13 results about "Ultrasonic doppler" patented technology

The invention provides a low-power-consumption cooperative sewer water body integrated monitoring method. The method comprises the following steps: carrying out model selection and deployment on sensing node hardware of an adaptive scene; a low-power-consumption internet of things network topology and power supply design; a time-sharing triggering acquisition strategy of the multi-modal data is carried out; node-level environment self-adaptive data calibration is carried out; node-level flow velocity-stink association anomaly recognition is carried out; carrying out network-level data fusion and validity verification; collaborative traceability, diffusion simulation and linkage control are carried out. According to the invention, the problems of data distortion, difficulty in source tracing of pollution sources, short equipment endurance and response lag caused by independent collection of flow and stink and environmental interference in traditional sewer monitoring are solved; the integrated effect of ultrasonic Doppler and electronic nose cooperative monitoring, environment self-adaption accurate calibration, odor source rapid positioning and diffusion simulation and low-power-consumption and long-endurance linkage control is achieved.

The invention relates to an open channel clogging real-time diagnosis system and method based on voiceprint and flow velocity fusion, and the method comprises the steps: a plurality of monitoring nodes are arranged along an open channel, the monitoring nodes are arranged at intervals according to the length of the channel, the terrain and the conditions of easy-to-deposit sections, and each monitoring node at least comprises an underwater sound sensor installed underwater on the side wall of the channel, the ultrasonic Doppler flow velocity sensor is installed at the position about 0.3 m underwater on the side wall of the channel, and the pressure type water level gauge is installed at the bottom of the channel and used for measuring the water level. According to the invention, various sensors are used for continuously monitoring the operation state of the open channel for 7 * 24 hours, and a multi-source information fusion acquisition mode is adopted, so that abnormal signals can be detected at the initial stage of clogging, intelligent diagnosis can be carried out, the clogging position can be positioned, early warning can be given out, and the inspection is more timely than manual inspection. And timely early warning and rapid positioning are helpful for the management department to take measures as soon as possible, so that small problems are prevented from being evolved into large dangerous cases, and safe operation of the channel is guaranteed.

The invention discloses a multifunctional detection device for cerebral apoplexy screening, which comprises a main body, an opening and closing door, a lifting rod and an ultrasonic probe, the front end of the main body is rotatably provided with the opening and closing door, the right side of the main body is fixedly provided with the lifting rod, and an ultrasonic Doppler blood flow detector is placed in the middle of the interior of the main body. An electronic sphygmomanometer and a blood glucose tester are arranged at the left end and the right end in the main body respectively, and a weighing machine is arranged in the upper end of the main body. According to the multifunctional detection device for cerebral apoplexy screening, the blood flow speed in the body of a patient can be detected through the ultrasonic Doppler blood flow detector, then the blood glucose of the patient is detected through the blood glucose tester, the detection result can be transmitted to the interior of the ultrasonic Doppler blood flow detector, and self-evaluation of high-risk factors is completed; the detection content of specific markers in the body of a patient is detected through the medical consumables, and the use convenience of the device is improved through mutual cooperation of the devices.

The invention relates to the technical field of petroleum drilling safety monitoring, in particular to an ultrasonic Doppler gas cut monitoring and evaluating method and a simple simulation experiment system. Comprising the following steps: S1, signal acquisition and gas content calibration; s2, performing interval division; s3, performing interval statistics; s4, establishing a quantitative mapping model; and S5, performing real-time monitoring and model optimization. According to the method, the random interference can be effectively suppressed, the focus point is transferred to the overall trend of a data set from a discrete single data point through interval division-statistical analysis, the adverse effects caused by bubble random motion and measurement noise are remarkably reduced, and the core problem of large discreteness of frequency shift signals is solved; quantitative monitoring can be realized, a quantitative evaluation relation model between Doppler frequency shift and gas content is successfully established, and the crossing from qualitative identification to quantitative evaluation is realized; the overall trend is extracted through the statistical thought, the anti-interference capacity is high, rapid online detection and evaluation of the gas content can be achieved, and technical support is provided for early warning of gas cut.

