subjected to feature inversion based on the reverse echo measurement technology, the precision of sea wave feature extraction is effectively improved, the field measurement cost is reduced, and the stable and low-cost sea wave measurement method is provided.

The invention provides a pipeline dead zone pickling parameter determination method, medium and system, and belongs to the technical field of pipeline dead zone pickling, and the method comprises the steps: firstly building a pipeline dead zone geometric model, and determining the length, diameter, shape and other characteristics of a dead zone; then defining pickling parameters including acid liquor concentration, temperature, pickling time and related pump power; then, acid pickling effect evaluation indexes are constructed, such as acid pickling uniformity, residual dirt amount and pipe wall corrosion degree; the method comprises the following steps: simulating acid liquid flowing and reaction processes under different pickling parameters by utilizing computational fluid dynamics software, and establishing a mathematical relationship model between the pickling parameters and pickling effect evaluation indexes; on the basis, a multi-objective optimization model is designed, constraint conditions are established by taking maximization of pickling uniformity and minimization of residual dirt amount and pipe wall corrosion degree as objectives, and a plurality of optimal solutions are solved. And finally, through small-scale experiment verification, selecting an optimal solution with an optimal pickling effect as a target solution, and outputting a corresponding optimal pickling parameter.

The invention discloses an MIMO ATI SAR two-dimensional ocean current measurement system parameter design method based on a genetic algorithm, and the method comprises the steps: building the observation geometry of an MIMO ATI SAR system, and determining a sea surface flow field measurement system index, an interferometric phase expression, and a sea surface two-dimensional velocity vector expression; according to the sea surface two-dimensional velocity vector expression, determining geometric configuration parameters influencing velocity vector errors, and establishing a mathematical relationship between the geometric configuration parameters and the velocity vector errors; determining MIMO ATI SAR system parameters influencing the velocity vector error, and establishing a mathematical relationship between the MIMO ATI SAR system parameters and the velocity vector error; establishing a sea surface two-dimensional velocity vector error objective function based on the mathematical relationship between the geometric configuration parameters and the velocity vector error and the mathematical relationship between the MIMO ATI SAR system parameters and the velocity vector error; and solving the sea surface two-dimensional velocity vector error objective function based on a genetic algorithm to obtain the optimal geometric configuration parameters of the MIMO ATI SAR system and the optimal parameters of the MIMO ATI SAR system.

The invention provides a mining planning method. The mining planning method comprises the following steps: acquiring physical characteristics and initial parameters of an ore particle swarm; carrying out numerical simulation on the ore particle swarms according to the physical characteristics and the initial parameters, calculating resistance coefficients of the ore particle swarms at different flow velocities, and generating a mathematical relationship between the resistance coefficients and flow velocity changes; calculating the settling velocity of the ore particle swarm according to the mathematical relationship; calculating the minimum lifting speed of the ore particles according to the settling speed; the minimum lifting speed is used for guiding mining planning. According to the method, the resistance coefficient and the settling velocity of the particle swarm are accurately calculated through numerical simulation, then the minimum lifting speed is determined, it is ensured that ore particles can be smoothly lifted, and an important reference basis is provided for design and optimization of a deep-sea mining hydraulic lifting system. The invention also provides a mining planning system, a computer readable storage medium and electronic equipment, which have the above beneficial effects.

The embodiment of the invention discloses a transformer fault diagnosis method based on novel insulating oil, and relates to the technical field of power equipment state monitoring and fault diagnosis, and the method comprises the steps: obtaining the concentration of characteristic gas in the insulating oil; based on different characteristic gas concentrations and a preset mathematical relationship, respectively calculating first, second and third synthesis indexes representing discharge energy, thermal fault temperature and solid insulation degradation degree; normalizing the three indexes to obtain a coordinate component, mapping the coordinate component into a triangular coordinate diagnosis map, and determining a fault type according to a fault area where a diagnosis point falls; by constructing three independent indexes with clear physical significance and combining triangular atlas mapping, diagnosis fuzzy regions are remarkably reduced, the diagnosis accuracy is improved, and the degradation degree of solid insulation can be effectively identified.

