256results about How to "Relatively small error" patented technology

The invention provides a servo hydraulic system optimization control method and system for a press machine test platform, and relates to the technical field of press machines, and the method comprises the steps: building a state space expression and building a mathematical model of a servo hydraulic system based on dynamic characteristics by deducing mathematical expressions of all components of the system; building a predictive control algorithm based on the mathematical model, solving a quadratic programming problem by adopting a rolling optimization strategy through building a state space predictive model and determining a multi-objective optimization function to obtain an optimal control sequence, and taking a first element of the optimal control sequence as control input at the current moment; feedforward compensation and pressure feedback compensation are introduced, the feedforward compensation constructs a compensation model based on an inverse system of a press transfer function and pre-corrects a control signal, and the pressure feedback compensation designs a digital filter based on a pressure error, fuses a feedforward compensation signal with a pressure feedback compensation signal and superposes the fused signal with the control signal; and obtaining a final control signal.

The invention discloses a lake and reservoir total phosphorus and total nitrogen concentration inversion method and system based on Sentinel-2 image data. The method comprises the following steps: S1, acquiring image data of a satellite Sentinel-2 sensor in a research area and extracting all wave band data; s2, constructing an inversion prediction model and performing model training by using the sample data set, wherein the inversion prediction model extracts and calculates a feature set required by total phosphorus prediction and a feature set required by total nitrogen prediction from all waveband data; s3, performing inversion operation on the basis of the feature set required by total phosphorus prediction by the inversion prediction model to obtain total phosphorus prediction concentration, and performing inversion operation on the basis of the feature set required by total nitrogen prediction by the inversion prediction model to obtain total nitrogen prediction concentration. According to the inversion prediction model, waveband data can be extracted from image data of a satellite Sentinel-2 sensor in a research area and subjected to inversion processing, and the total phosphorus prediction concentration and the total nitrogen prediction concentration of the large-area research area can be rapidly obtained.

The invention relates to the field of battery SOC estimation, and discloses a lithium battery SOC estimation method based on dynamic voltage, which is applied to low-end SOC estimation, and comprises the following steps of: calculating a dynamic voltage value according to polarization voltage change generated along with temperature change and current change of a lithium battery calibrated by a discharge OCV curve to obtain a dynamic discharge voltage-SOC curve table; therefore, SOC estimation is carried out according to the currently acquired cell voltage value. The invention also discloses a lithium battery SOC calibration device which comprises a cell monitoring and signal acquisition part for monitoring the voltage, current and temperature of the cell and a processor, and when the SOC is lower than a certain threshold value, the processor adopts the lithium battery SOC estimation method based on the dynamic voltage to correct and calibrate the low-end SOC estimated value of the lithium battery. When iteration continuous judgment is corrected, errors can be effectively avoided, SOC correction is more accurate and reliable, and a guarantee is provided for safe and stable operation of the battery cell.

The invention is applicable to the technical field of distributed driving electric vehicle control, and provides a distributed driving pre-stabilization control system and method based on state estimation, and the system comprises a data acquisition module, a central processing module and a control execution module. The method comprises the following steps: firstly, receiving signals of each sensor, a gyroscope and a vehicle parameter unit; calculating a longitudinal force and a lateral force of a vehicle driving wheel; state parameters of the vehicle are calculated according to the longitudinal force and the lateral force; state trend prediction is carried out through the state trend; according to the predicted future automobile state, pre-stability judgment is carried out through the principle of a phase plane and a yaw velocity threshold value; when the automobile is about to be unstable, needed yaw moment is calculated, a pre-stability control mode is started, four-wheel torque distribution is carried out through a torque vector distribution method, and torque needing to be distributed by four wheels is obtained; and then a torque control instruction is sent to the driving motor through the execution module, so that the four-wheel torque reaches the calculated torque.

