114 results about "Critical condition" patented technology

The invention discloses a method for testing corrosion resistance of high-precision stainless steel. The method comprises the following steps: acquiring multi-dimensional microscopic characteristic data of a sample surface and determining a microscopic sensitive area; applying multi-field coupling dynamic excitation to the sensitive area to determine a critical condition for triggering corrosion; triggering initial corrosion according to a critical condition and performing adaptive tracking on an expansion process to obtain spatio-temporal data; monitoring the environmental parameter change of the microcell based on the spatio-temporal data, and analyzing the corresponding relationship between the surface topography change and the environmental parameter change to determine a key condition for forming a feedback amplification effect; and according to the key conditions, executing an accelerated test of multi-level oscillation enhancement, and carrying out stage decomposition treatment to obtain a corrosion resistance prediction result. According to the technical scheme, a dynamic feedback mechanism between the surface microstructure and the corrosion behavior can be accurately disclosed, the problem of evaluation deviation caused by neglecting microstructure evolution in a traditional method is solved, and accurate prediction of the long-term corrosion resistance of the high-precision stainless steel in a complex service environment is achieved.

The invention discloses a fault detonation simulation test method and platform for an extra-high voltage converter transformer network side bushing, and the method comprises the steps: providing a critical value calculation method for primary physical explosion and secondary chemical explosion of the extra-high voltage converter transformer network side bushing under different arc fault energy conditions; and the critical conditions of primary physical explosion and secondary chemical explosion can be accurately judged. According to the invention, the whole dynamic evolution process from rapid cracking of transformer oil and sudden pressure increase caused by converter transformer fault arc to superposition of physical explosion and explosion chemistry can be truly simulated, a grid-side bushing fault detonation critical discrimination method is provided, and technical parameters and theoretical support are provided for the explosion-proof and pressure-relief design of the converter transformer.

The invention belongs to the field of damage assessment, and relates to a typical engineering target rapid damage assessment method based on an image recognition technology, and the method comprises the steps: building different types of image damage feature damage assessment criteria: obtaining damage pictures and anti-explosion damage data, carrying out the classification of damage grades, drawing a P-I curve graph, defining the damage grade and the critical state of damage, and carrying out the calculation of the damage assessment criteria; adopting a cyclic interpolation method to obtain a failure critical condition, a critical progressive impulse and a critical progressive overpressure, substituting into a classical P-I curve expression for fitting to obtain a failure critical curve expression, and further simulating to obtain a failure critical area; establishing a corresponding relationship between the damage assessment criterion-damage critical area and the damage level of the image damage feature under the engineering target category; a damage picture is shot, the damage area is extracted, the damage area is compared with the image damage feature damage evaluation criterion, and the damage level is rapidly determined. According to the method, the mapping relation between the image damage characteristics and the structural mechanical response is established, so that the damage level is quickly researched and judged.

The invention discloses a method, a system, a medium and equipment for quickly judging the axial stability of an external short-circuit winding of a power transformer. In the method, a power transformer winding axial vibration calculation model is established; through changing a short-circuit current amplitude, a cushion block stress-strain curve characteristic value and a pre-tightening force, a critical condition of separation of a wire cake and a cushion block of a winding is obtained, and a three-dimensional map of a wire cake-cushion block vibration separation critical state is drawn. An axial stability analysis system when the power transformer is subjected to external short-circuit impact in an operation state is constructed, a computer is deployed locally to operate a calculation instruction corresponding to the method, and a short-circuit current peak value is extracted according to a current recording diagram of the power transformer under an external short-circuit fault; and determining a fault point location in the three-dimensional atlas according to the actual pre-tightening force of the winding and a cushion block stress-strain curve, and quickly judging the axial stability of the external short-circuit winding according to the relative relationship between the fault point location and a critical state interface.

The invention relates to the technical field of emergency triage, in particular to an intelligent pre-examination triage method and system for an emergency child patient, and the method comprises the steps: collecting the vital sign data, symptom complaint information and past medical history of the emergency child patient in real time through a medical Internet of Things device; an illness crisis degree evaluation model is constructed, an illness crisis coefficient K of the child patient is calculated based on a multivariate parameter fusion algorithm, and the parameters comprise a respiratory rate abnormal value delta R, a blood oxygen saturation degree deviation degree S, a consciousness state classification C and a pain index P; according to the method, the predicted available time T of the doctor can be calculated according to the coefficient eta of the doctor resource dynamic evaluation matrix, and the predicted available time T is matched with the illness state critical coefficient K of the child patient, so that reasonable distribution of the child patient and the doctor is realized; therefore, doctors with high professional ability and low workload can be distributed to the child patients with critical illness, the treatment efficiency and quality are improved, and meanwhile, the doctor-patient problem caused by the fact that the child patients with serious illness cannot be treated in time is also avoided.

