554 results about "Rapid assessment" patented technology

The invention provides a trauma severity assessment method and system based on artificial intelligence and big data analysis, and relates to the technical field of AI.The trauma severity assessment method comprises the steps that an AI model is guided through cue word engineering to extract trauma information from structured medical record data of a trauma patient, and JSON format data containing diagnosis information, trauma identification and trauma description is generated; and a vector retrieval technology is adopted to retrieve a scoring rule related to a single injury condition from the modified ISS scoring rule knowledge base, and the AI model determines the area, the part and the score of each injury condition based on the JSON data and the scoring rule. And after checking and combining the injury condition scores, finally outputting an ISS total score and a specific score result of each wound area. The method can automatically extract and score the injury condition information, improves the ISS scoring efficiency and accuracy, and assists a doctor in rapidly evaluating the injury condition of a patient.

The invention relates to the technical field of urban climatic science, in particular to an urban climatic environment rapid evaluation system and method. According to the technical scheme, the system comprises a data acquisition module, an index standardization and feature extraction module, an index weighting and dynamic parameter adjustment module and a climatic environment comprehensive index generation module. According to the method, based on meteorological and environmental multi-source data of an urban area, a multi-dimensional evaluation index set is firstly constructed through standardization and normalization processing, and then a fuzzy logic harmonic function and a non-linear harmonic function are utilized to identify the coupling relation and the cooperation strength among the indexes; and meanwhile, a dynamic optimization mechanism is introduced to adaptively adjust each weight coefficient according to the real-time index sensitivity, an urban climate environment index is finally generated, and spatial visual expression and grade early warning are realized. According to the method, rapid evaluation and trend judgment of the urban climate system state can be realized, and the method is suitable for urban planning, climate risk monitoring and toughness analysis.

The present application proposes a method and system for quantitative derivation of an on-line evaluation layered model for evaluating concrete dam operation performance, and a storage medium, and relates to the technical field of dam operation safety monitoring and management. A logic architecture of quantitative derivation of the concrete dam operation performance mainly has two aspects, a longitudinal dimension and a transverse dimension. The longitudinal dimension is the principal line of assessing longitudinal evaluation of the on-line evaluation layered model, and an analysis idea of the concrete dam from local to global and from details to whole is objectively reflected from six levels of monitoring data, diagnosis methods, monitored items, evaluation indicators, key parts and an overall project. The transverse dimension is an element set for evaluating the concrete dam operation performance, comparison of importance degrees of various assessment elements at the same level is conducted, and at the same time, an association relationship between the elements at the same level is established. Therefore, by means of comparison of the elements in the transverse dimension and recursion of the various levels in the longitudinal dimension, the overall concrete dam operation performance is automatically and rapidly evaluated, and grading results of an operation state of a concrete dam are given through a safety assessment set, such that safety evaluation of the concrete dam operation performance is more systematic and comprehensive in analysis method and engineering part, and more explicit and reliable in derivation logic and evaluation efficiency.

The invention discloses a bridge network anti-seismic performance rapid evaluation method based on capability spectrum analysis. The method comprises the following steps: firstly, carrying out finite element modeling on bridges in a regional bridge network needing to be analyzed by using OpenSees, extracting piers, and carrying out vulnerability analysis on the piers; a bridge vulnerability curve is obtained based on a capacity spectrum method, then the failure probability of the bridge in a certain damage state serves as a post-earthquake damage index, and the bridge failure probability is replaced by the post-earthquake failure probability of the corresponding road section; after the post-earthquake failure probability of each road section exists, all paths between a starting point and an ending point, namely, to-be-researched OD pairs in a network area are analyzed, the passing probability of each path after the earthquake is calculated based on the Bayesian theorem and an event independence calculation method, all the paths under the OD pairs are sorted according to the passing probability, and therefore the optimal passing path is obtained; and the path with small passing probability is avoided. According to the invention, a scientific basis is provided for regional bridge network anti-seismic planning and emergency management.