The invention discloses a mudstone lateral expansive force tester and a mudstone roadbed deformation calculation method, the mudstone lateral expansive force tester comprises a fixing system and a measuring system, and the mudstone roadbed deformation calculation method comprises the step of calculating mudstone vertical elastic extrusion deformation and mudstone center soil body bending deformation. The mudstone lateral expansive force tester disclosed by the invention can quickly measure the lateral expansive force of mudstone under humidification deformation, the structure is simple, the applicability is wide, and when the mudstone roadbed deformation is calculated based on the lateral expansive force, the calculation error can be further reduced, and the actual expansive deformation can be accurately estimated.

The present invention discloses a method for improving the load estimation of the output-into-river coefficient model in a large watershed. A nested sub-basin is set for the measured watershed, a Latin hypercube sampling method is used to initialize the population, and a genetic algorithm is used in combination with relevant data of the nested watershed to solve the optimized watershed pollution equation to calculate the land use output coefficient of different sub-basins; the surface runoff factor, soil water leaching factor, landscape interception factor and soil erosion factor of the corresponding watershed are coupled to calibrate the output coefficient of pollution sources in different spatial units. At the same time, the ratio of the product of the rainfall erosivity factor and the terrain influence factor to the product of the cost distance factor and the vegetation coverage factor is used to calibrate the river inlet coefficient of pollution sources in different spatial units; a large watershed non-point source pollution load estimation model is constructed based on the calibrated output coefficient and river inlet coefficient, and the pollutant output and river inlet under various land use types are calculated to improve the accuracy of the estimation of non-point source pollution in large-scale watersheds.

The invention discloses an underwater vehicle propeller shaft frequency and blade frequency variational holographic spectrum identification method and device, the variational holographic spectrum method utilizes the idea of holographic representation to realize robust high-dimensional holographic representation of nonlinear and non-stationary signals to obtain a variational holographic spectrogram, the variational holographic spectrogram is subjected to feature extraction, and the characteristic of the variational holographic spectrogram is extracted. The shaft frequency, the blade frequency and the blade number of the propeller of the underwater vehicle are identified and estimated; according to the method, variational mode decomposition is introduced, and the mode aliasing problem of EMD in a holographic Hilbert spectrum analysis method is effectively solved; according to the characteristic that a propeller modulation signal in radiation noise of an underwater vehicle is low-frequency and slow-change, segmented Fourier transform is introduced, and the problem that a Hilbert spectrum analysis method has a large error when processing the low-frequency and slow-change signal is solved. According to the method, the problem of insufficient characterization of the conventional common radiation noise analysis method LOFAR analysis, DEMON analysis and various improved algorithms during nonlinear and non-stationary signal analysis is solved.

The invention discloses a three-phase intelligent electric energy meter and an intelligent metering system thereof, relates to the technical field of three-phase electric energy meter metering, and aims to solve the technical problem that a large error exists in a measured value of a traditional three-phase electric energy meter metering system, and the three-phase intelligent electric energy meter comprises an electric energy metering unit which is used for collecting and metering three-phase voltage and three-phase current, a corresponding three-phase pulse digital quantity signal is generated; the processor module is connected with the electric energy metering unit and is used for receiving the three-phase pulse digital quantity signal and calculating to obtain voltage and current measurement values of each phase; the metering module is connected with the processor module, and is used for receiving the voltage and current measurement values, processing single-phase, two-phase and three-phase imbalance conditions, calculating an active electric energy metering value and a reactive electric energy metering value, and generating digital quantity signals of the active electric energy and the reactive electric energy; and the signal acquisition module is connected with the metering module and is used for acquiring digital quantity signals of the active electric energy and the reactive electric energy. The method has the advantage of improving the electric energy metering precision.

