327 results about "Single measurement" patented technology

The invention discloses a radiator micro-channel structure integrity detection method based on acoustic measurement, and relates to the technical field of information, the method couples acoustic propagation measurement with density inversion and particle transport observation, firstly screens a key observation object according to density gradient change, and then constructs a hydrodynamic equilibrium graph by using auxiliary particle flow, and finally obtains the structural integrity of the radiator micro-channel. And channel-by-channel difference is carried out with reflection measurement of standard acquired data, so that defects are indicated by three domains of energy, time and space together. According to the closed-loop link, the sensitivity to tiny blockage, slight deformation and early crosstalk is remarkably improved, the false alarm rate that single measurement is easily influenced by noise and working condition fluctuation is reduced, fine positioning of channel-level abnormal positions and ranges is achieved, and the closed-loop link is suitable for high-resolution detection of dense micro-channel arrays without disassembly or destructive operation.

The invention discloses a traveling wave fault location improvement method for power distribution network fault location analysis, relates to the technical field of power distribution networks, and solves the problems that a traditional single wave velocity model causes location deviation, and particularly, false fault points are easily generated at the joint of a cable and an overhead line due to refraction and reflection. And calculating an amplitude difference mean value under different translation amounts, automatically identifying an optimal time alignment point, and locking an association time difference t1. According to the process, time errors caused by signal distortion, asynchronous sampling and the like can be effectively corrected, the time difference precision is improved from the microsecond level to the nanosecond level, a foundation is laid for follow-up precise positioning, a plurality of correlation points are randomly selected in a locked range interval, a corrected waveform is constructed based on the attenuation proportion and repeated verification is carried out, and the time difference precision is improved. Screening an optimal solution through a feature mean value minimization algorithm; the mechanism can effectively inhibit the error of a single measuring point, and improves the robustness of a positioning result through the statistical average effect.

The invention discloses an airborne radar ground moving target stable tracking method, and belongs to the technical field of avionics, and the method comprises the following steps: S1, obtaining and fusing multi-modal measurement data; s2, clutter suppression and pretreatment; s3, target state estimation; s4, data association and track repair; s5, group target collaborative tracking; and S6, outputting a tracking result. According to the airborne radar ground moving target stable tracking method, multi-mode fusion and track adhesion are used for supplementing a single measurement short plate and repairing a broken track; by means of clutter map and optimization filtering strong clutter suppression, the state precision is improved; the multi-target tracking is optimized by using the graph model and the group target modeling, the complexity is reduced, the prior is fused, and the tracking stability of the complex scene is enhanced.

The invention discloses a wafer polishing laser interference closed-loop pressure control method, and relates to the technical field of semiconductor manufacturing, and the method comprises the following steps: S1, triggering an automatic measurement program after a ceramic plate and a wafer are overturned; s2, driving a laser interference measuring head to perform non-contact scanning on T2 / T4 point positions of the wafer through a six-axis mechanical arm positioning system to obtain thickness distribution data; s3, fitting the thickness distribution data by adopting a Zernike polynomial to generate a three-dimensional distribution diagram, and calculating a pressure correction amount based on a process dynamic model and a pressure prediction model constructed by a support vector machine regression algorithm; s4, detecting a data outlier in real time through an exception handling module, and triggering an equipment protection strategy when the deviation exceeds a set threshold value; and S5, a pressure control instruction is transmitted to the polishing head through the PROFINET bus by means of the PLC. Through non-contact laser interference measurement, the laser interference technology is applied to thickness detection of the polished wafer for the first time, the single measurement time is shorter than 20 seconds, and the detection efficiency is remarkably improved.

The invention discloses an intelligent risk assessment method and system for disease detection, and the method comprises the steps: delimiting a normal fluctuation interval based on the steady state of an individual through collecting the historical physiological measurement values of the individual, extracting daily activity characteristics through combining behavior data, and distributing an initial risk weight according to a preset proportion; and continuously comparing the current physiological index with an individual normal fluctuation interval by accessing a real-time data stream, and screening unexplained abnormal signals in combination with environmental parameters. The method gets rid of dependence on a general standard and single measurement, and can identify an abnormal trend deviating from a self steady state when a physiological index does not break through a general medical threshold value by utilizing individualized baseline and multi-source data fusion. By establishing a dynamic reference system and a context screening mechanism, the system can start a risk assessment process at the initial stage of an abnormal trend, so that the timeliness and pertinence of early warning are remarkably improved, and early capture of potential health risks is realized.

The invention relates to an aspheric wavefront detection device and method based on multi-direction orthogonal lateral shear interference. The device is composed of a laser, a linear polarizer, a light splitting element, a reflector array, a two-dimensional orthogonal grating array, a light splitting system, a polarization phase shifting element and a CMOS camera. The method comprises the following steps: firstly, an antisymmetric continuation method is included, secondly, dynamic phase recovery and distortion compensation are adopted, Zernike polynomial local fitting is introduced, and self-adaptive compensation is carried out on high-order aberration (such as coma aberration and trefoil aberration) of an aspheric surface edge region. According to the method, the multi-direction orthogonal lateral shearing interferogram can be obtained through single measurement, and a high-precision, high-efficiency and high-robustness solution is provided for precise detection of the aspheric optical element through cooperation of an algorithm and hardware. The method is suitable for high-precision phase recovery in the fields of optical detection, microscopic imaging and the like, and is suitable for high-precision dynamic detection of complex optical elements such as off-axis aspheric surfaces, free-form surfaces and the like.