The invention relates to the technical field of impact type water turbine spray needle abrasion tests, and discloses an impact type water turbine spray needle abrasion test method and system based on dimensionless analysis. The impact water turbine spray needle wear test method based on dimensionless analysis comprises the steps of establishing a wear analysis object, selecting a physical quantity related to wear, determining a dimension, selecting a physical quantity closely related to a target physical quantity by adopting a physical quantity optimization method, and constructing a dimensionless quantity. A more accurate wear physical model is established by selecting physical quantities directly related to spray needle wear, the model can better reflect an actual physical process, dependence on empirical data can be reduced through theoretical analysis and dimensional analysis, so that the wear prediction accuracy is improved, and compared with complex numerical simulation, the wear prediction accuracy is improved. The dimensional analysis method requires fewer computing resources, which makes it more suitable for rapid evaluation and design stages.

The invention discloses an aquatic organism diversity rapid evaluation system and method based on GIS and eDNA technologies, and the method comprises the steps: selecting a plurality of sampling points in a target region to collect water samples, and integrating and processing the geographic information data of the sampling points and surrounding regions by adopting a GIS system; extracting eDNA from the collected water sample, performing amplification and sequencing on the eDNA by adopting a high-throughput sequencing technology, obtaining species and relative abundance of the species existing at the sampling point, and forming a species list; importing species distribution information corresponding to the species list into a GIS system, and obtaining a species distribution area and species types; according to the method, a species distribution prediction model is established, aquatic organism diversity change trends of the hot spot area and the potential ecological threat area are monitored in real time, an evaluation report and protection suggestions are formed, and protection measures are updated in time, so that the data acquisition and processing efficiency is improved, and the accuracy of species identification and the comprehensiveness of diversity evaluation are enhanced; and a real-time monitoring and early warning mechanism is provided.

The invention relates to the technical field of bridge structure health monitoring, and particularly provides a bridge earthquake damage rapid assessment method and system, and the method comprises the steps: carrying out the cross-modal coupling calibration of a time-history sudden change feature and a phase of a space energy spectrum, and generating a high-confidence three-dimensional dynamic response field; inputting the spatial gradient distribution characteristics into a nonlinear material state inversion program, performing path integrity verification in combination with an energy dissipation path, and outputting a potential damage topology boundary of the bridge; dividing an output bridge potential damage topological boundary into discretized damage units, and mapping strain constraints of the discretized damage units into triple decision-making indexes including a traffic capacity attenuation coefficient, an emergency disposal aging threshold value and an aftershock risk level through a bridge structure function attenuation rule. The system comprises a mixed field dynamic response reconstruction module, a damage sensitive domain reverse locking module and a function level damage quantitative mapping module. According to the method, deterministic mapping of the bridge structure damage state and the engineering function index is realized.

The invention relates to a full-automatic test system and method compatible with multi-type component irradiation tests, and the system comprises an irradiation main control board, an irradiation test board and an irradiation load board which are disposed in an irradiation room and are connected through a cable, and an electronic load, a programmable power supply, an upper computer and a digital oscilloscope which are disposed in a test preparation room. The system can compatibly support the irradiation test of the total dose effect and the single event effect, is suitable for the rapid assessment demand of multiple types of COTS components on a large scale, and can meet the urgent demand of the commercial spaceflight field for the evaluation of the radiation resistance of the COTS components.

The invention relates to the technical field of bridge earthquake damage performance evaluation, and particularly discloses a high-speed railway bridge earthquake damage performance rapid evaluation method based on machine learning, and the method comprises the steps: collecting multi-source data of a bridge structure of a high-speed railway, a historical earthquake database and a BIM model of the bridge structure in real time through a heterogeneous data collection system; constructing a multi-modal feature space containing partial features of time-frequency domain features, spatial features and probability features; constructing a hierarchical machine learning framework based on a dynamic Bayesian network damage propagation model, a mixed model of a multi-scale convolutional neural network and a long-short term memory network and an uncertainty quantization and dynamic updating mechanism, and establishing an earthquake damage performance evaluation model based on the hierarchical machine learning framework; carrying out seismic damage performance evaluation on the multi-modal feature space by adopting a seismic damage performance evaluation model, and generating damage probability distribution; potential earthquake damage related information behind the data is effectively mined, and the earthquake damage condition of the bridge in an earthquake can be more accurately simulated and predicted.