The invention discloses an elevation correction method and device for occultation ZTD data and an application system, and the method comprises the steps: obtaining occultation data of a target area, and determining a corresponding year product day and an occultation ZTD value before correction according to the occultation data; matching the occultation point spatial position of the occultation data with the grid point of the ERA5 data, and determining a target grid point; determining ZTD elevation scaling factors corresponding to the annual day and the target grid point by using a pre-constructed ZTD elevation scaling factor model according to the annual day; according to the ZTD elevation scaling factor and the conversion relation between the uncorrected occultation ZTD value and the corrected occultation ZTD value, the uncorrected occultation ZTD value is corrected to the target elevation position, and the corrected occultation ZTD value is obtained. By correcting the occultation ZTD value before correction to the target elevation according to the corresponding ZTD elevation scaling factor, the problem that the ZTD value error is large due to the fact that the earth surface part of occultation data is missing can be effectively solved, and the occultation ZTD data precision is improved.

The invention provides a sparse system identification method and system based on an improved adaptive filter, and belongs to the technical field of adaptive system identification, and the method comprises the steps: obtaining an input signal at a current moment; updating a correlation estimation matrix and a cross-correlation estimation vector based on a conjugate gradient method; a nonlinear gradient is introduced, and the search direction of the filter is updated; introducing a regularization parameter to obtain a dynamic step length of the filter; updating the tap weight coefficient of the filter; and updating the moment to the next moment, updating the weight vector coefficient of the adaptive filter, and when the weight vector coefficient of the filter is equal to the pulse response of the unknown system, ending the identification of the unknown system. According to the method, the sparse unknown system can be identified more efficiently by modifying nonlinear gradient updating, regularization parameters and momentum enhancement updating.

The invention discloses a cubic system single crystal turbine blade wall thickness ultrasonic detection method, which comprises the following steps: establishing a sound velocity model, carrying out wave velocity measurement on a standard sheet, and measuring an included angle omega between the vector direction of each wall thickness measurement point and a theoretical Y coordinate axis in a three-dimensional model, measuring a rotation angle alpha of a secondary dendritic crystal [100] of the part to be measured and a deviation angle theta between [001] orientation and a Z axis by adopting a Laue method or an XRD diffraction method, and substituting the included angle omega, the rotation angle alpha and the deviation angle theta of the Z axis into the sound velocity calculation model to obtain a real sound velocity of each wall thickness measurement point; and importing wall thickness data measured by the wall thickness gauge into a sound velocity model formula to obtain a corrected real wall thickness value. The method can solve the measurement error caused by anisotropy of the cubic system alloy, and has the advantages of high detection efficiency, low detection cost and the like.

The invention relates to the technical field of weld joint dynamic modeling, in particular to a thin-wall shell weld joint dynamic modeling method based on a common shell unit, which comprises the following steps of: S1, dispersing the middle surface of a welding part by a global shell grid, and simulating a weld joint by using a CSE instead of a rigid connection unit; s2, simplifying the modeling process of the CSE by adopting a grid common node processing method; s3, constructing an interface shell unit to replace part of GSM on the two sides of the welding area, and achieving the grid consistency requirement; s4, the CSE welding seam modeling method is applied to welding of the thin-wall shell for dynamic simulation analysis; and S5, performing result verification and adjustment on the data obtained by simulation in the step S4. According to the method, the ISE unit is introduced to meet the grid consistency requirement of the non-matched connection interface; building a weld joint dynamic model based on a CSE and RE modeling method, and carrying out dynamic simulation analysis and experimental research; the problem that the finite element analysis accuracy is affected due to the fact that an existing connecting unit cannot accurately simulate the real characteristics of weld joints is solved.

The invention provides a CT (Computed Tomography) system defect detection capability reference block, evaluation method and system. The CT system defect detection capability reference block comprises a defect simulation sample A and a matrix disc B, the method comprises the following steps: preprocessing a CT detection image, extracting a defect region of interest, and obtaining a defect detection capability evaluation two-dimensional plane; correcting the voxel size of the CT image; carrying out sub-pixel edge detection; fitting a result, and establishing an image pixel position coordinate; according to the sub-pixel edge point set, matrix gray scale mu l (h) and defect gray scale mu b (h) at different positions are obtained; establishing a relational expression of the defect size and the gray level, drawing a relation curve I of the defect size D and # imgabs0 # and a human eye 50% probability recognition probability curve II, and obtaining a minimum recognizable defect; and establishing a relation curve of the defect size and the measurement error thereof. According to the method, the defect size measurement precision is high, the influence of image noise is small, and the minimum defect detection capability and defect measurement error can be quantitatively evaluated.

