658 results about "Pressure data" patented technology

The embodiment of the invention provides a breathing machine inspiration detection method and device and a computer readable storage medium, and the method comprises the steps: collecting first pressure data and first flow data in a current breathing period, and calculating a target flow baseline according to the first pressure data, the first flow data and a preset fitting formula; calculating a virtual traffic baseline according to the target traffic baseline and the first traffic data; if it is judged that the inspiration triggering state is not reached or the virtual inspiration flow change rate in the inspiration triggering state is smaller than a preset flow change threshold value, second pressure data and second flow data of the next respiratory cycle are continuously collected, and the virtual inspiration flow change rate is calculated; and judging that inspiration is detected until the detected virtual inspiration flow change rate is greater than or equal to the preset flow change threshold value. According to the invention, the phenomena of inspiration detection delay, group delay and the like can be avoided, the difference between detected inspiration and actual inspiration is reduced, and the sensitivity of inspiration detection is improved.

The present disclosure provides a workpiece clamping force monitoring system for a clamp, belonging to the technical field of tooling clamps. The workpiece clamping force monitoring system for the clamp comprises a plurality of sensor modules for monitoring the pressure information of the workpiece when the clamp clamps the workpiece in real time and transmitting the pressure information to a data processing module. The data processing module can transmit the processed pressure data to a central control module through a first communication module. The central control module can transmit the data information to a display module to display the pressure fluctuation curve, and can also intelligently analyze the plurality of pressure information to determine a target adjustment strategy. When the pressure information is abnormal, the first alarm module is triggered, an alarm is given and emergency shutdown measures are taken. The workpiece clamping force monitoring system for the clamp provided by the present disclosure can improve the control accuracy, accuracy and anti-interference of the clamping force of the clamp, and based on the abnormal pressure information, an alarm is given to avoid causing greater losses, ensure the stability of the machining process and improve the production efficiency.

The application belongs to the technical field of shield construction, and discloses a method and system for early warning of settlement trend of shield construction crossing a dam; the method comprises the following steps: collecting silt layer geological data before the shield crosses the dam, and analyzing to obtain the distribution range and sensitivity level of the silt layer; collecting the tunneling parameters in real time in units of each ring when the shield machine crosses the silt layer section, and analyzing to obtain the disturbance index; collecting the real-time tunneling speed and the cutter head rotating speed, and recording the shutdown parameters when the complete shutdown condition is met; collecting the slurry tank pressure and the shutdown duration during shutdown, and calculating the pressure data; for the current sensitivity level, the preset hierarchical early warning rule is adopted, the current disturbance index basic threshold is corrected to obtain the corresponding dynamic threshold, the pressure data is compared with the dynamic threshold, and the early warning is issued according to the preset trigger logic classification; and the application improves the safety of shield construction crossing the dam.

The application relates to the technical field of medical intelligent diagnosis, and provides a multi-modal ultrasonic scanning method, device and related system. The method collects depth image data of a skin area of a user through a camera module, controls a mechanical arm to adjust an ultrasonic probe to a first target pose according to scanning intention information of the user and the depth image data, wherein the ultrasonic probe and a force feedback sensor are integrated at the tail end of the mechanical arm, calculates an ultrasonic quality evaluation parameter according to first ultrasonic image data of the ultrasonic probe and first contact pressure data of the force feedback sensor, obtains a first ultrasonic quality evaluation parameter, adjusts the ultrasonic probe to a second target pose through the mechanical arm according to the first ultrasonic quality evaluation parameter, and scans the user according to the depth image data, second ultrasonic image data of the ultrasonic probe and second contact pressure data of the force feedback sensor to obtain a scanning result. In this way, the stability and safety of the ultrasonic probe during scanning are improved.