1. Name of the product in this design: Ultrasonic Doppler Fetal Monitor (FS Series). 2. Purpose of this design: For continuous monitoring of fetal heart rate, fetal movement and maternal uterine contraction pressure during the perinatal period. 3. The key design features of this product are its overall shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application discloses a kind of based on flexible ultrasonic Doppler and AI blood vessel tracking blood flow noninvasive monitoring device, belong to intelligent medical monitoring field.The device includes: flexible ultrasonic Doppler sensor, for attaching body surface signal acquisition;Processing unit and the artificial intelligence analysis module in it, for automatic identification tracking blood vessel and calculate its cross-sectional area and blood flow velocity, and then obtain real-time blood flow;And optional pressure adaptive stabilization module, for dynamic adjustment of adhering pressure according to signal quality to maintain monitoring stability.The application realizes the continuous, noninvasive, automatic monitoring of arterial blood flow, with the advantages of high precision, strong anti-interference, convenient for clinical integration, suitable for perioperative period and critical patient hemodynamic management.

This application provides a continuous ultrasonic Doppler velocimetry method, terminal device, and storage medium. The velocimetry method includes the following steps: S100, generating a first signal and a second signal, wherein the first signal is a triangular wave digital signal and the second signal is a sine wave digital signal; S200, converting the first signal into an excitation signal; S300, receiving the excitation signal and transmitting ultrasonic waves to the object under test; S400, receiving the ultrasonic echo signal from the object under test; S500, inputting the echo signal and the second signal into a first function to obtain a mixed signal; S600, performing a Fourier transform on the mixed signal to obtain Doppler frequency shift parameters; S700, inputting the Doppler frequency shift parameters into a second function to obtain the running speed of the object under test. Steps S100, S600, and S700 are all completed by the same system chip. This solution uses the same system chip to complete the generation of triangular wave digital signals and sine wave digital signals and speed calculation, which greatly improves the computational efficiency.

The invention relates to the technical field of water-based ink dispersion control, in particular to a dynamic temperature field collaborative optimization method for a water-based ink dispersion process, which comprises the following steps: synchronously acquiring temperature field distribution data and shear field distribution data through a distributed fiber grating temperature sensor and an ultrasonic Doppler velocimeter; and constructing multi-dimensional field data with a unified timestamp and space coordinates. Calculating temperature field intensity gradient data and shear field intensity gradient data based on the multi-dimensional field data, analyzing and identifying a mismatch region through a field cooperation angle, establishing a dynamic coupling relation model in combination with a deep neural network, generating field cooperation optimization parameters, and performing field cooperation optimization. And forming a regional temperature compensation strategy by adopting rule engine analysis, a multi-objective optimization algorithm and a feasibility verification mechanism, and converting the regional temperature compensation strategy into a control instruction sequence of the multi-channel temperature control system. Through real-time monitoring and fuzzy PID dynamic adjustment, continuous cooperation of a temperature field and a shear field is realized, and the dispersion efficiency and the product stability are improved.

This invention belongs to the field of blood flow detection technology, specifically relating to a detection and analysis method and system for an ultrasonic Doppler blood flow detector. By configuring a pressure sensor and a coupling agent detection terminal on the ultrasonic probe, the contact pressure between the probe and the skin and the coupling agent thickness can be collected in real time during blood flow detection. Simultaneously, image quality parameters are extracted from the blood flow ultrasonic images, and the contact pressure of the probe and the amount of coupling agent used are dynamically adjusted based on these parameters, achieving precise control of the blood flow detection process and ensuring the stability and high quality of the ultrasonic images. In addition, by precisely controlling the probe contact pressure and coupling agent thickness, the effective blood flow velocity is extracted from the blood flow ultrasonic images and combined with physiological indicators to identify abnormal blood flow velocities. This operation not only ensures the quality of the ultrasonic images but also allows for further accuracy evaluation of the blood flow detection results, enabling timely detection and identification of abnormalities.