The invention relates to a cubic spline trajectory planning and MPC tracking control method for optimizing a hydraulic mechanical arm based on a genetic algorithm, and belongs to the field of trajectory gauges of hydraulic mechanical arms. According to the method, the minimum time of cubic spline trajectory planning is iteratively solved by taking the time of the whole trajectory as a target function and the kinematics constraint of the mechanical arm as a boundary condition through a genetic algorithm, so that the trajectory planning is optimized, and the grabbing efficiency is improved. Meanwhile, MPC control rates with constraints are designed according to the identification models of all the shafts of the hydraulic mechanical arm, corresponding constraints are designed according to the upper and lower limits of input signals of all the shafts and the upper and lower limits of input variable quantities, and accurate trajectory tracking is achieved. Compared with a traditional PID control rate and a composite PID-DOB control rate, the method has remarkable advantages in the aspects of static errors and dynamic errors, the debugging process is simpler, parameters are fewer, and application and popularization are easier.

The invention discloses a cable channel hidden space detection method based on a self-insulation mechanical arm and a multi-physical field sensor, and the method comprises the steps: carrying out the modeling of the mechanical arm; a cable multi-physical field sensor measurement result is obtained through the mechanical arm; cable defects are judged and positioned by analyzing a measurement result; and in combination with an analysis result, designing a cable outer sheath monitoring method. A motor and a metal part are not arranged at the part close to the sensor, and the mechanical arm is driven by a motor driving rope far away from the mechanical arm to be pulled, so that the error of the leakage current and the difference temperature measurement value is relatively small; in combination with change rules of multiple physical fields such as an electric field and a thermal field under the condition of cable damage, measurement results of a Hall current transformer and a thermocouple temperature sensor are fused according to a D-S method, and accurate judgment and positioning of cable damage are realized.

The invention belongs to the technical field of hypersonic wind tunnel experiments, and discloses a schlieren measurement device and method for near-wall three-dimensional flow of a hypersonic wind tunnel model. The schlieren measuring device comprises a light source, a spectroscope, a concave mirror, a model, a knife edge and a scientific camera, light emitted by the light source penetrates through the spectroscope and then reaches the concave mirror, the light reflected by the concave mirror is parallel light, the parallel light penetrates through a to-be-measured flow field area and then reaches the surface of the model, the surface of the model is plated with a reflecting film, and the parallel light is reflected by the model and then returns to the concave mirror. And finally, a schlieren image is acquired by a scientific camera. The design method comprises the steps of determining a technical scheme; determining a model structure; and determining a light path arrangement scheme. According to the schlieren measurement device and the design method, the model becomes a part of a measurement light path in a model surface coating mode, quality constraint is carried out on the processes of designing, processing, assembling and the like of the model, the schlieren measurement experiment accuracy is improved, and the schlieren measurement device and the design method have engineering practical value.

The invention discloses a precise-control three-main-truss steel truss girder closure section mounting method, belongs to the technical field of truss girder closure, and aims to realize precise control of a three-main-truss steel truss girder closure section through optimization of a closure section structure, a sling-free double-machine lifting technology, a steel girder longitudinal movement control method under limited release conditions and optimization and adjustment of a closure gap butt joint process. The invention discloses a method for predicting, analyzing and controlling a closure gap based on ballastless track control requirements. By means of the mode, according to the technical scheme, the closure section structure is optimized, the problem of diagonal web member interference in the hoisting alignment process is avoided, and the relative error of downwarping and rotating angles of closure openings on the two sides is reduced by adopting a sling-free double-machine hoisting mode and a control method; a cantilever steel beam on one side is integrally and limitedly moved longitudinally, a closure gap is expanded, the alignment difficulty of a closure section is reduced, and a vertical adjustment measure is improved by utilizing a low-temperature method; the problems that the linear requirement of a ballastless track is high, and the requirement for the installation precision of a closure section is high due to the fact that a steel strand stay cable can only be tensioned and cannot be released are solved, the technical scheme is feasible, and the construction cost is saved.

