7results about How to "Real time location" patented technology

The present application belongs to the technical field of mobile robot navigation, and particularly relates to a SLAM navigation method and system for a mobile intelligent cabinet, which comprises the following steps: acquiring a laser point cloud sequence and a grayscale image of the mobile intelligent cabinet and performing data cleaning; obtaining a geometric feature index based on the spatial jump distribution of the laser point cloud sequence; obtaining a visual texture index based on the local dispersion of the image gradient; calculating laser dynamic weight and visual dynamic weight by using the geometric feature index and the visual texture index, weighting and fusing the pose change quantity calculated by the single-line laser radar odometry and the visual odometry to obtain a fused pose quantity; and updating the global state based on the fused pose quantity and driving autonomous navigation. The present application can adjust the sensor weight in real time according to the environmental characteristics, solves the problem of positioning divergence in the long corridor of a shopping mall or a high-reflectivity environment, and improves the robustness of navigation.

The utility model relates to a glove embryo mouth supporting device and belongs to the glove production technical field. It aims at solving the problem that the existing single drive mouth supporting device cannot be adjusted horizontally and the die sleeve accuracy is poor. The device comprises a moving platform, a first movable part and a second movable part slidingly arranged on the platform, and a plurality of support plate assemblies. The left support plate and the right support plate of the support plate assembly are arranged on the first movable part and the second movable part respectively. The first drive mechanism and the second drive mechanism are arranged independently and are used for driving the first movable part and the second movable part to move respectively. By independently controlling the two drive mechanisms, the center line of the opening of the support plate assembly can be horizontally offset when the glove embryo is opened, and the position can be adjusted in real time. The utility model breaks the rigid structure of the traditional device through the design of double drive independent control, can accurately compensate the position when the die sleeve fails, thereby significantly improving the die sleeve success rate and the production efficiency and enhancing the adaptability of the equipment.

The invention discloses a transformer substation high-voltage chamber power equipment insulation fault early warning and positioning method based on supercomputing, and relates to the technical field of transformer substation early warning and positioning, and the method comprises the following steps: S1, collecting partial discharge signals in real time; s2, classifying signal types; s3, narrowband and broadband signal processing; s4, positioning a partial discharge source space; and S5, triggering graded early warning. According to the method, adaptive algorithms are adopted for wide-band and narrow-band partial discharge signal characteristics, the accuracy of direction-of-arrival estimation is improved through sub-array optimization and focusing matrix improvement, and a complex signal environment is effectively adapted; the positioning algorithm is fused with population initialization so as to avoid a local optimal solution and realize accurate spatial positioning of a partial discharge source; according to the overall scheme, early accurate recognition, real-time positioning and reliable early warning of faults are achieved, scientific support is provided for equipment operation and maintenance, major accidents of a power grid are effectively prevented, and safe and stable operation of a power system is guaranteed.

This invention discloses a method for extracting EIT-Stark spectral features of Rydberg atoms, comprising the following steps: A signal acquisition module acquires the initial EIT-Stark spectral signal, performs wavelet transform, calculates wavelet coefficients, and plots a two-dimensional image of the wavelet coefficients; the wavelet coefficients of the EIT-Stark spectral signal undergo a natural logarithmic transform and are classified, the inter-class variance of the two classes of wavelet coefficients is calculated, an optimization objective function is established, and the peak search range is obtained using the optimization objective function; within the peak search range, the local maximum values ​​of the wavelet coefficients are obtained through a sliding window with a fixed step size, and the corresponding local maximum values ​​at adjacent scales are connected to obtain ridge lines; based on the position of the maximum wavelet coefficient value at any scale on the ridge line, the centroid position of the spectral peak of the EIT-Stark spectral signal is obtained. This method achieves accurate, automatic, and real-time extraction of transmission peak positions and movement features, providing a reliable data foundation for electric field measurement and promoting the engineering application of electric field measurement based on the EIT-Stark effect.

The utility model provides an unmanned aerial vehicle infrared operation edge analysis box convenient to carry, and belongs to the technical field of unmanned aerial vehicle operation. The technical problem that data processing requirements of unmanned aerial vehicle operation cannot be met in the prior art is solved. The portable infrared operation edge analysis box for the unmanned aerial vehicle comprises a box body, an opening of the box body is provided with a box cover capable of being opened and closed, the opening is provided with a panel, the panel is provided with a lining pod installation opening, the lining pod installation opening is provided with a lining pod located between the lining pod installation opening and the box body, and the lining pod installation opening is provided with a box cover capable of being opened and closed. A network module, an edge analysis box and a power module are further installed at the bottom of the panel, buffering gaps are formed between the lining pod, the network module, the edge analysis box and the power module and the inner wall of the box body, and an external power connector is arranged on the box body. The utility model has the advantages of data analysis, easy movement, real-time communication with the unmanned aerial vehicle and the like.

The invention belongs to the technical field of battery manufacturing equipment, and discloses an intelligent tabletting device for sodium ion battery pole piece production, which comprises a pair of primary compaction rollers, a detection mechanism, a bracket, a pair of secondary compaction rollers, a hydraulic station, a base and a central controller, on-line detection, matrix type fixed-point heating and hydraulic drive type local secondary compaction are integrated after primary compaction, an intelligent closed-loop repair system is constructed, the system can identify local defects of the pole piece in real time and accurately position the local defects, then defect points are selectively heated and softened, and the defect points are subjected to secondary compaction. And finally, precise local pressure supplement is implemented by the independently-controlled compaction block, so that the defect that the defect cannot be repaired on line through traditional single compaction is fundamentally overcome, post scrapping is converted into on-line repair, the consistency and the yield of pole piece production are remarkably improved, meanwhile, material waste is reduced, and the production cost is reduced. And high-quality and low-loss intelligent production is realized.