172 results about "Measurement site" patented technology

The invention discloses a chlorophyll calculation method based on a double-branch multi-scale fusion network model, which belongs to the technical field of chlorophyll calculation, is used for calculating a chlorophyll a concentration value, and comprises the following steps: taking the chlorophyll a concentration value of a measurement site as a label of a water body characteristic sequence data set, dividing the data set into a training set and a verification set, inputting the training set into the double-branch multi-scale fusion network model to obtain a trained double-branch multi-scale fusion network model; inputting the verification set into the double-branch multi-scale fusion network model to obtain a verified double-branch multi-scale fusion network model; and taking the neighborhood spectral feature tensor and the neighborhood inherent optical feature tensor as the input of the verified double-branch multi-scale fusion network model to obtain the chlorophyll a concentration value of the pixel at the corresponding position. According to the method, the calculation result of the chlorophyll a with relatively high precision is obtained through neural network processing, and the complex relationship among the concentration change of the chlorophyll a in the water body, the spectrum and other optical parameters can be captured.

The invention discloses a semiconductor product measurement method and device, a storage medium and electronic equipment, and relates to the technical field of semiconductor equipment, and the method comprises the steps: obtaining a processing strategy adopted by a target wafer batch at a process site if it is monitored that the target wafer batch enters a measurement site, the processing strategy comprises a combination of one or more seed devices and formula groups; judging whether an invalid measurement combination exists in the processing strategy or not; and if the invalid measurement combination exists, carrying out wafer drawing measurement on the target wafer batch according to an intelligent wafer drawing rule, the intelligent wafer extraction rule comprises preferentially extracting the wafers processed by adopting the invalid measurement combination, preferentially extracting the wafers processed by adopting the invalid measurement combination with shorter measurement validity period, and extracting the invalid measurement combination with the maximum coverage of the extracted wafers. According to the wafer drawing measurement method and device, wafer drawing measurement with higher efficiency and higher coverage can be realized, and the monitoring and positioning accuracy and efficiency of process abnormality in the wafer processing process are improved.

The present invention belongs to the field of dimension measurement technology, and specifically relates to a method, system, device, and medium for evaluating the uncertainty of a large-scale multilateral coordinate measurement system. The method inputs the acquired target point coordinates into an error transfer model to obtain three coordinate uncertainty components corresponding to the coordinate values. This uncertainty coefficient is then calculated based on the uncertainty introduced by the offset of the reflector's optical center, and the uncertainty evaluation is performed. The present invention, based on the fundamental principles of the multilateral coordinate measurement system, simplifies the system coordinate system to reduce parameters, thereby reducing the amount of calculations. The method also provides a specific mathematical formula, which facilitates rapid evaluation at the measurement site and is easy for metrologists to learn and apply.

The invention discloses a rapid modeling method based on topological mapping, and the method comprises the following steps: setting a plurality of measurement sites at an equipment site, and collecting the geometric position information and point cloud data of equipment through a three-dimensional laser scanner; preprocessing the collected point cloud data, including noise point removal, point cloud segmentation, equipment point cloud clustering and data simplification; based on the point cloud data, the topological relation of the devices is automatically identified, and a topological relation graph between the devices is generated; mapping the topological relation graph into a three-dimensional digital model of the equipment, and automatically generating a three-dimensional model of the equipment by using template matching and component matching technologies; and according to the identified topological relation graph, integrating the equipment model and the connection relation thereof to form a complete digital model of the transformer substation or the equipment system. Through automatic processing of point cloud data, intelligent identification of a topological relation and a component matching technology, limitation of traditional modeling is broken through, and rapid, accurate and automatic equipment modeling is achieved.

