17 results about "Conversion equation" patented technology

The invention relates to the technical field of highway engineering, in particular to a method for predicting the dynamic resilience modulus of coarse-grained soil based on static index and dynamic modulus conversion, which specifically comprises the following steps of: testing various different types of roadbed soil samples to be tested; obtaining dynamic and static rebound modulus values of each subgrade soil sample under the conditions of optimal moisture content and set compaction degree and a relation between the dynamic rebound modulus value and CBR; establishing a dynamic and static modulus conversion equation; performing linearization processing on the dynamic and static modulus conversion equation, constructing a matrix equation based on a linearization processing result, solving the matrix equation by adopting a least square method to obtain regression constants k1, k2, k3 and k4, and substituting the regression constants into the dynamic and static modulus conversion equation; and constructing an equation by using the coarse-grained soil dynamic rebound modulus and the CBR value, and solving an equation regression constant to obtain a coarse-grained soil dynamic rebound modulus prediction formula. The problems that in the prior art, an existing conversion relation mechanism is insufficient in consideration, sample representativeness is limited, and the model generalization ability is weak are solved.

The invention discloses a natural gas hydrate exploitation parameter evolution numerical value determination method and device, electronic equipment and a storage medium. The method comprises the following steps: constructing temperature-pressure equations of a natural gas hydrate decomposition area and a natural gas hydrate non-decomposition area, and determining self-similarity solutions corresponding to the temperature-pressure equations; converting a self-similarity solution corresponding to the temperature-pressure equation according to a water-gas mass balance principle at the decomposition front edge to obtain a temperature-pressure conversion equation; at the decomposition front position, a decomposition front temperature-pressure equation is constructed according to natural gas hydrate phase equilibrium; carrying out iterative solution on the temperature-pressure conversion equation and the decomposition front temperature-pressure equation, and determining an influence factor influencing the decomposition of the natural gas hydrate; and constructing a natural gas hydrate yield prediction model according to the influence factors, and predicting the water and gas yield in the natural gas hydrate decomposition area according to the natural gas hydrate yield prediction model. By adopting the technical scheme of the embodiment of the invention, theoretical and technical support is provided for efficient exploitation of the natural gas hydrate.

A kinematics solving method of a cantilever type crushing device, comprising: establishing a link coordinate system of a three-link robot and a homogeneous transformation matrix of an end effector according to obtained DH parameters, and obtaining robot conversion equation sets according to link lengths of a boom, a stick and the end effector and motion pairs of each part; reading current driving space coordinates from displacement sensors of hydraulic cylinders; calculating current pose space coordinates by using the robot conversion equation sets, the link constraint equation sets and the current driving space coordinates; obtaining target pose space coordinates generated after the crushing device is moved to a target working position on the basis of the current pose space coordinates; and solving target driving space coordinates by using the robot conversion equation sets, the link constraint equation sets, the current and target pose space coordinates. The scheme can improve the control precision and motion rate of the cantilever type crushing device, and make the cantilever type crushing device motion more flexible.

The application discloses a kind of based on ST-GAN's multi-source data dynamic risk early warning method and system, the method includes the following steps: S1. constructing the spatiotemporal generation confrontation network suitable for spatiotemporal data characteristics, utilize the network to generate extreme precipitation data, realize spatiotemporal unbalanced data reduction, obtain the equalization data of final output;S2. the equalization data of final output with high-dimensional space variable is carried out multi-source data fusion, and nonlinear spatiotemporal information conversion equation, and by local linearization obtains linear approximation model, to predict future time series;S3. under the present situation that extreme rainfall data amount is relatively insufficient, neural network based on dual learning theory accurately learns the parameter of nonlinear spatiotemporal conversion, estimates extreme weather event.The application is through spatiotemporal generation confrontation network (ST-GAN) and multi-source data fusion engine, significantly improves the precision and efficiency of natural disaster warning.

