79 results about "Measurement evaluation" patented technology

The invention discloses an interferometer direction-finding and angle-measuring evaluation error correction method and device, a medium and a product, and relates to the technical field of radio direction-finding testing. The method comprises the following steps: firstly, adjusting the angle of a test turntable to an initial position; then measuring the distance d from the target radiation source to the center of the direction-finding antenna sub-array and the eccentric radius r of the direction-finding antenna sub-array relative to the center of the test turntable; rotating the direction-finding rotary table to a certain test angle alpha, and recording a target radiation source measurement angle theta'output by the detected interferometer direction-finding system at the moment; then calculating a correction angle beta and a direction-finding evaluation benchmark theta after correcting an eccentric angle measurement error; then calculating a direction finding precision evaluation error delta after the eccentric angle measurement error is corrected; and finally, based on the direction-finding precision evaluation error delta, accurately evaluating the direction-finding precision of the detected interferometer direction-finding system. The method improves the evaluation accuracy of the direction finding precision of the tested system, and enables the evaluation of the direction finding performance of the tested system to be closer to the real level.

The invention provides an intelligent construction method for a water conservation forest project in a loess plateau area, and relates to the field of forestry ecological restoration and water and soil conservation projects. The method comprises the following steps: collecting and carrying out normalization processing on various original physical quantities based on a space-time sliding window to obtain normalized values of the various physical quantities; constructing a composite physical state function based on the normalized values of various physical quantities, introducing a disturbance propagation response function to construct a measurement evaluation function, and performing spatial threshold screening processing based on the measurement evaluation function to generate a planting candidate point set; generating a spatial aggregation planting block set based on the planting candidate point set; and determining planting parameters based on the gradient change condition of the measurement evaluation function in the spatial aggregation planting block so as to execute planting operation. The problems that a traditional water conservation forest engineering construction method lacks modeling of spatial disturbance and neighborhood consistency, construction parameter configuration lacks intelligent adjustment, and a measurement-analysis-decision-execution closed loop structure is not formed in the whole process are solved.

The invention discloses an underwater image restoration method based on polarization imaging and low-frequency filtering, and the method comprises the steps: S1, collecting polarization images of different turbid water bodies at three angles through an underwater polarization imaging experiment platform, and calculating a Stokes vector of an underwater target scene; s2, calculating a polarization degree and a polarization angle image of an underwater target scene according to the Stokes vector, and establishing a target light model according to a relation of polarization information; s3, based on the low-frequency characteristics of the background light, extracting low-frequency background light components of the turbid polarization image at each angle, and calculating a corresponding background light Stokes vector according to the low-frequency background light components; and S4, the processed parameters are substituted into the imaging model, and the optimal cut-off frequency of the filter is adaptively determined in combination with enhanced measurement evaluation indexes, so that high-quality underwater image restoration is realized. According to the method, texture features and edge details of more target areas can be effectively restored.

The invention discloses a measurement and evaluation method and system for double analysis of the aging state of a cable, and belongs to the technical field of nondestructive testing of the insulation state of electrical equipment, and the method comprises the steps: obtaining a broadband dielectric spectrum of a corresponding aging sample in any aging period, and constructing low-frequency dielectric loss data related to a plurality of aging samples; obtaining group data of a standard measurement sample corresponding to any aging sample, and constructing oxidation data about a plurality of standard measurement samples; acquiring a dielectric spectrum space charge distribution diagram based on the low-frequency dielectric loss data, and acquiring an oxidation product concentration thermodynamic diagram based on the oxidation data; obtaining an aging grading result based on the low-frequency dielectric loss data and the oxidation data; and outputting a three-dimensional aging measurement evaluation report based on the dielectric spectrum space charge distribution diagram, the oxidation product concentration thermodynamic diagram and the aging grading result. According to the measurement and evaluation method and system for double analysis of the aging state of the cable, accurate quantification of the aging degree is achieved by synchronously analyzing the dielectric response and the chemical structure change.