The application discloses a compressor internal flow field synchronous measurement system based on PIV and pressure sensing, relates to the technical field of compressor experimental aerodynamics measurement, and is suitable for accurate measurement of flow field parameters in a diffuser modeling test of a compressor. The system comprises a dynamic pressure sensor array, a signal conditioning module, a multichannel dynamic pressure acquisition card, a double-pulse laser, a high-speed CMOS camera, an FPGA synchronous controller, a PIV post-processing server and a multi-source data fusion workstation. The FPGA synchronous controller is used as the only time sequence reference of the double-pulse laser, the high-speed CMOS camera and the multichannel dynamic pressure acquisition card, the traditional software trigger is replaced by a hardware trigger, and system delay jitter is eliminated. The timestamp marking pulse and the first pulse trigger signal are output simultaneously, the pressure data stream obtains a sampling point index corresponding to the laser emission moment directly, and the time synchronization accuracy of the velocity field and the pressure field reaches the nanosecond level.

An apparatus for assessing the fine motor skills of a target user includes: a pressure sensing module configured to capture pressure data associated with pressure exerted by small muscles during the performance of the fine motor skill by the target user; a motion tracking module configured to capture motion data associated with movement of the small muscles during the performance of the fine motor skill by the target user; an eye-tracking module configured to capture gaze data associated with the gaze direction of the target user during the performance of the fine motor skill; and a performance evaluation module configured to determine, in real time, one or more metrics associated with the accuracy of the target user's fine motor skills based on the captured motion data, the captured gaze data, and the captured pressure data.

The present application relates to geothermal resource development and evaluation technical field, especially to the balanced water and heat type geothermal resource dynamic evaluation method, including: collecting the flow, temperature and pressure data of the produced fluid and the recharging fluid, and carrying out time synchronization, outlier elimination and time series reconstruction processing on the data to form a continuous operation data set; jointly analyzing the time series change of the operation data set, extracting flow response characteristic quantity and heat exchange response characteristic quantity, and dividing the underground heat reservoir into flow and heat storage units according to the similarity of the characteristic quantity; on the scale of the flow and heat storage unit, respectively establishing a flow structure model and a heat exchange structure model, and coupling them, through a unified state variable to describe the corresponding relationship between the fluid migration behavior and the energy transfer behavior, a flow and heat storage dynamic evaluation model is constructed; based on the model, the change of the state variable of each flow and heat storage unit with time during the recharging operation process is calculated, and the dynamic evaluation data is obtained.

The application discloses an air dynamic test platform vacuum equipment leakage fault diagnosis method and system, aiming at solving the problems that the existing method is difficult to adapt to the complex time-varying characteristics of mixed gas, data is sparse, and lack of interpretability. The method first collects time series pressure data through a conventional pressure sensor, uses the ideal gas state equation as a physical mechanism model, deduces a leakage rate calculation equation, and extracts key characteristics of instantaneous leakage rate and cumulative leakage rate; then a BP neural network is constructed as a data-driven model, taking the leakage rate as input, and outputting normal and abnormal judgments after training with historical data. The application innovatively integrates physical mechanism and machine learning, without the need for special detection equipment, ensuring the interpretability of the diagnosis results, improving the diagnosis accuracy and reliability under small sample and variable working conditions, and realizing high-precision, low-cost air tightness online monitoring and early warning.

This invention provides an elevator status detection method, device, electronic device, and storage medium. The method includes: determining target elevator operating parameter information from the start to the end of operation, including motion characteristic data and air pressure data collected along the elevator's vertical direction during operation; determining the predicted height of the target elevator at the end of operation using a target Kalman filter model based on the target elevator operating parameter information; determining the floor where the target elevator is located at the end of operation based on the predicted height; and correcting the target Kalman filter model for accumulated errors and environmental noise introduced during the elevator's operation when the target elevator is stationary at each floor after operation. This technical solution can predict the height of the target elevator at the end of operation based on a Kalman filter model, thereby achieving accurate floor location.

