5results about How to "Real-time judgment" patented technology

The present application relates to the technical field of tool positioning, and discloses a tool positioning management and control system and early warning method based on RFID and video fusion, which comprises the following steps: establishing an association mapping of RFID tag unique code and tool unique identification and constructing a tool information file; configuring an electronic fence based on a management and control area space model, collecting RFID tag signals to perform area attribution inference, generating an RFID side position state and performing first stage state determination; obtaining a monitoring video stream that is spatially registered with the electronic fence space range, performing tool target detection, tool category confirmation and cross-frame target tracking on the video picture to obtain a video side tool existence state; and fusing the RFID side position state and the video side tool existence state to perform second stage determination, and starting a hierarchical early warning strategy to output alarm information according to the determination. The present application reduces the false judgment and missed judgment caused by single sensing.

The application discloses a kind of multi-channel sensing fusion systems for exposure stress judgment, it is related to sensing fusion technical field, for solving the problem of insufficient accuracy of stress exposure state judgment, by the monitoring equipment corresponding to the working individual, the respiratory rhythm, the heart beat interval, the skin electricity response and the action trajectory such as multi-dimensional physiological and behavioral parameters in the working process are continuously collected, the multi-channel stress state observation basis is constructed, the feature extraction and abnormal discrimination of each channel data are carried out, the state mode is classified modeling using pattern recognition method, combined with cross-channel consistency analysis and causal order constraint, the abnormal response is comprehensively evaluated, when the evaluation result meets the preset stress exposure determination condition, combined with action trajectory characteristics, the stress exposure grade of working individual is graded determination, and according to the determination result, continuous monitoring or event record and information upload operation is selected, realize the automation, real-time judgment of stress exposure state.

This disclosure relates to the technical field of automotive brake testing, and discloses a method, device, and system for health monitoring of electromechanical braking systems. The method includes: acquiring, during a braking test of the electromechanical braking system, the ideal clamping force value, the actual clamping force value, spatial magnetic field distribution data generated by the hub motor, and mechanical vibration signal data of the braking components; determining a clamping force influence function based on the difference between the ideal and actual clamping force values; determining a magnetic field difference value based on the spatial magnetic field distribution data; fusing the clamping force influence function, the magnetic field difference value, and the mechanical vibration signal data to obtain a comprehensive degradation index; comparing the comprehensive degradation index with a pre-acquired comprehensive health evaluation threshold, and determining the health monitoring result of the electromechanical braking system based on the comparison result. This method can achieve real-time determination of the health status of the electromechanical braking system during operation.

This invention discloses an active acoustic motion sickness suppression system and method for electric vehicles based on multimodal information fusion. The system includes a signal acquisition module, a data processing and motion sickness level recognition module, an acoustic signal generation module, and an onboard sound device. The signal acquisition module collects vehicle motion parameters and occupant physiological state data. The data processing and motion sickness level recognition module fuses and analyzes the raw EEG signals and vehicle motion parameters, outputting a motion sickness level judgment result. The acoustic signal generation module uses an order synthesis algorithm to enhance the corresponding parameters of specific order harmonics, amplifying the synthesized audio signal as an acoustic intervention signal. The onboard sound device receives the acoustic intervention signal and plays the intervention sound. This invention achieves accurate judgment of motion sickness and can dynamically generate highly correlated acoustic intervention signals based on the unique vehicle motion parameters of electric vehicles, compensating for auditory information gaps and achieving a motion sickness suppression effect.

This invention provides a method for determining the initiation of fractures in low-maturity shale heated by supercritical carbon dioxide, belonging to the technical field of low-maturity shale. This invention obtains multi-field coupling parameters by integrating conventional well logging, core experiments, and formation testing data. It then calibrates key coefficients through high-temperature mechanical experiments, hydrocarbon generation pressurization experiments, pyrolysis kinetic experiments, and supercritical carbon dioxide immersion experiments. These parameters are substituted into the multi-field coupling fracture initiation pressure formula to calculate the fracture initiation pressure at each moment. The input to the physical constraint graph attention recursive network outputs corrected fracture initiation pressure and safety margin. When the safety margin is lower than the warning threshold, a two-step approximation method is used to predict the fracture initiation time and adjust the construction parameters. This solves the technical problem of being unable to accurately determine the fracture initiation time of low-maturity shale heated by supercritical carbon dioxide under multi-field coupling conditions in real time.