30 results about "Stress assessment" patented technology

The invention discloses a hot spot region recreation pressure assessment and early warning method based on tourist space-time tracks, and the method comprises the steps: recognizing a dynamic hot spot region and the space-time characteristics of the dynamic hot spot region through processing the tourist space-time tracks and geographic information data; further, multi-dimensional indexes are fused to evaluate a real-time recreation pressure index, and a space-time diagram network is constructed to model a pressure propagation relationship; utilizing a pre-trained space-time diagram prediction model to obtain a predicted pressure index and a propagation path in a future time period; and finally, generating a graded early warning and macroscopic dredging plan based on a prediction result, and issuing a personalized navigation strategy through a path induction algorithm in combination with individual position information. According to the method, dynamic and accurate evaluation and prediction of the scenic spot recreation pressure are realized, the pressure conduction risk can be recognized in a prospective manner, a cooperative regulation and control strategy from a macroscopic plan to individual guidance is generated, and the initiative and refinement level of scenic spot management is effectively improved.

The invention relates to the technical field of intelligent agricultural intelligent irrigation control, and discloses an intelligent irrigation analysis control system based on a crop growth period. The system comprises a crop image sequence, soil humidity profile data and a regional meteorological sequence. And the data analysis module is used for performing multi-stage growth state interpretation on the image sequence, generating a crop structure state profile in each growth period, performing vertical moisture exchange identification on the soil humidity data, and generating a root zone moisture dynamic map. And the habitat mapping and stress evaluation module synchronously executes habitat adaptability mapping and moisture stress risk mapping. And the irrigation decision module corrects the habitat mapping result according to the stress evaluation result and generates an irrigation decision profile. And the control instruction generation module generates a partition valve control instruction in combination with the decision profile and the alternate irrigation rule. According to the invention, deep fusion analysis of the crop growth state, the root zone moisture and the meteorological environment is realized, and the irrigation decision accuracy and the water resource utilization efficiency are improved.

The invention discloses a flight student pressure assessment system based on fusion of heart rate variability and multi-modal data, and relates to the technical field of flight training. The data acquisition module is used for acquiring heart rate variability data, electroencephalogram data, galvanic skin data and behavior data of a flight student, and constructing a data set after preprocessing; the feature extraction module is used for extracting features from the data set and comprises the steps of extracting time domain features and frequency domain features from heart rate variability, calculating phase synchronism of different electroencephalogram channel signals based on a phase locking value, extracting energy features of each frequency band and decomposing a skin electric signal on different time scales based on wavelet transform; and extracting a baseline value and fluctuation amplitude characteristics. According to the method, the limitation of a single index is broken through by integrating the heart rate variability physiological signal and the limb movement behavior data; the system assists students in cognitive pressure, personalized guidance of coaches and mechanism optimization training, promotes flight training to be changed from experience driving to data driving, and provides early warning measures for high-risk flight students.

The invention relates to the technical field of vibration engineering, and discloses a battery rack welding seam swing working condition stress assessment method and system, and the method comprises the steps: synchronously collecting a vibration response signal and an excitation reference signal of a vibration sensor at a welding seam key point when a container type power supply device is in a swing working condition; performing phase-space reconstruction on the vibration response signal to obtain a vibration signal correlation dimension, and analyzing a dynamic equivalent stress amplitude of the weld joint key point according to the vibration signal correlation dimension; combined vibration deformation analysis is conducted on the vibration response signals and the excitation reference signals, and dynamic strain field distribution corresponding to the weld joint key points is obtained; according to the dynamic strain field distribution and the constitutive relation parameter increment of the battery rack material, iteratively analyzing the dynamic stress time domain process of the weld joint key point; and according to the stress data in the dynamic stress time domain process and the dynamic equivalent stress amplitude, the battery rack welding seam swing working condition stress is determined. According to the invention, the accuracy of battery rack welding seam swing working condition stress assessment can be improved.