The invention discloses a rapid assessment method and system for shock resistance toughness of main and aftershocks based on a cycle-Transform network, and the method comprises the steps: building a finite element model of a building structure, inputting a plurality of groups of earthquake accelerations of main and aftershocks into the model, and obtaining a database comprising a plurality of groups of accelerations and corresponding structure displacement responses; building a loop-Transform neural network, and carrying out the training and optimization of the loop-Transform neural network; inputting the main shock and aftershock sequence into the optimized cycle-Transform neural network, predicting the displacement response of the structure under the double amplitude modulation main shock and aftershock sequence, then obtaining the building damage probability corresponding to different earthquake intensities under the main shock and aftershock situation by using maximum likelihood estimation, evaluating the corresponding damage index, calculating the recovery time, and finally obtaining the building damage probability corresponding to the different earthquake intensities under the main shock and aftershock situation. A function recovery curve of the structure is predicted, and shock resistance toughness evaluation is completed. According to the method, the precision of structure accumulated damage prediction under the aftershock effect is improved, and the calculation complexity and time consumption of toughness evaluation under the main and aftershock earthquake scene are remarkably reduced.

The invention discloses a multi-modal data driven commercial vehicle frame performance prediction method and system. The method comprises the following steps: uniformly coding design variables of a frame; constructing a multi-modal performance response data set based on finite element simulation and test results of mass production vehicle models, and realizing fusion of simulation and test data by adopting a maximum mean difference and related alignment algorithm; constructing a graph perception Transform multi-task prediction model fusing the structure topology and the physical position features, and predicting key performance indexes of the frame under a plurality of typical working conditions; through weighted multi-task loss function joint training, an uncertainty mechanism is introduced to dynamically adjust task weights; and after training is completed, deploying to an inference engine to realize second-level prediction and support increment fine adjustment updating. According to the method, repeated modeling and solving processes are avoided, the frame performance prediction efficiency and the adaptive capacity are remarkably improved, and the method is suitable for rapid evaluation of the frame performance of commercial vehicles of various structural configurations and material types.

Disclosed in the present invention is an anti-seismic simulation method for an existing building by considering a real damage state. The method comprises: determining a quantified component damage index on the basis of an observed component damage state; determining a material damage index of a damaged component on the basis of the component damage index; determining key parameters of a constitutive law for a damaged material on the basis of the material damage index; establishing a finite element model of a damaged building on the basis of the constitutive law for the material of the damaged component; and assessing the seismic risk and anti-seismic performance of the damaged building on the basis of the finite element model. In the present invention, a constitutive law for a damaged material is incorporated into a fiber model in OpenSEES, so that rapid modeling of a damaged building can be realized, thereby effectively reproducing the real damage of an existing building; and by using a seismic vulnerability analysis method, rapid assessment of the seismic risk and anti-seismic capability of the existing building can be realized, thereby further providing support for formulating reasonable reinforcement and reconstruction strategies by related departments.

The invention discloses a hydrogen leakage accident holographic perception and disaster situation dynamic prediction system in a tunnel scene, and belongs to the technical field of hydrogen energy traffic safety and intelligent risk management. According to the system, multi-modal information such as environmental parameters, hydrogen concentration, heat source temperature, leakage acoustic characteristics and vehicle states is collected in real time through a multi-modal sensing unit; abnormal detection, time synchronization and space registration are carried out through the information fusion module to generate fusion data in a unified format; the hazard source analysis module locates a leakage source, estimates a leakage rate, locates an ignition source and extracts disaster characteristics based on the fused data; the disaster dynamic prediction module predicts spatio-temporal evolution of diffusion, combustion and explosion by using an agent model and calculates disaster levels; the feedback early warning unit synchronously outputs the prediction information to the tunnel monitoring platform and issues early warning information; and the data storage and self-optimization module uniformly stores historical data and optimizes the prediction model through incremental learning. The system realizes real-time monitoring, rapid evaluation and intelligent disposal of tunnel hydrogen leakage accidents.