The invention discloses a quality evaluation model construction method based on graph theory features, and the method comprises the steps: constructing a multi-evaluation object quality evaluation model data set, and obtaining a directed graph representing evaluation objects; constructing a second-layer quality evaluation model; carrying out measurement evaluation on object attributes representing in-degree nodes; constructing a quality model of a first-layer quality evaluation model, and obtaining an evaluation result of the first-layer model; carrying out the comprehensive quality evaluation of the evaluation object, and forming a topological graph representing the field quality evaluation; and performing loop execution to form a global quality evaluation topological graph of all the evaluation objects in the quality evaluation model representation field. According to the method, better quality evaluation generalization ability can be provided, and the evaluation accuracy and conformity can be more effectively improved compared with an existing quality evaluation model; by establishing a feature association rule with an external object, the quality evaluation model and the external object have a specific representation relationship in the aspect of application, and the application ductility of the evaluation quality model is improved.

The present invention relates to a radar two-dimensional angle measurement evaluation method based on amplitude and phase errors. By analyzing the influence of materials such as bumpers in the radar deployment environment on angle measurement, the method obtains the amplitude and phase errors under the two-dimensional angle FOV at the actual radar deployment position, adds them to the two-dimensional angle measurement model for angle estimation, and obtains the radar azimuth and pitch angle, thereby accurately analyzing the radar two-dimensional angle measurement.

To suppress wrong measurement of a mark.SOLUTION: A determination method for determining formation conditions to form a mark for ensuring a relative positional relation between a first pattern formed by a first exposure device and a second pattern formed by a second exposure device, includes the following: a formation step of applying light to a substrate and forming a mark thereon; a measurement step of measuring the mark; and a determination step of determining the formation conditions on the basis of a result obtained by measurement in the measurement step. The formation step and the measurement step are performed in a plurality of conditions different from each other in distances between the formation part of application of the light in a direction perpendicular to the substrate and the substrate, and in the determination step, the distances in the conditions in the case that a measurement evaluation value of the mark satisfies a predetermined reliability are determined as the formation conditions.SELECTED DRAWING: Figure 2

The invention discloses a high-voltage cable buffer layer ablation degree evaluation method and device, and belongs to the technical field of high-voltage cable detection. Aiming at the problems of high false detection rate and low positioning precision of the existing detection technology, the method provides three steps of detection processes: firstly, drilling holes along preset intervals of a cable to take gas, analyzing gas components by using a gas chromatograph, and screening sections containing ablative characteristic gas; secondly, an infrared thermal imager is adopted to accurately position temperature abnormal points, and gas is remeasured; and finally, determining a gas weight in combination with an optimal and worst method, constructing a quantitative model through a multi-criterion compromise solution sorting method, calculating an abnormal point comprehensive score and dividing risk grades. According to the method, through a cooperative detection mechanism of gas primary screening, infrared positioning and retest evaluation, the detection efficiency and accuracy are remarkably improved, early ablation symptoms can be recognized, and the omission ratio is reduced.

An online measurement gear precision evaluation method considering geometric errors of a large-specification gear making machine tool is characterized in that a measurement path is planned based on the large-specification machine tool which is provided with an online measurement system and contains X, Y, Z and C axes, an online measurement system geometric error model is established, the influence of the geometric errors on a measurement result is analyzed, and the precision of the large-specification gear making machine tool is evaluated. And obtaining a theoretical comparison position corresponding to the actual measurement point, and evaluating the processed measurement result. A measurement path is planned according to an involute helical gear measurement principle and shaft configuration characteristics of a large-specification gear making machine tool; establishing a geometric error model in combination with the measurement path; and analyzing the influence of the geometric error on the measurement result, correcting the measurement result, and evaluating the corrected measurement result. According to the invention, the online measurement evaluation accuracy of the large-specification gear making machine tool is improved.