The invention discloses an unmanned aerial vehicle flight pose calibration method and device based on multi-sensor fusion, and belongs to the field of dynamic pose measurement. Comprising a plurality of integrated dynamic pose measurement base stations which are arranged around a measurement site and cover all-region signals, and each base station comprises an infrared positioning module, an ultra-wideband reference module and the like; the miniaturized multi-sensor fusion target is installed on a motion carrier of an unmanned aerial vehicle and comprises an inertial navigation measurement unit, an infrared lamp bead, an ultra wide band master control module and the like. The upper computer is used for fusing the infrared positioning data, the ultra-wideband data and the inertial navigation measurement data; and when the positioning confidence of the infrared positioning data is lower than a threshold value, replacing original data with pseudo-infrared positioning data generated by a pseudo-infrared positioning model for fusion. According to the invention, the pose of the unmanned aerial vehicle can be monitored in real time, the problem of large-field-of-view, high-precision and full-angle dynamic pose measurement is solved, various complex dynamic scenes are fully covered, and the accuracy and reliability of dynamic pose measurement are effectively improved.

The invention discloses a riverway bank collapse early warning method based on soil body surface displacement acceleration trend analysis, and relates to the technical field of riverway bank collapse early warning. The method comprises the following steps: laying GNSS measurement site positions according to a potential risk area of river beach collapse and a transverse distance and a longitudinal distance of a collapse pit in a region where the GNSS measurement site positions are located; carrying out real-time traceability filtering and denoising calculation on the continuously online monitored soil body surface displacement data based on a Butterworth low-pass filter; carrying out real-time acceleration trend discrimination calculation on the filtered soil body surface displacement data, and carrying out risk grading early warning discrimination on bank collapse risk threshold values of different bank collapse risk grades by utilizing calculated linear acceleration trend intensity; and carrying out riverway bank collapse risk site survey and result verification according to a risk grading early warning judgment result. The method has important engineering application value in the aspects of river channel safety monitoring, disaster early warning, emergency management and the like, and scientific support can be provided for river treatment, dike safety maintenance, intelligent water conservancy construction and the like.

The invention discloses a satellite precipitation two-stage error correction method based on an actual measurement site, and the method comprises the steps: extracting drainage basin DEM data, obtaining a mask file of a drainage basin, and extracting the satellite precipitation of the drainage basin; performing inverse distance weighted interpolation on the rainfall data of the actual measurement site to a corresponding resolution to obtain grid data of the actual measurement site; error correction data are obtained through a deep learning model or dynamic quantile mapping; calculating a residual error between the rainfall data after error correction and grid rainfall of the actual measurement site, and learning a nonlinear relationship between the rainfall data and the residual error by using a gradient lifting regression tree model; and adding the precipitation residual error of the nonlinear residual error correction model to the error-corrected satellite precipitation error to obtain a residual error-corrected precipitation product. According to the method, the satellite precipitation product is corrected based on the actual measurement site data, the high-precision precipitation product is obtained, point-to-surface conversion of the precipitation data can be realized, and data support is provided for input of a refined hydrological model.

The utility model discloses an anchor rod pull-out test device which comprises a supporting plate, a supporting rod, a pull rod, an annular base and a remote display terminal, the annular base adapts to a pit on the outer side of a ring sleeve on the top of a steel wire rope anchor rod and is fixed, and the annular base serves as an installation foundation of the supporting rod and the supporting plate structure. The supporting lugs laterally arranged on the annular base are used for limiting and supporting the supporting rods so as to enhance the supporting stability of the structure on the slope of the slope, the arranged supporting rods are in threaded connection with the supporting plate, the height of the portions, extending out of the supporting plate, of the supporting rods can be adjusted so as to adapt to measurement sites of different plane heights and limited supporting faces, and in the adjusting process, the supporting rods can be conveniently adjusted. The laser distance measuring sensor arranged at the bottom of the reference supporting plate towards the detection plate vertically connected to the pull rod detects the distance and displays the distance on the remote display terminal, so that the supporting plate is kept parallel to the detection plate, the pull rod is ensured to be perpendicular to the supporting plate and the hollow jack on the supporting plate, and the accuracy of a pull-out test result is ensured.

