43 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.

A method for assessing a state of stress of an individual when the individual is contacting a receiving surface of a device comprising a pressure sensor comprising a plurality of elemental gauges, each elemental gauge having a gauge factor of at least 10, the method comprising acquiring and digitizing each signal delivered by each elemental gauges of the pressure sensor each signal comprising a pseudo-periodic part, exploring the signal and detecting patterns corresponding to heartbeats, measuring an Inter-Beat interval and recording in a heartbeat timestamped file each Inter-Beat Interval, from the heartbeat timestamped file computing at least 3 stress indices and categorizing the state of stress of the individual based on the at least three indices and a stress assessment program implementing a trained algorithm, among an increasing stress, a decreasing stress and a neutral state.

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.

The invention relates to a simple assessment method for axial crack T stress under a surfacing layer of a pressure-bearing container. The simple assessment method comprises the following steps: S1, constructing a reference fracture parameter database of axial cracks under the surfacing layer of the pressure-bearing container under a non-uniform stress condition; s2, calculating the three-dimensional stress of the crack-free pressure-bearing container under the actual operation condition; s3, virtual fracture parameters at the virtual crack tip in the crack-free pressure-bearing container under the actual operation working condition are calculated; and S4, evaluating the T stress of the lower axial crack of the surfacing layer of the pressure-bearing container under the actual operation condition. The simple evaluation method for the axial crack T stress under the surfacing layer of the pressure-bearing container is provided based on the fracture mechanics superposition principle, reliability analysis of the pressure-bearing container containing the axial crack under any surfacing layer can be achieved, the output bottleneck of large-scale numerical simulation is effectively relieved, and the precision and efficiency of structural integrity evaluation of the in-service pressure container are improved.

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 relates to the field of materials testing technology and discloses a simulation method for coating performance based on high and low temperature cycling and prestress loading. By acquiring measured operating data of pipes or components, a composite geometric model of the coating substrate containing microporous structures is constructed. Surface roughness and interface curvature characteristics are quantified using reverse engineering. A dynamic temperature-pressure coupling equation is generated based on the thermal expansion effect of high-pressure media. The microporous optical load is converted into an equivalent heat flux density using a ray tracing algorithm. The transient boundary conditions of the temperature and stress fields are correlated. The crack initiation path is simulated using the extended finite element method. The lifetime decay curve is predicted using the Paris formula. Material parameters are dynamically corrected based on experimental data to generate a multi-parameter collaborative optimization model. This invention solves the problems of distorted interface stress assessment and lifetime prediction bias under composite loading, providing multi-physics collaborative simulation support for optimizing the compressive strength performance of coatings.

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.

Stress assessment devices and methods are disclosed. In one embodiment, a method includes acquiring an image of a user, recognizing a region of interest (ROI) in the image, analyzing the ROI to generate statistics, and determining a level of stress experienced by the user based on the statistics. In one embodiment, an apparatus includes an image sensor that acquires an image of a user and a processor configured to perform operations that include recognizing a region of interest (ROI) in the image, analyzing the ROI to generate statistics, and determining a level of stress experienced by the user based on the statistics.

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 present invention provides a personalized psychological stress reduction intervention system and device, relating to the field of psychological stress reduction technology. The system primarily comprises a data acquisition module, a data processing module, and a result generation module. The data acquisition module is constructed based on the Apache Storm system and includes a Spout component and several Bolt components. The Bolt components store a pre-trained three-category model and are used to output three correction signals: enhanced intervention, maintained intervention, or weakened intervention. The data processing module includes a stress index unit, a VR generation unit, a feedback adjustment unit, and an evaluation and analysis unit. The result generation module is used to externalize the evaluation and analysis results. This solution utilizes VR technology to provide immersive stress reduction for subjects. Through big data technology and machine learning, the system collects the subject's physiological data in real time, provides feedback on the effects of the psychological stress reduction intervention, intelligently corrects VR material, generates a stress index change curve and an intervention effect evaluation report, and provides personalized stress assessment and stress reduction recommendations.

The invention discloses an intelligent scheduling method for a die stamping production line. The intelligent scheduling method comprises a data acquisition step, an analysis step, a calculation step, a judgment step, a scheduling I step, a scheduling II step, a load reduction step, a migration step and an optimization step. According to the method, the pressure data and the temperature data are cooperatively monitored in real time, so that the probability of stress evaluation deviation caused by pure dependence on the pressure data is reduced, the scheduling strategy is optimized in time, the probability of occurrence of conditions such as energy waste or untimely mold scheduling is reduced, the adaptive adjustment capability of mold scheduling is improved, and the service life of the mold is prolonged. The stamping speed is reduced, the pressure maintaining time is prolonged, wait time waste is reduced, the comprehensive efficiency of equipment is improved, productivity loss is reduced, and therefore the production efficiency of materials 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 present invention discloses a ship structure stress field detection system and method based on ultrasonic guided waves. The system comprises: a guided wave excitation receiving module, a signal processing module, a stress assessment module, and an imaging output module. The guided wave excitation receiving module excites the ship structure and receives the guided wave signal from the ship structure, transmitting it to the signal processing module. The signal processing module preprocesses the received guided wave signal, extracts the signal's time domain and frequency domain characteristics, extracts stress-related information, and transmits it to the stress assessment module. The stress assessment module calculates the guided wave signal group velocity along different paths based on the guided wave signal's flight time, and calculates the stress field distribution of the ship structure under different operating conditions using the finite element method of material mechanical properties. The imaging output module generates a stress field distribution image of the ship structure in the detection area based on the stress field distribution. The present invention can realize stress field detection of ship structures under different operating conditions and has the advantages of non-destructiveness and high sensitivity.

The invention discloses a pipeline stress assessment method, device and equipment and a medium. The method comprises the following steps: obtaining structure detection data and stress detection data of a crude oil pipeline; wherein the stress detection data comprises a plurality of sampling points; determining depression data of the crude oil pipeline according to the structure detection data; wherein the depression data comprises depression depth categories and depression strain data; determining a target signal amplitude of a recess depth category based on the stress detection data; and determining a stress evaluation result corresponding to each sampling point in the crude oil pipeline according to the depression strain data and the target signal amplitude. According to the technical scheme, the comprehensive stress level quantitative evaluation of each position of the pipeline is realized, and the applicability of detection data analysis in the pipeline is improved.

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.