The invention discloses a predictive control method and system for guide vane opening and exciting current of a hydroelectric generating set. The method comprises the following steps: collecting operation signals of a water turbine, a generator, an excitation system and a power grid system, and performing multi-time scale characteristic decomposition by adopting VMD and WPT; a water turbine energy conversion equation, a generator electromagnetic equation and an excitation system dynamic equation are embedded into a physical information neural network, a four-component loss function including structural loss, boundary loss, recursive loss and measurement data loss is introduced, and an improved PhyPINN-TI physical constraint prediction model is constructed; time-varying input is processed through an SSF algorithm, and SSF time window parameters are optimized through a chaos evolutionary algorithm; future evolution tracks of the guide vane opening and the exciting current are predicted in a rolling mode based on the prediction model, a prediction result is subjected to control constraint mapping to generate a control instruction, the control instruction is output to an electro-hydraulic servo system and an excitation system to be executed, and closed-loop prediction control over the guide vane opening and the exciting current of the hydroelectric generating set is achieved.

The invention discloses a transient electromagnetic wave logging response calculation method and device, electronic equipment and a storage medium. The method comprises the following steps: determining a target function from at least two reference functions associated with a target cased well radial stratification model, wherein the at least two reference functions comprise a first function and a second function; the signal receiving time of a receiving coil in the target cased well is determined, and a three-component transmitting coil and a three-component receiving coil are placed in a borehole of the target cased well; substituting the time of receiving the signal into the target function to obtain a target result, wherein the target result is a solving result used for indicating a derivative term of time domain magnetic field intensity to time in a frequency-time transformation equation of the target function; and determining the induced electromotive force of the receiving coil position at the borehole middle position of the target cased well according to the target result. According to the technical scheme, high-precision and efficient calculation of transient electromagnetic wave logging response can be achieved.

The application discloses a large-landscape-depth high-precision microscopic three-dimensional appearance scanning method and system and application. The method comprises the following steps: 1) establishing an imaging model based on the intersection imaging principle; 2) obtaining the depth direction information and the information of the object surface size of two dimensions of the collected image according to the imaging model, and deducing the conversion equation of the image surface and the object surface; 3) calibrating the parameters in the system object-image relationship equation through experiments; 4) scanning the object by using a line laser, calculating the spatial position coordinates of the sampling points through the calibration results, and completing three-dimensional reconstruction. The system comprises an illumination unit, an imaging unit, a displacement unit and an information control unit; the imaging plane of the imaging unit is inclined, and the line laser plane and the lens plane intersect at a straight line, so that the line laser plane is clearly imaged. The application has high efficiency and high precision, and has application value in the fields of automatic processing and part surface detection.

The invention discloses a data security governance system based on information sharing, and relates to the technical field of data security. Pre-shared original data is acquired through a data source module, and each part of segmented data obtained after the original data is segmented is encrypted according to an encryption conversion equation of a target data source; in the encryption process, for each part of segmented data, crc16 is adopted to determine an equation input value of each part of segmented data, and two solutions of x in an encryption conversion equation corresponding to the equation input value are determined according to the equation input value; according to the two solutions, performing bit-by-bit comparison operation on all equation output groups of the encryption conversion equation to determine a first ciphertext sequence, a second ciphertext sequence and an identification feature sequence, so that the security of different segmented data is ensured, and the determination process of the first ciphertext sequence and the second ciphertext sequence is different from the shortest sequence of the solutions in the other equation output groups; the length of the sequence used for encryption is reduced.

The invention discloses a tool state prediction method based on multi-sensor fusion, and the method comprises the steps: 1, determining a monitoring quantity and a state quantity sensed by a tool, and collecting a data set of the monitoring quantity; step 2, respectively constructing a conversion equation of each monitoring quantity; and step 3, based on the conversion equation of each monitoring quantity, constructing a multi-sensor fusion tool state prediction model based on Kalman filtering so as to obtain the prediction quantity of the tool state through the tool state prediction model. According to the method, the problem that the explanatability and accuracy of a simulation result are limited due to the fact that a tool design deformation error is usually obtained according to simulation calculation in an existing tool deformation monitoring mode is solved.

