17 results about "Stress estimation" patented technology

The invention discloses an aero-engine part fatigue crack propagation identification method based on machine vision. The method comprises the following steps: S1, obtaining an image block sequence; s2, inputting each image block into a pseudo stress estimation network to generate an image block pseudo stress diagram; s3, inputting the image block and the image block pseudo-stress diagram into an image feature decoupling coding module, and outputting a fusion feature vector; s4, inputting the fusion feature vector into an improved fox algorithm, and generating a crack path guide map and a direction vector field; s5, inputting the image block pseudo-stress diagram, the crack path guide diagram, the direction vector field and the fusion feature vector into a crack mask generation module, and outputting an image block crack mask; s6, splicing the image block crack masks according to the positions of the image blocks in the surface image to generate a complete crack structure diagram; and S7, outputting a crack propagation result based on the complete crack structure chart. According to the method, machine vision and an evolutionary path optimization method are fused, and accurate recognition of aero-engine crack propagation is achieved.

The invention discloses a tire pressure monitoring device and method based on a passive RFID temperature tag. The tire pressure monitoring device comprises the passive RFID temperature tag, a reader-writer module and a data processing unit. And the passive RFID temperature measurement tag is fixed on the inner wall of the tire, receives the radio frequency energy sent by the reader-writer module, and collects the internal temperature of the tire in real time. The reader-writer module is fixed near a hub of a vehicle, performs polling communication with the passive RFID temperature measurement tag through a multi-band radio frequency technology, and transmits tire internal temperature data returned by the passive RFID temperature measurement tag to the data processing unit. And the data processing unit indirectly derives the tire pressure by utilizing a thermodynamic equation and combining parameters such as tire structure change, vehicle speed and load, so that high-precision and low-power-consumption tire pressure monitoring is realized. According to the method, the tire structure does not need to be damaged, non-contact pressure estimation and dynamic modeling can be achieved, and the method has the advantages of being simple in structure, high in reliability, wide in applicability and the like.

The invention provides a seamless track blow-off locking miniaturized high-precision measurement method and device, and the method comprises the steps: collecting the rail seam opening degree and steel rail temperature data in real time, and constructing a state input vector; calculating the strain and equivalent stress of the steel rail based on the state input vector, and introducing a structural position sensitive correction term to improve the accuracy of stress estimation; the locking state in the rail seam diffusion process is identified through the lightweight gated loop network model by utilizing the time sequence data of the strain and the corrected stress, and a state classification label is output; and according to the state classification label and the corrected stress value, generating a locking operation suggestion, and providing a visual prompt for construction personnel through terminal equipment. According to the method, a stress estimation method is combined with a time sequence analysis algorithm, so that state judgment is converted from a static index to a dynamic trend, and the locking decision-making efficiency and reliability in the construction process are remarkably improved.

The stress estimation device acquires the awakening degree of the subject and calculates the feature amount of the acquired awakening degree. The feature amount of the awakening degree is, for example, a ratio at which the temporal change of the awakening degree is within a predetermined range, information defining a histogram showing the distribution of the temporal change of the awakening degree, and the like. Then, the stress estimation device estimates the stress from the calculated feature amount using the stress model.

The invention discloses a zinc oxide arrester resistor disc temperature rise and stress estimation method considering a temperature coefficient and a skin effect, and belongs to the technical field of zinc oxide arrester resistor disc temperature rise and stress estimation. In order to solve the defect of large simulation result difference under different initial conditions, the influence of the temperature coefficient and the skin effect on temperature rise and stress is considered, the temperature difference of all positions of the lightning arrester resistor disc under the lightning impulse can be reflected, stress estimation is achieved, and compared with a traditional model only calculating the overall temperature rise, the method has the advantage that the calculation efficiency is improved. According to the invention, the local temperature difference and the stress breaking probability of the resistor disc can be obtained, the aging state evaluation precision of the lightning arrester is improved, and the reliability of the lightning arrester and the operation of a power grid is improved.