The invention discloses a multi-source soil water data fusion method based on a Bayesian neural network. Obtaining original data, and cleaning the original data to obtain a cleaned data set; on the basis of an inverse distance weighted interpolation method, calculating the value of data in the cleaning data set at the actual measurement site, and performing error correction on the multi-source soil water data by taking the soil water data of the actual measurement site as a reference to obtain a site data set; segmenting data points in the site data set to construct a training data set and a test data set; time characteristic data and geographical spatio-temporal data in the cleaned data set are used as input, a prior linear layer is embedded to generate a weight coefficient of multi-source soil aquatic product data, and a normal distribution prediction model is established for a weight generation process, network parameters and a prediction standard deviation based on a multilayer Bayesian method; and training parameters of the normal distribution prediction model, and judging the prediction precision of the normal distribution prediction model. According to the invention, reliability is ensured in a complex environment.

Comprises: an acquisition step for acquiring myopotential data by measuring myopotentials from muscles at a plurality of measurement sites on the face of a subject person when the subject person chews; a calculation step for calculating a plurality of feature quantities on the basis of unit data obtained by dividing the myopotential data by unit time; and a determination step for determining, on the basis of the feature amount, which of a tongue action, a cheek action, and an occlusal action is being performed by the subject person at the time when the unit data is acquired.

Disclosed is an aerosol-generating device comprising: a heating unit for heating an aerosol source; a first temperature sensor for measuring a temperature change at a measurement site associated with heating by the heating unit; the first AD conversion circuit is used for converting the output voltage of the first temperature sensor into digital data; the second temperature sensor is used for measuring the temperature change of the heating unit; and a second AD conversion circuit for converting an output voltage of the second temperature sensor into digital data, in which the first AD conversion circuit has a higher conversion accuracy than the second AD conversion circuit, and the second AD conversion circuit has a faster conversion speed than the first AD conversion circuit.

The present invention discloses a riverbank collapse early warning method based on the analysis of the acceleration trend of soil surface displacement, which relates to the technical field of riverbank collapse early warning. The method includes: arranging GNSS measurement site positions according to the potential risk areas of riverbank beach collapses and the transverse and longitudinal distances of collapse pits in the region; performing real-time traceability filtering and denoising calculations on the continuously online monitored soil surface displacement data based on a Butterworth low-pass filter; performing real-time acceleration trend discrimination calculations on the filtered soil surface displacement data, and using the calculated linear acceleration trend intensity to perform risk classification early warning discrimination on the collapse risk thresholds of different collapse risk levels; carrying out on-site surveys and result verification of riverbank collapse risks according to the results of the risk classification early warning discrimination. The method of the present invention has important engineering application values in aspects such as river safety monitoring, disaster early warning, and emergency management, and can provide scientific support for river regulation, dike safety maintenance, and the construction of smart water conservancy.

The present disclosure describes the derivation and measurement of a fractional oxygen saturation measurement. In one embodiment, a system includes an optical sensor and a processor. The optical sensor can emit light of multiple wavelengths directed at a measurement site of tissue of a patient, detect the light after attenuation by the tissue, and produce a signal representative of the detected light after attenuation. The processor can receive the signal representative of the detected light after attenuation and determine, using the signal, a fractional oxygen saturation measurement based on two or more different measures of fractional oxygen saturation.

This invention belongs to the field of biosensor technology, specifically a biosensor for real-time online monitoring of chemical components within plants. The biosensor of this invention mounts the working electrode and reference electrode within a liquid cavity between two substrates, preventing damage during electrode insertion and removal from the plant and improving sensor durability. It utilizes microfluidic technology to draw liquid from within the plant into the liquid cavity through microchannels, enabling real-time monitoring of chemical components within the plant. This ensures consistent calibration and testing environments, improving measurement accuracy. Employing multiple microfluidic channels eliminates the need for micron-level precise positioning of the working / reference electrodes at the measurement site within the plant, improving measurement efficiency and field applicability. This biosensor enables online monitoring of chemical components within living plants without causing inherent damage to the sample. The obtained data accurately and dynamically reflects the chemical composition information within the plant in real time. Its simple operation facilitates widespread application in plant cultivation.

