13 results about "Critical condition" patented technology

The application discloses a multi-modal adaptive electrochemical synapse electronic skin and a closed-loop anti-skid control system thereof, relates to the technical field of flexible electronic skin, and comprises a multi-modal electrochemical electronic skin, wherein the multi-modal electrochemical electronic skin is composed of a sensing unit, a signal processing unit and a substrate layer unit; the sensing unit is used for acquiring a stimulation signal by the multi-modal electrochemical electronic skin; the signal processing unit is used for converting and transmitting the acquired signal; and the substrate layer unit is used for integrating the sensing unit and the signal processing unit and forming the electronic skin. The application realizes multi-modal sensing of the stimulation received by the electronic skin through a multi-modal sensing layer, predicts the critical condition in the early stage of slip occurrence, dynamically generates a control strategy according to the characteristics of an object, feeds back and adjusts an actuator, adjusts the actuator in real time, and improves the accuracy and efficiency of the system in the judgment of a complex scene.

The application discloses a kind of numerical simulation method and system based on fracture mechanics of water turbine blade failure process, comprising: introducing initial crack defect in blade three-dimensional geometric model;Based on the blade three-dimensional geometric model, the joint simulation of hydrodynamics and structural mechanics is carried out to the blade, and the stress and strain distribution of crack tip region is obtained;From the stress and strain distribution of crack tip region, the key parameters of crack tip are extracted;Using the key parameters of crack tip, according to crack propagation criterion, the crack propagation rate and propagation path are determined;In the process of crack propagation, the grid is dynamically encrypted and reconstructed, the crack front position is updated, until the crack reaches critical condition, and the failure life prediction result of blade is output, the method and system can not only predict crack propagation rate and path, but also determine the critical life of blade, realize the whole process simulation of crack from initiation, expansion to final fracture.

This invention discloses a method and system for predicting roof pressure in fully mechanized mining faces with ultra-large mining spaces. The method involves establishing a digital model of the overburden structure; collecting multi-source monitoring data of the target working face through a sensor network; mapping the multi-source monitoring data to the same advance distance coordinate system; obtaining corresponding stable data feature sets based on the digital model of the overburden structure; determining the first state vector of each zone based on the stable data feature sets and the digital model of the overburden structure; determining the fracture triggering result of each zone based on the corresponding fracture critical conditions and the first state vector of each zone; inputting the stable data feature sets, the first state vectors of each zone, and the fracture triggering results of each zone into a fusion prediction model to obtain joint prediction results; and generating multi-level risk warning information based on the joint prediction results and displaying it visually. This invention achieves spatiotemporal joint prediction of the entire roof pressure process, thereby improving the accuracy of roof pressure prediction results.

The present application relates to a kind of large passenger flow early warning threshold dynamic calibration method, system and electronic equipment.The large passenger flow early warning threshold dynamic calibration method includes: based on historical accident multidimensional feature construction accident image base;From accident image base, extract main risk inducement and secondary risk inducement, to form multiple risk inducement combinations;Based on association rule mining model, the mapping rule between risk inducement combination and passenger flow critical condition is established;According to the real-time risk inducement combination corresponding to current passenger flow scene, the passenger flow critical condition corresponding to this real-time risk inducement combination is matched from mapping rule;Based on corresponding passenger flow critical condition, update existing early warning threshold.The present application is helpful to realize the dynamic calibration of large passenger flow early warning threshold, improve the adaptation ability of early warning threshold to different passenger flow risk scenarios, so as to improve the accuracy and reliability of large passenger flow early warning, provide high adaptability technical support for public transport large passenger flow safety control.

The present application relates to a kind of longwall face mining overburden space pressure-relief range determination method, with stress recovery distance of goaf as core input parameter, by "FLAC3D numerical simulation quantification+ similarity simulation verification correction+ three-dimensional parameter definition" technical thought, constructs overburden stress-displacement field simulation model, defines standardization pressure-relief parameter and critical condition, realizes the accurate quantification division of overburden space pressure-relief range, solves the core defects of traditional method.

This application discloses a suitability testing method for ultrasonic machining of honeycomb core materials, belonging to the field of honeycomb core material machining technology. The suitability testing method includes: determining the critical conditions of the process based on material properties and quality requirements; establishing a mapping relationship between material parameters and cutting forces and inversely calculating the critical cutting force; subsequently calculating the motion state and impact force of the tool under ultrasonic vibration; and finally, determining whether ultrasonic machining can be used based on the comparison between tool displacement and material fracture limit, and impact force and critical cutting force. This application can quickly determine the suitability of ultrasonic machining for new material honeycomb core parts without requiring extensive trial cutting experiments, effectively saving time and costs, and improving the application efficiency and accuracy of parameter determination of ultrasonic processes.

A power transformer external short-circuit winding axial stability rapid judgment method, system, medium and equipment. In the method, a power transformer winding axial vibration calculation model is established; by changing the short-circuit current amplitude, the characteristic value of the stress-strain curve of the cushion block and the pre-tightening force, the critical condition of the separation of the line pie and the cushion block of the winding is obtained, and the three-dimensional atlas of the critical state of the vibration separation of the line pie-cushion block is drawn. An axial stability analysis system of the power transformer under the external short-circuit impact in the running state is constructed, the above method corresponding calculation instruction is run by the local deployment computer, the short-circuit current peak value is extracted according to the current recording wave graph under the external short-circuit fault of the power transformer, and the fault point is determined in the three-dimensional atlas according to the actual pre-tightening force of the winding and the stress-strain curve of the cushion block. According to the relative relationship between the fault point and the critical state interface, the axial stability of the external short-circuit winding is rapidly judged.

