10results about How to "Guaranteed reconstruction accuracy" patented technology

The invention discloses a rolling bearing fault detection method and system based on mechanism and data fusion, and relates to the technical field of equipment state monitoring and fault diagnosis, and the method comprises the steps: collecting a multi-source operation state signal and an operation condition parameter of a rolling bearing in real time; constructing and solving oscillatory differential equations under different fault types based on the signals and the parameters in combination with a rolling bearing dynamical model, and generating a mechanism feature library; denoising vibration signals in the multi-source operation state signals, and performing data reconstruction on the denoised vibration signals based on a gamma hybrid model; generating a high-dimensional data feature set according to the reconstructed vibration signal, and performing dimension reduction on the high-dimensional data feature set by adopting a matrix t-SNE algorithm to obtain low-dimensional data features; constructing a joint feature set according to the low-dimensional data features and the mechanism features, and calculating a health index; and the severity and position of the fault are judged based on the joint feature set and the health index, so that the precise detection requirement of the early-stage tiny fault of the rolling bearing under the complex working condition can be met.

The invention relates to the technical field of computer vision and coal mine intelligent mining, and discloses a lightweight working face three-dimensional reconstruction method and device fusing geometric prior constraints, and the method comprises the steps: firstly screening a dynamic effective region based on a projection relation and texture features, and removing static redundant scenes; performing sparse visual reasoning and depth regression only for the effective area to generate an initial depth map; carrying out physical structure correction on the depth map by utilizing geometric priori such as vertical upright posts and parallel top plates of the hydraulic support; and finally, constructing an optimization objective function containing deviation constraints of the vertical column perpendicularity and the top plate parallelism, and completing high-precision fusion of the incremental point cloud. According to the method, inference delay is reduced by reducing invalid calculation, structural distortion and registration drift caused by an underground severe environment are effectively inhibited by using a geometric law, and real-time and high-fidelity reconstruction of a working face scene is realized.

The invention relates to a three-dimensional reconstruction method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps of obtaining a structured light stripe image; the structured light stripe image comprises a first view and a second view; performing phase decomposition on the structured light stripes in the first view and the second view to obtain a first phase diagram and a second phase diagram; based on a depth and parallax mapping relation of the structured light stripe image, determining a parallax search range corresponding to a first target pixel point in the first phase image in the second phase image, and performing matching according to the parallax search range to obtain a second target pixel point in the second phase image; disparity maps of the first phase diagram and the second phase diagram are obtained according to the first target pixel point and the second target pixel point; and performing three-dimensional reconstruction on the structured light stripe image based on the disparity map to obtain point cloud data. By adopting the method, the three-dimensional reconstruction efficiency can be improved.

The invention discloses a regeneration method of a molybdenum removal extraction agent for a waste acid system, and belongs to the technical field of extraction agent regeneration. The method comprises the following steps: adding 0.05-0.1 wt.% of polybasic carboxylate, organic phosphonate or hydroxy carboxylate complexing agent into a 5-8wt.% carbonate buffer system, mixing a water phase and an aging extraction agent according to a phase ratio O / A of 1: 1, reacting at 20-35 DEG C for 8-12 minutes, and separating an organic phase from a weak base phase. And washing the organic phase with 0.5-1.0 mol / L sulfuric acid according to a phase ratio O / A of 1: 1, separating, washing with water, and separating the organic phase from the water phase again. And dehydrating the organic phase until the water content is less than or equal to 150ppm, contacting the organic phase with a pre-equilibrium liquid containing sulfuric acid and / or sulfate according to a phase ratio O / A of 1: 1, so that the acid value of the organic phase is 0.10-0.35 mg KOH / g, and recovering the addition ratio of TBP.H2SO4 to 0.05-0.20 mol / mol. Adding 50-200ppm of hindered phenol antioxidant into the organic phase, filtering, and then sealing and aging at room temperature; the regenerated extraction agent has the advantages of low water content, stable acid value, improved interfacial tension, elimination of metal poisoning, good phase behavior, extraction capacity recovery degree of more than 90%, stable long-term cycle performance, and no generation of emulsification and third phase.

The application discloses a real-time reconstruction method of a dynamic human body, which comprises the following steps: connecting a human body measuring device; solving camera internal parameters and relative poses between two cameras; collecting a reference state image; dividing a speckle area; three-dimensionally reconstructing the reference state; collecting images on a time sequence; three-dimensionally reconstructing human body speckles on the time sequence; and quickly triangulating a dynamic three-dimension point cloud. On the premise of ensuring reconstruction accuracy, the point cloud density of the reconstructed human body data can be greatly improved, the reconstructed point cloud data can more fully express local details of the human body, real-time calculation of the dynamic human body can be completed, and online measurement and reconstruction of the human body can be realized.

