452 results about "Stress level" patented technology

The invention relates to a stamping die service life dynamic evaluation system and method based on multi-mode sensing. According to the system, a feature extraction module obtains stress distribution data and crack position information and inputs the data into a trained three-dimensional stress field model to obtain dynamic feature parameters of a stress concentration area under high-frequency cyclic loads; the crack prediction module judges the dynamic characteristic parameters based on a preset threshold value, and once the dynamic characteristic parameters exceed the preset threshold value, analysis is carried out according to the mapping relation between the stress level and the crack rate and the microstructure evolution rule at the same time, and a crack propagation prediction value is generated. And the service life evaluation module inputs the crack propagation prediction value into the trained health state evaluation model, and finally the service life evaluation value of the stamping die is obtained. The service life evaluation value of the stamping die under the existing working condition and the operation condition is accurately estimated, the production efficiency is effectively improved, the production cost is reduced, the potential crack risk of the die is perceived in advance, and accurate and dynamic die service life evaluation is achieved.

The invention discloses a soft rock geological cavern tunneling construction method, belongs to the technical field of underground engineering tunnel construction, and aims to solve the safety risk problem caused by high surrounding rock deformation rate, insufficient supporting structure stability and dynamic adjustment lag in the tunnel construction process under the soft rock geological condition. According to the method, an upper pilot tunnel area, a middle pilot tunnel area and a lower pilot tunnel area are divided in the axial direction of a tunnel and excavated step by step, multiple layers of steel arches are sequentially installed, prestressed anchor rods are constructed, a real-time stress monitoring and early warning system is combined, the supporting force of adjustable hydraulic supporting rods is dynamically adjusted, and the deformation rate and the stress level of surrounding rock are controlled. According to the technical scheme, the method is characterized by comprising partition and layering excavation, steel arch and anchor rod collaborative supporting, stress monitoring point arrangement and a dynamic compensation mechanism. The method is mainly used for safe and efficient tunneling of the soft rock geological tunnel, the surrounding rock stability and the construction safety are remarkably improved through refined construction control and real-time feedback adjustment, and the method is suitable for tunnel engineering construction under the complex geological condition.

The invention relates to the technical field of livestock breeding, in particular to an intelligent feed optimal proportioning method based on pig herd nutrition analysis, which comprises the following steps: S1, collecting stress index data of a pig herd; s2, analyzing the stress level and the stress source of the swinery; s3, dynamically adjusting nutritional requirement parameters according to the stress level and the stress source, and determining nutrients needing to be adjusted under different stress conditions; s4, making corresponding stress mitigation measures based on the stress source and the stress intensity; s5, generating an optimal feed formula meeting the nutritional requirements of the swinery under the stress condition; and S6, converting the optimal feed formula into a production instruction, and sending the production instruction to feed production equipment. By dynamically adjusting the nutritional requirements of the swinery under different stress conditions and combining intelligent feed production equipment, precise feed formula optimization and efficient production are achieved, the feed utilization rate and the swinery health level are improved, and meanwhile the breeding cost is reduced.

According to one aspect of the disclosure, a method for measuring stress of a subject includes: transmitting, by a sensor, a wireless signal within an environment comprising the subject: measuring reflections of the wireless signal to generate a physiological signal responsive to changes in distance between the subject and the sensor over time: processing the physiological signal to extract feature data of the subject; and providing the feature data as input to a stress classification network to determine a stress level of the subject.

The invention belongs to the technical field of bridge engineering, and aims to eliminate the problem of systematic underestimation of web bearing capacity under the condition of standard effective loading length. The invention provides a method for correcting a local pressure bearing capacity calculation formula of a steel beam web, which comprises the following steps of: identifying and determining a key parameter ratio and an engineering application range thereof by carrying out sensitivity parameter analysis on a bending reduction coefficient; on the basis of the reference engineering case, fixed values are taken from part of parameters, and other geometric quantities are inversely calculated; based on a preset variable sequence, finite element models are established in Abaqus in batches, and the ultimate bearing capacity and the flange longitudinal stress level of each model are extracted; the standard calculation value is corrected according to a finite element result, the corrected ultimate bearing capacity of the steel beam web is calculated, and a corrected bending reduction coefficient is obtained accordingly; and finally, fitting a corrected formula about the regularized slenderness ratio on the correction coefficient by taking the specification parameter as an independent variable to obtain an expression capable of directly replacing the original specification. The method can significantly improve the calculation precision.