The application discloses a traffic adaptive safety switching control method and system, computer equipment and a medium, and belongs to the technical field of intelligent traffic, comprising the following steps: constructing a lattice fluid dynamics model, performing linear stability analysis to obtain a critical condition; periodically judging whether the current traffic flow state tends to be unstable based on the critical condition; when the current traffic flow state does not satisfy the critical condition or the traffic oscillation amplitude in the current traffic flow state exceeds a preset threshold, generating an adaptive safety switching controller enabling instruction; activating and running an adaptive safety switching controller based on road network geometric characteristics according to the adaptive safety switching controller enabling instruction; and feeding back the control signal as an additional adjustment term to the flow evolution equation of the lattice fluid dynamics model, so as to obtain a closed-loop control optimized lattice fluid dynamics model. The method improves the anti-interference ability, overall stability and driving smoothness of intelligent networked vehicle traffic flow in a mixed geometric road network environment.

The application discloses a new energy ship power equipment operation and maintenance analysis method, through collecting multi-physical field operation, microstructure and historical failure data and correcting and standardizing processing time sequence deviation, a high-quality coupled data sample set is generated. By constructing a physical constraint layer embedded with a physical field coupling equation and a fault mechanism knowledge graph and injecting a model training loss function, the obtained multi-physical condition calculation model can accurately depict the multi-field coupling characteristics and fault evolution law, and improve the complex working condition adaptation ability. By extracting multi-dimensional features and weighted fusion dimension reduction, a core fault feature vector is generated, and the fault essence is accurately captured. Through the meta-learning algorithm, the pre-training model is fine-tuned to obtain a fault analysis large model, which improves the small sample scene analysis accuracy and generalization ability, and can clearly trace the fault evolution path, define the coupling critical condition and establish the micro-macro mapping relationship. Through the feedback of the real ship, the model and the knowledge graph are updated in a closed loop, and the operation and maintenance accuracy is ensured to be stable for a long time.

This invention discloses a method, device, and medium for temperature measurement and cracking risk early warning of large-volume concrete, relating to the field of concrete risk early warning technology. The method includes: determining shrinkage-driven signs using baseline thermal strain sequences and data from a monitoring dataset; calculating risk ratios for areas exhibiting shrinkage-driven signs to form a shrinkage-dominant precursor risk identification result; calculating temperature and humidity disturbance ratios for sampling locations near the cooling zone to form a cooling side effect identification result; and combining the shrinkage-dominant precursor risk identification result with the cooling side effect identification result to perform regional-level and structural-level cracking risk early warning determinations for the concrete structure, storing the results in a monitoring database. This invention, by combining thermal strain differentials with humidity change trends, achieves a quantitative assessment of shrinkage-driven effects and can identify critical conditions for crack initiation in advance.

This application discloses a method for the operation and maintenance analysis of power equipment for new energy ships. It generates a high-quality coupled data sample set by collecting multi-physics field operation, microstructure, and historical fault data, followed by time-series deviation correction and standardization. By constructing a physical constraint layer embedding physical field coupling equations and a fault mechanism knowledge graph, and injecting a model training loss function, the resulting multi-physics condition calculation model can accurately characterize multi-field coupling characteristics and fault evolution patterns, improving adaptability to complex operating conditions. By extracting multi-dimensional features and weighted fusion for dimensionality reduction, a core fault feature vector is generated, accurately capturing the essence of the fault. A large-scale fault analysis model is obtained by fine-tuning the pre-trained model using a meta-learning algorithm, improving the analysis accuracy and generalization ability for small sample scenarios. This allows for clear tracing of fault evolution paths, definition of coupling critical conditions, and establishment of micro-macro mapping relationships. Real-ship feedback enables closed-loop updates of the model and knowledge graph, ensuring long-term stability of operation and maintenance accuracy.

The embodiment of the present application relates to the field of ship ice prevention, and particularly relates to a ship driving window ice prevention method and system. The method comprises: capturing relative head-on airflow during ship navigation; performing acceleration processing on the relative head-on airflow to obtain accelerated airflow; spraying the accelerated airflow along the outer surface of the ship driving window according to a set ice prevention critical condition through an airflow spraying device to generate an attached air curtain on the outer surface; the ice prevention critical condition comprises: the speed of generating the attached air curtain is greater than or equal to an ice prevention standard value; the ice prevention standard value is the larger one of a first critical value and a second critical value; the first critical value is a critical value of airflow speed corresponding to the deflection of ice crystal particles, supercooled water droplets or initial ice nuclei under the action of the relative head-on airflow; and the second critical value is a critical value of airflow speed corresponding to the destruction of the adhesion of ice crystal particles, supercooled water droplets or initial ice nuclei.

A system (100) for decoupling a high-voltage (HV) connector assembly (102) for an electric vehicle, which ensures safe decoupling of HV connectors (104, 108) during routine maintenance, repair, and emergency situations, comprises a plug (104) and a socket (108) with voltage terminals for transmitting electrical energy. A locking assembly (112) with a hydraulic piston assembly (118) controlled by a pump (120) ensures the safe locking and unlocking of the HV connectors (104, 108). The system is controlled by a control unit (132) connected to a battery management system (BMS) (134) that monitors the voltage levels. Automatic unlocking occurs when the voltage of the system (100) falls below 25 V, with a 5-minute delay for safety. In the event of a failure of the low voltage supply, manual unlocking is possible to unlock the HV connectors (104, 108).The system (100) increases safety by automating the decoupling process and allowing manual overriding under critical conditions.