The invention belongs to the technical field of gynecological examination instruments, and provides an automatic pelvic organ prolapse measurement and evaluation system which comprises a scale measuring ruler, a pressure sensor and an automatic evaluation panel. A pressure sensor is embedded in the far end of the measuring scale and fixed in a groove in the far end of the measuring scale, the near end of the sensor is connected with an automatic evaluation panel through a wire, the near end of the measuring scale is embedded in a locking mechanism of the automatic evaluation panel, and different indicator lamps on the automatic evaluation panel feed back data of the pressure sensor qualitatively. The plurality of physical keys control startup, measurement and automatic evaluation calculation, the loudspeaker feeds back evaluation data, and the display screen can visually interact the evaluation data with doctors; the pressure sensor is used for feeding back contact, reading errors can be reduced, various data of POP-Q scores can be conveniently, rapidly and accurately measured, the data are automatically analyzed to evaluate POP-Q staging, work of clinical operators can be greatly facilitated, and evaluation time is shortened.

The invention relates to an arrangement comprising a gas detector (100) and an expansion module (20, 21), as well as a method for configuring such a gas detector (100). The gas detector comprises a base part (1), a gas sensor, an evaluation unit, and a reader (17). The gas sensor measures a detection parameter that correlates with the concentration of a target gas. The evaluation unit determines the target gas concentration and uses a measured value of the detection parameter. The expansion module (20, 21) can be detachably connected to the base part (1). A identifier for the expansion module (20, 21) is stored in a data memory (19, 24) of the expansion module (20, 21). When the expansion module (20, 21) is connected to the base part (1), the reader (17) reads the data memory of this expansion module without physical contact.Depending on a signal from the reader (17), the gas detector determines whether the expansion module is connected to the base unit or not. If so, the gas detector triggers an action.

The invention provides a multi-stage rotor and stator measuring and assembling method based on unification of a measuring reference and an assembling reference, and particularly belongs to the technical field of aerospace engines. Measurement and assembly benchmark errors can be reduced through measurement and assembly integration, evaluation data are fed back to a measurement and assembly system, aerospace engine rotor and stator assembly precision regulation and control based on data guidance can be achieved, unification of a measurement benchmark and an assembly benchmark can be guaranteed, benchmark deviation between assembly and measurement can be effectively removed, and measurement accuracy is improved. Actual measurement of the rotor and the stator can be achieved while installation and detection are conducted, data can be used for geometric error evaluation and assembly prediction, and feasibility of the method for achieving rapid measurement evaluation and accurate assembly prediction of geometric parameters while installation and detection is conducted is proved. The device comprises a measuring rotary table, an assembling chuck, a center and inclination adjusting table and a measuring sensor. A center and inclination adjusting table is installed on the top face of the measuring rotary table, an assembling chuck is arranged on the top face of the center and inclination adjusting table, stand columns are fixedly installed on the two sides of the top face of the measuring rotary table, cross arms are installed on the two stand columns, and measuring sensors are installed at one ends of the cross arms.

The present disclosure relates to a communication method and device, user equipment, network equipment, and storage medium. The method comprises: detecting whether a reference signal satisfies a measurement relaxation condition; and performing measurement relaxation processing on measurement of the reference signal in response to the reference signal satisfying the measurement relaxation condition. According to the present disclosure, when the UE satisfies the measurement relaxation condition, at least one of the measurement evaluation period and the indication period of the reference signal is adjusted to be longer, the measurement frequency of the reference signal is reduced, the UE enters the power saving state, and the measurement of RLM and BFD is relaxed, thereby achieving the effect of power saving.

A distributed resource electric quantity trusted measurement evaluation method based on a block chain technology relates to the technical field of electric energy quality monitoring, and specifically comprises the following steps: acquiring real-time data of distributed power supply equipment; preprocessing the obtained real-time data, and then uploading the data to a block chain node; the data receiver verifies the data of the block chain node by adopting a Byzantine fault-tolerant consensus; if verification fails, data acquisition, data preprocessing, uploading to the block chain node and data verification are performed again; if the verification is passed, the data of the block chain node is encrypted and transmitted to the electric quantity evaluation model through a transmission protocol; performing trusted measurement evaluation on the data by the electric quantity evaluation model to obtain a trusted measurement score; converting the trusted measurement score into a trusted measurement grade; corresponding processing strategies are executed according to different trusted measurement levels; the method is used for solving the problems that traditional evaluation training is high in cost and an evaluation result is inaccurate.

