5results about How to "Shorten judgment time" patented technology

This invention relates to an endoscopic surgical navigation method and device based on video image augmented reality. The method includes: segmenting the key surgical areas of interest and selecting anatomical landmarks from preoperative CT images; installing passive tracking tools on the patient's surgical site and the endoscope; registering the real patient with a 3D model using calibrated probes and anatomical landmarks; calibrating the endoscope parameters under the navigation system; determining the transformation matrix of the passive tracking tool coordinate system relative to the endoscope coordinate system; projecting and rendering the 3D model of the preoperatively segmented key surgical areas of interest using a pinhole model simulation and processing it with distortion parameters to obtain a virtual image; and fusing the virtual image with images acquired in real time by the endoscope and displaying it. Compared with existing technologies, this invention fuses virtual images with real endoscopic images and presents them on the same screen, reducing the surgeon's intraoperative judgment time and lowering the difficulty of hand-eye coordination.

This invention relates to the field of intelligent monitoring technology for cold chain logistics, specifically to a method and system for handling abnormal temperature and humidity in refrigerated trucks. The method includes: real-time acquisition of multi-dimensional spatiotemporal temperature and humidity data via a multi-node wireless sensor network deployed within the truck compartment; extraction of temperature and humidity trends, fluctuation characteristics, and spatial distribution differences to construct a thermal environment state feature vector for the refrigerated truck; inputting this state feature vector into an abnormal warning model based on isolated forests and gated loop units to predict and identify potential refrigeration system failures, abnormal cargo respiration heat, or truck compartment sealing failures; and, based on the warning level, driving local audible and visual alarms and automatically adjusting refrigeration unit parameters via an edge computing gateway, and pushing the warning information and handling suggestions to a remote monitoring center and the driver's terminal via an IoT communication module. This invention improves the safety and energy efficiency of goods transported in cold chain logistics.

This invention provides a small-diameter TBM turning monitoring method and system for operators, relating to the field of TBM tunneling technology, including: S1, during the turning tunneling stage, acquiring the target turning radius, shield length, shield end face radius, and tunneling mileage of the TBM equipment, and solving the expected stroke value of each cylinder at the tunneling mileage using a rigid body kinematics model; S2, based on the distribution of cylinders on the shield end face, dividing the shield end face into four overlapping virtual functional surfaces, calculating the average expected stroke value of each virtual functional surface using the expected stroke value, and applying directional constraints according to the current turning direction of the TBM equipment and a preset redundancy to generate a surface threshold for each virtual functional surface; S3, detecting whether there are abnormal fluctuations in the actual stroke value of the cylinders according to the preset threshold, if so, proceeding to step S4; S4, calculating the stroke characteristic quantity of the virtual functional surface based on the actual stroke value, comparing the stroke characteristic quantity with the surface threshold to achieve risk visualization.

The utility model discloses a detection device, which comprises a support frame, a guide rail assembly, a detection tool and a display device, and is characterized in that the guide rail assembly is arranged at the top end of the support frame; the detection tool is arranged on the guide rail assembly, the detection tool can slide on the support frame through the guide rail assembly, and the detection tool is used for placing a product to be detected; the display device and the support frame are arranged at an interval, the display device is aligned with the ear canal hole of the product to be detected, and the display device is used for acquiring and displaying an amplified image of the ear canal hole of the product to be detected. According to the detection device, the burr detection efficiency can be improved, and the omission ratio of the to-be-detected product can be reduced.

The invention relates to the technical field of power system safety monitoring, and provides an intelligent power fire early warning system with a self-learning capability, which comprises a field sensing layer, a gateway layer, a server layer and an interaction layer, the field sensing layer comprises an electrical parameter acquisition module, a thermal parameter acquisition module and a fault feature acquisition module; the gateway layer comprises a data acquisition module which is responsible for collecting, converting, synchronizing and uploading data of each sensor of the field sensing layer; the server layer comprises a data processing module, a feature extraction module, a historical database, a self-learning analysis module, a disposal suggestion generation module and a man-machine interaction interface; the interaction layer comprises a linkage control interface and a user terminal. According to the invention, through two key technologies of multi-parameter fusion and closed-loop self-learning, two core defects of single monitoring dimension and static stiffness of an early warning model of a traditional power fire early warning system are fundamentally solved.