The invention relates to a battery self-discharge characteristic analysis and rapid evaluation method, and aims to improve the precision and efficiency of battery self-discharge performance detection. According to the method, in a set environment stable interval, an instantaneous voltage change sequence and a current perturbation response sequence of a target battery are acquired through micro-load disturbance, and a battery internal resistance dynamic evolution tensor representing dynamic response characteristics in the battery is constructed; extracting local features by applying a multi-scale time window segmentation strategy, forming a feature vector group containing a voltage nonlinear rebound factor and a delay response index, inputting the feature vector group into a trained Bayesian weighted adaptive mapping network, and outputting a battery self-discharge rate estimated value combining a manufacturing batch residual error and temperature offset compensation; performing trend fitting and consistency checking on the estimated value to obtain a battery self-discharge grade evaluation result, and generating a structured detection report containing initial offset, rebound amplitude and estimation confidence; the method can be widely applied to battery production, quality control and performance screening scenes.

The invention discloses an aircraft control system graphical modeling and simulation platform, and relates to the technical field of flight control. The platform comprises a data processing module used for acquiring and preprocessing system related data of the flight control system; the model building module is used for carrying out framework management, configuration parameter setting and module selection on the basis of a flight control overall framework model and a flight control professional model library and generating a flight control system model according to the framework management, the configuration parameter setting and the module selection; the quality evaluation module is used for evaluating and optimizing a simulation result of the flight control system model; and the simulation test module is used for carrying out simulation test on the flight control system in each test period. A simulation platform for simulating operation is provided for the flight control system, full-process functions such as data preprocessing, part generation, rapid model construction and rapid system evaluation are achieved, and the development efficiency, robustness, safety and accuracy of the flight control system are improved; and practical guidance is provided for actual operation of the aircraft.

The invention discloses a multi-dimensional rapid evaluation method for snow-melting agent corrosion resistance of stainless steel, and relates to the technical field of stainless steel performance evaluation.The multi-dimensional rapid evaluation method comprises the steps that sodium chloride, calcium chloride and magnesium chloride are weighed by mass and dissolved in deionized water, acetic acid and sodium hydrogen sulfite are added after dissolution, and the pH value is adjusted to 4-6; performing potentiodynamic polarization scanning and electrochemical impedance spectroscopy testing on the stainless steel sample to obtain pitting potential and impedance modulus; the method comprises the following steps: placing a stainless steel sample in a cyclic corrosion experiment box, carrying out a corrosion experiment under the conditions of controlling the cyclic temperature change of an environment temperature and periodically carrying out cyclic switching of a spraying mode, a humid mode and a drying mode, taking out the sample every set time, and measuring the corrosion rate and the maximum pitting depth; and according to the pitting potential, the impedance modulus, the corrosion rate and the maximum pitting depth, carrying out graded judgment on the corrosion resistance of the stainless steel. According to the method, the corrosion resistance of the stainless steel can be accurately evaluated in a short time.

The invention discloses a ship corrosion rapid assessment method based on image recognition. The method comprises the following steps: 1) carrying out edge detection on an acquired corrosion digital image to be assessed; the corrosion digital image is a digital ray image obtained by a ship corrosion detection device in nondestructive detection; 2) fitting the edge points into a circle to serve as a reference small ball; 3) segmenting corrosion damage; and 4) performing corrosion damage depth calculation and area calculation on the acquired digital image according to the detection result of the reference ball and the segmentation result of the corrosion damage. According to the ship corrosion rapid assessment method based on the deep learning image recognition technology, artificial intelligence analysis of corrosion defect data in the digital ray image is achieved, the collected corrosion image is assessed, corrosion defects in the image can be recognized from any direction, angle or edge position, and the accuracy of ship corrosion assessment is improved. And the ship corrosion protection and maintenance support capability can be greatly improved.