The invention relates to the technical field of data processing, and discloses a working condition operation efficiency monitoring method and system for flexible equipment, and the method comprises the steps: obtaining the tensile stress, bending angle and temperature change of the flexible equipment under different working conditions, analyzing the change rate and frequency of the tensile stress to divide the tensile stress into a plurality of grades, and calculating the working condition operation efficiency of the flexible equipment. The change rate and duration of the bending angle are analyzed to divide the bending angle into a plurality of intervals, and the rate, amplitude and frequency of temperature change are extracted to divide the temperature change into a plurality of modes; synthesizing the tensile stress grade, the bending angle interval and the temperature change mode to construct and classify multi-dimensional feature vectors, and establishing an efficiency monitoring database of the flexible equipment under all working conditions; and acquiring tensile stress, bending angle and temperature data of the flexible equipment in real time, matching the tensile stress, bending angle and temperature data with the efficiency monitoring database, and optimizing the working condition operation efficiency monitoring process of the flexible equipment according to the matched comprehensive monitoring score matrix.

The invention belongs to the technical field of creep prediction, and particularly discloses a long-time creep data prediction method and device based on short-time creep data, and the method comprises the steps: obtaining the steady-state creep rate data of a material at different stress levels through a multi-stage stress staged loading method based on the short-time creep data obtained through a short-time creep test; determining a first fitting parameter value of the creep deformation performance model through nonlinear fitting; determining creep stress indexes under different stress levels based on the steady-state creep rate data and the creep stress; determining creep damage parameters under different stress levels based on the creep stress indexes and a creep damage parameter model; determining a second fitting parameter value of the creep deformation prediction model through nonlinear fitting, and predicting long-time creep deformation of the material; and determining a third fitting parameter value of the creep life prediction model based on the second fitting parameter value, and predicting the long-time creep life of the material. According to the invention, long-time creep performance prediction based on short-time creep data is realized.

The present disclosure provides automated methods and systems for implementing a pipeline involving the training and deployment of a predictive model for predicting a stress level of an individual and recommending mental exercises for the individual. An exemplary method includes identifying an individual with an unknown stress level, obtaining one or more electrical or optical signals associated with stress from the individual, predicting a stress level of the individual based on the one or more electrical or optical signals obtained from the individual, wherein the stress level of the individual is predicted by a predictive model, and generating a recommendation for the individual based on the predicted stress level, the recommendation including one or more mental exercises for relieving stress for the individual.

A system, a method, and a computer program product is provided for alerting users based on brain signals. The alerting system receives brain signals from a wearable device worn by a user. The brain signals correspond to electroencephalography (EEG) signals associated with a brain of the user. The alerting system detects a spike in the received brain signals. The detected spike indicates an increase in a stress level of the user. The alerting system further determines one or more actions to be triggered based on the detected spike in the received brain signals. The alerting system controls a user device to trigger a first action associated with an initiation of a first call, indicating the increased stress level of the user, to a first set of user devices associated with a first set of users. The first action is included in the determined one or more actions.

Computer-implemented methods intelligently determine a stress level of an agent at a contact center. Such computer-implemented methods include identifying one or more escalation factors that are indicative of an escalation of stress. The computer-implemented methods include aggregating the one or more escalation factors that have been identified into a total stress level. The computer-implemented methods include presenting one or more stress reduction suggestions for reducing the total stress level.

The invention relates to the technical field of machine learning, and discloses a ceramic chip packaging process parameter optimization method based on machine learning, and the method comprises the steps: collecting first historical data of a target ceramic chip in a packaging process, and carrying out the preprocessing of the first historical data, and extracting second historical data; constructing a chip stress prediction model according to the second historical data; after real-time data is collected and preprocessed, the stress level of the chip in the future time period is predicted by combining the prediction model; if the predicted stress level is a warning or danger level, dynamically adjusting packaging process parameters of the ceramic chip; according to the method, the future stress risk level of the chip is predicted through a machine learning method, and the packaging process parameters are dynamically optimized and adjusted according to the prediction result, so that the stress failure risk in the packaging process of the ceramic chip is effectively reduced, and the reliability and yield of the chip are remarkably improved.

