38 results about "Measurement evaluation" patented technology

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.

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 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.

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.

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.

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.

A terminal device performs a measurement related to a first base station while in a radio resource control (RRC) idle state or RRC inactive state. The terminal device performs an evaluation process, at least when not configured to determine whether the measurement satisfies a timing condition. The evaluation process determines whether at least one of a first condition a second condition met at a given point in time or during a given time period. The first condition relates to terminal device mobility, and the second condition relates to terminal device location with respect to a cell provided by the first base station. The terminal device sends, to a second base station, an indication of the measurement result and an indication of the evaluation process result. A network device receives and processes these indications from the terminal device.

The present application relates to a kind of detection methods of the included angle between inner raceway and rib of tapered roller bearing, comprising the following steps: the included angle between the big rib cone surface of bearing inner race and the raceway conical surface is alpha, the conical half angle of raceway conical surface is alpha 1, the conical half angle of big rib conical surface is alpha 2, and simultaneously establish geometric relationship model about included angle alpha;After angle conversion by geometric relationship model, alpha=alpha 1+alpha 2 is calculated;Using coordinate measuring machine measurement evaluation function, the conical half angle alpha 1 of raceway conical surface and the conical half angle alpha 2 of big rib conical surface are obtained, so that the included angle alpha is obtained.The present application adopts direct measurement method, can directly detect the included angle between inner raceway and rib of tapered roller bearing inner race, effectively solves the problem of the detection of the included angle between inner raceway and rib of tapered roller bearing inner race, provides strong technical support for product precision of production and manufacturing unit, and provides reliable and effective guarantee for main machine user installation and use.

[PROBLEM] Assist a user in evaluating measures without imposing an excessive burden on the user. [SOLUTION TO PROBLEM] A server plots a result of evaluating a plurality of measures by a plurality of evaluation items (FIG. 4(a)) in an evaluation value space having the plurality of evaluation items as coordinate axes (FIG. 4(b)), coordinate-transforms the evaluation value space by setting a weight for each of the plurality of evaluation items based on values information of a user (FIG. 4(c)), extracts a plurality of pairs of measures based on degrees of similarities of the plurality of measures in the coordinate-transformed evaluation value space (FIG. 4(d)), and creates a goodness distribution chart in the evaluation value space (FIG. 4(e)) based on results of relative evaluation by the user of goodness or badness between the measures included in each extracted pair, and transmits the chart to the user terminal.

The invention relates to a high-precision near-field laser radar cross section testing and evaluating method, which relates to the field of testing and comprises the following steps of: fixing a target to be tested on a rotary table with an upper rotary shaft, an arc shaft and a lower rotary shaft through an adapter; the rotary table is slidably or fixedly connected below the cross beam; a measuring device is fixed at the bottom of a testing frame with a transverse rolling shaft, a pitch shaft and an azimuth shaft through an adapter, and the testing frame can horizontally move up and down in multiple directions so that the measuring device can abut against a target in multiple angles and acquire laser radar scattering intensity voltage signals of the target; replacing the measured target with the standard board in the metering validity period, synchronously measuring the standard board, and obtaining a laser radar scattering intensity voltage signal of the standard board; the method has the advantages that high-precision measurement and evaluation of the near-field laser radar scattering cross section under different missile-target intersection distances, miss distance, measurement system postures and target postures can be realized.

The system for predicting the health and service life of rechargeable electrochemical cells consists of a measuring chamber (1), which contains a charging disconnector (2) and a discharging disconnector (3), a tested electrochemical cell (4), a camera (5) and a temperature measurement block (6), and further of a programmable source (7), a programmable load (8) and a control system (9), which is formed by a control circuit (10), a charging control block (11) and a discharging control block (12), and further of an evaluation system (13), which is formed by a data collection block (14), a parameter extractor (15), an evaluation block (16), a database (17), a reference values ​​block (18) and a results display block (19). The system for predicting the health and lifespan of rechargeable electrochemical cells, based on measurements from the charging and discharging process of a given electrochemical cell, evaluates the parameters of the equivalent circuit of the evaluated electrochemical cell.

The application relates to a model robustness and attack effectiveness measurement evaluation and score calculation method, which comprises the following steps: establishing an evaluation index system composed of a model capability evaluation index, an attack effect evaluation index and an attack cost evaluation index; evaluating the evaluation indexes in the evaluation system; and performing score calculation based on a project response theory and a Markov chain Monte Carlo method. The model robustness and attack effectiveness measurement evaluation and score calculation method can intuitively and comprehensively reflect the performance of an evaluation target and the performance difference between different models or attack algorithms, can be used for performance evaluation of various different structure models and various kinds of counter-attack algorithms, and has universality and flexibility.