The invention discloses a bridge cluster post-earthquake rapid evaluation method based on improved XGBoost. The method comprises the steps that firstly, a bridge cluster is classified, a bridge type is selected as a research object, modeling parameters are determined according to the selected bridge type, and parameter samples are expanded; then establishing a finite element model to extract output parameters related to bridge behaviors; according to the extracted output parameters related to the bridge behaviors, the bridges are divided into three classes to serve as bridge classification labels, and data expansion is carried out; performing classification model training on the obtained new training set by using an XGBoost model, and finally determining the XGBoost model; and using the determined XGBboost model, taking bridge parameters and seismic oscillation data as input, and outputting a classification label as a post-earthquake evaluation index / evaluation basis. According to the method, the efficiency and accuracy of bridge safety assessment after the earthquake are remarkably improved, and a rapid and reliable technical support is provided for emergency repair and recovery of the bridge after the disaster.

The invention discloses a rapid assessment method for seawater intrusion and sustainable freshwater exploitation in an phreatic aquifer considering hydraulic boundary changes. The method comprises the following steps: constructing a conceptual model based on specific working conditions; potential energy distribution in the phreatic aquifer is calculated; the seawater intrusion range is determined by searching an equipotential line equal to potential energy at a salt toe position in a potential energy field through interpolation and the height of a salt-fresh water interface; and calculating the sustainable fresh water exploitation rate: calculating the stagnation point position, wherein the water pumping rate when the stagnation point coincides with the salt toe position is the sustainable fresh water exploitation rate. According to the method, the evaluation precision and calculation efficiency of the seawater invasion range and the sustainable fresh water exploitation rate can be remarkably improved while the result accuracy is ensured; by adopting the conceptual model based on the working condition, the research area range and parameter setting can be flexibly adjusted according to actual requirements, and by optimizing the calculation model, the requirements of calculation resources and manpower and material resources are remarkably reduced under the condition that additional equipment or resource investment is not increased.

The invention relates to a quick mountain torrent disaster risk assessment method and system based on multi-source data fusion. The method comprises the following steps: performing space-time registration on multi-source data, constructing a dynamic factor matrix and a static geological parameter matrix, and calculating soil saturation; on the basis of the dynamic factor matrix, removing redundant factors, analyzing and generating a weight vector through an entropy method, on the basis of the effective factor set, the static geological parameter matrix and the soil saturation, correcting the rock-soil shear strength by quantifying the sediment deposition effect, obtaining the corrected rock-soil shear strength, and calculating the slope safety coefficient; and according to the coefficient, the effective factor set and the weight vector, generating a risk membership degree vector through fuzzy evaluation, calculating a risk feature value, identifying a disaster dominant type, and constructing a risk map. According to the method, through multi-source data space-time registration, redundant factor elimination, sediment deposition effect quantitative correction and the like, the efficiency and precision of mountain torrent disaster risk assessment are improved, and the support of an assessment result on disaster prevention and reduction decisions is enhanced.

The invention discloses a method for rapidly evaluating seawater intrusion and sustainable freshwater exploitation in a confined aquifer by considering hydraulic boundary change. The method comprises the following steps: constructing a conceptual model based on specific working conditions; potential energy distribution in the confined aquifer is calculated; the seawater intrusion range is determined by searching an equipotential line equal to potential energy at a salt toe position in a potential energy field through interpolation and the height of a salt-fresh water interface; and calculating the sustainable fresh water exploitation rate: calculating the stagnation point position, wherein the water pumping rate when the stagnation point coincides with the salt toe position is the sustainable fresh water exploitation rate. According to the method, the evaluation precision and calculation efficiency of the seawater invasion range and the sustainable fresh water exploitation rate can be remarkably improved while the result accuracy is ensured; by adopting the conceptual model based on the working condition, the research area range and parameter setting can be flexibly adjusted according to actual requirements, and by optimizing the calculation model, the requirements of calculation resources and manpower and material resources are remarkably reduced under the condition that additional equipment or resource investment is not increased.