The invention provides a dynamic evolution measurement method for internal damage of a material in a high-temperature service environment, and mainly aims to solve the problem that the dynamic evolution process of micro defects such as micro holes and micro cracks in an engineering material in a high-temperature, high-pressure and closed environment is difficult to measure and the engineering problem that the life is not accurately predicted due to the holes. According to the technical scheme, a phased array nondestructive testing technology and a high-temperature testing machine are combined, the whole dynamic evolution process of the diameter of the micro-hole is actually measured, the function mapping relation between the micro-hole growth and displacement and the stress level is established, and the micro-hole diameter is accurately measured on the basis of the rigidity equivalence principle of a mechanical loading system of the testing machine. Therefore, the dynamic evolution measurement method for the internal damage of the material in the high-temperature service environment is obtained.

The invention provides chemically strengthened glass ceramics, cover plate glass, electronic equipment and a glass device, and belongs to the technical field of glass ceramics. The tensile stress linear density value of the chemically strengthened glass ceramic and the ratio of the stress integral of the tensile stress layer close to the middle position to the thickness t meet a specific difference relationship, so that the internal stress distribution of the chemically strengthened glass ceramic can be ensured to be safer under the condition of ensuring that the chemically strengthened glass ceramic has a relatively high overall stress level; therefore, the chemically strengthened microcrystalline glass can be kept in a safe stress state.

The invention discloses a model construction method considering the strain hardening and softening characteristics of a rib-soil interface, and the method comprises the steps: setting normal stress as a single variable, and obtaining a plurality of shear stress-shear displacement curves under different normal stress levels of a to-be-tested soil sample through a pull-out test; a model is established according to the influence rule of normal stress on the characteristics of the rib-soil interface and the change characteristics of the interface shear stress in the shearing process. According to the model considering the strain hardening and softening characteristics of the reinforcement-soil interface, the characteristics of the reinforcement-soil interface in different stress states can be predicted more accurately, the efficiency is high, and the cost is low.

The invention provides a reservoir mechanical integrity evaluation method under high-frequency injection and production. The evaluation method comprises the steps that S1, rock sample compressive strength and mechanical property parameters of a reservoir under multiple confining pressures are determined; s2, determining the upper limit and the lower limit of the reservoir pressure of the energy storage reservoir in the injection-production process; s3, obtaining the critical fatigue strength of the reservoir rock sample under a plurality of confining pressures within the designed age limit; s4, determining a deviating stress-average stress plane according to the compressive strength and the critical fatigue strength of the rock sample under the plurality of confining pressures, and dividing rock failure zones on the deviating stress-average stress plane; and S5, establishing a geomechanical model to predict the stress level of the reservoir, and judging the safety of the reservoir during the cyclic injection-production period from the perspective of mechanical integrity. Safe, efficient, economical and lasting operation of the energy storage warehouse is guaranteed, and a feasible method is provided for expanding the application range of compressed air energy storage.

The invention relates to the technical field of agricultural fishery machinery monitoring and control, and provides a mechanical stress monitoring and control method, device and system, the system comprises a controller, at least one biological characteristic monitoring device and at least one operation mechanism parameter interpreter, the method comprises the following steps: obtaining operation parameters of each operation mechanism from each operation mechanism; acquiring biological characteristic information corresponding to each monitoring site where each biological characteristic monitoring device is located from each biological characteristic monitoring device; and determining an execution instruction of an operation mechanism parameter interpreter based on the biological characteristic information of each monitoring site and a preset cumulative stress degree expected value, and sending the execution instruction to each operation mechanism for each operation mechanism to execute corresponding operation according to the execution instruction. Therefore, the stress degree of the fresh living organisms can be controlled under the preset constraint condition. According to the invention, the mechanical stress in the continuous operation process of the fresh biological material is effectively monitored, and can be effectively controlled and reduced.

