73 results about "Critical condition" patented technology

The invention discloses a BMS (Battery Management System) fault prediction method and system in the technical field of battery management system testing, which are used for solving the technical problem that random crash is difficult to position and reproduce in BMS operation. According to the method, the electrical, thermodynamic and RTOS task scheduling operation states of a BMS are synchronized in real time by constructing a multi-physics field coupling digital twinborn model, and feature extraction and fault diagnosis are performed based on simulation process parameters. And carrying out accelerated reproduction on the fault in the multi-physics field coupling digital twinborn model, recording a key parameter combination causing the BMS crash, carrying out verification on an actual BMS hardware platform, and positioning a crash reason and a critical condition. According to the method, real-time data acquisition, digital twin simulation and test verification are combined, and full-process analysis from data acquisition to fault reproduction can be completely realized.

The invention discloses a central vein vascular access complication risk management method and related equipment. The method comprises the steps that based on basic physiological information and edema related information of a patient, ideal pressure values of different edema parts of the patient are determined through a treatment pressure decision model, and the treatment pressure decision model is obtained through training according to historical clinical treatment data; displaying the ideal pressure values of the different edema parts of the patient; in the binding process, the actual pressure value between the bandage and the skin of the patient is obtained, and the actual pressure value is displayed. The problems that in the prior art, complication supervision of a patient after a central venous catheter is implanted through a peripheral vein and infusion port implantation stays in static inquiry, the response speed is low, emergency situations cannot be recognized in time, the data collection mode is single, and the evaluation accuracy is insufficient can be solved.

The invention discloses a vehicle rolling critical condition prediction method and device. The method comprises the following steps: acquiring n groups of rolling data about vehicle rolling; based on the n groups of vehicle rollover parameters, performing new data synthesis processing to obtain m groups of enhanced rollover parameters corresponding to the vehicle rollover parameters; inputting the enhanced tumbling parameter into the implicit neural network, and outputting a tumbling result corresponding to the enhanced tumbling parameter; training the initial explicit neural network through the enhanced tumbling parameter and a tumbling result corresponding to the enhanced tumbling parameter to obtain a trained explicit neural network; and determining a critical condition for triggering the rolling of the target vehicle through the explicit neural network according to the input actual rolling parameter of the target vehicle. In this way, the implicit neural network is used to learn the rolling discrimination capability from the small-scale real vehicle rolling data; and then a large number of reasonable enhanced rolling parameters are generated to train an explicit neural network so as to output critical conditions of vehicle rolling expressed in a specific parameter threshold form.

The invention relates to the technical field of strain measurement, and discloses a tunnel steel arch bearing capacity early warning method and system.The method comprises the steps that micro-strain pulses, curvature change voltage and high-frequency stress wave signals of key nodes of a steel arch are synchronously collected; fusing the strain change rate and the curvature acceleration to calculate a dynamic load gradient distribution parameter; stress wave energy abrupt change characteristics and voltage equivalents are extracted through wavelet packet decomposition and frequency domain differential; inputting the load parameters and the energy characteristics into a coupling damage evaluation model, and generating a real-time stress risk coefficient through exponential attenuation correction and convolution operation; and when the voltage equivalent exceeds a self-adaptive threshold value and the risk coefficient meets a critical condition, triggering a stress grading early warning instruction. According to the method, the problem of lack of a multi-physical-quantity cooperative monitoring and dynamic risk assessment coupling mechanism during early warning of the bearing capacity of the tunnel steel arch is solved, and the early warning precision and timeliness are remarkably improved.

The invention discloses a disaster prevention strategy determination method and device of a main-distribution network, equipment and a medium, and relates to the technical field of power system elastic evaluation, and the method comprises the steps: determining a target topology model of a system based on a preset island balance strategy and topology information of a main network and a distribution network in a main-distribution network cooperative power system; generating a random fault scene based on a preset improved Monte Carlo algorithm, and performing load flow analysis and cascade fault simulation analysis of the fault scene based on a fault generation result and the target topology model; analyzing a fault coupling condition of the main-distribution network based on a fault scene analysis result, a system collapse threshold and a seepage theory, and determining a critical threshold curve in a two-dimensional failure space; and determining a criticality index corresponding to each component in the main-distribution network and a comprehensive toughness evaluation index of the system based on the critical threshold curve so as to determine a target disaster prevention strategy. According to the invention, critical conditions of main-distribution network cooperative failure can be identified, weak links of the system can be identified, and the resistance of the system can be enhanced.