The invention discloses a characteristic higher harmonic low-frequency sampling method, an APF, equipment and a storage medium, belongs to the technical field of power system harmonic detection, and solves the problem of how to reduce the sampling frequency of characteristic higher harmonics. According to the method, the characteristic higher harmonic signal is sampled into the fundamental wave signal by adopting the sampling frequency with lower frequency, so that the amplitude of the characteristic higher harmonic signal is obtained; meanwhile, sampling the characteristic higher harmonic signal into a direct current signal by adopting a second sampling frequency with a relatively low frequency, so as to obtain the phase of the characteristic higher harmonic signal; combining the known angular frequency of the characteristic higher harmonic signal to obtain all characteristics of the characteristic higher harmonic signal; the sampling frequency is reduced to a fraction or even lower than that of a traditional method, and the sampling frequency requirement is remarkably reduced; a high-frequency sampling chip does not need to be upgraded, and system modification cost is reduced; the phase relative error is greatly reduced in a low-order harmonic band, the overall phase error is controlled within 5%, and the phase detection precision is improved.

The present invention belongs to the general technical field of radar, and relates to an RCS measurement method based on amplitude smoothing and beam gain correction. Based on the radar equation, the present invention proposes an RCS measurement formula that is easy to implement in engineering, and the bandwidth, pulse width, pulse formation and working frequency parameters are involved in the calculation, and the beam factor is corrected according to the target elevation angle to remove the influence of antenna beam gain at different elevation angles. After screening out the track sequence that does not contain zero amplitude value, starting from the third circle, five amplitude values ​​of each track time and the two circles before and after it are taken out in sequence, and a five-point cubic smoothing filter is used to obtain a smoothed amplitude value. The corrected amplitude value is used to complete the signal-to-noise ratio estimation and RCS calculation. The present invention can effectively measure the RCS value of common targets on the basis of the existing hardware platform, solves the influence of antenna beam shape and track amplitude jump, and is easy to implement in engineering.

The invention relates to the technical field of computer systems based on specific calculation models, in particular to a numerical forecasting model vertical layering method suitable for terrain height following coordinates, which is executed by a processor and comprises the following steps: acquiring an initial data set; determining a vertical layering parameter set; inputting the vertical hierarchical parameter set into the original prediction model and adjusting parameters of a hierarchical function to obtain a primary prediction model; obtaining an original data set, a primary data set and a primary prediction parameter set; obtaining a comparison parameter; obtaining an optimal prediction parameter set; obtaining observation data; obtaining at least one optimal prediction parameter; determining a layer number parameter corresponding to the optimal prediction parameter; and determining an optimal prediction model based on a hierarchical function corresponding to the layer number parameter. According to the method and the device, the problem that in the prior art, the height of the first layer cannot be adjusted according to the actually predicted terrain height on the premise of ensuring the consistency of the vertical layering features, so that the prediction result error is relatively large is solved.

The invention discloses a trajectory prediction system based on convolution and self-attention. The trajectory prediction system comprises an overall network architecture, a training method and a reasoning output algorithm. The whole network architecture takes a road grating map, a vehicle motion state and target information as inputs, the inputs are processed through a DenseNet layer, a self-attention coding layer, a full-connection coding layer and a decoding output layer in sequence, and a prediction track is output; according to the method, a road grating map containing information such as a collision box and a road marking and a vehicle motion state are used as input, road environment constraints are associated with a self-attention mechanism, a polar coordinate track description mode fitting vehicle kinematics characteristics is adopted, a track parameter value range is limited, common errors and abnormal tracks are effectively avoided, and the method is suitable for popularization and application. Traffic rules and driving safety requirements are met, and the reasonability and safety of formed track prediction are prominent; based on 16000-frame multi-dimensional training data collected by a Carla simulator, errors are reduced in a verification set after optimization training, and errors in a crossing turning scene are reduced.