The present application belongs to the technical field of intelligent control, and particularly relates to a kind of material quantity compensation conveying control method and device of pneumatic conveying system.The method comprises: receiving the starting instruction of material quantity compensation conveying control method, initializing the parameters of pneumatic conveying system;Based on the fault duration and historical operation data, the accumulated cumulative material quantity accumulated in the hopper during the fault is calculated;Compare the cumulative material quantity with the preset material quantity threshold, and select the conveying scheduling strategy according to the comparison result;Based on the conveying scheduling strategy, and combined with system pressure data, the current optimal pipeline combination is dynamically screened out through intelligent scheduling algorithm;Control the pneumatic conveying system to execute material quantity compensation conveying task according to the optimal pipeline combination;In the conveying process, real-time acquisition of conveying data is carried out, and the conveying data is fed back to the intelligent scheduling algorithm to dynamically optimize the classification of pipeline combination and update the operation parameters associated with each pipeline combination, so as to improve the stability, continuity and efficiency of pneumatic conveying system.

The present application relates to salt cavern gas storage monitoring technical field, especially in based on optical fiber sensing's salt cavern gas storage real time monitoring early warning method and system, the method includes the following steps: the three-dimensional model of salt cavern gas storage is built, and then the monitoring node is determined; according to the layout of monitoring node along the cavity inner wall of salt cavern gas storage lays distributed sensing optical fiber, to obtain temperature data and strain data in real time;According to three-dimensional model, temperature data and strain data, based on finite element method inversion salt cavern gas storage pressure field, obtains the pressure data in the salt cavern; DTS-Raman compound optical fiber is vertically hung in the salt cavern gas storage to obtain gas halogen interface height data;The salt cavern gas storage environment monitoring early warning system is built, and when meeting the early warning condition, early warning is sent out.The present application can realize long distance on-line monitoring and early warning to salt cavern gas storage, and can carry out the multi-parameter fusion analysis of salt cavern gas storage, improve the accuracy of monitoring and early warning, and can reduce the cost of monitoring and early warning.

This invention belongs to the field of data analysis technology and provides a data-based intelligent monitoring method and system for the safety of pit construction. The method includes acquiring horizontal displacement data, support pile stress data, lateral earth pressure data, pore water pressure data, and pit perimeter vibration acceleration data of the supported pit; determining a displacement risk coefficient based on the horizontal displacement data; determining a stress overload coefficient based on the support pile stress data; determining an earth pressure fluctuation coefficient based on the lateral earth pressure data; determining a water pressure change coefficient based on the pore water pressure data; determining a vibration damage coefficient based on the pit perimeter vibration acceleration data; and determining a comprehensive impact index. By collecting data directly related to the ongoing pit construction, the method can accurately capture the disturbance effects of vibration, stress transmission caused by soil excavation, and groundwater level changes caused by precipitation on the completed pit.

The application provides a gait intelligent monitoring method, system, device, medium and program product. The method comprises the following steps: based on multi-pose positioning, synchronously collecting pressure data and center of gravity dynamic data of different regions of the sole of a target object; performing denoising processing on the synchronously collected pressure data and center of gravity dynamic data; performing multi-dimensional data fusion on the denoised pressure data and center of gravity dynamic data based on gait cycle, spatial distribution and dynamic characteristics, and generating comprehensive gait data containing sole pressure distribution parameters and center of gravity dynamic balance parameters through fusion; transmitting the obtained comprehensive gait data to an evaluation terminal; selecting an evaluation model adapted to the multi-pose positioning based on the evaluation terminal, evaluating and identifying the comprehensive gait data through the evaluation model, and obtaining a gait recognition result. The embodiment of the application is based on multi-pose standardized positioning, and is adapted to evaluation of different evaluation scenes. The pressure data and gravity dynamic data are fused to perform gait monitoring, and the monitoring accuracy is improved.

The present application relates to the technical field of electric digital data processing, in particular to an abnormal information monitoring method and system of a battery shell stamping device, comprising: obtaining pressure data and vibration data in a stamping process of each time node in a set neighborhood range of the battery shell stamping device centered on a current time node, to construct a pressure data sequence and a vibration data sequence; using an improved machine learning model to output the running state of the battery shell stamping device at the next time node, and monitoring the battery shell stamping device based on the running state. The present application solves the problems of insufficient model generalization ability and high abnormal misjudgment rate.