Safety system (6) for a vehicle (1), the vehicle comprising at least a battery pack (5) and at least a tank (4) for storing a pressurized gas, the safety system (6) comprising at least one valve means (7) configured to assume at least a first position in which to deny the fluid communication between the tank (4) and the environment and a second position in which allow the fluid communication between the tank (4) and the environment, the valve means (7) being controlled to move between the first and second positions during a critical condition related to thermal runaway of the battery pack (5).

This invention relates to the field of emergency medicine technology, specifically to a comprehensive monitoring and emergency care system for emergency department patients. The system includes a patient information management unit, a real-time monitoring unit, a behavioral feature recognition unit, an intelligent early warning and decision support unit, and a remote collaboration and communication unit. Through a trauma-specific multimodal monitoring architecture and dynamic anti-interference mechanism, this invention achieves precise and continuous monitoring of hemodynamics and vital signs in acute trauma patients, effectively identifying critical conditions such as occult shock. Furthermore, by utilizing non-contact multimodal sensing and intelligent behavioral analysis technology, it transforms the patient's surface temperature, subtle body movements, and voiceprints into clinical risk indicators, providing early warnings of potential risks. This offers multi-dimensional, high-precision monitoring and early warning for emergency trauma patients, significantly improving the timeliness and accuracy of emergency diagnosis.

The invention provides a tunnel surrounding rock brittleness-ductility transformation critical confining pressure prediction method and device under a complex crustal stress field, and relates to the technical field of rock mechanics analysis. The method comprises the following steps: by introducing parameters representing rock strength anisotropy, correcting a Mohr-Coulomb strength criterion, and constructing a strength prediction model; dividing stress areas according to the ground stress level, and establishing a corresponding joint surface friction strength model for each divided stress area in combination with joint surface stress state analysis; converting the rock strength from anisotropy to isotropy as a critical condition of brittle-ductile conversion, and combining the strength prediction model with the joint surface friction strength model of the corresponding stress area to obtain a critical confining pressure theoretical model; in the critical confining pressure theoretical model, the static internal friction angle is replaced with a rock instantaneous internal friction angle changing along with the confining pressure, and a critical confining pressure prediction model is obtained; and inputting the mechanical parameters of the surrounding rock of the target tunnel into the critical confining pressure prediction model, and calculating to obtain a critical confining pressure value.

The invention discloses a stability judgment method and system of an electric energy router, and belongs to the technical field of safe and stable operation of an electric power system. Quantitative critical conditions for maintaining stable operation are defined for a secondary converter, a dual active bridge and a primary converter of the electric energy router; the electric quantity of each level of port is monitored in real time, whether the electric energy router is unstable and the instability position are judged based on a critical condition for maintaining stable operation as a criterion, a preliminary instability type judgment is given, and an instability state evaluation report is generated when the electric energy router is unstable. Therefore, early warning and accurate positioning of the instability of the electric energy router are realized.

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 embodiment of the invention discloses a power grid operation state early warning method and device based on a sudden change prediction model, and the method comprises the steps: obtaining the operation data of a power grid, and the operation data comprise voltage data, frequency data, load data and meteorological parameters; constructing a power grid state nonlinear potential function model based on the operation data, wherein the potential function model is used for describing the stability of a power grid; analyzing the potential function model by using a mutation theory, and extracting a critical condition between a control variable and a state variable; identifying a critical area of the power grid operation parameters according to the critical condition, and establishing a corresponding relation between parameter change and power grid stability; and when the operation state of the power grid is close to the critical region and the power grid is evaluated to be in an unstable critical state according to the corresponding relation, generating early warning information. According to the invention, the safety and stability of power grid operation are improved.