The invention relates to a clastic rock high-quality reservoir identification method based on rotation coordinate transformation. The clastic rock high-quality reservoir identification method comprises the following steps: S1, collecting reservoir characteristic parameters of a clastic rock reservoir and a multi-index data set of a logging curve; s2, according to the multi-index data set, selecting a combination of a plurality of indexes to construct an identification index variable; s3, based on the constructed identification index variables, constructing a core index set by using a main factor analysis method; s4, according to indexes in the core index set, initial rotation coordinates are constructed; s5, based on a rotation coordinate conversion equation, converting the numerical values of the indexes in the original coordinate system into numerical values in a new coordinate system; s6, constructing a secondary cross plot according to the original coordinate system and the new coordinate system; s7, evaluating the secondary cross plot, carrying out discrimination analysis on the discrimination effect, and adjusting the rotation coordinates according to the discrimination analysis result; and S8, according to the finally adjusted secondary cross plot, dividing the reservoir type and the spatial distribution range of the clastic rock reservoir.

The application relates to the technical field of mobile robots and discloses a complex under-actuated robot full-dynamics decoupling servo control system and method, wherein the control system comprises a calibration target module, a feature sensing module, a data processing module, a position control module and a posture control module; the control method comprises the following steps: energy equations and potential energy equations are established by analyzing the force conditions of each moving component of a robot body; a robot dynamics model is established by substituting a Lagrange function into a Lagrange equation; a conversion equation representing the conversion relationship between robot control variables and self-state variables is established by analyzing the mapping relationship between the robot control variables and the self-state variables; and a control model is obtained based on the conversion equation, a control algorithm is designed, and a control signal is generated. On the basis of ensuring that the robot self-model can fully reflect the dynamics characteristics of the robot, the posture and position dynamics of the robot are decoupled, the accuracy and stability of the body control are improved, and the maneuverability and sensitivity of the robot are effectively exerted.

The invention relates to the technical field of vertical shaft type gravity energy storage systems, in particular to a vertical shaft type gravity energy storage system overall energy efficiency analysis and calculation method which comprises the steps that the complete charging and discharging circulation of a vertical shaft type gravity energy storage system is divided into a plurality of stages according to the movement path of a gravity medium; aiming at the charging state, establishing a kinetic equation and an energy conversion equation of the gravity medium in the horizontal transportation and vertical lifting process, solving to obtain an energy change value of each stage, and obtaining the total energy of the charging process; aiming at the discharge state, establishing a kinetic equation and an energy conversion equation of the gravity medium in the horizontal transportation and vertical descending processes, solving to obtain an energy change value of each stage, and obtaining the total energy of the discharge process; and obtaining the overall energy conversion efficiency of the system based on the total energy of the discharging process and the total energy of the charging process. The calculation method provided by the invention realizes the quantitative analysis of the whole process of the vertical shaft type gravity energy storage system from the power grid side input energy to the power grid side output energy.

The application discloses a kind of five-axis milling dynamics modeling and stability analysis method considering process damping, comprising the following steps: 1) construct the five-axis machining coordinate conversion equation of workpiece, and determine tool-workpiece contact area;2) combined with tool posture, calculate tool instantaneous undeformed chip thickness and shear force;3) consider the process damping effect when high strength and toughness metal is cut, analyze the extrusion volume of tool tip blunt circle and relief surface extruding workpiece material, calculate the ploughing force and dynamic cutting force of tool;4) based on the dynamic cutting force of tool, establish the five-axis milling dynamics model of workpiece;5) use the five-axis milling dynamics model of workpiece to analyze the tool stability during workpiece milling process.The application can be used to guide the stable cutting parameter selection of high-end equipment with high strength and toughness metal special-shaped curved surface parts.

