19results about How to "Eliminate space" patented technology

The invention relates to the technical field of coal mining and rock mechanics numerical simulation, and discloses a stress field reconstruction method of a plane strain numerical simulation model for coal mining, and the method comprises the following steps: firstly, obtaining an actually measured vertical stress increment and an actually measured bearing pressure peak value position of a stope face; then, an initial plane strain numerical simulation model is constructed, the space error between the peak position of the simulated bearing pressure and the actual measurement position meets a preset threshold value by adjusting the excavation step pitch, and therefore the numerical simulation calculation state is locked to eliminate space-time dislocation; a simulation strain increment is extracted in a locked state, a theoretical vertical stress difference equation is constructed based on an elastic mechanics plane strain constitutive relation, and a parameter inversion equation set is established in combination with multi-measurement-point data; and solving the corrected elastic modulus and Poisson's ratio by using a least square optimization algorithm. According to the method, through physical state locking and incremental theory inversion, system errors are effectively eliminated, and the reconstruction precision and mechanical preciseness of the mining-induced stress field are improved.

The invention discloses a complex dynamic industrial visual positioning method and system based on multi-agent collaboration, and relates to the technical field of machine vision, distributed visual agent nodes are deployed in an industrial dynamic operation scene, and node microsecond-level time synchronization, space joint calibration and communication networking are completed; the nodes synchronously collect industrial images according to a preset time sequence, and a standardized data set is generated through preprocessing; dynamic target feature extraction is completed based on an improved deep convolutional neural network, and cross-node feature matching is completed in combination with epipolar constraints; a multi-view geometric constraint model is constructed to solve the three-dimensional pose of the target, and a positioning result is generated through dynamic interference compensation optimization; and outputting a positioning result, completing closed-loop feedback, and dynamically adjusting node parameters to realize multi-agent collaborative global optimization. According to the invention, the precision and the anti-interference capability of visual positioning in a complex dynamic industrial scene are improved, the multi-node load balancing is optimized, and the visual positioning operation requirements of various industrial dynamic scenes can be met.

The utility model discloses a kind of pull-out type discharge covers of heating and humidifying equipment, it includes discharge cover frame body, discharge cover frame body includes symmetrically arranged left metal baffle and right metal baffle, rear end of left metal baffle and right metal baffle is connected together by rear metal baffle, front end of left metal baffle and right metal baffle is connected together by flexible curtain, so that left metal baffle, right metal baffle, rear metal baffle and flexible curtain are enclosed into the material conveying channel that heating and humidifying equipment discharge end is communicated with vibrating trough feed end, the surface of left metal baffle, right metal baffle and rear metal baffle is evenly arranged with metal net, the top of left metal baffle, right metal baffle is evenly arranged with push-pull slide rail.The utility model has the characteristics of reasonable structure design, strong practicality, convenient to use, small maintenance difficulty etc.

The utility model provides a kind of steering walking integrated drive module, comprising: steering drive device, steering assembly and gyro wheel;Steering assembly is connected with the output end of steering drive device;Gyro wheel is connected with steering assembly;Walking drive device is integrated in gyro wheel to independently drive gyro wheel;Steering assembly is rotated to drive gyro wheel steering by steering drive device.The module of the application can be highly integrated in a module, completely eliminates the complex mechanical connection and space interference problem in traditional separate layout, saves a lot of valuable space, manufacturer does not need to select type, design and debug walking and steering system again, just need to install the module directly on chassis and connect bus and power supply, significantly shorten product development cycle, since each module can independently carry out 360 ° continuous steering and accurate speed control, by coordinating control multiple modules, more flexible movement mode can be provided.

The application provides a kind of aviation simulator visual angle real-time control method and device based on touch screen control, which comprises the following steps: obtaining corresponding touch data in response to user touch operation on the touch screen of display visual scene picture;Touch data is parsed into control instructions corresponding to visual angle change, different touch gestures are parsed into different types of control instructions, including visual angle direction adjustment instruction, visual angle scaling instruction and visual angle mode switching instruction;Based on visual angle direction adjustment instruction or visual angle scaling instruction, and the real-time state data of the observed carrier, the spatial parameters of the eye point in the target coordinate system are calculated;In response to visual angle mode switching instruction, switching is carried out between multiple visual angle modes including at least first visual angle mode and third visual angle mode;Based on the determined eye point parameters, the visual scene rendering engine is driven, so that the visual scene picture displayed on the touch screen is updated accordingly.The application can eliminate the feeling of operation fragmentation and provide intuitive and direct manipulation experience.