The invention provides a mine deep underground engineering safety toughness evaluation method and system based on a cloud model, and belongs to the technical field of safety management. The method comprises the following steps: constructing a mine deep underground engineering safety toughness evaluation index system comprising a base layer index, a system layer index and a target layer index; the weight of each index is determined through system dynamics, uncertainty processing is performed on each index data by adopting a cloud model, and an index cloud picture is generated; a comprehensive evaluation cloud is obtained through a synthesis rule of a cloud model, and quantitative measurement evaluation on the safety toughness of the mine deep underground engineering is realized by combining an evaluation grade standard; the system comprises an index system construction module, a weight calculation module, a cloud model generation module, a cloud distance measurement module and a safety toughness level judgment module. According to the method, the problems of insufficient processing of uncertainty and strong subjectivity in a traditional evaluation method are solved, accurate quantitative judgment of the toughness grade is realized, and the accuracy and reliability of an evaluation result are improved.

The invention discloses a micro-nano period tip acutance characteristic measurement and evaluation system and method, the measurement and evaluation system comprises a measurement standard device, the measurement standard device is provided with a plurality of tip acutance characteristic units which are uniformly distributed in an array, and the four side surfaces of each tip acutance characteristic unit are of an inward concave cambered surface structure; the probe system collects contour data of the tip sharpness feature unit and sends the contour data to the data processing module, and the data processing module analyzes the contour data and calculates an error correction value of the probe system. The method comprises the steps from S1 to S3. A grating standard sample plate with a periodic tip acutance characteristic unit is designed, and online tracking calibration is carried out on nanometer values of the probe on the X axis, the Y axis and the Z axis.

This invention discloses an acupuncture manipulation and force measurement and evaluation system, comprising three main modules: a measuring device, a data acquisition module, and a data evaluation module. The measuring device includes a force / torque measuring structure and a manipulation measuring structure. The force / torque measuring structure consists of a two-dimensional force sensor, acupuncture needles, and a support. The manipulation measuring structure is based on a Phantom force feedback device. The data acquisition module hardware includes an amplifier circuit, an A / D converter, and an STM32 microcontroller. This invention utilizes the force / torque measuring structure and the Phantom force feedback device structure for data acquisition: the acquired signals are amplified and then analyzed and evaluated, erroneous data is eliminated, and finally reliable data is obtained. This invention can measure and store feedback force, torque, depth, angle, insertion / lifting speed, and twisting speed data during acupuncture in real time, and performs data integrity, accuracy, and consistency evaluations to improve data reliability.

The invention provides a daily line loss anomaly identification and tracking system for a power distribution network. Data timeliness and consistency are ensured through a multi-source data real-time access and fusion engine. The daily line loss intelligent calculation and abnormity preliminary screening module constructs a dynamic reference line loss interval and configures a differential threshold value. The abnormal cause intelligent diagnosis engine covers the accurate positioning problem of modules such as topology verification, measurement evaluation and electricity stealing identification. And the multi-cause collaborative attribution and priority sorting module outputs cause chain clear primary and secondary. And the abnormal work order automatic generation and closed-loop tracking module realizes work order automatic distribution and closed-loop management. The visual interaction interface and the mobile terminal support module provide convenient operation of a PC large screen and a mobile App. The system realizes the automatic calculation of the daily line loss of the power distribution network station area, abnormal recognition, intelligent diagnosis and closed-loop processing, and improves the management efficiency and accuracy.

The application discloses a kind of broken rock mass smooth blasting parameter recommendation method, specifically related to the field of blasting data processing, for solving the difficulty of design measurement evaluation to close recommendation;By receiving the blasting design data of completed construction section, construction measurement data and post-blasting forming evaluation data, the hole section relationship order is determined according to the slope design contour, and the post-blasting forming evaluation data is classified into sample records according to the projection coincidence length;The position of blasting design data and construction measurement data is aligned, the deviation content and change direction of the same numerical parameter are calculated, and construction deviation data is formed;According to the adjacent change direction and evaluation state conversion, split boundary, mutually exclusive subset and continuous deviation type are determined, and deviation influence rule is obtained;The initial data of the recommended construction section and the deviation influence rule are matched, the similar samples under the same deviation type are screened, the parameter recommendation result is generated, and the recommended verification result is formed after blasting to update the deviation influence rule.

