7results about How to "Guaranteed reversibility" patented technology

The invention discloses a heterogeneous time series data fault causal tracing method, which comprises the following steps of: converting discrete variables into hidden continuous variables with higher information granularity through context adaptive excitation Gaussian kernel embedding, and further realizing causal discovery in a unified continuous space; in the potential continuity recovery stage, guiding information of continuous variables is introduced by designing a prediction task, parameters of context self-adaptive excitation Gaussian kernel embedding are adjusted in a self-supervised mode, the potential continuity recovery capacity is enhanced, and reversibility of the recovery process is ensured through a reconstruction mechanism; in the causal structure learning stage, key causal relationships are screened through sparse regularization constraints, an overall causal graph is constructed, and support is provided for fault analysis. According to the method, the time sequence causal relationship can be accurately determined in a heterogeneous variable scene, important reliable information is provided for root cause traceability of process faults, accurate diagnosis of fault sources is assisted, and therefore the safety of actual production is effectively guaranteed.

The present application relates to the technical field of nerve stimulation, and discloses a closed-loop vagus nerve precise blocking system and method based on physiological signal feedback, comprising a physiological signal monitoring unit for acquiring physiological signals of an individual in real time; a data acquisition and analysis module connected with the physiological signal monitoring unit, for receiving and analyzing the physiological signals, judging the physiological state of the individual, and generating a feedback signal; a stimulation device unit for outputting an electric stimulation signal based on the feedback signal, so that the vagus nerve stimulation reaches a functional block state; and a closed-loop feedback unit connected with the data acquisition and analysis module and the stimulation device unit, for dynamically adjusting the stimulation parameters according to the feedback signal and controlling the electric stimulation signal of the stimulation device in real time. Through the real-time monitoring and real-time feedback mechanism, the present application realizes functional block of the vagus nerve, and ensures the accuracy, safety and individualization of the inhibition operation.

This invention discloses a method and system for anomaly identification in multi-source monitoring data of steel structures, belonging to the field of steel structure monitoring data processing technology. The method includes acquiring multi-source monitoring data of steel structures and unifying time-scale alignment, generating a preprocessed dataset containing working condition features and quality markers. Based on the working condition features, the physical baseline prediction value is calculated; based on the preprocessed dataset, the data baseline prediction value is calculated, and dual residuals are obtained. The physical residual strength is calculated based on the dual residuals; and the residual inconsistency degree and sliding window adaptive threshold are calculated to output anomalies. This invention constructs a stable input through unified time-scale and quality marker constraints, generates physical and data dual baselines in parallel, and outputs dual residuals. Online discrimination is completed using correlation robustness strength + residual divergence adaptive weight + sliding window threshold, achieving an interpretable, traceable, and more robust anomaly identification process for long-term monitoring under working condition drift.

The application provides a non-fluoropolymer, a non-fluoropolymer composite diaphragm and application, the non-fluoropolymer includes polymer A and the polymer B at least partially coated on the surface of polymer A, the crosslinking degree of polymer A is X1, the crosslinking degree of polymer B is X2, 5%≤X1≤10%, 50%≤X2≤60%;The non-fluoropolymer composite diaphragm includes base film and coating layer coated on at least one side of base film.The non-fluoropolymer particles of the application have a higher swelling rate at high temperature, also have the reversible characteristics of absorbing and releasing electrolyte, the non-fluoropolymer and the non-fluoropolymer composite diaphragm are applied in the battery, when the battery abnormally heats, the non-fluoropolymer swells rapidly, blocks the ion shuttle channel, avoids the further deterioration of temperature, improves the safety performance of the battery, and when the temperature returns to normal, the non-fluoropolymer particles can restore to the original morphology, restore the ion shuttle channel, so as to not affect the subsequent cycle performance of the battery.

The present invention discloses a support-anchor composite reinforcement structure and method for a rammed earth wall, comprising a through-anchor structure, a patching structure and a support frame structure arranged on a site wall; the support frame structure is supported on the site wall, and the through-anchor structure penetrates through the site rammed earth wall and the support-anchor connector of the support frame structure and is fixedly connected; the patching structure injects a gap grouting body into the gap of the site wall, and adobe brick masonry is built on the missing part of the site rammed earth wall to achieve composite reinforcement of the site rammed earth wall. The present invention is a composite reinforcement structure that integrates anchoring, patching and supporting technologies, and solves the local and overall stability problems caused by longitudinal cracks and foundation erosion diseases in earthen sites. Under the premise of meeting the principles of cultural relics protection, the local safety of the site is improved, stress concentration is alleviated, and the overall stability and anti-overturning ability of the wall are greatly improved.

The invention relates to the technical field of bridge parameter prediction, and discloses a quasi-static full-analytic analysis method for a pier, a terminal and a storage medium. According to the method, a known quantity is acquired according to section information of a pier, so that an equation set is constructed based on a curvature distribution model; then calculating two dimensionless variables corresponding to each displacement in a known displacement vector by using an iteration method, thereby forming two known vectors corresponding to the known displacement vector; and finally, two known vectors are substituted into the equation set, so that the mapping relation between the transverse force and the predicted displacement, namely the skeleton curve, is obtained. According to the invention, rapid evaluation of the anti-seismic performance of the round common reinforced concrete pier is realized, the skeleton curve can be obtained only by inputting key information, and a simple and effective tool is provided for scientific research.

The invention provides an equipment fault intelligent early warning system and method based on the Internet of Things, and relates to the technical field of fault detection, the system comprises an equipment terminal, a multi-modal data acquisition device, an edge end, a cloud end and a user terminal; the equipment terminal is connected with the cloud end through the multi-modal data acquisition equipment and the edge end in sequence; the equipment terminal is connected with the cloud end through the multi-modal data acquisition equipment, and the multi-modal data acquisition equipment is used for acquiring real-time data of the equipment terminal and transmitting the real-time data to the cloud end; the edge end and the cloud end are both connected with the user terminal, and the user terminal is notified when an equipment fault occurs; the user terminal is connected with the equipment terminal so as to control start and stop of the equipment terminal through the user terminal. The whole system carries out fault early warning on the equipment in a cloud side cooperation mode, and the equipment fault prediction accuracy is ensured while the early warning real-time performance is maintained.