17results about How to "Verification accuracy" patented technology

The invention discloses a structural deformation measurement method based on geometric correction of a multi-view panoramic camera. A method for measuring bridge displacement by using a single multi-view panorama camera is provided, multi-view segmentation is performed on a panorama image according to a panorama camera equivalent model and a cube projection method, and independent calibration and correction are performed to obtain a distorted image capable of covering a 360-degree full-field range; therefore, a single panoramic camera is equivalent to a vertical four-camera system without overlapped view fields, so that the reference target in any direction can be used for displacement correction. The invention further provides a camera disturbance elimination method based on a multi-view circle center array target and pose transformation matrix purification optimization, and a coordinate system transformation matrix after purification optimization is obtained through a high-precision multi-feature point tracking algorithm from camera single-view moving target pose measurement. And obtaining a multi-view geometric correction theoretical model of any view of the measurement target and the reference target in a 360-degree range by utilizing a multi-view equivalent camera fixed connection relationship.

The invention discloses a three-dimensional wind turbine wake flow calculation method considering a yaw effect, which comprises the following steps of: calculating a flow direction speed distribution profile u0 (z) and a turbulence intensity distribution profile I0 (z) of inlet wind according to a basic rule of turbulence motion in a boundary layer; calculating an axial flow induction factor a of the wind turbine in a yaw state, and then determining a wake flow expansion radius rx at the downstream x position of the wind turbine; calculating the additional turbulence intensity Iadd, x at the position x of the wake flow area; the wake flow center offset yd (x) is calculated, and then the radiation radius r with the wake flow center as the circle center is determined; judging the wake flow area of the wind turbine, and calculating the average wake flow speed u * (x, z) of the wake flow area at the position where the vertical direction height is z at the downstream x distance of the wind turbine; and calculating to obtain the wind turbine airflow area speed distribution. According to the method, the wake flow center offset and wake flow speed distribution characteristics of the yaw wind turbine can be accurately predicted.

The invention discloses a method for simulating sediment erosion around an offshore wind turbine foundation by combining ISPH with a modified k-epsilon turbulence model. The method comprises the following steps: establishing an ISPH discrete algorithm for solving an average mass conservation equation and a momentum conservation equation of a fluid dynamic ensemble; correcting the standard k-epsilon turbulence model, and calculating the turbulence vortex viscosity vt in the Reynolds stress tensor expression; a critical starting theory on a slope is introduced, a traditional two-dimensional sediment starting model is corrected and expanded, and a three-dimensional sediment starting model is established; establishing a local scouring experiment water tank model of the offshore wind turbine single pile foundation; establishing a corresponding ISPH numerical water tank model; the experimental water tank model and the numerical water tank model respectively simulate the characteristics of the scouring process of sediment around the cylinder, and a numerical simulation result and an experimental result are compared, verified and analyzed. By means of the method, the sediment erosion process around the offshore wind turbine single-pile foundation can be well simulated, the calculation time is short, and the requirements of actual engineering can be met.

The invention discloses a hydrodynamic model system based on an MIKE 21FM model and an automatic parameter judging, setting, selecting and testing method, and belongs to the technical field of hydrodynamic simulation. In order to solve the problems that in the prior art, MIKE 21FM model parameters are complex to set, difficult to select and tedious in verification process, an automatic parameter judging and setting system is constructed; the system can automatically judge and set model parameters according to model characteristics and hydrological conditions of a research area, and meanwhile, automatically select proper parameters and verify and check the parameters, so that the rationality and reliability of the parameters are ensured. By means of the method, the efficiency and accuracy of MIKE 21FM model parameter setting can be remarkably improved, and powerful support is provided for hydrodynamic simulation; in addition, the method is also combined with a machine learning technology to further optimize a parameter selection process and improve a simulation effect; the method is widely applied to hydrodynamic simulation of rivers, lakes, offshore water areas and the like, and has remarkable practical application value.

The invention discloses a battery SOC prediction method fusing online identification and an adaptive algorithm, relates to the technical field of power battery monitoring, and aims to solve the problem of insufficient SOC prediction precision of an electric vehicle power battery under a dynamic working condition. The prediction method comprises the steps of obtaining lithium battery charging and discharging experiment data, establishing a dual-polarization equivalent circuit model to simulate a strong nonlinear behavior in the battery, and fitting an OCV-SOC curve based on the experiment data; performing online parameter identification on the equivalent circuit model by using a forgetting factor recursive least square method based on grid search-real-time voltage difference improvement; sOC prediction is carried out by combining online parameter identification with a self-adaptive expansion Kalman filtering algorithm; and the proposed prediction algorithm is verified under a mixed pulse power characteristic test working condition. According to the method, the accuracy and the real-time performance of SOC prediction are remarkably improved, and the method has a wide application prospect.