The utility model relates to a framework type tower structure node structure which comprises a transverse rod, an inclined rod and a connecting module, and the transverse rod and the inclined rod are both arranged to be square pipes; the connecting module is arranged in the middle of the cross rod, the four inclined rods are detachably connected to the connecting module, and the four inclined rods are located in four different directions; the connecting module comprises a connecting plate and a connecting part; the connecting plates are attached to the upper side and the lower side of the transverse rod correspondingly and are detachably connected. The four connecting parts are arranged in one-to-one correspondence with the four inclined rods, are detachably mounted on the connecting plates located on the upper surfaces of the cross rods, and are used for detachably connecting the inclined rods with the cross rods. According to the framework type tower, the cross rods and the inclined rods of the square pipes are detachably connected through the connecting modules, the cross rod and inclined rod system does not have welding seams perpendicular to the stress level, the risk of fatigue damage of a welded steel structure is avoided, the welding work amount of nodes of the cross rods and the inclined rods is reduced, the production work amount is reduced, and the cost is reduced.

The invention provides a composite material bearing structure storage life evaluation method considering an acceleration stress lower limit, and the method comprises the steps: 1, carrying out the initialization modeling: enabling the service life of a product to obey the logarithmic normal distribution, and building a three-parameter inverse power law acceleration model of the service life feature theta and the stress level S; 2, estimating parameters: estimating unknown parameters by applying a maximum likelihood estimation method for the three-parameter inverse power law acceleration model; 3, model selection: comparing the calculated likelihood function values, wherein the larger the likelihood function value is, the more stable and more accurate the model is; meanwhile, the variation coefficients of the acceleration factors are calculated in combination with test data for comparison, and the model with the small variation coefficient is more accurate; and 4, accelerated life evaluation: giving reliability, and evaluating the storage life of the three-parameter inverse power law model. The method is suitable for accelerated test evaluation of a product with a threshold effect; the three-parameter inverse power law model provided by the invention can show a better model fitting effect when the acceleration effect does not meet the linear characteristic.

The invention belongs to the technical field of rock engineering, discloses a carbonaceous slate unsteady creep model construction method based on time-stress evolution, and aims to solve the problem that creep parameters of existing carbonaceous slate cannot be accurate due to the fact that the creep parameters are regarded as constants or expressed by a nonlinear function. The unsteady creep model comprises an improved generalized Kelvin body and a Newton body with a switch, wherein the Newton body takes the stress level into consideration, and the improved generalized Kelvin body is connected with the Newton body with the switch in series. According to the method, more accurate creep parameters of the carbonaceous slate can be obtained, and a theoretical model is provided for tunnel surrounding rock creep deformation research and tunnel long-term stability analysis of a carbonaceous slate stratum tunnel penetrating through an extremely high crustal stress area.

The invention relates to a fatigue limit rapid prediction method based on infrared thermal image energy dissipation characteristics. The method comprises the steps of sample preparation and pretreatment, fatigue loading stress level upper limit determination, infrared fatigue test and temperature rise data acquisition, thermal image data processing and temperature rise feature extraction, energy dissipation model construction, fatigue limit value prediction, error analysis and method verification. The method comprises the following steps: monitoring steady-state temperature rise rates under different stresses through a thermal infrared imager, establishing a relation curve between a dissipation rate and a stress amplitude, predicting a fatigue limit based on a least square method, and comparing the fatigue limit with an S-N test result for verification. Compared with a traditional method, the method has the advantages of high prediction precision, high response sensitivity, low loss, short test period and the like, and is particularly suitable for rapid fatigue limit prediction and strengthening effect judgment of the high-temperature alloy material subjected to laser-assisted ultrasonic rolling strengthening.

The invention belongs to the technical field of welding stress control, and discloses an inner floating disc splicing stress parameter optimization method and system. Real-time working condition information such as the construction stage, the accumulated stress level, the overall structure rigidity and field environment parameters is combined with a dynamic adjustment mechanism of a stress optimization priority set; therefore, the problem that global optimization control is difficult to realize under multi-target conflict, construction stage evolution, cumulative stress change and field environment disturbance is solved, and the effect of realizing continuous balance and global optimization control among the targets in the whole construction period is achieved.