This invention relates to the field of medical device technology and discloses a multi-dimensional biomimetic experimental device for whole-body vascular interventional shunt stents, comprising a mobile platform and a multi-dimensional detection matrix: a stent plate is fixedly connected to one side of the mobile platform, a stent rod is fixedly connected to the outside of the stent plate, a main trunk segment is provided inside the stent rod, and multiple lateral trunk segments are provided outside the main trunk segment; a reservoir, a peristaltic pump, and a pressure control valve are fixedly connected to the outside of the stent plate; a disassembly component one is provided at one end of the main trunk segment, and a disassembly component two is provided at one end of each lateral trunk segment or branch segment; the multi-dimensional detection matrix includes a miniature pressure sensor, an ultrasonic Doppler blood flow velocity measurement module, and a particle image velocity measurement system. Through the main trunk segment, lateral trunk segment, and branch segment, combined with the rapid sealing and snapping of modular disassembly components one and two, high-precision biomimetic simulation of the vascular bed in different parts of the human body is achieved.

The invention discloses a mass flow calibration method and system, and the method comprises the steps: installing and connecting a Coriolis mass flow meter to a calibration rack pipeline, and axially installing an intelligent sensor comprising an ultrasonic Doppler array at the upstream side; starting a liquid supply pump to pump calibration fluid, and controlling an ultrasonic Doppler array to perform section scanning on the fluid to obtain dynamic flow velocity profile time sequence data; inputting the dynamic flow velocity profile time series data into a pre-trained fluid relaxation state prediction machine learning model, and outputting a steady state arrival time point by the fluid relaxation state prediction machine learning model; and triggering a calibration sampling instruction at the steady-state arrival time point, obtaining a sampling mass flow value, and comparing the sampling mass flow value with a reference standard flow value to complete calibration. The problem that systematic errors exist in calibration sampling due to flow pattern unsteady-state change of high-viscosity fluid in the shear thinning recovery period is solved.

This invention discloses a method, apparatus, and electronic device for cleaning foreign objects from an ultrasonic Doppler flowmeter. The method includes: acquiring the echo signal from an ultrasonic transducer to obtain a first characteristic parameter and multiple second characteristic parameters reflecting the degree of foreign object adhesion; comparing the first characteristic parameter with a preset multi-level threshold range to determine the threshold level corresponding to the first characteristic parameter; and, based on the threshold level corresponding to the first characteristic parameter, and if at least one second characteristic parameter is within the threshold range corresponding to that threshold level, then the cleaning mechanism performs a corresponding cleaning action. This invention determines the degree of foreign object adhesion through multi-level threshold grading and generates matching cleaning instructions based on the threshold levels, achieving graded automatic cleaning of foreign objects. This avoids blind cleaning or insufficient cleaning, improves cleaning efficiency, and reduces energy consumption, making it particularly suitable for flow monitoring in unattended scenarios such as drainage pipe networks.

The invention relates to the technical field of biomedical sensing, and particularly discloses a carotid artery health monitoring method and system based on multi-modal sensing fusion, and the method comprises the steps: S1, data collection; s2, quality evaluation and adaptive acquisition; s3, preprocessing and feature fusion; s4, establishing a personalized dynamic baseline; s5, performing time sequence prediction and multi-level risk judgment; s6, an intelligent intervention and dynamic linkage module; according to the method, ultrasonic Doppler, photoplethysmography (PPG), body surface bioimpedance, neck pressure time sequence and other multi-mode signals are synchronously collected and fused, and the method can correct noise and disturbance in a single mode by utilizing complementary information among the modes; therefore, the accuracy and the time sequence robustness of hemodynamic parameter identification are remarkably improved. A multi-source cross validation mechanism can reduce the influence on overall judgment when single sensing fails or is abnormal, and the reliability of the overall system is improved.