The application discloses a sparse view-based space 3D editing method, device and storage medium, relates to the technical field of 3D modeling, and discloses a sparse view-based space 3D editing method, which comprises the following steps: acquiring a plurality of sparse views containing a to-be-modeled object and a text editing instruction for specifying editing content in the sparse views; inputting the spliced sparse views and the text editing instruction into an image editing model trained in cross-view consistency to obtain a spliced image with global semantic consistency and local editing area alignment, wherein the image editing model is obtained through self-supervised training of a generated model of an insertion parameter fine-tuning module; dividing the spliced image into a plurality of multi-views with editing consistency, and inputting the multi-views into a three-dimensional Gaussian reconstruction model to obtain a three-dimensional model corresponding to the to-be-modeled object. Based on the above, the operation process and the calculation complexity of 3D space editing are simplified by relying on a feedforward processing architecture, and the three-dimensional editing effect and the editing efficiency are improved.

The invention provides a map construction method and device, equipment and a storage medium. Determining a positioning state of a current frame based on current frame data input by a sensor and a map set comprising a plurality of sub-maps; based on the positioning state, managing the map set, including updating or determining a current activity map; performing local optimization on the current activity map based on the managed map set; and fusing the optimized current activity map with other sub-maps in the map set, and performing global optimization on a fused result to generate a globally consistent target map. By adopting the method, the accuracy, continuity and global consistency of map construction are remarkably enhanced.

This invention relates to the field of building foundation pit deformation detection technology, specifically a machine vision-based method for detecting the deformation of anti-buoyancy anchor bolts. The method includes setting a high-contrast array of artificial marker points on the anchor bolt observation section, and using a fixed industrial camera to periodically acquire image sequences. An improved template matching algorithm is used to locate the pixel coordinates of the marker points, which are compared with a reference image to obtain a two-dimensional pixel displacement vector. This vector is then converted into a local three-dimensional spatial displacement by combining the camera's intrinsic and extrinsic parameters, constructing a three-dimensional displacement field. This three-dimensional displacement field drives a parameterized elastic foundation beam flexural deformation model to solve for and invert the axial strain distribution and lateral deflection curves of the anchor bolt. This method achieves non-contact, full-domain three-dimensional deformation acquisition. By coupling the three-dimensional displacement field with the foundation beam model, axial strain and lateral deflection can be acquired simultaneously, improving the completeness and accuracy of anti-buoyancy anchor bolt deformation detection.

The utility model provides a fixed frame gripping device with a spectacle lens elastic clamp, which is used for gripping a fixed frame, the fixed frame is provided with a horizontally arranged cross rod and a vertically arranged vertical rod, and the upper end of the vertical rod is fixedly connected with the lower end of the cross rod; the upper end of the grabbing plate is fixedly connected with the driving end of a manipulator; a first pneumatic finger and a second pneumatic finger are arranged on the grabbing plate; the driving end of the first pneumatic finger is provided with a first clamping block and a second clamping block. When the first clamping block and the second clamping block are closed, a U-shaped limiting groove with an upward opening is formed, and the transverse rod is inserted into the limiting groove. The driving end of the second pneumatic finger oppositely clamps the vertical rod; the clamping direction of the driving end of the first pneumatic finger is perpendicular to the clamping direction of the driving end of the second pneumatic finger. Under the common limiting effect of the first pneumatic finger and the second pneumatic finger, the movable space of the fixing frame in the horizontal direction is eliminated, the position of the fixing frame is kept stable, and displacement is avoided.

