13results about How to "Improve build precision" patented technology

The invention discloses a three-dimensional model construction method and device, a storage medium and computer equipment, and relates to the technical field of financial science and technology and the technical field of digital medical treatment. Comprising the following steps: acquiring a two-dimensional image, and dividing the two-dimensional image into a plurality of panes; predicting a local approximate plane normal in a view angle range corresponding to each pane, determining a three-dimensional modeling starting point, determining a three-dimensional coordinate of the three-dimensional modeling starting point, taking the pane where the three-dimensional modeling starting point is located as a starting point pane, and taking the three-dimensional coordinate of the three-dimensional modeling starting point as a starting point center coordinate of a starting point local approximate plane corresponding to the starting point pane; determining a neighborhood pane adjacent to the starting point pane, and determining a neighborhood center coordinate of a neighborhood local approximate plane corresponding to the neighborhood pane based on the starting point center coordinate, a local approximate plane normal of the starting point pane and a local approximate plane normal of the neighborhood pane; and based on the starting point center coordinate and the neighborhood center coordinate, splicing the starting point local approximate plane and the neighborhood local approximate plane to obtain a three-dimensional model.

This invention provides a method and system for constructing a negative obstacle risk map, relating to the field of robot environmental perception technology. The method includes: acquiring multimodal sensing data of a legged robot in the current operating environment to obtain the types of negative obstacles, multiple candidate regions, and the corresponding confidence and uncertainty of each candidate region; using a risk diffusion algorithm, performing ink blurring processing based on the type, confidence, and uncertainty to generate a continuous risk field corresponding to each candidate region; dividing the continuous risk field to generate a continuous risk gradient distribution corresponding to each candidate region; performing terrain modeling based on laser point clouds, updating the continuous risk gradient distribution using Bayesian fusion to obtain a multi-level grid map, and then performing tactile closed-loop correction on the multi-level grid map to generate a risk cost map. This invention improves the accuracy of constructing a negative obstacle risk map.

The invention discloses a construction method and device for a mobile robot map and a storage medium, and belongs to the technical field of positioning and mapping. The construction method comprises the following steps: acquiring a current measurement point cloud and a current prediction pose of the mobile robot at a current moment; performing normal distribution transformation matching on the current measurement point cloud and a point cloud corresponding to the current prediction pose on a pre-constructed global voxel map to obtain a point cloud global matching residual error; performing iterative nearest point matching on the current measurement point cloud and a point cloud corresponding to a current prediction pose on a pre-constructed local dense map to obtain a current observation pose and a point cloud local matching residual error; determining a current actual pose according to the current observation pose, the current prediction pose and the point cloud local matching residual error, and obtaining a current actual point cloud matched with the current actual pose; and constructing a mobile robot map according to the current actual pose and the current actual point cloud. The method is used for improving the construction precision of the mobile robot map.

The invention discloses a geosteering method based on interactive seismic forward modeling establishment, and relates to the technical field of geosteering in oil-gas exploration and development. The method comprises the steps of firstly establishing a work area and constructing a seismic wave velocity field through an interactive interface, then generating a depth domain seismic section, then interactively drawing a stratigraphic position line and a fault line based on the section, discretizing the stratigraphic position line and the fault line into a space point set with geological attributes, then constructing a triangular mesh model based on the point set, identifying a stratigraphic framework, and finally, constructing a seismic wave velocity field based on the triangular mesh model. Then dynamically estimating shale content and porosity based on measured data of a drilled section, obtaining longitudinal wave velocity through rock physical forward modeling, extrapolating and interpolating the longitudinal wave velocity by combining a stratigraphic framework, establishing a velocity model for seismic forward modeling, and performing seismic wave field forward modeling to obtain a seismic wave field; and finally, carrying out multi-dimensional feature comparison on the forward modeling response and the actual seismic section, if a matching criterion is met, making a guiding strategy, otherwise, reversely adjusting model parameters and carrying out forward modeling iteration again until matching.