The present disclosure relates to a method for controlling an autonomously driving vehicle, in particular a commercial vehicle, in which the wheels of the vehicle are monitored. Upon detection of a safety-critical condition of the wheels, the driving behavior of the vehicle is automatically adjusted. In a method in which the vehicle is secured in the event of a tire fire, a fire alarm is sent to an emergency call center external to the vehicle upon identification of a burning tire, and the vehicle changes from the current lane to a shoulder on which the speed is reduced to wear off the burning tire. After the burning tire has been removed from the vehicle, the vehicle is brought to a stop at a safe distance from the burning tire.

The application provides a high-voltage circuit breaker operation state intelligent evaluation method, comprising the following steps: collecting the actual length of a high-voltage circuit breaker pull rod and the initial speed of contact separation through a displacement sensor and a speed monitoring device, filtering out high-frequency noise interference, and obtaining the pull rod deformation growth, the contact stroke change and the initial speed sequence of contact separation; evaluating the corresponding change relationship between the pull rod deformation growth and the contact stroke change, determining the time delay and amplitude amplification ratio of the pull rod deformation growth transmission to the contact stroke change; if the deterioration progress speed presents an accelerated upward trend and the mutation amplitude of the initial speed of separation exceeds the preset allowable limit, the critical condition of high-voltage circuit breaker shutdown maintenance is determined; generating a pull rod replacement warning, a contact adjustment warning and a whole machine maintenance warning according to the critical condition judgment result, and outputting a high-voltage circuit breaker operation state evaluation report.

The application provides a method and device for generating a cardiac limit survival view, comprising: constructing a cardiac simulation model based on static clinical data; inputting basic physiological state data into a generative adversarial network to obtain a stress condition matrix; simulating based on the stress condition matrix and the cardiac simulation model to generate a simulation result; determining a limit instability evaluation result based on the simulation result, if the limit instability evaluation result indicates reaching a limit instability state, recording the current stress condition matrix as a critical condition matrix, and generating a new stress condition matrix based on the critical condition matrix; if the limit instability evaluation result indicates not reaching the limit instability state, updating the generative adversarial network based on the simulation result and the stress condition matrix; after meeting a preset iteration termination condition, generating a cardiac limit survival view of a target object based on multiple critical condition matrices. The application changes the traditional passive recording of abnormal events into active exploration, effectively reducing the misdiagnosis rate of malignant events such as sudden cardiac death.

The invention provides a numerical method and system for high-precision prediction of gas-driven piston motion in a powder dense-phase conveying process, and the method comprises the following steps: 1, taking a powder fuel supply system as a research object, setting an initial field of the research object, obtaining the physical properties and transportation conditions of a powder layer under the initial field of the research object, and calculating the physical properties of the powder layer; the initial static state of the piston is set as a starting point; 2, on the basis of a pre-constructed mesoscale solid phase corresponding force model, the total gas-solid resistance borne by the piston in the static state of the piston is obtained through calculation; 3, based on the gas-solid total resistance borne by the piston, the piston starting critical condition is set; 4, performing numerical simulation on piston motion based on a piston starting critical condition; according to the method, the actual stress environment of the piston is combined, solid phase corresponding force sudden change and the friction effect after powder deformation are comprehensively considered, the whole-process motion characteristic prediction of the piston from static state to dynamic stability has high credibility, and the problem of simulation distortion caused by inaccurate motion characteristics of a traditional model is solved.

The invention provides a psychological counseling system and method based on artificial intelligence, and relates to the field of intelligent psychology, comprising session node management, trust state management, observation management, antagonistic narrative management, self-organizing treatment, and asymmetric override and permission and auditing combined scale block cooperative operation. The traceability and credible management of the whole psychological consultation process are realized; the system generates an auditable session node and gives a trust state identifier at the end of each session, and a qualified observation chain is formed through user clear interaction to trigger trust judgment; the antagonistic narrative module generates an anti-narrative according to an ethical rule and collects a user structured response as a trust evidence; the self-organizing treatment module automatically executes node classification and opens artificial recheck when a critical condition is met; the override and permission module introduces an independent override to examine the trust and ethical compliance of the promotion node; the auditing module writes all events into a non-tampering account book and triggers responsibility tracing when a rule is violated; temporary intervention can be executed through multi-party rechecking in an emergency situation so as to guarantee the safety of a user.