This invention relates to the field of population spatiotemporal distribution modeling technology, and proposes a population model generation method based on crowdsourced data, comprising the following steps: Step 1, collecting socioeconomic and natural environment data to obtain standardized multi-source raster data; Step 2, based on the standardized data, constructing a daytime population weight layer by training a heterogeneous basic regression model with five-fold cross-validation and building an adaptive spatial weighted support vector regression meta-learner; Step 3, extracting building volume and nighttime light intensity raster layers from the standardized data to construct a nighttime population weight layer; Step 4, constructing a non-working day population weight layer by weighted fusion based on the day and night weight layers; Step 5, constructing basic spatial mapping units to complete high-scale downscaling reconstruction of population space, obtaining initial high-resolution population distribution results; Step 6, introducing a time smoothing model to correct the temporal inconsistency problem of the initial results, generating the final population distribution model. This invention effectively solves the problems of insufficient spatiotemporal resolution, poor time-segment adaptability, and unreasonable assignment of missing data areas in traditional population distribution models, providing accurate, comprehensive, and highly usable population distribution data support for scenarios such as urban planning, resource allocation, and emergency management.

The application relates to the technical field of InSAR and discloses a wide-area deformation adaptive InSAR network adjustment method, which comprises the following steps: extracting an effective pixel coordinate set; based on the effective pixel coordinate set, a multi-target optimization function is constructed, the optimal model structure and the regularization parameter of each overlapping area are determined; a mapping model is constructed, the observation weight of each pixel is dynamically adjusted to suppress the influence of abnormal values, and the mapping model parameters of each image are obtained; the parameter feasible region of the curved surface fitting model is adaptively determined according to the geometric shape of the overlapping area, and the spatial curved surface parameters are obtained; the optimal absolute correction parameters of the global image are solved, and the consistent splicing result with the minimum global error and taking the central image as the reference is obtained. Through the introduction of the adaptive window mechanism driven by the time series coherence stability index and the terrain roughness, the adaptability of the robust identification of seasonal incoherent pixels and the extraction of effective observation points under complex terrain is enhanced.

A rotating target detection method and system based on entropy-guided angular super-resolution includes the following steps: constructing multi-layer pyramid features of the input image, and determining the deep features to be compensated based on the decrease in local directional expressive power caused by downsampling; calculating spectral angular entropy and frequency band energy saliency based on the local frequency domain directional energy distribution of the deep features, and generating a continuous angle compensation weight map; aligning high-frequency angular details in the shallow features to the deep features, and injecting them in the form of residuals under the guidance of the compensation weights; performing high-frequency context calibration on the enhanced multi-layer features, and outputting the rotating target detection result. This invention adaptively locates regions with insufficient directional evidence through spectral angular entropy, recovers deep angular details using shallow structural cues, improves the stability of the rotating bounding box localization, and has good plug-in deployment value.

The invention discloses an anti-error robust image steganography method based on background-noise-free low-frequency embedding, and the method comprises the steps: carrying out the preprocessing and hybrid coding of an original secret image, and generating a final secret embedded stream; 5 / 3 integer wavelet transform is carried out on the carrier image to decompose the frequency domain, a first-level low-frequency sub-band is extracted, texture activity is calculated in a blocking mode, and an embedded mask is generated; modulating and setting a quantization step size and a jitter bias based on a quantization index, and adjusting a block mean value and superposing an offset based on a bit to be embedded to complete embedding; the method comprises the following steps: performing integer wavelet transform and block statistics on a received image, obtaining an initial bit stream by using a minimum distance method of quantization index modulation, and reconstructing and outputting a secret image through anti-interleaving, error correction decoding, inverse whitening and inverse scrambling processing. According to the method, the problems of poor safety and weak burst error resistance of traditional steganography are solved, the balance of robustness and concealment is realized, and the reliability of covert communication under a complex channel is improved.

The application discloses a kind of tumor tissue MPIF-HE image registration and cell segmentation method and system, the method includes: obtaining multiple immunofluorescence MPIF dyeing tumor tissue section image and pre-processing and multi-channel separation, obtain the single-channel MPIF image after pre-processing;Based on HE dyeing image extraction tumor infiltration front area as registration reference, carry out registration to HE dyeing image and the single-channel MPIF image after pre-processing, obtain the HE image segmentation result after registration;Based on the HE image segmentation result after registration, demarcate region of interest, and carry out segmentation and phenotype classification to the immune cell in this region of interest by pre-trained cell segmentation model, obtain cell segmentation result.The application can improve the cell segmentation precision of cell concentration and complex background.The application can be widely applied to tumor pathological image analysis technical field as a kind of tumor tissue MPIF-HE image registration and cell segmentation method and system.