The invention discloses an RTF copper foil roughness prediction method based on structural parameters, and the method comprises the steps: 1, obtaining a copper nodule coverage rate x, a copper nodule size y and a copper nodule size variance z through the processing of an SEM image, and obtaining the copper foil roughness Rz through measurement; 2, determining the weights of the copper nodule coverage rate x, the copper nodule size y and the copper nodule size variance z; 3, fitting to obtain a uniform equation of the copper foil roughness Rz with the copper nodule coverage rate x, the copper nodule size y and the copper nodule size variance z; 4, fitting the three unary equations obtained in the step 3 through weights to obtain a nonlinear regression equation; and step 5, predicting the roughness according to the regression model of the copper foil roughness and the structure parameters of the copper foil to be measured. According to the method, the mathematical relationship between the copper foil structure and the roughness is explained, the copper foil roughness can be effectively predicted, and the estimation precision is high.

The invention relates to the technical field of road engineering, in particular to a waste plastic modified asphalt compatibility evaluation method based on an infrared spectrum technology, which comprises the following steps: preparing a to-be-tested plastic sheet, and carrying out infrared spectrum analysis on the to-be-tested plastic sheet; calculating the corresponding characteristic peak area of the to-be-tested plastic sheet according to the obtained infrared spectrum data; taking each characteristic peak area of the to-be-tested plastic sheet as an input variable, taking known plastic and asphalt compatibility data as an output variable, and establishing a standard mathematical relationship model; and substituting the infrared spectrum data of the plastic sheet sample into the standard mathematical relationship model, and calculating an output compatibility index, namely the softening point difference. According to the method, the sample preparation process is simplified, and the compatibility of the plastic and the asphalt is predicted by utilizing the infrared spectrum test and the standard mathematical relationship model, so that tedious operation steps in a traditional test method are avoided, and the method has the characteristics of short time consumption, high accuracy, wide adaptability and the like.

The invention discloses an equivalent calculation method for quantitative evaluation of the residual life of an existing pavement and a storage medium, and the method comprises the steps: firstly, determining a bearing threshold value of a lossless pavement structure based on a dual-modulus elastic layered system theory; secondly, a reduction coefficient of typical diseases to the structural strength is quantified through finite element simulation; thirdly, establishing a mathematical relationship model of the maximum effective stress and the fatigue life; then, actual disease information is accurately obtained by combining nondestructive testing technologies such as ground penetrating radar and three-dimensional laser scanning; then, correcting the maximum allowable equivalent stress in a lossless state according to the disease data; and finally, fusing the theoretical model and the traffic load history, and calculating the remaining service life. According to the method, three-dimensional and quantitative analysis on the influence of the diseases is realized through a mechanical response equivalence principle, the accuracy, objectivity and engineering application efficiency of residual life evaluation are remarkably improved, and a reliable basis is provided for scientifically making a road maintenance decision.

The embodiment of the invention provides a fault current control method and device of a magnetic flux controllable reactor, equipment and a medium, and relates to the technical field of electric power. The method comprises the steps that primary side current and secondary side current of the magnetic flux controllable reactor are detected in real time, when it is determined that system current is unstable according to the primary side current and the secondary side current, target parameters are determined according to the primary side current, the secondary side current and an implicit function of the primary side current and the secondary side current of the magnetic flux controllable reactor, and the target parameters are variable parameters in the implicit function; and the implicit function represents a mathematical relationship between the primary side current and the secondary side current of the magnetic flux controllable reactor. And determining target delay time corresponding to the target parameter according to a mapping relation between the target parameter and the delay time. And finally, configuring the target delay time as the delay time of the magnetic flux controllable reactor. By means of the method, the problem that the fault current stability control effect is not ideal due to the fact that a lag angle exists between the primary side current and the secondary side current of the magnetic flux controllable reactor is solved.

The present invention proposes a single microwave radiation driven unmanned aerial vehicle (UAV) flight planning method with optimal energy utilization, comprising the following steps: Step 1: for a given UAV, obtaining basic design parameters, initial state parameters, and a lift-to-drag ratio relationship of the UAV, and using an aircraft performance estimation method to calculate the climb angle boundary and the flight speed boundary of the UAV; Step 2: establishing a mathematical relationship between the UAV position, roll angle, pitch angle, yaw angle, and the energy consumption of the UAV at the current time step; Step 3: based on the basic design parameters and initial state parameters of the UAV, starting from the initial state, calculating the position, yaw angle, and flight speed of the UAV at the next time step; based on the mathematical relationship established in Step 2 and the minimum energy consumption in the current time step, obtaining the roll angle and pitch angle of the UAV at the next time step, and recording the position, attitude angle, flight speed, and energy consumption of the UAV at each time step until the flight mission is finally completed.