The invention discloses a disturbance degree unified evaluation method considering soil stress and structural change, and belongs to the technical field of rock soil and underground engineering. The method comprises the following steps: calculating a soil body average effective stress used for representing a soil body stress state, and a body strain and a shear strain used for representing a soil body initial structure; calculating structural parameters for representing the initial structural property of the soil body; and substituting the calculated average effective stress, the shear strain, the body strain and the structural parameters of the soil body into a soil body disturbance degree evaluation formula, respectively calculating soil body disturbance degrees SDD under an unloading working condition and a loading working condition, and evaluating soil body disturbance caused by underground engineering construction. The method has the beneficial effects that the stress level change and the soil structure change caused by underground engineering construction are comprehensively considered, and the accuracy of disturbance degree evaluation is improved; soil disturbance can be accurately predicted before construction, and the method has important guiding significance on actual engineering deformation prediction, reinforcement scheme optimization and the like.

The present application relates to a complex variable function and model construction method for solving the stress field of rigid inclusion problems. First, for a given distal loading method and rigid inclusion shape, a corresponding conformal mapping function and distal boundary conditions are established; secondly, based on the boundary conditions of the matrix and the inclusion, a closed-form solution of the potential function that characterizes the stress field and displacement field in the matrix is ​​given with the help of the analytical properties of the potential function and the Cauchy integral; then, through the solved potential function, a numerical program for calculating the stress distribution on the interface between the matrix and the rigid inclusion is given; finally, for the stress at the corner point of the polygonal inclusion that has been obtained, an empirical formula for predicting the stress level using the curvature at the corner point is provided. It is convenient to calculate the stress distribution at the interface and analyze the influence of relevant parameters on the stress field; the research on the distribution of the stress field and the prediction of the stress level is relatively in-depth, and compared with the finite element method, it can greatly improve the calculation accuracy and speed.

Aspects of the subject disclosure may include, for example: obtaining first data that is associated with a first user and that is indicative of personality trait(s) of the first user; obtaining second data that is associated with a second user and that is indicative of personality trait(s) of the second user; receiving first usage data that is indicative of viewing by the first user of media content; receiving second usage data that is indicative of viewing by the second user of the media content; determining change(s) to be made to the media content, wherein the change(s) are in accordance with the first and second personality traits, and wherein the change(s) are designed to minimize a stress level of the first user and / or the second user; editing the media content to reflect the change(s); and providing edited media content to the first and second users. Other embodiments are disclosed.

The present invention discloses a slurry shield excavation device and method suitable for super gravity simulation. The shield body and the slag feeding and discharging system are fixed by a bottom plate and placed on a geotechnical centrifuge. The soil box and the shield power system are connected by the shield body, and the shield body is connected to the slag feeding and discharging system. The front partition divides the working cabin into a slurry cabin and an air cushion cabin. One end of the main shaft passes through the slurry cabin and the air cushion cabin in sequence and is connected to the cutter head, and the other end is connected to the driving motor; one end in the cabin shell is movably connected to the opening of the soil box, and the other end is fixedly connected to the power box. The slag feeding and discharging system is used to transport mud in the working cabin and discharge mud. A pressure maintaining system is provided inside the cabin shell, and the pressure maintaining system is used to control the gas pressure in the air cushion cabin. The present invention can restore the stress level of the actual soil and simulate the excavation process of the actual slurry shield. Through the excavation parameters, mud pressure and soil response law during the excavation process, a theoretical basis is provided for the construction of deep buried and cross-sea tunnels.

