48 results about "Active measurement" patented technology

The invention discloses a safety control method and system for an emerging control main body, and belongs to the technical field of power system active control, and the method comprises the steps: carrying out the bidirectional data interaction through a master station AGC and a field station AGC, and carrying out the bidirectional data interaction based on a bidirectional data interaction result and a cooperative anti-error parameter; whether the emerging control main body is in a controllable state or not is judged in real time through collaborative security locking logic; if the control main body is in the controllable state, active measurement data of the emerging control main body are obtained, and jump detection and multi-source checking are carried out on the active measurement data; after verification is passed, a pre-control instruction is generated based on the control strategy, and reasonability verification and control effect simulation verification are carried out; and after the control effect simulation verification is passed, the pre-control instruction is taken as a final control instruction to be issued to the emerging control main body for execution. The method can greatly improve the safety control capability of AGC on an emerging control main body, guarantees the frequency operation safety of a power grid, and improves the safe and reliable power supply capability of the power grid.

The invention provides a multi-radar information fusion measurement method for multiplex rocket suspension recovery, which comprises the following steps: acquiring a distance measurement value of the surface of a rocket through a plurality of millimeter-wave radars arranged on a rocket recovery device, and screening out effective measurement points based on a preset effectiveness threshold value; based on the screened effective measurement points, solving an initial estimation value of a circle center position by using circular geometric constraints of the cross section of the rocket; and constructing a state vector containing the center position and the motion state of the rocket, and performing multi-frame data fusion on the initial estimation value by using a Kalman filtering algorithm to obtain the optimal estimation of the center position after smoothing. According to the method, effective data of multiple radars are fused, geometric constraints of the cross section of the rocket are introduced to carry out space domain circle fitting, and dynamic smoothing and tracking are carried out in a time domain in combination with Kalman filtering, so that the purpose of improving the measurement accuracy of the landing pose of the rocket is achieved.

An apparatus, comprising: at least one processor; and at least one memory storing instructions that when executed by the at least one processor cause the apparatus at least to perform: receiving, at a user equipment from a network node, a measurement validity configuration specifying radio interface measurement characteristics required to be met by the user equipment to obtain valid measurements; and determining, at the user equipment, whether radio interface measurements made by the user equipment meet the measurement validity configuration and, if so, providing an indication to the network node that valid measurements have been obtained.

The invention discloses a cuff-free blood pressure continuous monitoring method and system based on a light guide film, multiband reflected light signals of fingertip skin are collected through the light guide film attached to a terminal screen, the light guide film realizes directional light guide and stray light filtering through a micro-nano grating array, the light guide film is aligned with screen pixel hardware, and the light guide film is connected with the terminal screen. And the signal to noise is obviously improved compared with a common camera scheme. According to the method, multi-dimensional features such as time difference, rise time and enhancement index between dual-band pulse wave crests are extracted, and systolic pressure and diastolic pressure are calculated in combination with a user personalized baseline model. The system supports dual modes of active measurement and night passive monitoring, motion artifacts are eliminated through an acceleration sensor, ambient light interference is inhibited through an ambient light sensor, and one-machine multi-person exclusive monitoring, local encrypted data storage and user autonomous management are realized through linkage with an applicant spectrum identity recognition patent. The blood pressure monitoring device does not need cuff inflation, does not need electrocardio reference, is free of oppression, can realize non-perception continuous blood pressure monitoring when a user uses a mobile phone daily, and has the advantages of being non-invasive, continuous, low in cost, high in precision and safe in privacy.

The invention belongs to the technical field of high-precision morphology measurement, and discloses an automatic refocusing large-measurement-range nano-morphology measurement method, which comprises the following steps of: 1, acquiring a spectral interference signal of a sample by using an OCT (Optical Coherence Tomography) system, and performing one-dimensional inverse Fourier transform on the signal in a wavenumber domain to obtain an airspace complex amplitude signal; step 2, selecting a surface complex amplitude signal according to the maximum signal intensity based on the airspace complex amplitude signal; step 3, calculating average low-frequency intensity based on the surface complex amplitude signal to obtain an actual defocusing distance; 4, performing refocusing calculation based on the surface complex amplitude signal and the actual out-of-focus distance to obtain a refocusing surface signal; and step 5, based on the refocusing surface signal, calculating and outputting a morphology height difference. According to the method, the effective measurement range of OCT nano-morphology detection can be expanded, the morphology detection capability of a non-flat surface is optimized, side lobe artifacts caused by defocusing are inhibited, the method is realized based on numerical calculation, and the system complexity and cost are reduced.