The embodiment of the invention relates to equipment, a device and a method for measuring unloading. In an aspect, a terminal device stores system information including at least one condition for applying a measurement offload from a first type of radio to a second type of radio. Based on the system information, the terminal device evaluates whether at least one condition is satisfied according to at least one measurement performed in the first state. Based on determining that the at least one condition is satisfied, the terminal device applies measurement offloading in accordance with a state transition from the first state to the second state. Therefore, the power consumption of the terminal device is reduced.

The invention discloses a tower drum health assessment system of a wind driven generator, which comprises a tower drum, a plurality of detection nodes are distributed on the outer wall of the tower drum at intervals of one section in a linear array manner, and a controller is fixedly mounted in the tower drum, and relates to the technical field of health assessment of wind driven generators. The plurality of detection nodes are distributed on the outer wall of the tower at intervals in a linear array manner, the controller is fixedly mounted in the tower, the detection nodes are in signal connection with the controller, and the single detection node is used for detecting the offset of the tower of the sections and the plurality of detection nodes are used for detecting the offset of the whole tower. Specifically, a multidirectional vibration sensor in a detection node can detect the offset of a tower drum section, optical detection is carried out through a forward IPC camera and a lateral IPC camera, and the offset of the multidirectional vibration sensor can be approved, so that the correct offset of the multidirectional vibration sensor is confirmed, the amplitude of the tower drum is ensured to be in a correct measurement range, and the detection accuracy is improved. The measurement evaluation result is accurate.

Aspects of the present disclosure relate to user equipment (UE) handover from a network energy saving cell. The timelines of different events allow the UE to make a reliable decision regarding performing a handover to a target cell, such as by providing the UE with information that there is limited time before the source cell is dormant and thus a measurement or evaluation that finds the target cell for handover can continue. For example, a sleep remaining time (RTS) value may be defined that indicates an amount of time the source cell remains active after sending a cell-off indication to the UE. The source cell enters sleep only after the RTS time indicated in the cell off indication has elapsed. The UE remains active in the source cell until the RTS time elapses and performs measurements and measurement evaluations of candidates.

The application discloses a kind of complex curved surface standard piece's multi-feature point cloud data automatic segmentation method, belong to geometric parameter digitization measurement evaluation field.The application implementation method is: according to the information obtained by analytic MBD model, the corresponding relationship between each surface name coding, surface basic attribute, GD&T is established, and the surface feature library of each surface is established;The MBD model of complex curved surface standard piece is converted into the theoretical point cloud of complex curved surface standard piece, and the point of surface is subdivided according to dense, obtains the theoretical point cloud M nom , complete the file format conversion of MBD model;Based on the ICP improved algorithm of fusion geometry feature, complex curved surface standard piece measured point cloud is registered with theoretical point cloud;According to surface feature library, the segmentation of measured point and nearby point of surface point cloud is realized, and further point cloud segmentation result is carried out point cloud segmentation, and the measured point cloud of complex curved surface standard piece containing multiple geometric parameters is realized automatic high-precision segmentation.

An intelligent splicing method for the measurement atlas of grid-frame buildings based on BIM and SLAM positioning, comprising the following steps: determining the self-pose of a quadruped robot by combining the BIM model of the grid-frame building with the SLAM positioning algorithm to obtain its position information; obtaining the horizontal positions of the projections of all grid-frame nodes through the BIM model of the grid-frame building; planning a path while scanning with a multi-line lidar according to the position information to reach the initial point; reaching the projection position of the initial point, measuring the distances between the grid-frame node and its adjacent nodes, comparing the measurement data with the information of the nodes in the BIM model, marking the error if there is an error, and measuring the data of the next node if there is no error, while saving the currently measured atlas data and performing splicing; repeating the steps until all nodes have been measured and the atlas data has been saved, and outputting a measurement evaluation report. The present invention not only realizes the health assessment of grid-frame buildings efficiently and precisely, but also can be adaptively applied to grid-frame buildings in complex scenarios.

