9results about How to "High solution accuracy" patented technology

This specification pertains to the field of refining and chemical production processing technology, and particularly relates to a method and apparatus for optimizing refining and chemical production plans for a target secondary processing unit. The method includes: obtaining parameters of the secondary processing unit under a refining and chemical production optimization scenario; constructing a nonlinear constraint equation for product output based on the parameters of the secondary processing unit; performing an equivalent transformation on the nonlinear constraint equation to obtain an equivalent transformation equation; extracting the nonlinear constraint terms and performing a Taylor expansion; transforming the Taylor expansion formula into a linear approximation equation based on the proportion of the feed material to the output material of the blending tank, the feed material quantity to the blending tank, and the feed property values ​​of the blending tank, according to the property balance constraints of the blending tank; and then substituting these into the nonlinear constraint equation for product output, thereby transforming the nonlinear constraint equation for product output into a linear approximation equation containing only material information variables. This method effectively ensures model convergence and shortens the solution time.

This invention relates to the field of data processing technology and discloses a method, apparatus, and equipment for monitoring surface deformation based on parameter search interval optimization. The method, based on the location information of multiple buildings in a geographic coordinate system and multiple SAR images, determines at least one building-related region and at least one non-building region within a target area. It then determines a first residual elevation search interval for the building-related region based on the roof elevation value of at least one target building within the building-related region; determines a second residual elevation search interval for the non-building region; and performs temporal InSAR phase calculation based on the first residual elevation search interval, the second residual elevation search interval, a preset deformation rate search interval, and multiple SAR images to obtain the surface deformation rate field and residual elevation field of the target area. This significantly improves data processing efficiency while ensuring the accuracy of the temporal InSAR phase calculation and obtaining accurate surface deformation rate and elevation fields.

This disclosure relates to the field of remote sensing and mapping technology, and provides an adaptive distributed scatterer interferometry method, apparatus, and medium for mountainous areas. The method includes: acquiring radar image data and digital elevation model (DEM) data of the target monitoring mountainous area; calculating the radar vegetation index of each pixel in the dual-polarization synthetic aperture radar (DAP) image sequence and classifying it into multiple vegetation coverage levels to obtain a vegetation coverage grading atlas; identifying statistically homogeneous pixels in each image scene under the spatial constraints of vegetation coverage levels according to the grading atlas to determine a candidate set of distributed scatterers; further, using the grading atlas, performing adaptive coherence threshold filtering on each candidate point to obtain multiple distributed scatterers; and determining the long-term surface deformation results of the mountainous area based on the multiple distributed scatterers, the DAP image sequence, and the DEM data. This embodiment effectively improves the accuracy and reliability of distributed scatterer extraction and is suitable for deformation monitoring in complex mountainous areas.

The present application relates to a kind of nuclear power process twin system simulation model parameter optimization method based on PSO-TD3 hybrid framework, comprising: based on demand, construct nuclear power process twin system simulation model, determine the optimization parameter contained in nuclear power process twin system simulation model;Loss function for measuring the combination performance of current each parameter of nuclear power process twin system simulation model is constructed, with the value of loss function minimization as optimization goal;With particle, each parameter of nuclear power process twin system simulation model is represented, based on particle swarm optimization algorithm, the PSO update function for updating the speed and position of particle is constructed;With the state parameter of PSO update function, TD3 state vector is constructed, and the output action of TD3 is mapped as the weight parameter of PSO update function;Based on optimal particle group, the parameter of nuclear power process twin system simulation model is updated and optimized.For solving the problem that nuclear power simulation model parameter space dimension is high, nonlinear is strong, traditional static optimization algorithm is easy to fall into local optimum.

The application relates to the technical field of motor control, and particularly discloses a resolver software decoding method based on an MCU and a device thereof, the decoding device comprising an MCU, an amplification circuit, two conditioning circuits, two multipliers and two low-pass filters; the MCU comprises a timer, a DAC module, a first ADC module and a second ADC module; the DAC module is connected with a primary side winding of a resolver, a first input end of a first multiplier and a first input end of a second multiplier through the amplification circuit; two secondary side windings of the resolver are connected with a second input end of the first multiplier and a second input end of the second multiplier; and an output end of the first multiplier is connected with the first ADC module through a first filter and a first conditioning circuit, and an output end of the second multiplier is connected with the second ADC module through a second filter and a second conditioning circuit. The application can reduce the cost of a resolver shaft angle calculation system and realize high-precision shaft angle calculation.

The self-calibrating polarization state measurement device and method based on the trust-domain reflection method belongs to the field of precision instrument manufacturing and measurement technology. The device includes an incident optical fiber, a collimator, a magneto-optical crystal module, a quarter-wave plate, an analyzer, an output optical fiber, and a packaging shell. The method obtains 16 output optical powers by changing the rotation angle of the four magneto-optical crystal modules. It uses an optical power meter to measure and processes the data using a trust-domain reflection optimization mathematical model and algorithm. It can realize the self-calibration of the polarization state measurement device and analyze the polarization state of the input light, and can overcome the influence of temperature, wavelength, assembly and measurement errors, and noise on the measurement accuracy.

This invention belongs to the technical field of robotic arm motion planning and discloses a robotic arm motion planning method and system based on an error-driven adaptive gradient model. The method includes: S1 establishing the joint velocity at two adjacent moments with respect to the adaptive coefficient λ based on a Lyapunov function. n The gradient relationship is obtained; S2. The joint velocity at time n+1 is calculated using the gradient relationship, and the error between the calculated joint velocity at time n+1 and the adaptive coefficient is updated using the central finite difference method; S3. n = n+1; return to step S2 until the joint velocities at all times are obtained; S4. The joint position is calculated using the relationship between the joint velocity and position; the velocity of the end effector is calculated using the robotic arm motion planning model and the joint velocities at each time, thereby realizing the motion planning of the robotic arm. This invention solves the problem of low computational efficiency in robotic arm motion planning.