The invention relates to the technical field of intelligent medical treatment, and provides a blood vessel function detection method based on multi-physiological signal fusion and a related product. The method comprises the following steps: respectively acquiring arterial pulse wave signals of a first measurement part and a second measurement part of a user through a first sensor and a second sensor configured on the wearable equipment; collecting motion state data of a user in the process of collecting the arterial pulse wave signal through an inertial measurement unit configured on the wearable device, and dynamically compensating the arterial pulse wave signal based on the motion state data; extracting a characteristic waveform through a signal processing model based on the dynamically compensated arterial pulse wave signal; according to the first characteristic waveform and the second characteristic waveform after dynamic compensation, calculating the characteristic time difference of the pulse wave conducted from the first measurement part to the second measurement part; and inputting the characteristic time difference, the static physiological parameter of the user and / or at least one waveform morphological parameter into a blood vessel hardness evaluation model to obtain a blood vessel hardness evaluation value.

A sphygmomanometer (1) of the present application includes a cuff for pressing a measurement site of a subject, and measures blood pressure by observing the pressure of the cuff. The sphygmomanometer (1) includes a feature acquisition unit (220) that acquires feature information about a pressure change pattern that increases in rate and rises over time from the start of pressurization, during pressurization of the cuff, for a subject to be authenticated, and an authentication unit (240) that compares the acquired feature information with registration feature information about a user registered in advance, and performs individual authentication of the subject.

An information processing device according to the present disclosure comprises a control unit. The control unit classifies, into at least one group, measurement site candidates at which data pertaining to communication characteristics is measured in a prescribed area. The control unit selects, from among candidates in correspondence to the group, measurement sites at which data is to be measured.

Provided is a biological information acquisition device or a biological information acquisition method for electrocardiogram information and blood flow-related information that can ensure the reproducibility of measurement values without degrading the accuracy of intestinal measurement regardless of the convenience or foreign matter at the measurement site. 【Solution means】A biological information acquisition device including a measurement unit, a processing unit that performs arithmetic processing on data obtained by measurement, and an output unit that outputs a signal of arithmetic data by the processing unit, wherein the measurement unit includes an optical sensor and a temperature sensor that are arranged in close proximity to each other in an installation area in a specific circumferential direction of a flexible shaft and detect detection values in contact with the inner wall of a body cavity, and a strip-shaped or hat-shaped wiping cover that contacts the inner wall of the body cavity and wipes is provided at a shaft head of the flexible shaft excluding the specific circumferential direction.

The present invention aims to provide a coupling frame for measuring the wavelength of a steady-state surface wave based on a vibrating geophone, comprising a vibrating geophone, a vibrating geophone bracket, and a truss. The vibrating geophone bracket comprises a central circular ring extending from two ends, each end being provided with a set of threaded rods and level adjustment nuts, an I-shaped component being provided below the threaded rods, a spring structure being provided on the threaded rods between the I-shaped component and the ends of the circular ring, a level being provided on the inner sides of the two level adjustment nuts, a hole being provided on the circular ring for fixing the vibrating geophone, and the vibrating geophone bracket being mounted on the truss. The present invention enables simpler installation of the vibrating geophone, easier level adjustment (based on the measurement site), more convenient adjustment of the horizontal distance, and clearer distance reading, thereby reducing the operational complexity of steady-state surface wave wavelength measurement and improving the accuracy of steady-state surface wave exploration results.