Disclosed are techniques for wireless positioning. In an aspect, a user equipment (UE) receives a positioning reference signal (PRS) configuration comprising at least a PRS period defining repetition of one or more PRS resources associated with at least a first transmission reception point (TRP), receives a measurement gap configuration comprising at least a measurement gap repetition period (MGRP) defining repetition of a measurement gap, and performs one or more positioning measurements of the one or more PRS resources during one or more repetitions of a measurement period, the one or more repetitions of the measurement period having an effective measurement period, the effective measurement period based on an alignment period and a time period T in which the UE can process a duration N of PRS symbols, the alignment period based on the PRS period and the MGRP.

In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The method may be performed by a UE. In certain configurations, the UE receives, from a base station, a triggering command for a target cell related to a radio research management (RRM) procedure. The UE determines whether a report for a valid measurement has been transmitted within a predetermined period of time before receiving the triggering command. In response to determining that the report has not been transmitted, the UE transmits, to the base station, the report for the valid measurement of the RRM procedure to shorten a delay of the RRM procedure.

This application provides a pairing and screening method for ultrasonic transducers. A first ultrasonic transducer is placed on the first side of a test cavity, and a second ultrasonic transducer is placed on the second side of the test cavity. The resonant frequencies of the first and second ultrasonic transducers are tested using a frequency sweep method. Multiple test frequencies are selected based on the resonant frequencies. The first and second ultrasonic transducers are used interchangeably to emit ultrasonic waves at the multiple test frequencies, and multiple receiving frequencies and corresponding receiving amplitudes are received respectively. This allows for the determination of successful pairing between the first and second ultrasonic transducers. This application can effectively measure the entire process from transmission to reception through resonant approximation parameter measurement, thereby evaluating the pairing quality of the ultrasonic transducers.

The invention discloses a pulsating pressure wave number-frequency spectrum two-dimensional surface array data processing method, which is based on concepts such as a cross-spectrum matrix and a position difference vector, obtains a corresponding discrete area by defining a plurality of key sets related to a two-dimensional surface array and applying a Worronoi diagram method, and finally obtains the pulsating pressure wave number-frequency spectrum two-dimensional surface array data. And a two-dimensional wave number-frequency spectrum is obtained through a multiplication method. On one hand, the method can adapt to all types of two-dimensional surface array forms, the problem of applicability limitation of a traditional method is thoroughly solved, meanwhile, an analysis result directly corresponds to a TBL pulse pressure wave number-frequency spectrum, and effective measurement of real physical quantities is achieved; and on the other hand, by introducing a parallel computing architecture, the data computing time consumption can be remarkably shortened, the processing efficiency is greatly improved, the universality and high efficiency of two-dimensional pulsating pressure wave number-frequency spectrum data processing are considered, and a better support is provided for engineering landing of related technologies.

Methods, systems, and devices for wireless communications are described in which a user equipment may be configured with measurement resources that may be measured and processed based on resource occasion grouping of at least one measurement resource associated with a measurement report. An active measurement duration may be defined to span from a first symbol of a paired resource occasion group to a last symbol of the paired resource OG, plus a duration of one or more symbols. A UE may monitor and measure one or more measurement resources, and transmit a measurement report in accordance with corresponding measurements in an associated active one or more measurement resources.