The invention discloses an evaluation method and device considering transient characteristics of an active power distribution network, and a medium. The method comprises the steps that parameter values of elements in the active power distribution network are changed for multiple times in a plurality of preset step lengths, preset disturbance is applied to the active power distribution network after the parameter values are changed each time, and active power and reactive power of a connection point of the active power distribution network and a main network are obtained; according to the active power and the reactive power, respectively calculating measurement indexes of different stages of the active power distribution network of each parameter value change; according to the measurement indexes of different stages, calculating a comprehensive measurement evaluation index of the active power distribution network of each parameter value change; and determining the importance degree of each parameter of the active power distribution network according to the comprehensive measurement evaluation index of the multiple changes of each parameter value.

The invention discloses a child high-low shoulder scoliosis measurement and evaluation device and a measurement and evaluation method, and particularly relates to the technical field of spine measurement, the device comprises a base on which a linear movement module for driving a pedal table to keep horizontal movement is assembled; a vertical moving module is fixedly installed on the base, and a machine base is fixedly installed on the vertical moving module. A cross-shaped track frame is fixedly installed on the side, facing the pedal table, of the machine base, the cross-shaped track frame comprises four track parts, a high-definition camera is arranged on each track part in a sliding mode, and the high-definition cameras are driven by first lead screws rotationally arranged in the track parts. According to the invention, through accurate visual evaluation, a reliable basis can be provided for subsequent treatment and training.

The embodiment of the invention provides an information processing method, system and device, communication equipment and a storage medium, the information processing method is executed by a terminal, and the method comprises the following steps: obtaining first information; the first information indicates a parameter of measurement and evaluation of the terminal on a reference signal, and the terminal is configured to support LP WUS monitoring; and performing measurement evaluation on the reference signal based on the first information.

The invention discloses a knowledge distillation-based voltage metering reliability evaluation method in a complex environment. The method comprises the following steps of collecting related data of voltage metering; preprocessing the data; constructing a deep neural network model for voltage reliability evaluation; performing model compression through knowledge distillation; training the deep neural network by using the training set data, and optimizing the network weight; testing the model by using the test set data; and judging whether the target voltage is reliable or not through threshold comparison. According to the invention, a plurality of units such as the voltage transformer, the electric energy meter, the secondary circuit and the like are incorporated into the evaluation model, so that the reliability of voltage metering is evaluated more comprehensively; deep neural network modeling is adopted, the model is compressed through a knowledge distillation method, the calculation efficiency and precision of the system are effectively improved, and the evaluation model can adapt to an industrial personal computer platform with limited resources; the method can adapt to various environment changes, provides more accurate and stable voltage metering evaluation, and remarkably improves the reliability of a voltage metering system.

The invention belongs to the technical field of measurement, and relates to a method for measuring and evaluating water surface fluctuation, which comprises the following steps of: measuring water surfaces with different water depth ratios and different flow rates by adopting an intrusive conductivity phase detection probe, and drawing a signal diagram, so as to quantify the water surface fluctuation amplitude through the water surface roughness sigma; an intrusive conductivity phase detection probe is adopted to measure the interface speed of the probe in contact with an air-water interface, so that the water surface fluctuation frequency is quantified through a dimensionless parameter Y. According to the method, the water surface roughness sigma and the dimensionless parameter Y can be obtained in a calculation mode, the water surface fluctuation amplitude is quantified through the water surface roughness sigma, the water surface fluctuation frequency is quantified through the dimensionless parameter Y, when the sigma value is higher, the water surface fluctuation amplitude is larger, and when the Y value is higher, the water surface fluctuation frequency is larger, so that the water surface fluctuation is more violent, and the water surface fluctuation is more accurate. Therefore, a novel method for quantifying the water surface fluctuation is provided, and the blank of quantifying the water surface fluctuation is filled up.