The invention discloses a superposed beam hanging basket structure stress checking calculation method based on multi-working-condition load combination, and belongs to the technical field of bridge construction safety monitoring. According to the method, a beam element finite element model based on the actual geometric dimension and the connection relation is established, and the boundary conditions of hinge constraint or spring unit constraint and lateral displacement limitation are set; load parameters including dead load, live load and wind load are defined, a multi-working-condition load combination is set according to building structure load specifications, and the structural safety is judged by comparing strength and deflection after calculation. The method is mainly used for solving the problem of inaccurate stress evaluation caused by single load working condition and simplified boundary condition in the traditional hanging basket checking calculation, and provides more reliable safety guarantee for the construction of the hanging basket of the composite beam bridge.

According to the method for constructing the stress evaluation path of the pressure-bearing container, a node P0 with the maximum stress value on the wall surface of the container is obtained through finite element analysis to serve as the starting point of the stress evaluation path, and the wall surface A1 where the P0 is located and the wall surface A2 opposite to the wall surface A1 are determined; an initial grid size t1 is set on the opposite side wall face A2, a face grid N1 is divided, the grid size is halved to t2, and a face grid N2 is re-divided; finding nodes P1 and P2 with the minimum distance from the starting point P0 under different grid densities, and recording corresponding distances D1 and D2; calculating a relative error e between the D1 and the D2, and comparing the relative error e with a preset error tolerance value: if the error e is greater than the tolerance value, assigning a grid size t2 to t1, returning to the step of re-dividing the grid and searching the nearest node until the error e is not greater than the tolerance value, taking a straight line segment defined by P0 and finally determined P2 as a stress evaluation path of the container at the part, and the accuracy of stress evaluation is improved.

The invention discloses an assessment test and decision-making method for regression use of a domestic plastic package layered device based on layering characteristics, and relates to the field of reliability assessment and test of plastic package layered devices. The process comprises the following steps: obtaining a screened plastic package layered device, and determining an initial state and basic parameters of a to-be-tested device; extracting hierarchical feature data; classifying the devices based on the hierarchical features; designing a multi-stress assessment test, and carrying out the multi-stress assessment test on different layered devices to obtain reliability layered characteristic changes and test data of the devices; and judging the regression use qualification of the device. The hierarchical feature data is obtained through an acoustic scanning microscope and a computer vision algorithm based on OpenCV; the design method of the multi-stress assessment test is an iterative test framework comprising configurable environmental stress (such as high temperature and high humidity, temperature cycle) and synchronous electrical stress (such as dynamic / static signals); the regression use decision-making method is a comprehensive decision in combination with the category of the device, the electrical parameter state after examination, the layering proportion change trend and whether reliability improvement measures such as coating and the like are added or not; according to the method, the screened layered devices can be scientifically evaluated and recycled, and the accuracy and economical efficiency of screening decisions are remarkably improved.

This invention discloses a method and system for the operation and maintenance of a shielded pump in a nuclear reactor experimental setup. By monitoring the stress of devices related to the shielded pump within the experimental setup and utilizing a stress assessment model for the shielded pump, the invention enables a clear, comprehensive, and real-time diagnosis of the pump's operating status. This allows for more rational intervention in preventative partial and full disassembly inspections of the shielded pump, enhancing the targeted nature of maintenance interventions, saving manpower and time costs, and increasing the safety and economy of shielded pump operation and maintenance.

This invention relates to the field of early warning technology, and discloses a cable stress intelligent sensing and early warning method and device, comprising: a force acquisition module to acquire standardized multi-point force array data; a reference separation module to extract thermal effect baseline and contact deviation data and divide complete cycle periods; a deformation reconstruction module to generate potential deformation and bending deformation based on a swarm intelligence algorithm; an offset extraction module to acquire the offset of the eccentric hysteresis center; a stress assessment module to fuse the above parameters to amplify the average force value to obtain the equivalent stress index; a dynamic threshold module to generate a safety threshold based on historical data and calculate the over-limit ratio; and finally, an early warning module to output an alarm status. This invention can accurately locate hidden bending peaks induced by micro-rotation angles, achieving early warning.

