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3results about How to "Improve diagnostic reliability" patented technology

Fuel cell online electrochemical impedance spectroscopy measurement method and device and storage medium

PendingCN122091644Astatus accurateAccurate fault warningFuel cellsFuel cellsElectrical battery
The invention discloses an on-line electrochemical impedance spectroscopy measurement method and device for a fuel cell and a storage medium, and the method comprises the steps: obtaining an initial value of an influence parameter which influences an EIS test result when the fuel cell is started, the influence parameters at least comprise the stack temperature, the stack voltage, the stack current and the low-frequency impedance; acquiring an actual measurement value of the influence parameter when the fuel cell runs; determining a target output value of each influence parameter according to the initial value of each influence parameter and the measured value of each influence parameter; and coupling the target output values of the influence parameters to obtain a high-frequency impedance value. By adopting the method, accurate online EIS diagnosis can be realized, and the diagnosis reliability of the battery state is improved.
Owner:BEIJING CAVAN NEW ENERGY AUTOMOTIVE CO LTD

Power transmission and distribution network end cloud collaborative risk prevention method and system based on dynamic routing

PendingCN122364760ASatisfy protectiveMeet the requirementsPathPingSemantic routing
The application discloses a power transmission and distribution network end cloud collaborative risk prevention and control method and system based on dynamic routing, relates to the technical field of power system automation, and comprises the following steps: collecting high-frequency time sequence electrical data in real time and constructing normalized time sequence characteristic vectors; inputting the time sequence characteristic vectors into a semantic routing network to calculate routing scores, comparing the routing scores with a preset threshold, and performing dynamic shunting after the comparison; when a local processing path on the end side is activated, a control instruction or a protection action signal is output by an end side execution model reasoning; when an end cloud collaborative processing path is activated, visual semantic features are extracted and jointly transmitted to a station end together with the time sequence features, and a station end cognitive large model is used for multi-modal fusion reasoning, to generate a treatment suggestion and return the treatment suggestion. Through the dynamic routing mechanism, the application realizes asymmetric collaboration of end cloud computing power, guarantees millisecond-level response speed, improves the research and judgment accuracy of complex faults, and significantly reduces communication bandwidth occupation and end side power consumption.
Owner:JIEYANG POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD

Carotid plaque detection and evaluation method and system based on multi-modal image feature analysis

The application relates to a carotid artery plaque detection and evaluation method and system based on multi-modal image feature analysis, wherein the method comprises the following steps: inputting a pretreated carotid artery ultrasound image into a target positioning model to obtain a carotid artery ROI region and a plaque ROI region; inputting the carotid artery ROI region and the plaque ROI region into corresponding structure segmentation models respectively to obtain carotid artery segmentation results and plaque segmentation results, and performing post-processing on the carotid artery segmentation results and the plaque segmentation results respectively to obtain a carotid artery binary mask image and a plaque binary mask image; extracting all contours from the carotid artery binary mask image and the plaque binary mask image by using a contour extraction algorithm, and selecting the largest contour as a carotid artery main contour and a plaque main contour; calculating plaque quantitative features according to the plaque main contour; and determining plaque smoothness according to the plaque quantitative features and the carotid artery main contour. The application can improve detection accuracy.
Owner:TEND.AI MEDICAL TECHNOLOGY (SHANGHAI) CO LTD