The invention discloses a recombined bamboo compression creep strain prediction method based on an improved Kelvin-Volight model, and the method comprises the steps: firstly carrying out the creep test of a recombined bamboo under two different stress levels, and employing a new Kelvin-Volight viscoelastic mechanical constitutive relation model defined based on a variable-order R-L fractional order theory to carry out the analysis of the recombined bamboo; obtaining main parameter values of the model under the two stress levels; secondly, respectively adopting an exponential function and a power function to fit the relationship between the stress and the main model parameters to obtain numerical values of the model parameters under any other specified stress level; and finally, on the basis of the parameter values obtained in the previous step and a Kelvin-Volight model, the compression creep of the recombined bamboo under other stress levels is predicted. Research results show that based on the method, the defect that the recombined bamboo is high in mechanical property dispersity can be effectively overcome, the compression creep strain of multiple recombined bamboo test pieces can be accurately predicted, and the method has good engineering applicability.

The invention discloses an electrolytic capacitor degradation accumulation model establishment method considering thermal stress level interaction, a degradation prediction method and equipment, and belongs to the technical field of reliability of electronic components. In order to solve the problem of large prediction result deviation when an existing electrolytic capacitor degradation model is used for predicting degradation of an electrolytic capacitor, the method comprises the following steps: firstly, carrying out a constant thermal stress degradation test, establishing a degradation model of capacitor parameters under constant thermal stress, and then carrying out a two-stage constant thermal stress degradation test. Estimating a path adjustment factor according to the test data, establishing a path adjustment factor mathematical model according to the path adjustment factor, determining a degradation accumulation model form, further establishing the path adjustment factor mathematical model, determining the degradation accumulation model form, and performing prediction according to the degradation accumulation model form. The method is used for electrolytic capacitor degradation prediction.

The invention discloses a ship mechanical and electrical product accelerated life test stress profile generation method and device, a medium and a product, and relates to the field of ship reliability engineering and test.The method comprises the steps that working condition profile data and marine environment stress data of a target ship mechanical and electrical product under a typical navigation task are obtained, and a working condition-environment mapping model is established; according to the designed life target of the target ship mechanical and electrical product, the whole life cycle total damage to the target ship mechanical and electrical product is determined by using the working condition-environment mapping model and the failure physical damage model, an accelerated stress profile is generated by strengthening the stress level with damage equivalence as the principle, an accelerated factor is calculated, and an accelerated life test is performed; and failure data of the failure event is recorded, parameters of the failure physical damage model are calibrated, and the accelerated stress profile is iteratively optimized by using the calibrated failure physical damage model. Accurate and dynamic generation of the accelerated life test stress profile of the ship mechanical and electrical product is realized.

The invention relates to a self-adaptive supporting structure for a high-crustal-stress soft rock large-deformation tunnel, which comprises a tunnel initial spraying leveling layer, a first-layer slide rail steel beam, a steel clamp, a second-layer slide rail steel beam, a supporting steel frame support and a measuring module, telescopic gaps are reserved between the sliding rail steel beams of all the sections, and the first layer of sliding rail steel beams are tightly attached to a tunnel initial spraying leveling layer and spliced with the second layer of sliding rail steel beams in a multi-section mode to form a ring. According to the self-adaptive supporting structure for the high-crustal-stress soft rock large-deformation tunnel, extrusion is locally reduced through the steel beams, meanwhile, energy generated during deformation is absorbed in a layered mode, the energy of the steel beams is greatly reduced from the first layer to the second layer, the supporting structure is protected, the supporting structure design concept of soft-first-rigid-second-soft-rock large-deformation is met, and the self-adaptive supporting structure is suitable for the large-deformation tunnel of the high-crustal-stress soft rock large-deformation tunnel of the high-crustal-stress soft rock large-deformation tunnel. The stress level of the supporting structure is reduced through layered stress release, and the ideal supporting effect is achieved.

The embodiment of the invention relates to the technical field of casting nondestructive testing, and provides a casting risk grading nondestructive testing method and device, electronic equipment and a medium, and the method comprises the following steps: simulating stress distribution of a casting in an acceptance stage or a service stage of the casting to obtain different stress horizontal intervals corresponding to the casting; according to different stress horizontal intervals, different parts of the casting are divided into areas of different risk grades; and for areas with different risk levels, different detection methods are adopted to carry out nondestructive detection on the casting. According to the embodiment of the invention, a more scientific method is provided for nondestructive testing in the acceptance stage and the service stage of the casting, and the leak detection risk in the acceptance stage and the service stage is reduced.