This invention discloses a method and apparatus for stress assessment during the demolition of multi-story bridges, relating to the field of demolition construction technology. The apparatus includes a mobile mechanism with a detection mechanism, an opening mechanism, and a counterweight mechanism at its top. The mobile mechanism also includes a base, with gear A on its side and gear B at its top. A track A is attached to the top of gear B. A connecting plate is mounted on the left side of the base, and a bottom plate is mounted on the left side of the connecting plate. This allows for precise linkage between a sliding block and an adjusting plate, adjusting the infrared detection head to the optimal detection angle and ensuring the stress plate is in close contact with the ground. This automated detection process reduces manpower requirements and avoids data acquisition chaos caused by multiple manual operations, achieving more efficient and accurate detection results and providing more convenient and reliable technical support for bridge maintenance.

The invention relates to the technical field of behavior recognition, in particular to a crocodile stress intelligent evaluation system based on behavior characteristics, which comprises a time sequence behavior collection module, an interval dynamic analysis module, a feeding fluctuation collaboration module, a trend grading judgment module and a stress alarm linkage module. According to the method, through multi-dimensional structured recombination of behavior characteristic data, deep cooperation of a feeding response time sequence, environment change and a behavior link is achieved, unified archiving of the total feeding amount, interval change and trend classification is achieved, the accuracy of stress state judgment is improved, links such as periodic behavior comparison, fluctuation trend classification and label output penetrate through the whole process, and the accuracy of stress state judgment is improved. Whole-process tracing and fine anomaly analysis of a crocodile stress link are supported, coherence and consistency of evaluation output are guaranteed through automatically generated trend classification and grade labels, isolated judgment limitation is eliminated through data intercommunication, integrated triggering of grading, alarming and displaying is achieved, and the intelligent stress evaluation requirement for continuous period and accurate quantification under dynamic breeding management is met.

The invention provides a stress assessment method and system used in a repeated spinal orthopedic surgery process, and relates to the technical field of medical equipment, muscle tremor data of a patient is collected based on a piezoelectric sensor unit, and the muscle tremor data is transmitted to a cloud data center through a lower computer; and patient pain tolerance and infection rejection risk analysis is performed on the muscle tremor data based on the cloud data center. Therefore, real-time evaluation of spinal stress distribution and pain tolerance is realized, the defect that the traction force is judged according to experience traditionally is overcome, and it is ensured that the acting force of the traction device is matched with the individual tolerance of a patient; the sensitivity of the piezoelectric sensor to the temperature is utilized, the skin temperature change is analyzed through data processing, real-time early warning of infection and rejection reaction near the steel nail is achieved, and compared with a traditional regular inspection mode, the timeliness of complication intervention is remarkably improved.

The invention discloses a lithium battery diaphragm internal stress rapid assessment method and system, belongs to the technical field of batteries, and solves the problem of how to reduce the operation complexity and equipment cost of a lithium battery diaphragm stress assessment method. Comprising the following steps: S1, cutting a sample from a lithium battery diaphragm to be detected, and marking an initial size; s2, on the basis of a stepped heating method, performing stepped constant-temperature heating treatment on the sample at a plurality of different temperature stages, inducing staged release of internal stress of the sample, and measuring the size of the sample after heating treatment; s3, on the basis of the initial size and the size obtained after heating treatment, the corresponding heat shrinkage change rates of the sample in different temperature stages are calculated, and the internal stress level of the diaphragm is directly evaluated according to the change trend of the corresponding heat shrinkage change rates in all the temperature stages; the stepped heating temperature stage is designed to correspond to stress release of different energy levels, the accuracy of diaphragm stress evaluation is effectively improved, complex instruments are not needed, and the method has the advantages of being easy to operate, low in equipment cost and high in evaluation speed.

The invention discloses a quick stress assessment method for a bogie frame angle structure based on response surface model adaptation, and relates to the technical field of engineering hoisting machinery. The technical problem that the stress of the angular structure of the bogie frame cannot be quickly calculated is solved. The method comprises the steps that a trolley frame finite element model is established, and stress influence key parameters are analyzed and determined based on trolley frame angle form structure sensitivity; performing response surface (RSM) method test design based on the key parameters, extracting key parameter sample data, and constructing a sample matrix; a key parameter and stress mapping relation is obtained based on the response surface model, and a single factor-stress and multi-factor-stress agent model is established; and a single-factor-stress agent model and a sample matrix are used for correcting a multi-factor-stress agent model, so that the accuracy of the model is improved, and rapid and accurate evaluation of the structural stress is realized.