The invention relates to the field of debris flow disaster prevention and control, in particular to a debris flow velocity calculation method based on large particle starting critical conditions, which comprises the following steps: building a water tank experimental device, and placing large particle materials in the water tank experimental device; a medium flowing effect is applied to the water tank experiment device, so that a stable medium flow field is formed in the water tank experiment device; the large-particle materials are detected, and motion parameters and structure parameters of the large-particle materials are obtained; according to the motion parameters of the large-particle materials, acting force characteristic parameters in the motion process of the large-particle materials are determined; and determining the starting action flow velocity of the large-particle material according to the large-particle starting critical condition, the acting force characteristic parameters and the structure parameters. According to the invention, the water tank experimental device is built to simulate the physical process of debris flow occurrence and the debris flow motion empirical formula is utilized to judge the starting condition of large particles at the channel sudden shrinkage part, so that the recognition accuracy and reliability of sudden amplification of debris flow caused by large particle collapse at the channel sudden shrinkage part are improved.

The invention belongs to the technical field of nuclear power plant steam turbine control, aims to solve the problems that an existing steam turbine system has a single-point fault risk and cannot achieve a rapid tripping protection function under an emergency condition, and discloses a steam turbine redundant rotating speed collection and overspeed protection system. Comprising a first probe module, a second probe module, a steam turbine adjusting control system and a steam turbine protection control system, the first probe module and the second probe module are installed in a physical isolation mode, and the steam turbine adjusting control system and the steam turbine protection control system work independently; the first probe module is connected with a steam turbine adjusting control system and used for achieving steam turbine rotating speed adjusting control and OPC overspeed limiting functions. And the second probe module is connected with a steam turbine protection control system and is used for realizing an emergency trip protection function of the steam turbine. The safety, reliability and stability of the steam turbine rotating speed acquisition and overspeed protection system are improved, the single-point fault risk is effectively avoided, and the system response speed is improved.

The invention relates to a bipyramidal climbing experiment teaching aid, in particular to an experiment demonstration device for teaching and a use method thereof.The experiment demonstration device comprises a demonstration platform, at least two demonstration devices are symmetrically arranged on the demonstration platform, each demonstration device comprises two universal joints and two guide frames, each universal joint comprises a fixing column, one end of each fixing column is arranged on the demonstration platform, and the other end of each fixing column is arranged on the guide frame. Movable shafts are arranged at the other ends of the cross shafts respectively. The two ends of each adjusting rod are connected with the corresponding universal joint and the corresponding guide frame respectively, so that the two adjusting rods can conduct angle adjustment independently, when the first connecting and disconnecting structure and the second connecting and disconnecting structure are connected, the two adjusting rods can conduct synchronous angle adjustment, and when students explore the influence of the track dip angle on the climbing speed / critical condition, the students can conduct synchronous angle adjustment. Different inclination angles can be accurately and repeatedly set, and the exploration boundary is expanded.

The invention relates to a rotation simulation result processing method and system, electronic equipment and a storage medium. The method comprises the following steps: acquiring rotation simulation result data; the rotation simulation result data at least comprises rotation speed information; classifying the rotation simulation result data according to the rotation speed information; aiming at each piece of rotating speed information, generating a simulation curve of rotating simulation result data corresponding to the rotating speed information; determining a critical speed according to an intersection point of the simulation curve and a preset critical curve, and generating a simulation data table according to the critical speed and rotation simulation result data corresponding to the simulation curve; and in response to a control option selected by a user on the interactive interface, rendering the simulation curve to generate a cloud picture, and generating a simulation result report. According to the scheme, the data can be automatically analyzed, the rotation data are classified according to the rotation speed, different curves are drawn, critical conditions are automatically marked in the curves, the data are visually displayed in the form of curve graphs and tables, and a user can visually obtain more information.

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.