The invention discloses a full-automatic wafer size grinding control device and method, and relates to the technical field of wafer grinding measurement, the full-automatic wafer size grinding control device comprises a wafer information acquisition module, a coarse grinding and fine grinding first measurement evaluation module and a coarse grinding and fine grinding process dynamic adjustment module, through cooperation of equipment such as a two-dimensional scanning gun, accurate acquisition of grinding information is achieved, and the grinding precision is improved. Rough grinding first measurement is carried out according to a ten-thousandth-micrometer measurement and system analysis to evaluate the wafer state; the number of grinding turns is adjusted according to multiple times of measurement and intelligent calculation in rough grinding; fine grinding first measurement is combined with multi-data evaluation, and dynamic adjustment is also performed according to measurement and calculation during fine grinding. According to the device and the method, an MES system and intelligent manufacturing equipment are utilized, accurate evaluation and intelligent adjustment are carried out in all working procedures, various defects of traditional manual grinding are effectively overcome, the wafer grinding precision, efficiency and quality are improved, and wafer grinding is promoted to advance towards intelligent production.

The invention relates to the technical field of building engineering construction, and discloses a foundation measurement system and method for building engineering construction, synchronous measurement is carried out on a construction area through a multi-source foundation measurement unit, original foundation measurement data are obtained, time alignment and space unified calibration are carried out on the data, and a standardized measurement data set is formed; a foundation space continuous model is constructed on the basis, spatial interpolation and error suppression processing are carried out on discrete measurement points, a foundation three-dimensional structure data set containing space credibility parameters is generated, foundation bearing characteristics and differential settlement characteristics are further analyzed on the basis of the foundation three-dimensional structure data set, and the foundation three-dimensional structure data set is obtained. And forming a foundation mechanical characteristic data set, and generating a foundation measurement evaluation result and construction correction parameters in combination with the construction design reference parameters. The space continuity and reliability of the foundation measurement result can be improved, and an effective basis is provided for construction control and parameter correction.

A radiated electromagnetic noise estimation apparatus (3) has a configuration comprising: a first data acquisition unit (11) that, when a reference device is installed at a position separated from a first measurement device (1) by a first distance, acquires first data, which is data obtained by measuring radiated electromagnetic noise of the reference device using the first measurement device (1); and a second data acquisition unit (12) that, when the reference device is installed at a position separated from a second measurement device (2) by a second distance shorter than the first distance, acquires second data, which is data obtained by measuring radiated electromagnetic noise of the reference device using the second measurement device (2). The radiated electromagnetic noise estimation apparatus (3) further comprises: a third data acquisition unit (13) that, when an evaluated device, which is a device being evaluated, is installed at a position separated from the second measurement device (2) by the second distance, acquires third data, which is data obtained by measuring radiated electromagnetic noise of the evaluated device using the second measurement device (2); and a noise estimation unit (14) that, from the first data, the second data, and the third data, estimates radiated electromagnetic noise of the evaluated device when the evaluated device is installed at a position separated from the first measurement device (1) by the first distance.

The application relates to the technical field of building engineering construction, and discloses a foundation measurement system and method for building engineering construction, which synchronously measures a construction area through a multi-source foundation measurement unit, obtains original foundation measurement data, carries out time alignment and space unified calibration on the data, forms a standardized measurement data set, constructs a foundation space continuous model on the basis, carries out space interpolation and error suppression processing on discrete measurement points, generates a foundation three-dimensional structure data set containing a space reliability parameter, further analyzes foundation bearing characteristics and uneven settlement characteristics based on the foundation three-dimensional structure data set, forms a foundation mechanical characteristic data set, and generates a foundation measurement evaluation result and a construction correction parameter in combination with a construction design benchmark parameter. The application can improve the space continuity and reliability of the foundation measurement result, and provides an effective basis for construction control and parameter correction.