This invention relates to the field of engineering geological reinforcement technology, specifically disclosing an intelligent grouting reinforcement device and grouting process monitoring method for red bed engineering. The device includes a grouting pump, a porous grouting pipe, a pressure sensor, and an intelligent control module. The porous grouting pipe is made of corrosion-resistant material, with spirally staggered grouting holes on its sidewall. Filters are installed inside / at the holes. One end of the pipe is a closed end with a guide cone, and the other end is a pump connection end. The pressure sensor is embedded in the pipe wall, collecting pressure data in real time and transmitting it wirelessly. After receiving the data, the intelligent control module adjusts the grouting pump parameters through data processing, execution control, and alarm units, triggering an alarm in case of abnormalities. The monitoring method continuously collects data through the pressure sensor, and the intelligent control module determines thresholds and dynamically adjusts the system. This invention achieves full-process intelligent grouting, improving the stability and safety of red bed engineering and providing data reference for subsequent similar projects.

The application relates to the technical field of medical treatment, in particular to a port-related complication early warning system and method, wherein the system comprises a collection device and a computer device; the collection device is used for collecting at least one of thermal imaging data, pressure data, ultrasonic image data and visible light image data of a region where a user's port is located, and obtaining clinical data of the user; the computer device communicates with the collection device, generates modality data according to the data collected by the collection device, calls a pre-trained prediction model, inputs the modality data into the prediction model, outputs a comprehensive risk level of the user existing in a complication through the prediction model, and executes a complication early warning action according to the risk level, so that the monitoring and early warning of the port-related complication are realized. Therefore, the problem that related technologies lack monitoring of early micro changes of the port and lead to delayed discovery of the port-related complication is solved.

The utility model discloses a kind of plate shape detection devices, it is related to plate shape detection technical field.The device includes: base roll and flexible pressure-sensitive lining;The flexible pressure-sensitive lining is attached to the outer surface of the base roll, for real-time acquisition foil pressure distribution data;It can be convenient to collect the pressure data of different position regions of the foil needle to be detected to plate shape detection device.The scheme of the utility model, foil can be quickly and accurately detected to plate shape, provide help for ensuring the quality and performance of foil.

The utility model relates to propeller performance test technical field, and disclose high pressure test tank structure, include: tank body is used for containing the propeller of waiting for testing and provides high pressure water environment, detachable sealing device is used for sealing tank body and allows repeatedly to open and close to change different kinds of propeller and carry out test. The high pressure test tank structure, through the combination structure of detachable sealing device and matching sealing cover, realizes the quick opening and closing and reliable sealing of tank body, supports the efficient replacement of multitype propeller, and the test flexibility promotes, satisfies the sealing demand of high pressure environment simultaneously, adopts the combination of encircling type cooling pipeline and double -channel pressure monitoring (just -in -place pressure gauge + pressure remote meter), cooperates automatic exhaust and temperature sensing module, can realize temperature -controlled precision and pressure data double redundancy monitoring, ensures the accuracy of test data under extreme working condition, and the continuous operation life of equipment is prolonged.

This application provides a method, system, and device for ventilator mask recognition based on transfer learning. The method collects time-series data of respiratory flow and pressure using flow and pressure sensors inside a home ventilator; a data preprocessing module cleans the time-series data to obtain high-quality respiratory flow and pressure time-series data; a data segmentation module divides the preprocessed time-series data into discrete flow and pressure data segments; a transfer learning module transfers the parameters of the source model to the target model, and the target model is trained and fine-tuned using the segmented discrete flow and pressure data segments to obtain the final mask type recognition model. The final mask type recognition model can accurately predict the ventilator mask type based on respiratory flow and pressure signals. This application utilizes transfer learning to improve the robustness of the model to mask type recognition across individuals and devices.

A method for operating a blood pressure measuring apparatus includes the steps of: applying a measuring apparatus, containing a pressure unit and / or a pressure measuring unit, to a measurement point on the body; initialising the measuring apparatus by carrying out a reference measurement and / or by carrying out defined position changes to the measurement point and determining person-specific initialisation parameters; storing the person-specific initialisation parameters in a memory and control unit; carrying out at least one blood pressure measurement by applying a counter pressure to the pressure unit in a sub-systolic low-pressure range; maintaining the applied counter pressure within a plateau phase having a predefined duration and recording blood pressure time curve data during the predefined duration; converting the recorded blood pressure time curve data over the initialisation parameters into arterial blood pressure data over time.