The invention discloses a rapid plastometer precision measurement method based on edge calculation. The method comprises the following steps: collecting measurement data, transmitting the measurement data to an edge calculation node, and preprocessing the measurement data; performing dynamic feature extraction and parameter identification to form a real-time measurement feature value; performing error compensation and temperature drift correction by using the improved DESN model to generate a corrected feature vector; utilizing a data consistency test method to obtain an effective measurement data set; performing multi-source measurement data fusion to obtain a fusion processing result data set; calculating a measurement deviation index and outputting a correction result; generating loading response information according to the execution state of the loading control unit and the returned measurement data; and the updated improved DESN model is obtained, real-time processing, error suppression and high-precision feature recognition of the measurement of the plastometer are realized, and the data reliability and the measurement stability are improved.

The first device can periodically provide a message request for measuring network performance to neighboring devices in a network with the first device throughout a test session. The neighboring devices, upon receiving the request message, will determine a network performance indicator (NPI) value using a relay mechanism. The first device can periodically receive a response message including the NPI value from the neighboring devices and throughout the test session. The first device can determine an additional NPI value that measures network performance between the first device and the neighboring devices. The first device can determine an overall NPI value based on the NPI value and the additional NPI value. The first device can identify a preferred next hop to one of the neighboring devices based on the overall NPI value, where the preferred next hop is part of a preferred path through the network.

The application discloses a kind of target space displacement monitoring methods based on laser point cloud, it is related to civil engineering operation maintenance technical field, comprising: S1, setting monitoring scheme, arranging strong reflection circular target on structure;S2, utilize laser scanning equipment to emit point cloud to structure, based on reflection intensity characteristic identification and extraction target point cloud;S3, the point cloud data of target is modeled to error, based on inscribed circle fitting, calculate the uniformity of point cloud on spatial distribution;S4, based on error propagation theory, calculate effective acquisition period;All effective measurement datum point coordinates are weighted average, obtain final monitoring coordinate value;S5, compare monitoring coordinate value with historical monitoring data, obtain the spatial displacement variation of structure in different time periods, form displacement time sequence.The application is based on the targeted monitoring idea of laser point cloud reflection intensity characteristic, combined with uniformity test and error propagation theory, realize the high-precision, long-term stable measurement of structure datum point.

In one implementation, a device may obtain a Simple Two-way Active Measurement Protocol test packet that includes hop-by-hop data collected by the Simple Two-way Active Measurement Protocol test packet along its path. The device may determine whether the Simple Two-way Active Measurement Protocol test packet includes an instruction to reflect the hop-by-hop data back to an originating session sender. The device may copy, based on a determination that the Simple Two-way Active Measurement Protocol test packet includes the instruction, the hop-by-hop data into a type-length-value segment of a reply Simple Two-way Active Measurement Protocol test packet. The device may transmit the reply Simple Two-way Active Measurement Protocol test packet back to the originating session sender.

The application discloses a kind of six-degree-of-freedom optical alignment detection systems and methods based on passive target.It includes active measurement module and passive reflective target, active measurement module and passive reflective target are respectively arranged on two components to be aligned, active measurement module emits laser to passive reflective target, and the relative pose of two components to be aligned in six degrees of freedom is obtained after laser is reflected back to active measurement module and processed.The application realizes high-precision, low-cost, high real-time and anti-pollution alignment detection, and is particularly suitable for new energy vehicle automatic charging, industrial robot precision docking and other scenes requiring fast and accurate alignment.

The invention provides a river water diameter automatic measurement method and system based on water gauge scale identification, and belongs to the technical field of water conservancy, and the method comprises the steps: inputting original measurement data into a water gauge image enhancement neural network, and obtaining standard measurement data; performing image quality evaluation on the standard measurement data, and generating an image quality score set; comparing the image quality score set with a preset image quality threshold to obtain a comparison result; dividing the standard measurement data into valid measurement data and invalid measurement data based on the comparison result; inputting the effective measurement data into an image processing algorithm to obtain a water level value; filling missing water level information corresponding to the invalid measurement data based on a preprocessing result of the auxiliary data to obtain a water level estimation value; integrating the water level value and the water level estimation value to obtain water level time sequence data; and determining the water runoff based on a pre-generated water level-flow relation curve and the water level time sequence data. According to the invention, the measurement accuracy is improved.