The invention discloses a method for rapidly evaluating the safety of a structure after a bridge fire, and the method comprises the steps: obtaining an air temperature, flue gas speed distribution, air pressure distribution and a flame flue gas image through simulating a fire scene; the method comprises the following steps: when simulating that a fire enters a fire quasi-steady-state stage, obtaining a fire smoke image for completely describing a dynamic change process of thermal plume and a smoke speed distribution image and an air pressure distribution image above a fire source, and forming a training sample; constructing a long and short term memory network model; training the model; shooting a flame smoke image of a fire scene, inputting the flame smoke image into the trained long-short term memory network model, and outputting a smoke speed distribution image; calculating a final fire source heat release rate according to the flame smoke image and the smoke speed distribution image; the average temperature of the components in the cable at different moments is calculated; according to the average temperature of the components in the cable at different moments, whether the structural components lose efficacy or not is judged. According to the invention, the monitoring accuracy and timeliness are improved.

A disaster response system includes a communication infrastructure including a plurality of sensor assemblies configured to generate data indicative of at least one of environmental conditions, motion, position, chemical detection, and medical information; and wirelessly provide the generated data to the communication infrastructure. The system also includes an incident command infrastructure configured to exchange data with the communication infrastructure; and detect an incident based on the data from the sensor assemblies. The system also includes an unmanned aerial vehicle (UAV) configured to deliver a payload in response to the detected incident.

The invention relates to the technical field of remote sensing image recognition, in particular to a method for determining a moso bamboo forest snow disaster affected area based on a GEE platform. The method mainly solves the problems of low efficiency, high cost and difficulty in realizing large-range rapid evaluation caused by dependence on manual field investigation in the prior art. According to the technical scheme, the method comprises the following steps: firstly, obtaining a multi-temporal Sentinel-2 image before and after a snow disaster, and carrying out the preprocessing of the multi-temporal Sentinel-2 image; extracting spectral bands, vegetation indexes and texture features to form an initial feature set; then, a key feature variable combination is determined through statistical significance filtering and machine learning optimization; on this basis, establishing a logistic regression discrimination model and determining an optimal classification threshold; and finally, carrying out snow disaster state classification on the moso bamboo forest region by utilizing the trained model, and generating a disaster region spatial distribution diagram.

The invention discloses an unsupervised unmanned aerial vehicle air combat situation assessment method based on a double attention mechanism and a BiGRU, and belongs to the technical field of crossing of machine learning and modern military. The method comprises the following steps: firstly, designing a clustering method, providing a parameter adaptive density grid clustering method based on a fuzzy theory to process a large-scale target, and establishing an air combat information sample set with time and tactical meanings to facilitate subsequent rapid evaluation; on the basis, an encoder-decoder structure taking BiGRU as a trunk is designed to extract depth information of a historical state and a subsequent flight state of a target in two directions, and a double attention mechanism suitable for time sequence data is improved, so that the model can better pay attention to key parts and key features of an input sequence. According to the method, the generalization ability and the practical application value of an air combat situation evaluation model can be improved, the processing ability and the evaluation precision of situation data are improved, the influence of irrelevant parts in high-dimensional and long-sequence time data on an evaluation result is reduced, and the modern air combat requirement is met.