The utility model belongs to the technical field of fluxgates, and particularly relates to a fluxgate-based detection net structure, which comprises symmetrically arranged vertical rod structures, a plurality of cross rod structures are arranged between the vertical rod structures at equal intervals, a plurality of fluxgate sensors are arranged on the cross rod structures at equal intervals, the vertical rod structures comprise a plurality of first connecting rods, and the first connecting rods are connected with a plurality of second connecting rods. First circular plates are arranged at the two ends of the first connecting rod, and first connecting columns are fixedly connected to the sides, away from the first connecting rod, of the first circular plates; through the arrangement of the vertical rod structure and the cross rod structure, the detection net structure can be assembled by bringing each component to a measurement site, the detection net is convenient to carry, the convenience in use is improved, and in addition, due to the equidistant arrangement of the plurality of fluxgate sensors, the detection efficiency is improved. And the precision, comprehensiveness and reliability of local space slope magnetic field measurement can be obviously improved.

Provided is a brain wave measurement device (10) comprising: an electrode unit (30) that acquires brain waves by contacting a measurement site of a subject; and a support member (20) that supports the electrode unit (30). The support member (20) includes: a film member (120) (substrate, circuit pattern (22), protective layer, and shield layer); and a mounting part (25) that is provided to the film member (120) and that is for mounting the electrode unit (30). The electrode unit (30) and the mounting part (25) are fixed by a detachable engagement structure.

Provided is an ultrasonic probe capable of transmitting ultrasonic waves to tissue in a living body at an appropriate angle. An ultrasonic probe is provided with: an ultrasonic transmission / reception unit that transmits ultrasonic waves to a living body and receives the ultrasonic waves reflected inside the living body; and a housing for housing the ultrasonic wave transmitting / receiving unit, the housing being provided with a teaching unit for teaching a contact angle of the ultrasonic wave transmitting / receiving unit corresponding to a measurement site inside the living body.

Modular physiological sensors that are physically and / or electrically configured to share a measurement site for the comfort of the patient and / or to ensure proper operation of the sensors without interference from the other sensors. The modular aspect is realized by providing outer housing shapes that generally conform to other physiological sensors; mounting areas for attachment of one sensor to another sensor; providing release liners on the overlapping sensor attachment areas; and / or providing notches, tabs or other mechanical features that provide for the proper placement and interaction of the sensors.

The present invention homogenizes maintenance work. A maintenance work assistance system provided with a work robot that performs maintenance work for each work item, the maintenance work assistance system comprising: a measurement unit that measures a prescribed measurement site for the work item every time the maintenance work for the target work item is performed; a determination unit that determines whether or not a measurement result measured by the measurement unit satisfies a work quality set for the work item; and a control unit that, if it is determined that the work quality is not satisfied, controls to perform an additional operation for the maintenance work of the work item until the determination unit determines that the work quality is satisfied.

The invention relates to the technical field of robot vision three-dimensional measurement, and discloses a three-dimensional measurement path planning method and system based on AGV and mechanical arm collaboration, and the method comprises the following steps: firstly, dividing a measurement viewpoint of a three-dimensional scanning measurement system into a horizontal viewpoint and a vertical viewpoint; secondly, according to the physical parameters of the AGV, the mechanical arm, the three-dimensional scanning measurement system and the to-be-measured part, a double-loop AGV motion path is constructed; then, generating an initial AGV measurement site set on the path according to a fixed step length; then, optimizing the measurement sites by using a local optimal measurement viewpoint clustering algorithm to obtain a final measurement site set; and finally, aiming at each measurement site, generating a motion path of the mechanical arm by adopting a shortest distance priority loop-free planning algorithm. By reasonably dividing the measurement viewpoints and optimizing the measurement path, the efficiency and accuracy of robot vision three-dimensional measurement are improved, and the risk that a mechanical arm collides parts in the measurement process is also avoided.