The application relates to the technical field of measurement path planning, and provides a three-coordinate measuring machine measurement path optimization method based on digital twinning and related equipment. The method comprises the following steps: establishing a digital twinning model of a measured part and a three-coordinate measuring machine; in the digital twinning model, the measurement region is classified according to the measurement accuracy of the measured part, and a plurality of region types are obtained; an initial measurement viewpoint set is obtained, and an effective measurement viewpoint set is screened from the initial measurement viewpoint set according to the region types; based on the effective measurement viewpoint set, an ant colony algorithm is used to solve an initial measurement path of the three-coordinate measuring machine by taking path distance, measurement accuracy standard rate and motion energy consumption as optimization targets; and the initial measurement path is optimized according to actual motion parameters of a measuring head of the three-coordinate measuring machine, so that an optimized measurement path is obtained. The application can shorten the viewpoint screening period, improve the viewpoint screening efficiency, and further improve the path planning efficiency, so as to meet the real-time measurement requirement.

The present invention relates to a computer readable storage medium having stored therein instructions for execution by one or more processors of a UE. These instructions configure the UE for cross-RAT NR-EUTRAN measurements in a 5G NR network and a more advanced network, and cause the UE to perform operations including encoding notification signaling to be transmitted to the base station. The notification signaling indicates the capability of the UE to perform a measurement gap-free cross-RAT NR-EUTRAN measurement. Configuration signaling received from a base station is decoded. The configuration signaling will configure a periodicity and a minimum available time associated with an effective measurement window (EMW) that does not overlap with the measurement gap. A cross-RAT NR-EUTRAN measurement is performed within the EMW, the measurement having a duration within a minimum available time.

This invention discloses a portable ranging method and system for engineering surveying. The method includes: acquiring distance measurement points of a target object and the attitude parameters of the measuring equipment using a measuring device; processing the distance measurement points using a density clustering algorithm to obtain valid measurement points, marking these valid measurement points to obtain a ranging node sequence; calculating the Euclidean distance between adjacent valid measurement points in the ranging node sequence, constructing a ranging chain branch, and adjusting the ranging chain branch when the directional angle between adjacent valid measurement points satisfies a first spatial constraint condition to obtain a continuous ranging chain; based on the curvature change of adjacent valid measurement points in the continuous ranging chain, obtaining abnormal node segments, acquiring compensated ranging values ​​for abnormal node segments and base ranging values ​​for non-abnormal node segments, and obtaining the target ranging value. This invention more comprehensively reflects the actual situation of the measurement scenario and can better adapt to various challenges in complex measurement environments.

The embodiment of the application provides a method and device for determining a poor-quality base station, a server and a storage medium, the method comprising: obtaining two-way active measurement protocol (TWAMP) data of a target base station in at least one first period, wherein the TWAMP data comprises performance quality indexes; determining whether all the performance quality indexes are greater than a first threshold; if it is determined that all the performance quality indexes are greater than the first threshold, determining that the target base station is a poor-quality base station; and if it is determined that all the performance quality indexes are less than or equal to the first threshold, determining that the target base station is a non-poor-quality base station, thereby shortening the time for determining the poor-quality base station and obtaining a periodic analysis result of the poor-quality base station.

The invention relates to the technical field of sensor improvement, in particular to a method for improving the water quality automatic monitoring fourth rate. The method comprises the following steps: acquiring the surface and sampling port states of the water quality sensor and executing cleaning operation to ensure the sampling precision; performing polling acquisition to form a water body horizon data set, and automatically injecting standard liquid according to layered gradient deviation to complete zero point and range correction; and finally, consistency identification and abnormity elimination are carried out based on adjacent sensor data, effective measurement data are uploaded to a monitoring platform in real time, and dynamic, accurate and stable operation of water quality monitoring is realized. According to the invention, surface cleaning and periodical hierarchical data acquisition of the water quality sensor are carried out, a dynamic zero point and range calibration mechanism based on hierarchical gradient deviation is adopted, and edge calculation and intelligent prediction of an LSTM neural network are combined; the continuous and stable measurement precision of the sensor in the water quality monitoring process, the obvious improvement of the self-calibration capability and the intelligent early warning of data processing are realized.