An ophthalmic surgical system (100) includes an ophthalmic microscope (102) including a first camera (204a) and a second camera (204b). A controller (214) coupled to the first camera and the second camera receives a current pair of images including a current representations of a retina (300) of a patient; obtains a current three- dimensional representation of the retina from the current pair of images; determines deformation of the retina by evaluating the current three-dimensional representation relative to a reference representation of the retina; determines (414) stress on the retina according to the deformation; and outputs (418) guidance according to the stress. Stress may be determined using FEM and may use velocity and acceleration of the deformation. Guidance may include a graphical representation of the stress or a vector along which force should be exerted. Deformation may be detected (412) using a mesh (312) projected (406) onto the retina.

An ophthalmic surgical system includes an ophthalmic microscope including a first camera and a second camera. A controller coupled to the first camera and the second camera receives a current pair of images including a current representations of a retina of a patient; obtains a current three-dimensional representation of the retina from the current pair of images; determines deformation of the retina by evaluating the current three-dimensional representation relative to a reference representation of the retina; determines stress on the retina according to the deformation; and outputs guidance according to the stress. Stress may be determined using FEM and may use velocity and acceleration of the deformation. Guidance may include a graphical representation of the stress or a vector along which force should be exerted. Deformation may be detected using a mesh projected onto the retina.

The application discloses a wheel cylinder pressure estimation method of a vehicle body electronic stability control system and relates to the technical field of wheel cylinder pressure, which comprises the following steps: S1, a wheel cylinder pressure determination method, S2, wheel cylinder pressure estimation, S3, wheel cylinder pressure control and S4, PID control simulation verification. The application analyzes the wheel cylinder pressure reduction process: in order to avoid frequent opening and closing of the electromagnetic valve, a step-by-step pressure reduction method of pressure reduction-pressure maintenance-pressure reduction is adopted, when the wheel cylinder pressure and the target pressure difference is greater than the set threshold 1MPA, the electromagnetic valve is fully opened, the wheel cylinder starts to reduce pressure, until the wheel cylinder pressure and the target pressure difference is less than -1MPA, the electromagnetic valve is fully closed, the wheel cylinder enters the pressure maintenance state, when the wheel cylinder pressure and the target pressure difference reaches 1MPA again, the pressure reduction is continued, so that the purpose of following pressure reduction is achieved, and the pressure control is realized.

The present invention discloses a method for identifying fatigue crack growth in aircraft engine components based on machine vision, comprising the following steps: S1, acquiring a sequence of image blocks; S2, inputting each image block into a pseudo-stress estimation network to generate an image block pseudo-stress map; S3, inputting the image block and the image block pseudo-stress map into an image feature decoupling encoding module to output a fused feature vector; S4, inputting the fused feature vector into an improved Fox algorithm to generate a crack path guidance map and a direction vector field; S5, inputting the image block pseudo-stress map, the crack path guidance map, the direction vector field, and the fused feature vector into a crack mask generation module to output an image block crack mask; S6, splicing the image block crack masks according to the positions of the image blocks in the surface image to generate a complete crack structure map; S7, outputting crack growth results based on the complete crack structure map. The present invention integrates machine vision with an evolutionary path optimization method to achieve accurate identification of aircraft engine crack growth.

The invention discloses a method for calculating crack stress in a self-balancing repair process and a terminal. A first trend of crack expansion depth and width is obtained according to the insertion depth of an expansion assembly; obtaining a second trend according to the clamping assembly bearing data and the first trend; and the pressure borne by the crack part is calculated by combining the first trend, the second trend and pressure data applied by the expansion assembly. According to the method, the double dimensions of the expansion assembly insertion behavior and the clamping assembly stress feedback are introduced, more accurate modeling and stress estimation of the crack expansion behavior are achieved, a scientific basis is provided for follow-up glue injection amount control and anchoring point arrangement, and the repairing efficiency and the quality stability are improved.

This learning device 1X mainly has a classification means 14X and a learning means 17X. The classification means 14X classifies an observed feature quantity pertaining to a subject such that an index representing a correlation between the observed feature quantity and a correct stress value corresponding to the observed feature quantity becomes higher than before the classification. The learning means 17X trains a stress estimation model for estimating the relationship between observed feature quantity and stress value, for at least each class categorized by classification, on the basis of the observed feature quantity and the correct stress value.