The invention relates to a dynamic weighing method based on a piezoelectric acceleration sensor, and belongs to the technical field of dynamic weighing systems, and the method comprises the following steps: S1, installing at least one piezoelectric acceleration sensor on a structural body bearing an object to be weighed, and collecting a vibration acceleration signal of the structural body under a dynamic load in real time; s2, applying an active excitation signal with a preset frequency and a preset amplitude to the structural body through an actuator; s3, acquiring an output signal of the piezoelectric acceleration sensor under the active excitation, and extracting a vibration response component in the output signal; s4, calculating the dynamic mass of the to-be-weighed object based on the vibration response component; and S5, outputting a calculation result of the dynamic quality. According to the dynamic weighing method based on the piezoelectric acceleration sensor, vibration interference is effectively separated and compensated through an active excitation and response analysis mechanism, and the weighing precision in non-static states such as vibration and movement is remarkably improved.

The invention relates to the technical field of electrochemical energy storage safety, and discloses a battery energy state estimation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an open-circuit voltage-state-of-charge curve of a battery; calculating an integral value of the open-circuit voltage-state-of-charge curve in a full-state-of-charge range; and estimating the real-time charge state of the battery at any moment, and calculating the energy state of the battery based on the integral value and the real-time charge state. According to the method, the open-circuit voltage-state-of-charge curve of the battery is obtained, the integral value of the curve in the full-state-of-charge range is calculated, and the energy state is calculated based on the integral value after the instant state-of-charge is estimated, so that the influence of internal resistance polarization on energy state estimation is effectively eliminated, and the precision and reliability of SOE estimation are remarkably improved; the problem of large error caused by internal resistance polarization is solved.

The invention discloses an image translation-based inclined view angle rotator vibration displacement measurement method. The method comprises the following steps of: performing cutting operation on an acquired rotator vibration image under a standard view angle and an acquired rotator vibration image under L random view angles; randomly extracting a preset number of random view angle cutting images and standard view angle cutting images of matched frames from the L random view angles, and taking the standard view angle cutting images as labels of the random view angle cutting images to construct a data set; training and verifying the image translation model through the training set and the verification set to obtain a trained image translation model; selecting one of the obtained rotating body vibration images of the preset time length under the L random view angles, inputting the selected rotating body vibration images into a trained image translation model, and obtaining a standard view angle image of a frame number corresponding to the preset time length; carrying out image splicing operation according to the standard view angle images with the frame number corresponding to the preset duration to obtain a spliced image; and performing edge detection on the spliced image, extracting an edge contour of the rotating body, obtaining sub-pixel-level displacement data, and converting the sub-pixel-level displacement data into a displacement value under a world coordinate system. According to the invention, the vibration displacement of the rotor can be effectively and accurately extracted from a plurality of shooting angles, and a more reliable and accurate scheme is provided for the measurement of the vibration displacement of the rotating body.

This invention provides a vehicle simulation speed correction method and system, relating to the field of vehicle intelligent dynamics modeling technology. The correction method includes the following steps: S1: Input and process simulation data output from the vehicle dynamics simulation model and corresponding real vehicle test data; S2: Construct a dynamic graph structure representing the interaction between state variables based on a preset physical coupling relationship of the vehicle powertrain; S3: Input the simulation data into a GCN and perform graph convolution operations under the constraints of the dynamic graph structure to extract graph embedding feature sequences representing the spatial dependencies between state variables; S4: Input the graph embedding feature sequences into a TCN and perform temporal convolution operations to learn the dynamic evolution law of state variables in the time dimension and output the correction amount of the vehicle simulation speed; S5: Output the result. Based on this, this invention solves the problem that existing correction methods have various limitations in practical applications.