The invention discloses a tunable semiconductor laser spectrum absorption method, and relates to the technical field of spectral analysis. The method comprises the following steps: step 1, constructing a multi-optical-path measurement gas chamber; 2, setting light source parameters; 3, gas concentration calculation; 4, correcting and outputting a result; by means of the gas chamber structure for multi-optical-path measurement, the optical path length is increased, the intensity of absorbed signals is improved, the spectrum quality and the signal-to-noise ratio are guaranteed through optimized mid-infrared light source and laser output light parameters, the stability and reliability of an optical path are guaranteed, and high-precision and high-efficiency detection of the gas concentration is achieved.

The invention discloses a pedestrian simulation method based on SUMO. The pedestrian simulation method comprises the following steps: step S1, Unity pedestrian data format conversion; s101, inputting a starting point and a plurality of end points of a pedestrian path in the Unity scene to indicate the travel path direction of the pedestrian; step S102, searching the name of each sidewalk passed by the pedestrian; step S103, judging whether the pedestrian can reach an end point or not; step S104, traversing each end point corresponding to the current pedestrian input point; step S105, assigning values to the pedestrian data; step S106, generating a pedestrian path file; s2, integration of the SUMO and the Unity is carried out; and S3, updating the position of the three-dimensional pedestrian. According to the invention, the strong traffic simulation capability of the SUMO is utilized, and interaction of various traffic modes such as vehicles and pedestrians can be simulated at the same time. Interaction between pedestrians and other traffic participants is truly simulated by integrating the pedestrian behavior model and the traffic flow model.

The invention relates to the technical field of piston ring processing, and discloses an online monitoring system for piston ring doctor blade processing quality, which comprises a detection unit, a transmission unit, an integrated analysis unit and the like. According to the device, the outline data of outer circle winding of the doctor blade can be monitored on line, so that real-time roundness value data and waviness value data can be obtained through calculation, it is guaranteed that products completely meet the technical requirements, and unqualified products are completely eradicated. Meanwhile, through online monitoring, quality problems can be found and processed in time, batch quality problems are avoided, and losses and influences are reduced. A mapping relation between product quality and equipment, processing personnel or other related factors is established, the influence of manual control of mold precision, assembly precision and service life on roundness and waviness can be verified, and a direction is indicated for a subsequent quality improvement strategy. And the product batch information is obtained and recorded during processing, so that process tracing can be conveniently carried out when needed.

This invention discloses an automatic calibration method for dual robots in confined spaces based on adaptive point planning, belonging to the field of dual robot calibration technology. Based on the ROS architecture, a three-dimensional simulation model of the dual-robot workspace is constructed on the Rviz platform. A collision detection module is used to randomly generate calibration points composed of collision-free joint angle vectors of the two robots. While driving the robots, motion capture camera data and the Cartesian coordinates of the dual robots' forward kinematics are simultaneously acquired. A hand-eye calibration algorithm is used, optimized by the least squares method to obtain the calibration result, and its validity is determined by the average value of the data calibration accuracy until the dual-robot calibration is complete. This invention integrates simulation modeling, collision detection, and hand-eye calibration technology. Through an adaptive sampling strategy and a synchronous data acquisition mechanism, the complex calibration problem is transformed into a virtual environment parameter optimization process, significantly improving calibration robustness and accuracy, and providing a guarantee for high-precision collaborative control of dual robots.

The utility model discloses an auxiliary maintenance platform for a flow velocity measuring vehicle, which relates to the technical field of hydraulic engineering and comprises a first upright post and a second upright post, support tables are fixed on the outer sides of the first upright post and the second upright post, and a protection component for protection during maintenance is arranged at the top of each support table. A first supporting rod is fixed to the outer side of the first stand column, and a ball machine probe is installed at the bottom of the first supporting rod. The beneficial effects of the utility model are that the protective rack and the protective frame effectively prevent maintenance personnel from being injured due to accidental falling or impact of external objects in the operation process, and the ball machine probe can monitor the maintenance area in all directions, so that the maintenance progress, the equipment state and the surrounding environment can be observed in real time; the safety and efficiency of maintenance work are improved, the solar panel can supply power to equipment on the platform, dependence on traditional energy is reduced, and the operation cost is reduced.

The invention belongs to the technical field of aircraft trajectory optimization, and discloses an aircraft reentry trajectory intelligent generation method based on an RBF neural network. According to the method, firstly, an aircraft reentry model is constructed, a trajectory optimization problem needing to be solved is constructed based on the aircraft reentry model, an optimal sample trajectory set is generated by using a pseudo-spectral method according to an initial discrete height speed, and then a sample trajectory is generated at each waypoint according to a new discrete state. The sample set is divided according to the waypoints, the RBF neural network is trained, the input of the RBF neural network is a discrete height speed state, and the output of the RBF neural network is a state-control sequence from the current state to a target point; and finally, the RBF neural network is used for online generation of an optimal track. According to simulation verification, the method is high in confidence coefficient and small in error, and the generation efficiency of the optimal track can be greatly improved.