The present invention provides a method for power measurement and mode monitoring of a planar high-power microwave radiation field. The power measurement method includes: in a measurement site, arranging a planar microwave sensor on a measurement surface in the energy concentration area facing the radiation source; concentric first to Nth measurement rings are arranged on the measurement surface; Q measurement points on the nth measurement ring are respectively: the first measurement point T of the nth ring 1 n to the Qth measurement point T of the nth ring Q n ; a microwave sensor is arranged at each measurement point; the electric field amplitude and electric field phase of each measurement point are measured and obtained by using the planar microwave sensor, and the power density is calculated according to the electric field amplitude; the radiation field power of the radiation source is obtained by integrating the power density on the measurement surface. The mode monitoring method includes: representing the distribution of the radiation electric field intensity on the measurement surface with different colors to achieve image display; diagnosing and monitoring the types, amplitudes, and phases of the hybrid modes of the high-power microwave source by using the principle of mode orthogonality.

The invention relates to a scattering measurement-based metrology system and method. The measurement model is trained from raw scatterometry data collected by a scatterometry-based overlay metrology system from an experimentally designed DOE wafer. Each measurement site includes one or more metrology targets fabricated with programmed overlay variations and known process variations. Each measurement site is measured with a known metrology system variation. In this manner, the measurement model is trained to separate the actual overlay from process variations and metrology system variations that affect overlay measurements. Thus, estimation of the actual overlay from the training measurement model is robust to process variations and metrology system variations. The measurement model is trained based on scatter measurement data collected from the same metrology system used to perform measurements. Thus, the measurement model is insensitive to system errors, asymmetry, and the like.

To provide a new technique for specifying a change in the form of a tissue of an eye to be examined.SOLUTION: The ophthalmic information processing method includes a layer thickness specifying step, a characteristic position specifying step, and a risk determining step. In the layer thickness specifying step, the one or more processors specify a layer thickness of a predetermined layer region in a measurement site in an A scan direction based on the OCT data of the subject's eye. In the characteristic position specifying step, the one or more processors specify a characteristic position of a change amount of the layer thickness in a direction intersecting the A-scan direction based on the layer thickness specified in the layer thickness specifying step. In the risk determination step, the one or more processors determine the risk of the disease based on the amount of change in the characteristic position. In the risk determination step, the risk of the disease is determined based on risk determination information in which information indicating the risk of the disease is associated in advance with each of the plurality of change amounts.SELECTED DRAWING: Figure 6

The present disclosure relates to a radioactive waste barrel activity measuring device, comprising a chassis and a conveying mechanism arranged on the chassis, the bottom of the chassis is connected with walking wheels, a dose measuring mechanism and a detector assembly are arranged on one side of the conveying mechanism on the chassis, the detector assembly is movably arranged on the chassis to be able to approach or move away from the conveying mechanism, a control system is further arranged on the chassis, and the control system is electrically connected with the dose measuring mechanism and the detector assembly respectively. In this way, the device can conveniently adjust the waste barrel and the radioactive activity measuring device for radioactive measurement, and move to the required measurement site according to the requirement. Through the control system, all running actions of the whole measuring device can be controlled, and the data collected by the dose measuring mechanism and the detector assembly are collected, the efficiency of the activity measurement of the radioactive waste barrel is improved, and the measurement operation of the low-activity radioactive waste barrel is conveniently and quickly completed.

The present invention discloses a calibration method for a laser positioning system with a self-organizing network mechanism, which is specifically implemented according to the following steps: Step 1, install a marking point on each laser emission station and calibrate the coordinates of each marking point in the local coordinate system of the emission station; Step 2, after arranging the laser emission stations at the measurement site, measure the distance between every two marking points; Step 3, the laser emission stations measure the marking points with each other, and calibrate the laser positioning system in combination with the distance between every two marking points; Step 4, after the laser positioning system is calibrated to form a measurement network, when a new laser emission station is added to the system, the original measurement network measures the marking points of the new emission station to achieve self-organizing network. The present invention only needs to fix a marking point on each laser emission station, and the calibration can be completed by measuring the distance between the marking points. After the calibration is completed, when a new laser emission station is added, the calibration of the new laser emission station can be completed through the self-organizing network mechanism, improving the calibration efficiency.