The invention relates to an internal solitary wave acting force measurement method, which comprises the steps that S1, a first acting force F1'applied by an internal solitary wave to a first connecting rod is measured through a first dynamometer on the first connecting rod, and the first connecting rod is fixedly connected with the mass center of an underwater target in the Z-axis direction; s2, a second force meter on a second connecting rod is used for measuring a second acting force F2'applied by the internal solitary wave, the second connecting rod is fixedly connected with the mass center of the underwater target in the theta angle direction, and the theta angle direction is the direction which forms an included angle theta with the Z axis in the XZ plane; and S3, based on the measurement results of the first acting force F1'and the second acting force F2 ', the acting force FX applied to the mass center of the underwater target along the X-axis direction by the internal solitary wave is determined, and the components of the F1' and the FX in the direction of the second connecting rod are balanced with the F2 '. The problem that a complex multi-connecting-rod force measuring structure is large in error due to too many connecting points is effectively solved, a high-precision multi-component force sensor is not needed, and the multi-connecting-rod force measuring structure has the advantages of being simple in structure, low in cost, more accurate in measuring result and the like.

The present application relates to the technical field of electrochemistry, and in particular to a fast-charging numerical simulation method, device and medium for thick electrodes of lithium ion batteries, the method comprising: constructing an electrochemical model of a lithium ion battery based on a pseudo two-dimensional model; loading basic parameters of the lithium ion battery, spatially discretizing according to the battery structure, and initializing an array of physical quantities required for simulation; using a Bayesian optimization algorithm, determining the charge-discharge curve of the lithium ion battery based on experiments, and calibrating the kinetic parameters of the battery cell; switching the charge-discharge mode according to the state of the lithium ion battery, performing cycle simulation, outputting simulation data, and completing fast-charging numerical simulation. The method overcomes the problems of the prior art, such as the inability of the pseudo two-dimensional model to accurately simulate the low-temperature fast-charging process of thick electrodes, the lack of an efficient and accurate method for obtaining kinetic parameters, and the difficulty in predicting battery aging caused by SEI growth.

The present invention provides a true wind fusion algorithm based on platform attitude correction and an unmanned sailboat control system. The algorithm converts the coordinate system of the ship-borne wind sensor into the earth coordinate system, performs filtering processing on the relative wind speed, relative wind direction, ship speed wind speed, and ship speed wind direction, and uses the filtered data to perform true wind speed fusion processing. The relative wind is corrected to the state when the sailboat is in a horizontal attitude by using the idea of ​​rotating coordinate conversion. Compared with other wind speed and wind direction compensation algorithms, the present invention does not rely on sensors or other hardware adjustments, making the unmanned sailboat sail control system simpler and more convenient.

This invention relates to the field of black carbon aging research technology, and more particularly to an experimental apparatus for black carbon aging research, comprising: a sample introduction system, including a heating tube, a pretreatment tube, an oxidizing gas removal tube, and a drying tube connected in series; a black carbon coating device, including an injection assembly, a coating chamber, a first absorption chamber, a heating removal assembly, and a second absorption chamber connected in sequence; a detection system, connected to the first absorption chamber, the heating removal assembly, and the second absorption chamber; an integrated device, including a mounting box and an aerosol charging device, a first differential migration particle size analyzer, a second differential migration particle size analyzer, and a condensed particulate matter counter disposed within the mounting box; and a control system, disposed within the mounting box, for regulating the sample introduction system, the black carbon coating device, the detection system, and the integrated device. This invention improves the convenience of black carbon research.

The invention discloses a concentrated dosing automatic control system based on cloud computing, relates to the technical field of dosing control, and is used to solve the problems of unstable operation, difficult data acquisition and slow response speed in the traditional manual dosing process. The invention comprises a data acquisition module, a data preprocessing module, a concentration control module, a concentration fine-tuning module, a data monitoring module and a state detection module; the invention automatically realizes concentrated dosing management by collecting data of various parameters in concentrated dosing equipment, and can accurately control key parameters such as concentration, and can adjust the situation when concentration error occurs to avoid increasing errors, improve production quality and efficiency, and monitor the data of the equipment in real time through sensors, analyze and process in real time, and provide scientific basis and decision support for management personnel.