The invention discloses a self-adaptive multi-exposure fusion three-dimensional measurement method for a high dynamic range scene. The method comprises the following steps: firstly, acquiring high-frequency phase shift fringe patterns at different exposure times, and finding out initial exposure time for preventing effective measurement areas in all phase shift patterns from overexposure through time domain light intensity overexposure detection operation; taking the high-frequency phase shift fringe pattern of the initial exposure time as an initial image of multi-exposure fusion, adaptively reserving a fringe region with high phase quality according to a modulation degree condition through a noise-modulation degree model, and introducing a time domain superposition principle to estimate the next exposure time of the multi-exposure fusion; and finally, calculating an effective measurement area of the current fused fringe image by using a reference plane phase based on depth constraint, and continuing to perform multi-exposure fusion until the effective measurement area meets a modulation degree condition, thereby completing three-dimensional measurement of the whole high dynamic range scene. According to the invention, the high-quality fringe pattern is obtained through adaptive multi-exposure fusion, the total exposure time is significantly reduced by introducing the time domain superposition technology, and high-precision and high-efficiency full-automatic three-dimensional measurement of a high-dynamic-range scene is realized.

The utility model discloses a pipeline type powder electrostatic voltage test sensor based on a monopole antenna, and relates to the technical field of powder electrostatic measurement. Comprising a metal pipeline, a mounting base, a limiting flange plate and a measuring probe. A flange plate and an annular shielding layer are arranged above and below the metal pipeline for connecting equipment and providing a test environment; the mounting base is welded on the outer side of the pipeline, the axis of the through hole is not perpendicular to the powder flowing direction, and internal threads are arranged on the inner side; the limiting flange plate can adjust the depth of the measuring probe and prevent displacement of the measuring probe; the measuring probe comprises a shell, an insulation cap and a detection device, the insulation cap protects the detection device and reduces powder flow resistance, a broadband special-shaped monopole antenna in the detection device is responsible for capturing electrostatic signals, and a signal processing circuit carries out signal processing. The sensor is convenient to install, high in measurement precision, high in stability and capable of effectively measuring electrostatic voltage of powder in a pipeline, guaranteeing production safety and improving product quality.

An IGCC fuel component analysis and calorific value measurement system, the fuel components can be effectively measured by an infrared instrument and a chromatographic instrument; the multiplex redundant measurement is combined, two syngas is sampled by two sampling devices, two groups of measuring instruments are arranged, the multi-channel calculation of calorific value improves the reliability of calorific value control, and the measurement and process problems are effectively found by calorific value comparison, guaranteeing the effective output of calculated values in the fault state of the instrument, improving the calculation accuracy of calorific value, accurately analyzing the fuel components and calculating the fuel calorific value, and ensuring the stability of the calorific value regulation system and the stable operation of gas turbine; the multi-directional, diversified and multi-security instrument and the introduction of comparison between measured and calculated calorific values can effectively monitor the change of calorific value and the equipment status.

The invention discloses a targeted spatial displacement monitoring method based on laser point cloud, and relates to the technical field of civil engineering operation and maintenance, and the method comprises the steps: S1, setting a monitoring scheme, and arranging a strong reflection circular target on a structure; s2, emitting point clouds to the structure by using laser scanning equipment, and identifying and extracting target point clouds based on reflection intensity characteristics; s3, performing error modeling on the point cloud data of the target, and calculating the uniformity of the point cloud in spatial distribution based on inscribed circle fitting; s4, calculating an effective acquisition period based on an error propagation theory; carrying out weighted average on all effectively measured reference point coordinates to obtain a final monitoring coordinate value; and S5, comparing the monitoring coordinate values with historical monitoring data to obtain spatial displacement changes of the structure in different time periods, and forming a displacement program sequence. According to the invention, high-precision and long-term stable measurement of the structure reference point is realized based on a targeted monitoring thought of laser point cloud reflection intensity characteristics in combination with uniformity test and error propagation theories.