The invention discloses a simulation experiment device for inducing moving fire whirlwind by a linear fire source. The simulation experiment device comprises a device main body; the device body comprises a frame, a supporting plate, a linear fire source, a roller, an annular gauze element, a synchronous belt and a driving device. The supporting plate is arranged at the bottom of the frame; the rollers comprise a plurality of driven rollers and a driving roller, and the plurality of driven rollers are arranged in different directions so as to form a cuboid simulation space; the synchronous belt arranged on the roller comprises a first synchronous belt and a second synchronous belt; one side of the annular gauze element is connected to the first synchronous belt, and the other side of the annular gauze element is connected to the second synchronous belt to surround a simulation space; the linear fire source is arranged on the supporting plate and located in the middle of the simulation space. The driving device is used for controlling the driving roller to drive, so that the driven roller is driven to rotate uniformly, the annular gauze element rotates at a uniform speed, stable fire cyclone is induced and formed, research on critical conditions of fire cyclone conversion is realized, and the experiment precision and repeatability can be ensured.

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 invention discloses a multi-mode self-adaptive electrochemical synaptic electronic skin and a closed-loop anti-slip control system thereof, and relates to the technical field of flexible electronic skins, the multi-mode self-adaptive electrochemical synaptic electronic skin comprises a multi-mode electrochemical electronic skin, the multi-mode electrochemical electronic skin is composed of a sensing unit, a signal processing unit and a substrate layer unit, the sensing unit is used for the multi-mode electrochemical electronic skin to acquire stimulation signals, the signal processing unit is used for converting and transmitting the acquired signals, and the substrate layer unit is used for integrating the sensing unit and the signal processing unit and forming the electronic skin. According to the invention, the multi-modal sensing layer is used for performing multi-modal sensing on the stimulation on the electronic skin and predicting the critical condition at the early stage of slippage, meanwhile, a control strategy is dynamically generated according to the characteristics of an object, the actuator is subjected to feedback adjustment and real-time adjustment, and the accuracy and efficiency of judgment of the system in a complex scene are improved.

The present invention relates to a method to establish vital sign prediction models to predict future vital signs of a patient. The method comprises training an attention-based architecture with a vital sign training dataset comprising multiple vital sign training data, each of which has a training input and a training ground truth, wherein the multiple training data comprise multiple control training data of multiple first patients without critical conditions and multiple emergency training data of multiple second patients with critical conditions. The present invention also provides an application of the established vital sign prediction models to realize an early warning system to predict cardiac arrest at earlier time points.

The invention discloses a quantum system and method for accurately controlling quantum state localization and phase change, and a reliable technical means of actively inducing extended state reentry in a local phase breaks through the traditional limitation of'local phase irreversibility ', and provides possibility for'wake-up' and reset of quantum information. It is proved that the capability of inducing reentry is insensitive to the mobility edge, so that the technology has high robustness and universality and is suitable for wider system conditions; non-Hermite is introduced as new regulation, quantitative and fine regulation of reentry critical conditions is realized, and a direct relation between localization and PT symmetry is established; a set of comprehensive diagnosis scheme is provided, a complex phase structure, especially a mixed phase which is difficult to accurately judge by a traditional method, can be clearly and correctly recognized, and the accuracy of experimental observation and phase diagram construction is ensured; and finally, a multifunctional, high-sensitivity and strong-robustness quantum state controller is realized.

The utility model discloses an improved structure of critical disease transfer first-aid equipment. The device is characterized by comprising a main machine body, an equipment cabinet and a movable chassis, the equipment cabinet is connected with the main machine body and the movable chassis, the main machine body is provided with at least one bearing column, medical equipment is connected with the bearing column through a fixing device, and the main machine body is provided with a medical gas terminal, a strong and weak current socket and a storage part; a UPS power supply device and a negative pressure device are arranged in the movable chassis, the equipment cabinet is provided with a connecting part II, and the connecting part II is connected and fixed through lifting of the transfer bed and a connecting part I arranged at the end of the connecting part II, so that the whole transfer first-aid equipment is lifted and transferred along with the transfer bed. The utility model has the advantages that the assembly layout of the medical equipment and the first-aid equipment is more reasonable, the operation of medical personnel is facilitated, the use safety is improved, and the like.

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.