The present application relates to a kind of image thick cloud removal pre-processing method for high-performance video coding application, it is related to image processing technical field, solve the technical problem that it is difficult to fully capture cross-scale complementary features, there is deficiency in the balance between global structure and local detail.The pre-processing method includes: based on the guided image estimation of non-subsampled shearlet transform and the cloud removal model of full connection tensor decomposition guided by non-subsampled shearlet transform to carry out multi-time remote sensing image thick cloud removal.The present application is an image thick cloud removal pre-processing method for high-performance video coding application, realizes the generation of high-quality reference image: to obtain the reference image containing more details, first, the multi-time remote sensing image is carried out gamma correction, to normalize radiation intensity;Subsequently, improved adaptive PCNN fusion algorithm is applied in NSST domain, thereby enhancing detail representation while maintaining image energy distribution, finally, high-quality reference image is obtained.

The invention provides a calibration method, a reconstruction method, a calibration system and a reconstruction system.The calibration method comprises the steps that a three-dimensional scanning device is controlled to scan a two-dimensional code on a calibration plate, and a real world coordinate set of a first mark graph and a second mark graph in a world coordinate system is obtained; controlling the three-dimensional scanning device to acquire a calibration image comprising the calibration plate, and identifying a first mark graph and a second mark graph on the calibration image to obtain image coordinates of the mark graphs in an image coordinate system; positioning the direction of the calibration plate by using the first mark graph, obtaining the first mark graph and the second mark graph in combination with the direction of the calibration plate, and obtaining real-time world coordinates from the real-world coordinate set; and calibrating the three-dimensional scanning device through the real-time world coordinates and the pixel coordinates of the first mark graph and the second mark graph to obtain calibration parameters of the three-dimensional scanning device. The calibration method provided by the invention is more convenient to operate and has higher calibration precision and reconstruction precision.

The invention discloses an environment and channel state information joint reconstruction method and system. Wireless channel measurement data and environment information are collected in a target area through downlink detection and perception, the environment information in the target area is defined through a binary representation method and serves as a mask to be coupled with channel state information, and a novel channel fingerprint coupling the environment information and the channel state information at the same time is obtained; by constructing a conditional variation auto-encoder network model, a high-resolution channel fingerprint is used as a reconstruction target, a low-resolution channel fingerprint is used as condition input, the high-resolution channel fingerprint is mapped to a potential space through an encoder, and the high-resolution channel fingerprint is reconstructed through a decoder under the given low-resolution channel fingerprint condition. According to the invention, on the premise of ensuring high fidelity of channel state information, accurate environment perception is realized, pilot frequency overhead and perception measurement overhead in an actual system are effectively reduced, and the method has good scene adaptability.

The application discloses a big data-based equipment operation anomaly detection method and system, relates to the technical field of equipment detection, and comprises the following steps: obtaining historical operation data of a target equipment in a healthy state, and constructing a high-dimensional equipment operation big data pool; constructing and training a deep autoencoder, and establishing an equipment health baseline set for the target equipment; obtaining real-time operation data of the target equipment, and calculating an encoding residual error vector of the real-time operation data relative to the equipment health baseline set; taking the encoding residual error vector as an analysis target, inputting the encoding residual error vector into a pre-trained lightweight classifier for anomaly classification detection, and outputting operation anomaly information according to the anomaly classification detection result. The technical problems of low equipment anomaly detection precision, high false alarm rate and difficulty in adapting to complex working condition changes in the prior art are solved.

The invention relates to the field of atmospheric wind field modeling, and provides a full-scale wind field numerical reconstruction method for low-altitude torrent accompanying wind direction vertical shear in order to improve calculation efficiency, which directly takes target statistical characteristics as a driving target, concentrates calculation resources for a most critical structural wind field interaction area, and improves the calculation efficiency. By iteratively adjusting the parameter of a single control point of the entrance boundary, the wind field at the target position can be quickly converged to the predetermined feature, and high-resolution solution does not need to be performed on the whole atmospheric boundary layer, so that the order of magnitude improvement of the calculation efficiency is realized on the premise of ensuring the reconstruction precision of the wind field at the target position.