5results about How to "Overcome misjudgment" patented technology

The invention discloses a cable connection abnormity detection method, an in-place detection system and electronic equipment, and relates to the field of servers, the method comprises the steps that N pieces of state information are acquired, the ith state information in the N pieces of state information is obtained after the ith detector in N detectors carries out in-place state detection on the ith cable in the server, and the ith cable in the server is connected with the ith detector; n is an integer greater than or equal to 2; and determining whether the cable connection of the server in the current state is abnormal or not according to the N pieces of state information and the cable in-place requirement of the server in the current state. By adopting the technical scheme, the problem that in-situ detection cannot be well carried out on the internal cable of the server is solved.

The invention provides a gas-water interface monitoring method, device and equipment in a salt cavern energy storage project, and the method integrates a resistivity detection module, an audio density detection module and a magnetic positioning detection module into a single underground unit, does not need a central tubular column, and can synchronously collect three parameters only through one-time well descending. The depth reference of the casing shoe is accurately determined through magnetic positioning, the position of the gas-water interface is comprehensively calculated through complementary verification of two-parameter sudden change points of resistivity and density, and the measurement error of a single method is effectively eliminated. According to the method and the corresponding device and equipment, high-precision positioning of the gas-water interface is achieved, the monitoring efficiency is remarkably improved, the operation complexity and cost are greatly reduced, and reliable technical support is provided for safe and efficient operation of gas sealing of a salt cavern energy storage project.

The invention relates to the technical field of biological medicine, and discloses a multi-modal data analysis method for drug screening safety evaluation. By setting experiment duration and sampling intervals, multi-modal data such as genes and metabolites are collected from a drug treatment group and a control group at multiple time points, dimension standardization is performed on the two groups of data based on statistical characteristics of the control group, a comprehensive state vector is constructed, state changes of adjacent time points are utilized to form a discrete time differential component and a state evolution function, and a state evolution function is established. The method comprises the following steps: generating two groups of theoretical trajectories through initial state iteration, comparing the theoretical trajectories with actual observation at each time point to evaluate a multi-dimensional error, performing double accumulation in time and state dimensions to obtain a toxicity index of a drug treatment group and a baseline toxicity index of a control group, and calculating a dimensionless safety score for drug grading according to the relationship between the toxicity index and the baseline toxicity index. Therefore, the limitation of dependence on a single index or a single time point is overcome, and the multi-modal data fusion and full-cycle toxicity quantification capabilities are improved.

This invention discloses a method for diagnosing hearing aid earplug leakage using ultrasonic features based on intelligent sensors, belonging to the field of non-destructive testing technology. The method includes: acquiring initial state data of the hearing aid, performing signal modulation and parameter calibration to obtain an earplug configuration and control list; emitting ultrasonic detection signals to the hearing aid earplug according to the configuration and control list, simultaneously acquiring echo time-domain data, and performing a fast Fourier transform to generate amplitude-phase frequency response curves; and using an envelope detection method to coarsely extract features from the amplitude-phase frequency response curves to form acoustic impedance anomaly spectrum features. Through the constructed loss acoustic model, accurate inversion of leakage is achieved, significantly improving diagnostic accuracy. The SVM algorithm is used for defect classification, and sealing test instructions are generated according to preset rules, realizing closed-loop control from diagnosis to execution, significantly improving detection efficiency.

The invention belongs to the technical field of computer software, and particularly relates to a multi-source heterogeneous data fusion-based intelligent responsibility judgment method and system for a pick-up behavior, and the method comprises the steps: collecting a driver track, a communication recording text, environment information, driver reporting and order metadata, and generating a structured pick-up event through space-time alignment; extracting travel, environment, semantics and behavior reputation multi-dimensional features based on the event, and training a gradient boosting decision tree model; real-time lightweight risk intervention and off-line high-precision responsibility judgment are executed through the model, real-time intervention rapidly triggers reminding based on high-timeliness characteristics, and off-line judgment outputs violation probability based on full-quantity characteristics; artificial rechecking, appeal and arbitration results are returned to drive incremental learning of the model; and finally, differentially weighting the responsibility judgment result according to the historical reputation of the driver and generating an interpretable natural language basis. Through multi-source data fusion and a double-track responsibility judgment mechanism, the problem of high misjudgment rate caused by single data in a traditional method is solved.