The invention relates to the technical field of soil body tensile strength measurement and evaluation, and provides a soil body tensile strength measurement and evaluation method and system based on deep learning, and the method comprises the steps: collecting mechanical response data, deformation data and environment temperature data of a soil body in a stretching process at a sampling rate higher than an expected disturbance frequency; obtaining original measurement data; inputting the original measurement data into the feature separation network to obtain decoupled real mechanical features and disturbance features; based on the real mechanical characteristics, evaluating the tensile strength of the soil body to obtain a tensile strength evaluation result; and generating a reliability index of a tensile strength evaluation result according to the disturbance characteristics and the verification result of the physical constraint so as to realize the measurement and evaluation of the tensile strength of the soil body. The method has the effect of improving the accuracy and reliability of the soil tensile strength evaluation result.

Aspects of the present disclosure relate to a UE, a base station, a processor, a method, and a computer readable medium for enhanced loose measurement. In one aspect, a UE receives, from a base station, a first configuration for loose measurement evaluation and a second configuration for neighbor cell measurement, where the second configuration includes an indication associated with a neighbor cell measurement trigger or a supplemental configuration for loose measurement evaluation. The UE performs a loose measurement evaluation based on the first configuration and the second configuration. In this manner, the UE may avoid unnecessary evaluation and may ensure accurate evaluation of loose measurements taking into account network characteristics.

The invention discloses an assembly height measurement and evaluation method and system, electronic equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining a signal curve graph representing a screw assembly time sequence signal, and carrying out the multi-dimensional feature extraction to obtain a first multi-dimensional feature; a pre-trained first model is utilized, a first height prediction value of the screw is predicted according to the first multi-dimensional features, and the first model comprises two different basic models used for predicting the first multi-dimensional features and a meta-model used for predicting according to prediction results of the two different basic models; in response to the fact that the first height prediction value is not matched with a preset target height value, it is determined that the assembly height of the screw is abnormal, and a preset correction instruction is output to correct the screw assembly parameter of the next screw; and in response to matching of the first height prediction value and a preset target height value, determining that the assembly height of the screw is qualified. According to the invention, the accuracy of measuring and evaluating the screw assembly height can be improved, and the cost is reduced.

The invention relates to the technical field of swallowing dysfunction measurement evaluation and training, and discloses a swallowing dysfunction measurement evaluation system and a training method. A closed-loop process from reference data acquisition, signal processing, swallowing event detection, energy ratio analysis, function evaluation to training feedback is constructed. According to the system, a skin microphone is attached to the side of the thyroid cartilage of the neck, swallowing signals of a healthy control and a patient are collected in a non-invasive mode, low-frequency noise is removed through polynomial drifting, a swallowing event is accurately positioned in combination with STFT and envelope extraction, low / high-frequency energy is extracted according to a frequency boundary, and the energy ratio is calculated; and carrying out standard normal score calculation and function grading. A personalized training target is set through a reference template, and a patient completes periodic training according to rhythm and performs self-test evaluation.

The invention discloses a target material monitoring method and system based on multi-source data and life prediction, and relates to the technical field of target material monitoring. Dependence of vulnerable physical reference hardware is eliminated through dynamic self-calibration, the maintenance cost is reduced, meanwhile, the long-term stability and reliability of the measurement process are built, and continuous and credible basic data are provided for follow-up analysis; the limitation of single sensing is broken through from the principle level by means of multi-sensor data fusion, comprehensive coverage of target material state information is achieved, the evaluation result is more accurate, the dimension is more complete, and the misjudgment risk of single data is avoided; passive measurement is upgraded into active prospective decision through intelligent analysis and life prediction, sufficient adjustment windows are reserved for production by means of life prediction, and finally the linkage effect of maximization of the target use efficiency, few interruption of the production process and precise optimization of technological parameters is achieved; and the intelligent level and the operation benefit of the production system are improved from the whole links of measurement, evaluation and decision making.

This invention belongs to the field of power quality measurement technology, specifically disclosing a harmonic measurement and evaluation method and system based on time-domain statistics. The method includes: acquiring the time-domain waveform signal of the power signal containing harmonic information for each sliding window; calculating the single-window harmonic energy variance index using statistical calculation methods; grouping the discretized single-window harmonic energy variance index according to the required frequency resolution; determining whether each group of data exhibits a centrally symmetrical distribution within acceptable error limits; if so, calculating the harmonic energy variance index for harmonic distortion evaluation with a preset period length; and establishing the correspondence between the harmonic energy variance index and the total harmonic distortion rate index, thereby intuitively evaluating the harmonic distortion of the power system. This invention enables lightweight data calculation, improves data processing efficiency, and can meet the needs of online monitoring to a certain extent.