The application provides a trust-aware security distributed tracking method for an interactive multi-target system and belongs to the technical field of state estimation. The application has the following steps: a nonlinear random state space model is established; a memory attack detection mechanism based on trust awareness is designed, an attack detection function is constructed based on measurement residuals, and a limited memory window is used to realize real-time detection of whether the measurement data is attacked; three states of the measurement data are divided, and a measurement credibility factor is constructed; weighted fusion processing is performed to obtain effective measurement information; a security distributed state estimator is constructed to calculate one-step prediction of the system state; an upper bound of a one-step prediction error covariance matrix of each target state is recursively calculated; an estimator gain matrix of each target is calculated; the estimation of each target state is updated by using the gain matrix, and the upper bound of the estimation error covariance matrix is recursively calculated until a preset termination time. The application can improve the security, robustness and reliability of the system in a complex network environment.

The invention discloses an orthogonally-arranged double-path laser Fizeau interferometer, which comprises an interference channel A, an interference channel B and a data processing unit which are orthogonally arranged, and is characterized in that the interference channel A is used for acquiring measurement data of a first view field; the interference channel B is used for acquiring measurement data of a second view field; meanwhile, the measured curved surface on the measuring station is measured from different directions; the data processing unit is configured to receive and synthesize the measurement data of the first field of view and the second field of view to generate a synthesized field of view, and calculate contour parameters of the measured curved surface based on the synthesized field of view. The interference channel A and the interference channel B are orthogonally arranged in space, so that a measured curved surface can be measured from two mutually perpendicular directions at the same time, the effective measurement view field of the system is remarkably expanded, the problem of fitting morbidity caused by local concentration or lack of data in traditional single-view-field measurement is solved, and the measurement accuracy is improved. Therefore, the convergence speed and the numerical stability of fitting algorithms such as the least square method are improved.

This invention relates to the field of digital information transmission technology and discloses a real-time data transmission and distribution system for aircraft multi-network convergence, comprising: a physical layer status monitoring module, a transmission quality inference engine, an inference routing engine, and an image model calibration module. The system acquires physical layer statistics and infers transmission quality indicators based on the transport layer-physical layer image model to guide the routing engine in distributing data packets. Simultaneously, the calibration module uses actual transport layer feedback from data packets to dynamically correct the image model. This invention replaces active measurement with passive inference, avoiding information lag and resource congestion, and solves the drift failure problem of the inference model in complex environments by introducing a self-calibration closed loop.

The application relates to a navigation system calibration method and device, electronic equipment and a storage medium. The method comprises the following steps: starting a multi-source navigation positioning device to collect multi-source original data; screening an effective measurement point set meeting a slant range difference constraint condition; if a current track in the effective measurement point set is in a slant range constraint invalidation scene, a measurement vector and an observation equation are constructed by using the effective measurement point set; if not, attention weights of each measurement dimension are calculated by using an attention weight function, and the observation equation is constructed by weighting; a K-means clustering initialization algorithm based on deep reinforcement learning optimization is run to update a state in a filtering iteration; if the state converges, installation error parameters are output, and system installation errors are compensated; if the state does not converge, a time synchronization and interpolation completion link of the multi-source original data is returned to continue iteration until a calibration process is completed. The application can improve underwater navigation anti-interference capability, realize high-precision calibration, widen an adaptation range, and achieve a high-quality navigation calibration target.

The invention discloses an electromagnetic field multi-component measurement method based on a four-port electromagnetic probe, and the method employs the four-port electromagnetic probe to measure three electromagnetic field components, and comprises the steps: employing the four-port electromagnetic probe to scan an electromagnetic field on the surface of a calibration part, and obtaining the output voltage of the probe as scanning data; simulating the electromagnetic field to obtain simulation data of a normal electric field, a horizontal tangential electric field and a horizontal tangential magnetic field of each measurement point, and aligning the center points of the scanning data and the simulation data; setting a noise threshold, and deleting scanning data close to the noise threshold to obtain effective data; effective data are substituted into a formula between output voltage and field data to solve and obtain a coefficient matrix; and solving a normal electric field, a horizontal tangential electric field and a horizontal tangential magnetic field through the coefficient matrix and the output voltage of the four-port electromagnetic probe. Three electromagnetic field components can be effectively measured at the same time, and the sensitivity of horizontal tangential magnetic field measurement is greatly improved.