This application provides a health data processing method and terminal based on an ear-worn wearable device, belonging to the field of health data technology. The method collects ear acupoint health data and the carbon monoxide concentration in the user's exhaled breath. Based on the health data, it determines psychological stress data. When a psychological stress parameter exceeding a psychological stress threshold is found, target control information corresponding to the psychological stress data is determined. When the number of stimulators controlled by the target control information exceeds a certain threshold, a reminder message is sent to the user, and ear acupoint stimulation is performed based on the target control information until the detected psychological stress data returns to normal. This solution acquires and analyzes various health data from the user's ear, provides visual analysis results to the user, and simultaneously uses sensors to generate pressure or electrical stimulation of ear acupoints based on the analysis results, cycling until the data returns to normal, thus providing beneficial regulation through health warnings and feedback stimulation.

This invention discloses an automotive seat system and an automotive product. The automotive seat system includes a seat, multiple pressure sensing units, and a control unit. The pressure sensing units are distributed across the seat cushion and backrest components. The pressure sensing units detect pressure data, and the control unit receives the pressure data detected by each unit and performs a health assessment based on the pressure data. This invention allows for health assessment of occupants simply by sitting naturally in the seat, without relying on their self-awareness. This enables health monitoring of occupants while seated in a car, facilitating the monitoring and prevention of health risks for drivers and passengers. Since no health monitoring equipment is required, it avoids affecting the posture of occupants, thus ensuring driving safety. This invention has wide applications in the automotive technology field.

This invention relates to the field of pipeline inspection technology, specifically to a pipeline leak location method and system based on pressure detection. After inserting a positioning block into the first end of the pipeline to be tested, the A-end interface is connected to the first end of the pipeline, and the B-end interface is connected to the second end of the pipeline. Then, the opening and closing of a combination of first, second, third, and fourth valves is controlled to purge air from the pipeline. By controlling the opening and closing of these valves, the positioning block can be moved back and forth within the pipeline. Furthermore, by controlling the duration of the opening and closing of these valves, the distance the positioning block moves within the pipeline can be controlled. Combined with pressure data collected by a first pressure sensor and a second pressure sensor, the leak point in the pipeline can be accurately located. This process eliminates reliance on manual experience to determine the leak location, making it more efficient and accurate.

This invention discloses a verification method for the oil circuit and spray design of an oil-cooled motor for new energy vehicles, comprising: installing the oil-cooled motor on a test bench and connecting the external circulation oil supply system; arranging flow and pressure sensors at key nodes of the oil circuit; setting up cameras and light sources around the motor to perform optical imaging of the oil spray and coverage; constructing a test condition matrix and conducting tests according to a preset procedure; comparing the collected images, flow, and pressure data with a simulation model to achieve model calibration; simulating vehicle operating conditions at different slopes and tilt angles by rotating the test bench; and writing the test data into a structured database for subsequent retrieval and reuse. This invention enables visualized verification of the oil circuit and spray design of the oil-cooled motor. This invention also discloses a test device.

The application discloses an online detection method and system for electric control explosion-proof redundant pressure sensing of an industrial robot, at least two pressure sensing cores adopting different pressure sensing principles are arranged in each of N positive pressure cavities of the industrial robot, and internal pressure data is synchronously collected; cross checking and self-diagnosis are performed on the pressure data collected by each sensing core in each cavity, when a measurement deviation in the same cavity exceeds a preset threshold, according to pressure change rate statistical characteristics of each sensing core in a sliding window and correlation characteristics between the sensing cores, in combination with current motion state parameters of the robot, performance degradation of the sensing cores is distinguished from real physical disturbance, the sensing cores with performance degradation are marked as untrusted states, and a trusted pressure value is output; a dynamic pressure safety threshold is calculated in real time according to the current running state parameters of the robot, the trusted pressure value is compared with the dynamic pressure safety threshold, the pressure state of each cavity is judged, and a safety protection action is performed.