The invention discloses a psychological stress pre-judgment method and device based on motion features. The method comprises the following steps: acquiring user motion original data comprising X-axis acceleration data, Y-axis acceleration data and Z-axis acceleration data at a sampling frequency of 10-50Hz through a three-axis EMS accelerometer, and converting the user motion original data into a step number sequence with a timestamp; preprocessing the step number sequence to obtain a dynamic motion signal matrix; extracting micro tremor features, action mode features and behavior rhythm features from the dynamic motion signal matrix to form a 6-dimensional feature vector; collecting normal step number data of a preset number of days of a user to establish an initial individual datum line, and updating the individual datum line in a rolling manner based on the newly generated normal step number data; and inputting the six-dimensional feature vector into a stress assessment model constructed by an improved random forest algorithm, and outputting a real-time psychological stress value by comparing the deviation between the six-dimensional feature vector and an individual datum line and combining a preset interference elimination mechanism. According to the scheme, the psychological stress can be quantified through the step number features, detection misjudgment is reduced, and the detection accuracy is improved.

The application discloses a kind of based on the hot spot area recreation stress evaluation and early warning method of tourist space-time track, by processing tourist space-time track and geographic information data, dynamic hot spot area and its space-time characteristics are identified;Further, the real-time recreation stress index is evaluated by fusing multidimensional index, and the space-time graph network is constructed to model the stress propagation relationship;Using pre-trained space-time graph prediction model, the predicted stress index and propagation path of future period can be obtained;Finally, based on the prediction result, generate graded early warning and macroscopic diversion plan, and publish personalized guide strategy through path induction algorithm in combination with individual location information.The application realizes the dynamic and accurate evaluation and prediction of scenic spot recreation stress, can prospectively identify stress conduction risk, and generate coordinated control strategy from macro plan to individual guidance, effectively improve the initiative and fine level of scenic spot management.

A gas pipeline local stress evaluation device disclosed by the present invention comprises an annular shell, the shell sleeves the gas pipeline, at least two deformation detection devices are uniformly distributed on the shell along the radial direction of the gas pipeline, the deformation detection devices are provided with force detection rods, the inner ends of the force detection rods abut against the outer wall of the gas pipeline, and the outer ends of the force detection rods abut against the outer wall of the gas pipeline. The outer end of the force detection rod extends outwards in the radial direction of the gas pipeline, the outer end of the force detection rod extends into an inner cavity of the shell through a first sliding hole formed in the inner wall of the shell, a tension and pressure sensor is fixedly arranged on the inner wall side of the outer side wall of the shell, and the outer end of the force detection rod is connected with the tension and pressure sensor through a spring. The device is used for detecting the deformation of the key part of the gas pipeline, so that a manager can conveniently evaluate the stress borne by the gas pipeline, and data support is provided for the manager to evaluate the health condition of the gas pipeline.

To provide a method capable of conveniently and accurately determining stress.SOLUTION: The present invention provides a method for acquiring stress determination data, the method including measuring a stress determination marker that includes at least one selected from pyruvic acid, nicotinamide, Ile, N-acetyl-β-alanine, 2AB, choline, Val, uracil, xanthine, estrone, inosine, adenosine, and Leu in a biological sample derived from a subject, or includes a combination of at least one selected from propionic acid, spermine, 3-methylbutanoic acid, 4-methyl-2-oxopentanoic acid, diethanolamine, putrescine, and body temperature together with at least one of the above.SELECTED DRAWING: Figure 1

Apparatus for protection of electronics in a radiation-prone environment from incoming particles that may cause damage, comprises one or more radiation-detecting layers extending at least partially over one or more sides of a radiation-sensitive electronic device that needs protection, the radiation-detecting layer being configured to obtain an estimate of a characteristic, such as the LET (linear energy transfer), of the incoming particle, A stress assessment unit determines whether the measured characteristic implies a threat to the radiation-sensitive electronic device, and if it does, then a protection module associated with the stress-assessment unit powers down all or part of the radiation-sensitive electronic device within a predetermined time after the incoming particle has been detected, thereby to protect the radiation sensitive electronic device from damage due to the detected particle. The power down is typically completed within a short enough time to avoid damage.