According to one embodiment, a stress estimation apparatus includes a processing circuit and an acquirer. The processing circuit detects at least one of a work start time and a work end time for a user performing work during working hours. The processing circuit calculates, based on the detected result, a short-term stress value from a biometric waveform of the user acquired by the acquirer. The processing circuit calculates a baseline based on at least the working-hours short-term stress value. The processing circuit calculates a stress fluctuation range of the user by removing the baseline from the short-term stress value. The processing circuit estimates, based on the stress fluctuation range, a magnitude of long-term stress of the user.

A tire pressure estimation device and a tire pressure estimation method are provided that can estimate tire air pressure with high accuracy. [Solution] Tire pressure estimation device 1 is a tire pressure estimation device that estimates the air pressure of a vehicle tire. Tire pressure estimation device 1 includes extraction means 9 that extracts rotation-synchronous components from a wheel speed signal while the vehicle is running, frequency analysis means 10 that performs a predetermined frequency analysis on the output from the wheel speed signal after the rotation-synchronous components have been removed, and air pressure value acquisition means 11 that inputs vibration components in a predetermined frequency band obtained by the frequency analysis to relationship setting means 12 to acquire an air pressure value. Extraction means 9 calculates the rotation-synchronous components by averaging the wheel speed signal divided for each tire rotation.

The stress estimation device acquires the awakening degree of the subject and calculates the feature amount of the acquired awakening degree. The feature amount of the awakening degree is, for example, a ratio at which the temporal change of the awakening degree is within a predetermined range, information defining a histogram showing the distribution of the temporal change of the awakening degree, and the like. Then, the stress estimation device estimates the stress from the calculated feature amount using the stress model.

The application discloses an integrated flue template construction process abnormality detection method based on visual identification, which comprises the following steps: performing multi-person posture estimation and action recognition on a plurality of video streams of a construction site to generate a construction action event sequence; constructing a multi-person action interaction graph and detecting a process conflict by using a space-time graph attention network; processing a double-mode video stream to generate a temperature field time sequence of each supporting rod; extracting a dynamic thermal feature vector; fusing the action event sequence and the dynamic thermal feature space-time to generate an action-thermal combined time sequence feature; inputting the combined time sequence feature into a causal time sequence graph neural network to output a stress estimation value, a stress prediction trajectory and a causal contribution score; performing overload early warning analysis; and generating an integrated construction process abnormality detection report by fusing all the results.

This invention discloses a flow field perception and stress analysis system for a temporary support frame structure of a flood discharge channel, relating to the field of flood discharge engineering technology. It constructs a support structure layout model; collects velocity vector field and pressure field data in real time at key node locations to form time-series flow field information; constructs a local disturbance distribution function based on the flow field data and extracts vortex structure and shear strength variation indices; inputs the disturbance characteristics into the node stress estimation model to calculate the instantaneous stress response; judges abrupt force changes and identifies instability trends, establishes a local reinforcement calculation domain, refines the flow field and node response, and iteratively predicts the instability moment; finally, it outputs a time-varying force spectrum and risk distribution map. This invention realizes dynamic analysis and early warning of support structures under flood discharge conditions, improves the accuracy and response efficiency of structural safety assessment, and has good engineering application value.

In a system that monitors abnormalities in temperature control devices, the pressure abnormalities of the temperature control devices can be easily monitored, and the abnormality is notified before it leads to an emergency shutdown. [Solution] The abnormality monitoring system 100 includes: a pressure estimation unit 21a that estimates the pressure of the refrigerant based on the output values ​​of sensors 10a and 10b installed on the suction side and / or discharge side of the refrigerant R in the compressor CM, which correspond to the temperature of the refrigerant R; a reference pressure setting unit 21b that sets a reference pressure Ps from among the history of the estimated pressure P during a predetermined period T1 while a reference operation is being performed in the temperature control device TM; and an abnormality notification instruction unit 21c that executes an instruction to notify of an abnormality based on a comparison between the estimated pressure P and the preset reference pressure Ps while an operation to be monitored is being performed in the temperature control device TM.