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 an experimental device and an experimental method for gas / dust explosion flame-shock wave superposition coupling effect and combustible medium explosion transition induced by gas / dust explosion flame-shock wave superposition coupling effect under multi-parameter influence. Comprising a visual explosion system, a gas leakage diffusion system, a powder leakage diffusion system, an ignition system, a gas supply system, a powder spraying system, a discharge system, a displacement regulation and control system, a data acquisition system, a synchronous controller and a program control and data acquisition system. According to the experimental device and the experimental method for the gas / dust burning flame-shock wave superposition coupling effect under the influence of the multiple parameters and the induced combustible medium burning explosion transition thereof, the action processes of mutual impact, superposition, coupling and the like of detonation / detonation head-on flame-shock wave under the multiple working condition parameters can be realized; and the experimental study on the process of inducing the leakage diffusion combustible medium explosion transition and the critical condition thereof fills the technical blank of the study on the explosion flame-shock wave coupling effect process and the secondary disaster evolution mechanism induced under the influence of multiple parameters.

The invention discloses a method for judging whether seepage phase change and leakage occur in multi-scale static seal, which comprises the following steps of: 1, acquiring positive pressure sigma under the working condition of a static seal product by utilizing a force sensor or a finite element simulation method; step 2, obtaining height distribution of the contact surface of the static sealing product by using a high-precision microscope, and obtaining characteristic parameters; 3, according to the contact basic equation, solving the relation between the contact area and the positive pressure and the generalized diffusion variance; 4, for a certain specific analysis scale, giving a leakage critical characteristic line L of a corresponding critical contact area ratio; 5, in a characteristic state plane, namely a roughness hRMS-fractal index H plane, according to the relative position of the characteristic parameters and the leakage critical characteristic line L, whether leakage occurs or not is judged; the problem that a traditional sealing performance evaluation method depends on an empirical threshold and cannot quantitatively represent multi-scale contact characteristics and seepage phase change critical conditions is solved.

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 present invention belongs to the technical field of traction battery fault diagnosis. Disclosed are an active isolation method for a fault of a traction battery formation device. In the method, a traction battery formation device state model including an unknown-but-bounded noise and fault is acquired, a space update strategy is designed on the basis of a fully symmetric polytopic set-membership filtering concept, a state observer is constructed, and in this case, it is not necessary to assume that the prior distribution of the noise of the model is known, such that the robustness and practicability of an algorithm are enhanced; a test point is introduced to execute fault detection, the tangency between a state admissible set and a fault set is denoted as a critical condition for the occurrence of the fault, and the critical condition is described as two optimization problems to directly solve the values of auxiliary signals, such that effective isolation for the fault is realized, thereby avoiding the problem complexity caused by auxiliary signals being designed on the basis of performance indicators of an observer in a conventional method; and compared with the conventional method, the method has a higher sensitivity to a tiny fault and can thus avoid delayed detection or missed detection for the fault, thereby improving the efficiency of fault detection and isolation.

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 relates to the technical field of emergency medicine, in particular to an emergency department patient all-dimensional monitoring and emergency treatment system which comprises a patient information management unit, a real-time detection unit, a behavior feature recognition unit, an intelligent early warning and decision support unit and a remote cooperation and communication unit. According to the invention, through a multi-mode monitoring architecture special for trauma and a dynamic anti-interference mechanism, accurate and continuous monitoring of hemodynamics and vital signs of an acute trauma patient is realized, hidden shock and other critical conditions are effectively identified, and non-contact multi-mode perception and intelligent behavior analysis technologies are utilized to realize accurate and continuous monitoring of the acute trauma patient. Behavior characteristics such as the body surface temperature, the body position micro-motion and the voiceprint of the patient are converted into clinical risk indexes, potential risks are warned in advance, multi-dimensional and high-precision monitoring and warning are provided for the emergency treatment trauma patient, and the timeliness and the accuracy of emergency diagnosis are remarkably improved.

The invention relates to the technical field of physical property simulation monitoring, in particular to a stress simulation method and system for a carbon fiber reinforced concrete member. According to the method, an adaptive reverse solution method is adopted, and for each load, an interface constitutive parameter set under each monitoring section is obtained through an iterative optimization algorithm and a bond-slip relation. A parameter space is constructed according to the interface constitutive parameter sets of the monitoring section under different loads, then the change track of the interface constitutive parameter sets formed along with the change of the loads in the parameter space is obtained, and the boundary stripping load predicted value is the characteristic protruding peak which is obvious on the change track and is different from the preorder load. According to the analysis process, the critical condition of the interface from a healthy bonding state to macroscopic stripping failure can be effectively quantified, and the authenticity and reference of a material simulation output result are 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.