This invention discloses a method for determining the opening deviation of a blast furnace hot blast pipe using a theodolite, comprising: a flange at the bottom of the reducer, with symmetrical screw holes on the flange; two steel wires are stretched between the center points of the screw holes; the center point of the reducer is found through the intersection of the steel wires; similarly, the center points of all reducers are found and marked for later use; a flange with multiple symmetrical screw holes is also on the large sleeve; the center points of all large sleeves are found using the same method as above and marked for later use; the theodolite is set up on the extension line of the center line of a pair of large sleeves, zeroed, and locked; the theodolite's aiming part is rotated vertically to aim at the reducer, and the extension line of the center line is marked on the reducer; the distance between the center point of the reducer and the extension line of the center line is measured and recorded using a ruler; the above process is repeated to measure and record the installation deviation of all reducers. This invention uses a theodolite for measurement, which can help the client verify the opening accuracy of the hot blast pipe.

The utility model relates to the field of coal mining equipment, and provides a fully mechanized coal mining face equipment test system, which comprises a working chamber used for installing fully mechanized coal mining face equipment; the display screen is installed on a window of the working chamber, the display screen is made of a transparent material, and a mining height curve of fully mechanized coal mining face equipment and a cutting template curve of the fully mechanized coal mining face equipment are displayed on the display screen in real time; and the controller is electrically connected with the fully mechanized coal mining face equipment and the display screen. The fully mechanized coal mining face equipment test system is used for solving the defect that an experiment result cannot be converted into a reference for practical application in the prior art, the practical working state of fully mechanized coal mining face equipment is observed through a display screen made of a transparent material, and a virtual-real combination mode of working data is displayed. The operation condition of fully mechanized coal mining face equipment is better fed back, and the accuracy of the cutting template is more accurately verified through real-time comparison of a mining height line and a cutting template curve and actual observation.

The present invention discloses a gas turbine T-S model optimization method based on a multi-model predictive control algorithm. The method comprises data preprocessing, using five adjacent sampling points to perform cubic polynomial fitting to preprocess the data and improve the data quality; establishing a characteristic vector, that is, constructing a characteristic vector combination of input and output variables; performing antecedent structure identification on the characteristic vector; performing consequent parameter identification on the data obtained in step S3; obtaining a T-S fuzzy model; obtaining a step response vector model of a corresponding working condition in the T-S fuzzy model obtained in step S5, and using a DMC algorithm to obtain an optimal input quantity to optimize the gas turbine output.

The invention discloses a full-automatic dispensing system and a full-automatic dispensing control method, and the method comprises the following steps: injecting a solvent into a dispensing container until the liquid level in the dispensing container reaches a preset first height; stopping injection of the solvent, and injecting the liquid medicine into the dispensing container until the liquid level in the dispensing container reaches a preset second height; stopping injecting the liquid medicine, and detecting the density of a mixed solution of the solvent and the liquid medicine; if it is detected that the density measurement value is larger than the upper limit of the preset range, controlling continuous injection of the solvent until the density measurement value is within the preset range; if it is detected that the density measurement value is smaller than the lower limit of the preset range, the liquid medicine is controlled to continue to be injected till the density measurement value is within the preset range. Liquid level detection and density detection are used for mutual verification, two relatively independent control parameters are adopted to jointly and effectively participate in dispensing control, mixed liquid medicine meeting the density requirement does not need to be manually prepared, and 24-hour uninterrupted safe water supply is ensured.

The invention provides a method for generating a global operation path of agricultural machinery in a tea-oil garden based on unmanned aerial vehicle vision, which comprises the following steps of: firstly, acquiring images by using an unmanned aerial vehicle to construct a data set, and performing improvement based on a YOLOv11 model: embedding an EMA attention mechanism to enhance feature focusing capability, and adopting a SlideLoss loss function to optimize multi-scale crown positioning precision; then, the trained model is used for detecting a tree crown and extracting a central point of the tree crown; and finally, performing clustering and straight line fitting based on central point distribution to extract a navigation baseline, and further generating a smooth global operation path shaped like a Chinese character'gong '. According to the method, only the consumer-level unmanned aerial vehicle and the RGB camera are needed, so that the cost is low; through a new normal form of planning through detection, complex three-dimensional reconstruction is avoided, and the process is efficient; the detection precision on a self-built data set is excellent; the generated path is highly similar to the GNSS reference path, and a solution with high cost performance is provided for autonomous operation of the agricultural machinery in the camellia oleifera garden.

The application belongs to the technical field of aircraft trajectory optimization, and discloses an intelligent generation method of reentry trajectory of an aircraft based on a RBF neural network. Firstly, a reentry model of the aircraft is constructed, and a trajectory optimization problem to be solved is constructed based on the reentry model; then, an optimal sample trajectory set is generated by using a pseudospectral method according to initial discrete altitude and speed; after that, a sample trajectory is generated according to a new discrete state at each waypoint. Then, the sample set is divided according to the waypoints, and the RBF neural network is trained respectively; the input of the RBF neural network is the discrete altitude and speed state, and the output is a state-control sequence from the current state to the target point. Finally, the RBF neural network is used to generate an optimal trajectory online. The simulation verifies that the confidence of the method is high and the error is small, and the generation efficiency of the optimal trajectory can be greatly improved.