The invention relates to the technical field of data processing, in particular to a BIM model-based multi-party cooperative construction management and control method and system, and the method comprises the steps: obtaining the point cloud data of a real-time construction project, and determining the optimal thick side length of a voxel block according to the down-sampling rate of the point cloud data and the unit side length of the spatial distribution of the point cloud data; voxelization is carried out on the point cloud data based on the optimal coarse side length to obtain a plurality of voxel blocks, and the average density of point cloud distribution of the point cloud data in the voxel blocks is determined; determining the optimal side length of the voxel block according to the average density, the down-sampling rate, the optimal coarse side length and the unit side length, and performing down-sampling on the point cloud data based on the optimal side length to obtain a down-sampling project point cloud set of the real-time construction project; and constructing a BIM model of the real-time construction project by using the down-sampling project point cloud set, and managing and controlling the real-time construction project by using the BIM model. Therefore, the construction accuracy of the BIM three-dimensional model is improved.

The invention discloses a deep tight reservoir crustal stress field boundary condition inversion method integrated with machine learning, and belongs to the field of petroleum and natural gas engineering. The method comprises the following steps: firstly, constructing a fine three-dimensional heterogeneous modeling model through high-precision scanning and image processing; then, multi-source data such as hydraulic fracturing, acoustic emission and logging are fused, and the real ground stress of a target point is determined; an integrated machine learning model trained by an optimization algorithm is utilized to intelligently invert and generate a high-precision boundary load required by the crustal stress site; and finally realizing reliable prediction of the global crustal stress field. The method is used for providing key and reliable geomechanical basis and boundary condition input for well location trajectory optimization, hydraulic fracturing scheme design and development scheme adjustment of a deep tight reservoir, and effectively supporting safe and efficient drilling and effective utilization of reserves.

This invention discloses an error compensation method and system for sheet metal. The method includes: acquiring measured deviation data of sheet metal and theoretical part digital models; generating an adaptive parametric mesh based on local curvature characteristics; mapping the deviation data and weighted fitting to construct an error field; synthesizing a set of deviation vectors and extracting the dominant deformation mode; inputting mold deformation and material fluctuation parameters; generating a predicted deviation field through finite element simulation; obtaining an optimized predicted deviation field through residual optimization; extracting compensation vectors and inversely mapping them to the mold surface; determining the spatial distribution of compensation amount; generating adjustment instructions; and obtaining a mold error compensation and correction scheme. The method and system of this invention can achieve accurate and efficient compensation of sheet metal forming errors, meeting the high-precision and high-consistency production requirements of sheet metal processing in the field of industrial control technology.

The invention discloses a medicine formula adjusting method, and belongs to the technical field of intelligent medical treatment, and the adjusting method comprises the steps: obtaining a reactant component type and a reactant demand concentration based on a medicine formula effective component expected to be obtained; based on reactant component type requirements, constructing a medicine formula group; preparing an alternative formula according to the medicine formula group, and obtaining a by-product type; obtaining the accumulation speeds of all by-product types in different decoction environments, and establishing an association relationship between the decoction parameters of the traditional Chinese medicinal materials in the medicine formula group and the alternative formula; obtaining available formulas from the alternative formulas based on the effective components and the decoction parameters of the medicine formula expected to be obtained; when the actual effective component concentration is not lower than the effective component concentration in the effective components of the expected medicine formula, the available formula with the minimum by-product accumulation amount is obtained, and the medicine formula is obtained. The problem that the medicine performance guarantee effect is insufficient, especially the problem that the content of by-products is difficult to control is solved, and the medicine performance is effectively improved.