The present invention discloses a method for predicting the life of a roll based on the hardness of a roll, comprising: establishing a mathematical relationship between the hardness of a roll and the life of a roll; obtaining the fatigue limit N1 of the roll under an alternating stress P1 when the roll has an initial Shore hardness Hs0 according to the mathematical relationship; and obtaining the Shore hardness Hs1 of the roll used for n1 times according to the fatigue damage accumulation hypothesis and the mathematical relationship; and obtaining the Shore hardness Hs2 of the roll under an alternating stress P1 by analogy. k Next and loop using n k The Shore hardness of the roller after the rolling process is Hs k ; Finally, the mathematical relationship between the Shore hardness of the roller and different alternating stresses and the number of cycles is derived. The method of the present invention studies the relationship between the Shore hardness of the roller and the fatigue life of the roller, thereby extending the life of the roller by improving the hardness of the roller, thereby reducing the production cost of the enterprise; the prediction result of the prediction method of the present invention is less different from the actual result, which proves that the prediction method of the present invention has a good prediction effect.

The invention relates to the technical field of down-the-hole drill ball tooth drill bit wear measurement, in particular to a down-the-hole drill ball tooth drill bit wear value real-time measurement method and system, and the method comprises the steps: carrying out the optimization and registration of an initial three-dimensional model, and obtaining an overall wear quantized value of a down-the-hole drill ball tooth drill bit; analyzing a mapping relation between the while-drilling parameters and the overall wear quantized value, and constructing a database between the while-drilling parameters and the drill bit wear value; deriving a dimensionless variable according to a dimensional analysis method and a database, and performing combined screening on the dimensionless variable, a second-order polynomial and a cross term to determine a dimensionless variable combination influenced by drill bit wear; and substituting the dimensionless variable combination into the multiple linear regression model to establish a mathematical relationship model between the drill bit wear and the while-drilling parameters, thereby realizing the real-time measurement of the wear value of the ball tooth drill bit of the down-the-hole drill. According to the method, non-dimensional variables of the while-drilling parameters are obtained based on dimensional analysis, the model is built in combination with multiple linear regression, the wear value of the ball tooth drill bit of the down-the-hole drill is measured in real time, and construction efficiency and safety are improved.

The invention discloses an actuator capability and control rate explicitly coupled satellite attitude adjustment method, and belongs to the technical field of satellite attitude adjustment and control. The method comprises the following steps: firstly, establishing a satellite attitude kinematics and dynamics system, modeling an actuator dynamics system by adopting a hyperbolic tangent function, and widening an attitude control system with limited actuator capability into a three-order attitude control system; then designing an attitude anti-saturation regulation controller, taking the maximum control capability of an actuator as a parameter selection reference, and ensuring the asymptotic stability of the system through the Lyapunov theory; and finally, solving an inequality differential equation of the energy function, and establishing an explicit mathematical relationship between the actuator capability and the control rate. According to the method, the relevance between the actuator capacity and the control rate is revealed through an accurate mathematical equation, a theoretical basis is provided for satellite actuator type selection, and meanwhile, the attitude adjustment stability under the condition that the actuator capacity is limited is ensured.

The present invention belongs to the field of ocean wave feature extraction, and specifically relates to a method for inverting sea wave features based on reverse echo measurement, which includes the following steps: obtaining the echo signal from the seabed to the ocean surface, performing adaptive time window smoothing processing on the echo signal, and performing outlier identification and missing data filling on the data after smoothing processing; using the improved Tukey method to remove outliers and using the piecewise cubic spline interpolation method to fill in the missing data; obtaining the sea wave echo signal with the low-frequency trend removed through high-pass filtering and detrending processing; selecting an appropriate time window to calculate the dispersion of the echo time, establishing a mathematical relationship between the dispersion and the significant wave height through a regression algorithm, and substituting the observed data into the equation to obtain the inversion result of the significant wave height. The present invention performs feature inversion on sea waves based on reverse echo measurement technology, effectively improving the accuracy of sea wave feature extraction, reducing the on-site measurement cost, and providing a stable and low-cost sea wave measurement method.