The invention relates to the technical field of slag conveying pipeline analysis, and discloses a wide-particle-size-range slag conveying system and method.The wide-particle-size-range slag conveying method comprises the steps that extreme working condition monitoring data in a slag conveying pipeline are processed, and a particulate matter physical property evolution matrix in the pipeline is obtained; treating the physical property evolution matrix of the particles in the pipeline to obtain a critical condition map of agglomeration formation in the slag conveying pipeline; treating the physical property evolution matrix of the particles in the pipeline to obtain a critical condition map of particle crushing in the slag conveying pipeline; processing an agglomeration formation critical condition map and a particle crushing critical condition map in the slag conveying pipeline based on a CFD critical state fusion adaptive prediction model, and obtaining a flow characteristic early warning index in the slag conveying pipeline; by establishing a CFD-based multi-field coupling particle state characterization model and considering the comprehensive influence of a temperature field, a pressure field and a turbulent flow field, accurate simulation of a complex flow field in the slag conveying pipeline is realized.

The present invention discloses a method for evaluating the dynamic safety of railway subgrades in combination with vehicle-track coupling analysis, which relates to the technical field of safety evaluation and includes: retrieving to obtain K unit train formation models of K passing trains and K train-related parameter information; detecting the track state to obtain the track geometric flatness spectrum; obtaining the subgrade mechanical parameter information of the local subgrade; establishing a subgrade-rail coupling model; integrating the K unit train formation models into the subgrade-rail coupling model to obtain a vehicle-track coupling dynamics model; using the target construction task to drive the vehicle-track coupling dynamics model to simulate the external disturbance of the subgrade, and outputting the critical condition space as the evaluation result of the railway subgrade safety. The present invention solves the technical problem that the existing technology is not accurate enough in evaluating the dynamic safety of railway subgrades, and achieves the technical effect of improving the accuracy of the dynamic safety evaluation of railway subgrades by establishing a vehicle-track coupling dynamics model and simulating external disturbances.

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).

The invention relates to the technical field of batteries, and provides a battery abnormity early warning method, a battery, a vehicle and a computer readable storage medium. According to the battery abnormity early warning method, the first type of internal environment parameters of the battery are obtained, and the first preset condition is used for describing the critical condition of the abnormal state of the battery, so that when the first type of internal environment parameters meet the first preset condition, it can be represented that the battery is about to enter the abnormal state at present. Furthermore, a second type of internal environment parameters, including the first type of internal environment parameters, of the battery can be further obtained, and when the second type of internal environment parameters meet a second preset condition, early warning information used for indicating battery abnormity is sent to the vehicle controller. Therefore, when the battery is abnormal, the abnormal early warning can be fed back to the vehicle controller in time, and a scheme capable of correctly and quickly realizing the abnormal early warning of the battery is provided.

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 discloses an in-service welding burn-through prediction method and system based on radial stress, and belongs to the field of pipeline maintenance and repair. In-service welding stress distribution characteristics and a burn-through mechanism are analyzed, it is determined that in-pipe radial pressure starts to be larger than the yield strength of the inner wall of the pipeline as a burn-through critical condition, the pipeline can be burnt through only after the inner wall loses efficacy, and the radial stress value of the inner wall of the pipeline in the in-service welding process is approximately equal to the pressure of a medium in the pipeline; scientific theoretical support is provided for criterion formulation, the prediction method is further simplified on the basis, the relation between the in-pipe medium pressure and the pipeline inner wall yield strength is simplified into a design pressure-critical inner wall peak temperature relation table on the basis of the limiting working condition, a direct judgment method is established, and the prediction accuracy is improved. Engineers can judge whether the burn-through problem needs to be considered or not during construction by directly looking up the table, the critical inner wall peak temperature or the critical burn-through ultimate pressure when burn-through does not occur under the specific working condition is given, and the simplified method has better engineering application value.

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 present invention relates to a visual monitoring system for critical situations in hospital nursing partitions, comprising: a nurse station console for managing multiple camera execution terminals, and each camera execution terminal is responsible for monitoring a single different hospital bed partition. The nurse station console includes a voice playback device, a number display device, a wireless communication device, a liquid crystal display device, and a rescue box; a critical situation judgment device for obtaining respective reference visual intervals corresponding to respective bed image blocks corresponding to respective hospital beds in a real-time monitoring image of a certain hospital bed partition, and determining whether to issue a ward critical situation judgment instruction based on the mean square error values of the respective reference visual intervals. Through the present invention, a hardware platform for visual partition monitoring of a single nurse station for night duty can be built, and at the same time, according to the distribution state of the beds in the hospital bed partition, it can be determined whether there is a slight movement of the bed triggered by a patient, thereby reducing the probability of missed detection in high-risk scenarios.

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 invention provides a memory management method and a storage device. The method comprises: in response to an access event, obtaining first address information corresponding to a first physical address of a memory module; confirming whether the first address information meets a critical condition; if the first address information meets the critical condition, determining correction information according to feature information and mask information corresponding to the first address information; obtaining second address information corresponding to a second physical address of the memory module according to the first address information and the correction information; and executing access operation on the first physical address and the second physical address according to the first address information and the second address information. Therefore, the operation stability of the storage device can be improved.

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.