The invention discloses a diffusion model assisted channel map rapid construction method and system. The method comprises the following steps: firstly, acquiring channel information of a target area, and constructing channel map paired data; secondly, establishing a Markov chain between a fine-grained channel map and a coarse-grained channel map by using channel map residual transfer based on a latent diffusion model architecture, and constructing a channel map residual estimation network embedded with time steps; combining the channel map residual error estimation network with a pre-trained fine-tuned generative adversarial network to construct a latent diffusion model based on channel map residual error transfer; then training the constructed channel map residual error estimation network by adopting a supervised training mode to obtain an optimal parameter; and finally, quickly reconstructing a fine-grained channel map of a target area in the wireless communication system by using the trained model. Compared with a traditional generation diffusion model, the channel map construction method provided by the invention has the advantages that the fine-grained channel map can be constructed with fewer reasoning steps, and meanwhile, higher construction precision is realized.

The invention relates to the technical field of geological exploration, in particular to a primary wave and multiple combined full-waveform inversion method, which comprises the following steps of: based on an initial velocity model, performing numerical simulation by adopting a virtual surface source to obtain multiple simulation records of different orders; distinguishing according to a multiple order in the analog data, and constructing a multiple full-waveform inversion objective function of the corresponding order; an inversion gradient is calculated based on the objective function, and only the same-order multiples are matched and inversion is executed; sequentially carrying out inversion according to multiple orders from high to low, and taking a result of a previous order as an initial model of a next order; taking a multiple wave inversion result as a primary wave inversion initial model, and executing primary wave full-waveform inversion; and when a convergence condition is satisfied, outputting a final underground velocity model. According to the method, the dependence on the initial velocity model is reduced, and the stability and convergence of the inversion process and the construction precision of the underground velocity model are improved at the same time.

The application discloses a kind of based on twin neural network's rock block section three-dimensional modeling method and system, belong to geologic modeling technical field, can solve the problem of lower modeling precision and modeling efficiency of existing method.The method comprises the following steps: S1, obtains the first image and the second image of rock block section under different viewing angles;S2, based on feature normalization method, the loss function of twin neural network is improved, and the first feature representation of first image and the second feature representation of second image are determined using the improved twin neural network;S3, according to the first feature representation and the second feature representation, a feature matching cost function is constructed, and the disparity information of first image and second image is determined based on the feature matching cost function;S4, according to the depth information of disparity information, the depth information of first image and second image is determined, and a digital three-dimensional model of rock block section is constructed based on the depth information.The application is used to construct the digital three-dimensional model of rock block section.

This invention relates to the field of electrophysiological catheter technology, and particularly to a catheter assembly and system for constructing a cardiac internal model. The catheter assembly for constructing a cardiac internal model includes a catheter body, an ultrasound transducer, and a positioning sensor. The ultrasound transducer includes a first ultrasound generator and a second ultrasound generator. The first ultrasound generator is disposed at the end of the catheter body, and the second ultrasound generator is disposed circumferentially along the catheter body. The positioning sensor is disposed on the catheter body. This arrangement increases the ultrasound imaging range of the catheter assembly, improves the accuracy of constructing the cardiac internal model, and simultaneously determines the relationship between the ultrasound image presented by the ultrasound device and the positional information provided by the positioning system, thereby improving the accuracy of constructing the cardiac internal model.

This invention relates to a highly efficient underwater gravity field information measurement method based on swarm collaboration. It utilizes an unmanned swarm of underwater unmanned vehicles (UUVs) equipped with underwater gravimeters to simultaneously measure gravity information along multiple underwater survey lines. Using a surface vessel as a reference gravimeter, the underwater gravimeter is compared with the reference gravimeter before release and after retrieval to ensure consistency of underwater gravimeter measurement information. After release, the UUV navigates to the starting point of the survey line and, guided by a surface vessel, uses two-stage motion control to maintain the survey line's navigation and formation. Ultra-short baseline positioning and relative ranging are used to determine the UUV's precise position and velocity, enabling accurate compensation and correction of gravity measurements, acquisition of gravity anomaly information along the survey line, and construction of a gravity map. This invention achieves highly efficient underwater gravity measurement and rapid gravity map construction, improving measurement efficiency several times compared to traditional ship-based gravity measurement methods.