The invention relates to the technical field of machining, and discloses a chamfering tool metal dead zone shape prediction method based on a slip line theory. The method comprises the steps that firstly, a chamfering cutting edge right-angle cutting slip line field model is constructed, a right-angle cutting coordinate system is established with an S1 point as an original point, then an S1 point Moire circle model is established based on the plastic deformation theory, and the size of an included angle omega 1 formed by a metal dead zone boundary S1S3 and a chamfering S1S2 is solved in combination with the Coulomb friction theorem; and then determining a slope relational expression of the line segment S2S3 and the line segment DN through a geometrical relationship, establishing an equation to solve the height of a shunt point, and finally solving the length 1 of the lower boundary of the metal dead zone, thereby realizing prediction of the shape of the metal dead zone. According to the method, the mathematical relationship between the parameters of the cutting edge of the chamfering tool and the shape of the metal dead zone is established particularly for the shape of the dead zone of the cutting edge of the chamfering tool, so that the boundary of the dead zone can be represented according to the parameters of the cutting edge of the chamfering tool, and the prediction effect of the shape of the metal dead zone of the chamfering tool is achieved.

The present invention relates to a method for controlling the gloss of an organic coating formed on a moving strip on a coil coating line, the method comprising: 1) a set gloss value G s , setting gloss range R s , and a proportionality constant K for a predefined linear mathematical relationship between the temperature and gloss of the wet film before UV curing; 2) collecting measurements of the temperature T of the wet film and collecting measurements of the gloss G of the wet film at least in a width portion of the moving strip upstream of the UV curing device; 3) R s , which includes a step of correcting the deviation of the measured gloss G beyond a corrected temperature T to be reached by the wet film in the width portion upstream of the UV curing device. c The equation: T c =T+K(GG s )

The present invention relates to a biological control method and system, a computer program product and a computer-readable storage medium relating to a given area, preferably a given agricultural area, wherein the aim of the invention is to determine the number of biocontrol agents to be introduced into the given area, the frequency with which the biocontrol agents are to be introduced into the given area, and the period during which the biocontrol agents are to be introduced into the given area, by means of a model equation, the model equation applying a mathematical relationship to at least one item of biological modelling data and to at least one item of ecological modelling data, the implementation thereof comprising the use of at least one item of user data.

This invention relates to a laser measurement method for the microscopic mechanical properties of a material's constituent phases, comprising the following steps: (1) determining the constituent phases of the metallic structural material to be tested; (2) establishing a system of two linear equations based on the mathematical relationship between the overall deformation depth of the metallic structural material surface and the phase content of the constituent phases under different phase content ratios, and obtaining the overall deformation depth of different constituent phases under the action of a pulsed laser beam; (3) determining the microscopic mechanical properties of different constituent phases. This invention provides a green laser measurement and characterization method for the different mechanical properties of the internal phase composition of structural materials, which is applicable to a wider range of occasions and requires lower surface finish of the material to be tested. The material constituent phase measurement method provided by this invention establishes a more direct correspondence between the microscopic and macroscopic mechanical properties of materials, laying an experimental foundation for technicians to more thoroughly understand the quantitative relationship between material structure and properties.

The invention discloses a blasting lumpiness overall distribution curve prediction method considering blasting in-situ blocks. The method comprises the following steps: obtaining structural surface distribution characteristics of a rock mass in a to-be-blasted area; constructing a three-dimensional numerical model of the rock mass based on the distribution characteristics of the structural surface; blasting design parameters are introduced into the three-dimensional numerical model, and the segmentation characteristics of the rock mass under the combined action of the structural plane and blast hole arrangement are analyzed; according to the segmentation features, blasting in-situ block information is extracted, and the size is counted; defining the maximum size of the blasting in-situ block as the size upper limit of an R-R distribution function; establishing a mathematical relationship between the average size of the blasting in-situ blocks and the characteristic curve parameters in the R-R distribution function; based on the size upper limit and the mathematical relationship, constructing a prediction model of the overall distribution curve of the rock lumpiness after blasting; and predicting the blasting fragmentation overall distribution curve according to the prediction model to obtain a prediction result. According to the method, the accuracy and practicability of blasting lumpiness overall distribution prediction are improved.