The invention relates to the technical field of machine vision, solves the technical problem of deviation of an actual position caused by posture change in a moxibustion process, and particularly relates to a calculation method for a moxibustion physiotherapy position, which comprises the following steps of: calibrating acquisition equipment at the tail end of a moxibustion robot and acquiring data; establishing a corresponding matching coordinate system on the body point cloud data and the fractal digital meridian graph; performing preliminary registration to obtain a conversion equation between the two; determining a correction scalar according to the conversion equation; carrying out pose correction to obtain an actual position; the actual position is fed back to the moxibustion robot system. According to the method, the corrected actual position coordinates are fed back to the moxibustion robot system, so that the moxibustion robot can still quickly position the corresponding acupuncture points when the posture of the user changes, and the corresponding acupuncture points can be positioned without a deviation phenomenon when the moxibustion robot executes techniques such as positioning, pecking, rotating and transporting in the moxibustion process; and meanwhile, the corresponding deviation is eliminated by automatically adapting to the change of the pose.

The invention discloses a non-invasive liquid level measurement system and method based on an improved YOLO model, and the method comprises the steps: collecting images under different conditions through an industrial camera and a cooperative light source, and carrying out the enhancement processing to generate a data set; a GAM attention module and WIOU v3 loss function optimization are introduced into the YOLO; noise reduction is carried out on the image, differential feature enhancement is carried out on a bottle body, a bottle cap and a liquid level, and a clear contour is extracted; based on the improved YOLO positioning pixel height, establishing a real-time detection equation; classifying the sample data, and constructing each type of conversion equation; and through double-path comparison verification, the error is ensured to be within a threshold value, and the measurement accuracy is verified. According to the method, by improving a YOLO model architecture, liquid level feature extraction is enhanced, bounding box regression is optimized, and the high framing qualification rate and the high reasoning speed are both considered; the environment adaptability is high, a complex environment can be simulated by means of a multi-light-source experiment table and data enhancement, and the model generalization ability is improved; the measurement precision is high, and the liquid level measurement error can be strictly controlled through a high-precision calculation method and image processing.

The application provides a cross-scale scaled model test design method for a transient strong nonlinear process, belongs to the technical field of structural impact dynamics model test, and is based on a scale similarity conversion model, introduces similarity conversion coefficients and an uncertainty control index therein, and constructs a scale similarity conversion equation from model test results to prototype responses.Combining self-similarity and scale invariance of the strong nonlinear system, discrete constraint is applied to a scaledown ratio of the cross-scale test, scale levels are defined, three types of cross-scale model conversion, i.e., large-middle-large, large-small and middle-small, can still realize cross-scale similarity conversion of strong impact response time histories such as acceleration and strain under the condition that medium parameters, material parameters and boundaries inevitably distort; and the method is suitable for model test data compensation deduction of prototypes of various strong impact response structures such as explosion impact, collision, drop, throwing into water / into soil and impact vibration.

The application belongs to the technical field of orientation measurement of cabin fittings in aviation, and provides a cabin target object assembly state detection method based on an inertial reference, which comprises the following steps: S1, establishing a correlation conversion equation among an observation coordinate system, a carrier coordinate system and a geographic coordinate system, and solving a deflection angle alpha between the observation coordinate system and a specified direction of the geographic coordinate system; S2, solving a deflection angle gamma between an out-of-cabin main shaft feature point and the specified direction of the geographic coordinate system through a rotation matrix; S3, obtaining an included angle beta2 between the carrier coordinate system and the geographic coordinate system; and S4, detecting whether an assembly angle theta of a target object in the cabin to be measured is qualified. The application fuses data by establishing an absolute measurement reference and an observation coordinate system, adopts unified absolute reference measurement, concentrates the to-be-measured postures of equipment in a narrow space cabin in the geographic coordinate system, simplifies a cabin detection preparation process in aviation, can realize efficient measurement, and solves the problem of the limitation of the size of the cabin on the measurement equipment.