The invention relates to the field of bridge damage rapid assessment, in particular to a bridge damage rapid assessment method based on residual displacement, which comprises the following steps: determining the section structure and stress condition of a pier; calculating the yield curvature and the limit curvature of the damaged section; according to the yield curvature and the limit curvature, respectively calculating the maximum displacement of the pier top when the damaged section yields and is damaged; building a pier column fiber unit model or a finite element model, applying forces corresponding to the maximum displacement of the pier top when the damaged section is yielded and damaged to the pier top, and then unloading to obtain the residual displacement when the damaged section is yielded and damaged; and the post-disaster bridge pier top residual displacement is measured on site and compared and evaluated. According to the method, the relation between the residual displacement and the section damage degree is established, the bridge damage rapid assessment method is provided, compared with an investigation comprehensive assessment method, the method is more objective, compared with a load test assessment method, the method is more economical, compared with a traditional structure analysis and calculation assessment method, complex initial defects do not need to be established, and calculation is simpler and more convenient.

The present invention belongs to the field of dimension measurement technology, and specifically relates to a method, system, device, and medium for evaluating the uncertainty of a large-scale multilateral coordinate measurement system. The method inputs the acquired target point coordinates into an error transfer model to obtain three coordinate uncertainty components corresponding to the coordinate values. This uncertainty coefficient is then calculated based on the uncertainty introduced by the offset of the reflector's optical center, and the uncertainty evaluation is performed. The present invention, based on the fundamental principles of the multilateral coordinate measurement system, simplifies the system coordinate system to reduce parameters, thereby reducing the amount of calculations. The method also provides a specific mathematical formula, which facilitates rapid evaluation at the measurement site and is easy for metrologists to learn and apply.

Tracked mobile X-ray imaging equipment is used to produce single or stereo long calibrated views of the anatomy of a patient on the operating table. The system estimates the position and orientation of the anatomical planes, virtually places measurement grids over these reference planes, and transforms any radiographic views taking by the X-ray imaging system onto these calibrated planes. The system may apply information about the depth of the anatomy to remove parallax artifacts. This system enables displaying and evaluation of the entire radiographic length of the anatomical planes using a mobile X-ray equipment. It also provides a platform for overlaying the real time X-ray images taken during operation with radiographic images of the patient or schematic of the surgical plan developed before the surgery for quick evaluation of a surgical plan.

The invention belongs to the field of electrical engineering, and relates to a dry-type transformer capacity rapid assessment method and system based on a two-section short-time small current, and the method comprises the steps: inputting a first section of small current I1 to a winding of a transformer, and collecting the winding temperature data T (t) 1 of the first section until a steady state is reached; under the condition that the power supply is not interrupted, the current is directly increased to a second section of small current I2, and the winding temperature data T (t) 2 of the second section is continuously collected until the stable state is reached again; fitting the winding temperature data T (t) 1 and T (t) 2, and outputting an index model and index model parameters; inputting the index model parameters into a power function model related to the load rate, and outputting power function model parameters; setting the load rate to be 100%, and calculating to obtain a temperature rise stable value and a time constant under the 100% rated current Ie of the transformer; and based on the GB / T1094.12 standard, comparing the average temperature rise of the winding with the maximum allowable temperature rise value, and evaluating the actual capacity and bearing capacity of the transformer. The device has the effects of saving energy, reducing consumption and improving efficiency.

The invention discloses a bridge pile group system earthquake damage rapid assessment method fusing Hilbert-Huang transformation and physical prior, belongs to the technical field of civil engineering and building earthquake resistance, and aims at solving the problems that a traditional method is lagged, physically unreasonable and limited in local monitoring. The method comprises the following steps: S1, model training and embedding: before an earthquake, constructing a deep learning model, and embedding a pile-soil vibration control equation and boundary conditions in the model as loss function constraint terms; s2, establishing a damage mapping relation: before an earthquake, establishing a quantitative mapping relation between a frequency domain index representing the overall dynamic characteristics of the system and an engineering demand parameter representing the local plastic damage degree; and S3, post-earthquake real-time evaluation: determining the overall damage degree and damage position of the structure according to the extracted frequency domain index difference on the basis of the established quantitative mapping relation during an earthquake.