This invention relates to the field of semiconductor manufacturing process monitoring technology, and discloses an online pH monitoring system for polishing slurry based on ultrasonic stirring. The system includes: an ultrasonic stirring module for uniformly stirring the polishing slurry and acquiring acoustic signals, extracting acoustic feature vectors through Fourier transform and wavelet analysis; a multi-sensor data acquisition module for acquiring pH, temperature, turbidity, and redox potential data; an anomaly detection module for constructing an LSTMAutoencoder model, calculating reconstruction errors, and triggering early warnings; a causal analysis module for constructing a causal network of pH changes; a rule generation module for extracting mathematical relationships using symbolic regression and converting them into predictive rules; and an intervention control module for calculating the effectiveness of intervention measures, generating and executing optimal control operations. Through structural causal models and counterfactual reasoning, this invention can accurately identify key factors leading to pH anomalies and their contribution, shortening troubleshooting time.

The application discloses a multi-layer adhesive precise structure and function device processing release film removing device and method, and the removing device comprises a sampling module, a testing module, an analyzing module, a control module and a processing unit. The device samples are randomly sampled, the obtained device samples are subjected to warming test and release performance test, the peeling force parameter values of the device samples and the warming temperature values corresponding to the peeling force parameter values are obtained, the obtained data is fitted, a mathematical relation model corresponding to the peeling force parameter values and the warming temperature values is constructed, the warming temperature and the peeling force size setting in the processing of removing the release film on the surface of the function device in the running process of the processing unit are controlled, and the function device is processed, so that the release film on the surface of the function device is efficiently removed.

The invention belongs to the technical field of buckling restrained brace damage detection, and particularly discloses a method for detecting the damage position and degree of a buckling restrained brace, and the method comprises the steps: collecting a reference signal of a buckling restrained brace under an undamaged working condition, obtaining a signal under each damaged working condition through a fatigue test, and extracting modal features; based on the modal features, establishing a mathematical relationship model of the modal curvature difference and the wavelet coefficient difference with the damage degree; actual damaged buckling restrained brace signals are collected, modal information is extracted, a modal curvature difference method based on statistics and wavelet coefficient difference analysis are adopted to determine the damage position, and the modal curvature difference and the wavelet coefficient difference corresponding to the damage position are extracted; and determining the damage degree according to the mathematical relationship model of the modal curvature difference, the wavelet coefficient difference and the damage degree, the modal curvature difference and the wavelet coefficient difference. The problems that an existing buckling restrained brace damage detection method cannot accurately recognize the damage position, cannot evaluate plastic deformation, and is high in detection cost and complex in operation are solved.

The invention relates to the technical field of inertia friction welding, in particular to a method and system for determining the length of an inertia friction welding extending clamp connector. Then, according to the welding seam shortening value and the post-welding single-side flash width value, the minimum length extending out of the clamp connector is determined; and finally, according to the minimum extending length of the clamp joint, the extending length of the inertia friction welding clamp joint is determined. According to the method, by determining the mathematical relationship between the welding seam shortening amount and the width of the half single-side flash after welding, the thermoplastic deformation and the flash form in the welding process are quantitatively coupled, it is ensured that the extension length of a clamp connector is always larger than the axial projection range of the flash, the physical interference risk of the flash and a clamp system is fundamentally eliminated, and the welding quality is improved. The limitation of traditional empirical parameter adjustment is broken through, and the problems that the machining efficiency is low and the quality is poor due to the fact that the minimum extending clamp connector length cannot be effectively determined in the prior art are solved.