This invention discloses an error-resistant robust image steganography method based on low-frequency embedding without background noise. The method includes: preprocessing and hybrid encoding the original secret image to generate a final secret embedding stream; performing a 5 / 3 integer wavelet transform on the carrier image to decompose the frequency domain, extracting the first-level low-frequency sub-band, calculating texture activity in blocks, and generating an embedding mask; setting the quantization step size and jitter bias based on quantization index modulation, adjusting the block mean based on the bits to be embedded, and superimposing the offset to complete the embedding; performing integer wavelet transform and block statistics on the received image, obtaining the initial bit stream using the minimum distance method of quantization index modulation, and reconstructing the output secret image through deinterleaving, error correction decoding, inverse whitening, and inverse scrambling. This invention solves the problems of poor security and weak resistance to burst errors in traditional steganography, achieving a balance between robustness and concealment, and improving the reliability of covert communication in complex channels.

This invention discloses a data analysis method for inspection robots based on digital twins, relating to the fields of artificial intelligence and robotics. The method includes: S100, constructing a time-axis aligned model of the equipment to be inspected and the inspection robot based on 3D modeling technology, and establishing a standardized interaction interface for multi-source heterogeneous data; S200, constructing a four-layer structured digital twin evaluation system covering geometry, physics, behavior, and rules based on the time-axis aligned model; S300, defining physical perception nodes, virtual mapping nodes, and state evolution nodes, while introducing environmental interference factors, constructing a real-time mapping logic graph, and marking data interaction paths in the graph. By constructing digital twins of physical equipment and inspection robots, real-time mapping between physical and virtual spaces, multi-source heterogeneous data fusion analysis, accurate fault diagnosis and location, predictive maintenance, and dynamic optimization of inspection tasks are achieved, significantly improving the intelligence level of inspections and equipment operation and maintenance efficiency.

This invention relates to the field of spatial distribution management technology for power distribution circuit elements, and discloses a digital map system integrating BIM and GIS dynamic element synchronization functions. The system extracts the pose increment data of distribution circuit node entities in the local space of the building information model, and calculates the scale projection coefficient based on their physical reference coordinates in the geodetic coordinate system. The pose increment data is weighted and mapped by the scale projection coefficient to generate a standardized pose vector, and the spatial landing point is corrected by combining electrical topology constraint rules. This invention effectively solves the spatial tearing and cumulative drift problems caused by cross-scale mapping, realizes the accurate alignment between the logical connection state and physical spatial pose of distribution node entities, and ensures the physical authenticity of the topology structure in power system monitoring.

This invention provides a deep learning multimodal data terminal fusion method, relating to the field of data processing and information fusion. Its key feature is that it includes: acquiring multimodal input data, wherein the multimodal input data includes at least two of image data, text data, speech data, and sensor data. The advantages of this invention are: achieving deep semantic interaction between modalities through a multi-head cross-attention mechanism, overcoming the limitations of shallow semantic interaction in traditional methods; utilizing a spatiotemporal alignment module for time synchronization and spatial registration, eliminating temporal misalignment and spatial deviation, and preserving fine-grained structural information; simultaneously, a dynamic adaptive fusion module evaluates data quality and availability in real time, dynamically adjusts fusion weights, and automatically compensates for or resets weights to zero when modalities are missing, significantly improving the system's robustness and adaptability in complex environments.

This invention relates to the field of power grid equipment fault identification and scheduling technology, specifically disclosing a parallelized identification and scheduling method for multi-dimensional spectral image faults in power grid equipment. This invention synchronously acquires raw data streams from infrared and ultraviolet sensors, aligns them with a spatiotemporal reference using airborne inertial navigation information, and generates a registration synchronization data stream. Morphological analysis is performed on the infrared thermal field information to generate thermal field morphological guidance instructions, triggering conditionally activated ultraviolet processing tasks, performing adaptive integral processing, and generating high-confidence fault event signatures through temporal causal correlation verification. Finally, based on the deterministic level of the fault event signatures, a parallelized scheduling task package is generated and submitted to a cloud-edge collaborative computing network for differentiated identification and response processes. This invention achieves efficient correlation analysis across spectral features, improves the comprehensiveness and automation of fault identification, and enhances the intelligence level of power grid equipment inspection.