The present application relates to the technical field of stress evaluation, and in particular to a stress evaluation method and system based on active physical interaction, which comprises: obtaining passive physiological data, the passive physiological data comprising at least one of HRV data, EDA data, PPG data, blood pressure data, blood oxygen saturation data and sleep quality data; calculating a physiological load level according to the passive physiological data; updating a physiological load baseline according to scenario data; the physiological load baseline being a dynamic threshold for judging whether the stress level is abnormal, which changes with the scenario in which the user is located; and comprehensively determining the stress level of the user according to the physiological load baseline and the physiological load level. The present application can greatly improve the accuracy of stress evaluation of a user by a wearable device, reduce the misjudgment rate and improve the user experience.

This invention relates to the field of cobia farming, and discloses an intelligent feeding and health management method suitable for cobia relay farming across land and sea. The method includes the following steps: healthy cobia relay farming of fry is achieved through feeding screening and classification, transportation stress assessment, long-distance transportation technology optimization, water quality parameter control, and intelligent feeding. A superior farming environment is provided by using wind- and wave-resistant marine cages. This invention ensures the nutritional needs of the fry. Simultaneously, scientific farming management and timely disease observation and prevention guarantee the healthy and rapid growth of the fry.

The invention discloses a stress evaluation method, device and equipment of a pressure vessel, a medium and a product. The method comprises the following steps: acquiring a finite element mesh model corresponding to a pressure vessel; the pressure container comprises a main body structure, a connecting pipe structure connected with the main body structure in a penetrating mode and a connecting structure arranged along an intersecting line between the connecting pipe structure and the main body structure. According to the multiple circumferential angles along the intersecting line, first grid nodes located on the intersecting line in the finite element grid model are determined; according to each first grid node, determining a first check path in the finite element grid model along the thickness direction of the connection structure, and performing linear stress analysis on each first check path to obtain first stress data; determining a stress evaluation result of the pressure vessel according to the plurality of first stress data; wherein the stress evaluation result represents the evaluation result of the pressure vessel at each circumferential angle, and the stress evaluation is performed on the pressure vessel in all directions, so that the accuracy of the stress evaluation is improved.

This application belongs to the field of stress assessment for thin-walled structures, and specifically relates to a rapid assessment method for the critical stress of a cylindrical shell structure under external pressure. The method includes: Step 1, calculating the theoretical critical pressure of the cylindrical shell under external pressure based on its geometric parameters; Step 2, obtaining the experimental critical pressure of the cylindrical shell under external pressure through experiments; Step 3, defining a stability coefficient, and fitting a stability coefficient curve based on the theoretical and experimental critical pressures; Step 4, extracting the stability coefficient from the stability coefficient curve based on the geometric parameters, and calculating the critical pressure of the cylindrical shell under external pressure based on the stability coefficient and the theoretical critical pressure. This application, combining experimental results and introducing a stability coefficient K, yields a corrected formula that approximates the experimental results. By plotting the stability coefficient curve and combining it with the geometric parameters of the cylindrical shell, the stability coefficient K can be quickly obtained, thereby rapidly determining the critical pressure of the structure.

This invention relates to the field of vibration engineering technology, and discloses a method and system for assessing the stress of battery frame welds under swaying conditions. The method includes: simultaneously acquiring vibration response signals and excitation reference signals from vibration sensors at key points of the weld when the containerized power unit is under swaying conditions; reconstructing the phase space of the vibration response signals to obtain the correlation dimension of the vibration signals; analyzing the dynamic equivalent stress amplitude at the key points of the weld based on the correlation dimension of the vibration signals; performing joint vibration deformation analysis on the vibration response signals and excitation reference signals to obtain the dynamic strain field distribution corresponding to the key points of the weld; incrementally iteratively analyzing the dynamic stress time-domain history of the key points of the weld based on the dynamic strain field distribution and the constitutive relation parameters of the battery frame material; and determining the stress of the battery frame weld under swaying conditions based on the stress data and dynamic equivalent stress amplitude in the dynamic stress time-domain history. This invention can improve the accuracy of stress assessment for battery frame welds under swaying conditions.