The present invention discloses a method for calculating an affine power flow of an electric power system based on full-morphic embedding. First, an embedded affine power flow model describing the uncertainty of load and new energy output is established. Then, a definite initial solution of the affine power flow is obtained, and the problem that the convergence of the affine power flow algorithm is affected by the initial value is solved. Thereafter, a mathematical relationship between the affine reactive power and the affine voltage of a PV node is established, and the affine reactive power of the PV node can be directly solved by using the affine node voltage obtained by each calculation. Finally, the problem of solving the affine power flow is converted into the problem of solving the Taylor power series coefficients, and the recursive relationship of the power series coefficients of the affine state quantity is derived. Only the linear algebra operation of the affine equation group is involved in the calculation process.

The invention relates to a method and device for evaluating the deformation capacity of a current collector in an electrode, equipment, a medium and a program product, and the method comprises the steps: simulating the deformation process of the current collector due to the expansion of the electrode through a finite element simulation model of the current collector, and obtaining the deformation of different positions in the finite element simulation model; according to the stress-strain constitutive equation of the material used by the current collector and the deformation amount of different positions in the finite element simulation model, the maximum stress generated by the finite element simulation model is obtained, and the stress-strain constitutive equation represents the mathematical relationship between the stress and the strain of the material used by the current collector in the deformation process; and determining the deformability of the current collector according to the maximum stress generated by the finite element simulation model and the pre-tested fracture stress when the material used by the current collector is fractured, and representing the maximum deformation borne by the current collector in the working process of the electrode by the deformability. Therefore, the maximum deformation borne by the current collector in the working process of the electrode can be quickly evaluated at low cost.

The present application relates to an assembly mechanics modeling method for a flexible gripping shaft assembly process, wherein the method comprises: constructing a force-position mapping model of suction cup deformation based on the mathematical relationship between the real-time deformation of the flexible suction cup and the force and torque received by the end of the flexible suction cup; constructing a force-position mapping model of shaft-hole contact based on the mathematical relationship between the shaft-hole posture error and the corresponding shaft-hole contact force and torque; constructing a numerical simulator for the flexible gripping shaft-hole assembly process based on the force-position mapping model of suction cup deformation and the force-position mapping model of shaft-hole contact; designing a compliant control strategy for the flexible gripping shaft-hole assembly process based on the force-position mapping model of suction cup deformation and the force-position mapping model of shaft-hole contact, and verifying the compliant control strategy using a numerical simulator. The embodiment of the present application constructs a force-position mapping model of suction cup deformation and a force-position mapping model of shaft-hole contact, which can well guide the design of the compliant control strategy of the flexible gripping shaft-hole assembly system, and constructs an assembly simulator that is easy to deploy, which can analyze the relationship between the system's posture error and force response in real time, and verify the control effect using the constructed simulator, thereby achieving a more compliant control effect.

The invention discloses a data analysis method based on AI, and the method comprises the steps: building a plurality of calculation class blocks for each calculation scene, receiving a mathematical formula model of the calculation scene inputted by a user, and filling the mathematical formula model into the calculation class blocks; obtaining training data of the calculation scene, matching the training data with the mathematical formula models of the calculation class blocks according to a matching algorithm, and performing relation derivation through AI to obtain a mathematical association relation between the calculation class blocks; filling a mathematical data model library with the calculation class blocks and the mathematical association relationship; acquiring to-be-processed data input by a user, performing matching through the mathematical data model library to obtain the calculation scene, the corresponding calculation class block and the mathematical association relationship, and then performing mathematical calculation; a mathematical data model of a specific scene can be established in a more targeted manner, the problem of dirty data is solved, and analysis and calculation can be performed more accurately.

The invention relates to a weld joint material removal amount predicting and polishing method based on a Preston equation, and relates to the field of mine equipment machining. The method comprises the steps of obtaining machining parameter data in a historical weld joint polishing process; constructing a mathematical relationship model between the material removal amount and the processing parameter data based on a Preston equation; the machining parameter data are trained through a machine learning algorithm, the mathematical relation model is optimized, and a weld material removal amount prediction model is determined; determining a predicted weld material removal amount based on the weld material removal amount prediction model; according to the predicted weld material removal amount, initial machining parameters are determined; and weld joint polishing machining is conducted based on the initial machining parameters, and the machining parameters are regulated and controlled in real time. Under the condition, it can be ensured that the expected material removal effect can be achieved in each grinding operation, so that the welding seam machining precision and consistency are remarkably improved, meanwhile, material waste is reduced, the machining time is shortened, and the production efficiency is improved.