This disclosure discloses a method for evaluating non-uniform stress in thin films using high-order wafer warpage, comprising the steps of: measuring a net wafer warpage attributable to thin film deposition across a wafer region, adapting a two-dimensional low-order polynomial to these wafer warpage measurements, and subtracting the low-order polynomial from the net wafer warpage across the wafer region.

This invention discloses a method for constructing a stress assessment path for a pressure vessel. The method uses finite element analysis to obtain the node P0 with the maximum stress value on the vessel wall as the starting point of the stress assessment path, and determines the wall surface A1 where P0 is located and its opposite wall surface A2. An initial mesh size t1 is set on the opposite wall surface A2, and a surface mesh N1 is created. The mesh size is then halved to t2, and the surface mesh N2 is re-created. Under different mesh densities, nodes P1 and P2 with the smallest distance from the starting point P0 are found, and their corresponding distances D1 and D2 are recorded. The relative error e between D1 and D2 is calculated and compared with a preset error tolerance value. If the error e is greater than the tolerance value, the mesh size t2 is assigned to t1, and the process returns to re-creating the mesh and finding the nearest node until the error e is no greater than the tolerance value. The straight line segment defined by P0 and the finally determined P2 is used as the stress assessment path for that part of the vessel, thus improving the accuracy of stress assessment.

This invention discloses a cloud document collaborative office management method and system based on big data behavior analysis, belonging to the field of big data analysis technology. The method and system include: S1, collecting cloud document collaborative operation data, preprocessing the data, storing it, and constructing a document management database; S2, performing window span adjustment, partition parallelism shaping, and operator migration optimization operations based on performance diagnosis results; S3, performing concurrency scale control, non-real-time task rate limiting buffering, and heterogeneous resource orchestration operations based on stress assessment results; and S4, integrating operation logs and scheduling process data for scheduling optimization analysis, and achieving closed-loop optimization of resource orchestration and scheduling backtracking based on the optimization analysis results. This solves the problems of large fluctuations in link performance, difficulty in quantifying and controlling resource load pressure, and difficulty in closed-loop optimization of scheduling strategies during cloud document collaborative operation.

The invention relates to a method for calculating the real load of a diesel engine part, which comprises the following steps of: establishing an engine part modal simulation model, and performing modal simulation; checking a modal participation factor, and then selecting an order for stress assessment; selecting a pasting position of the strain gauge based on a preset position algorithm; carrying out static test loading; obtaining a correlation coefficient between the load and the strain; performing an engine dynamic test to obtain actual strain data of the strain gauges; carrying out load calculation to obtain an actual load; and performing transient calculation to obtain actual stress distribution and actual acceleration load. The invention provides a method for calculating a real load. The risk point caused by the engine as periodic excitation is accurately identified; the accuracy of load estimation is improved; and the real stress distribution and load size can be quickly and effectively calculated.

The invention discloses a state control method, device and equipment, a medium and a product. The method comprises the following steps: acquiring a first ballistocardiogram signal; performing preprocessing and feature extraction on the first ballistocardiogram signal to obtain a first physiological feature parameter contained in the first ballistocardiogram signal; processing the first physiological feature parameter through a sleep staging model to obtain a sleep staging result of the user; when the sleep staging result indicates that the user is in a set sleep period, processing the first physiological feature parameter through a pressure evaluation model to obtain a pressure level of the user; and when the pressure level exceeds a set level, determining that the user is in an abnormal sleep state, and controlling intervention equipment to work according to a working mode indicated by a target intervention strategy. According to the method, the sleep abnormal state can be automatically identified and timely intervention is implemented, so that the sleep quality is improved.

To provide a stress determination device and the like capable of determining a state of stress of a subject without allowing the subject to be aware of measurement.SOLUTION: A stress determination device includes: a display control section for displaying a predetermined web site; a first reception section for receiving a selection operation to select an object which a subject desires to acquire on a web site; a second reception section for receiving a decision operation to decide acquisition of the object selected by the selection operation on the web site; a detection section for detecting an emotion of the subject when the decision operation is received; and a determination section for determining a state of stress of the subject based on the detected emotion.SELECTED DRAWING: Figure 14