The invention relates to the technical field of power transmission and distribution safety, in particular to an electric power engineering safety fence fault diagnosis method and system, and the method comprises the steps: collecting a break-over voltage and a disturbance direction to construct a time sequence model, recognizing disturbance factors, screening stacked sections, extracting boundary disturbance features, and recognizing a resistance burst response. And fault diagnosis areas are divided by combining disturbance intensity analysis. According to the method, through multi-time-sequence acquisition of the conduction voltage and the disturbance direction, establishment of evolution modeling of the disturbance trend term, identification of the disturbance factor group and capture of the micro-disturbance change of the fence node in different time periods, the early-stage trend of fault occurrence is effectively described, and the limitation of dependence on single-time measurement is broken through. On the basis, the recognition process of the disturbance stacking section is combined with periodic accumulation and amplitude superposition of disturbance density, and the coverage capacity of the potential high-incidence area of the fault is improved. Furthermore, boundary disturbance behavior characteristics are extracted from an active graph constructed through periodic signals, and boundary trend capture of perturbation distribution is achieved.

The invention discloses an axial force synchronous monitoring system and monitoring method for a composite anchor cable, and the system can synchronously monitor the change of the axial force of an anchor cable center wire and a steel edge wire through two measurement modes in a manner that a fiber grating sensor is arranged in the anchor cable CFRP center wire and a resistance strain gauge is arranged on the steel edge wire, thereby achieving the synchronous monitoring of the axial force of the anchor cable center wire and the steel edge wire. The problem that data of a single axial force measurement mode is not accurate enough is solved, the two measurement modes are carried out independently and do not affect each other, if a single measurement mode breaks down, the other measurement mode is not affected, and the more stable and long-acting anchor cable axial force monitoring requirement can be met; the bridge box and the strain gauges form a temperature compensation circuit through the strain connecting lines, the influence that the resistance of the strain connecting lines changes along with the temperature when the strain gauges are used for monitoring for a long time is effectively eliminated, the bridge box and the ground are connected through the ground wire, the influence of an interference electric field in the strain gauge measurement process is eliminated, and the accuracy of anchor cable axial force measurement data is guaranteed.

The invention discloses a dispenser height measurement method, a warping correction method, a dispenser and a storage medium, and relates to the field of dispensers. Controlling the carrying platform to drive the substrate to move, starting the laser transmitter to roughly measure the substrate, and obtaining initial point cloud data of the surface of the substrate; performing accuracy judgment on the initial point cloud data, determining material characteristics of the substrate according to a judgment result, and selecting a target height measurement mode; when a mixed height measurement mode is selected, identifying an abnormal key point and a target area of the initial point cloud data, and switching to a probe height measurement mode to perform fine measurement on the target area to obtain secondary point cloud data; the abnormal key points comprise intensity abrupt change points and boundary positions of the substrate; and carrying out point cloud processing fusion based on the initial point cloud data and the secondary point cloud data to generate a high-precision 3D morphology graph. According to the scheme, high-precision height measurement of substrates made of different materials is realized. The mixed height measurement mode overcomes the limitation of a single measurement mode, and improves the adaptability of the dispenser to various substrates.

The invention discloses a water-land integrated all-terrain DEM surveying method and system based on UAV-USV-GIS, and belongs to the field of terrain surveying. The method comprises the steps of determining a research area range, planning an unmanned aerial vehicle route, and laying image control points; performing aerial survey on the planned route by using an unmanned aerial vehicle to obtain ground point cloud data and images, and respectively processing the ground point cloud data and images into a land DEM and an orthoimage; the boundaries of the subsidence water area are extracted through the orthoimages, the measurement route of the unmanned ship is planned, and underwater topographic data are measured; processing the underwater topographic data, generating a water area DEM, uniformly selecting inspection points by using RTK and sounding equipment to carry out sampling measurement on the underwater elevation, and verifying the accuracy of the water area DEM underwater topographic data; and fusing the land DEM and the water area DEM to generate a complete water-land integrated all-terrain DEM. The technical bottlenecks that the efficiency is low, the data at the junction of water and land is not accurate, and only the elevation data of a single area of the land or the water can be obtained in the subsidence water area terrain modeling by a traditional single measurement means are effectively solved.

The invention provides an optical thin film surface defect detection system which is particularly suitable for optical thin film, wafer and sensor detection. The system integrates an illumination module, a confocal positioning module, a differential microscopic interference module, a phase shift module, an imaging module and a data processing module. A double-light-path imaging mode is adopted, wherein a differential interference microscopic light path recorded by a CCD and a microscopic dark field imaging light path are adopted. The differential interference microscopic light path obtains the microstructure and phase distribution information of the surface of the thin film with high sensitivity by using interference and phase shift technologies; the microscopic dark field imaging light path highlights film surface defects, particles and micro-nano structure characteristics by enhancing surface scattering signals. The device has the characteristics of simple structure, large single measurement range, high resolution, excellent precision and the like, effectively overcomes the defects of three-dimensional information loss, low efficiency, narrow application range, difficulty in positioning and the like in the traditional technology, and remarkably improves the detection efficiency and applicability.

The invention relates to the technical field of special optical fibers, and discloses a high-sensitivity methane and temperature double-parameter detection PCF sensor based on an SPR effect. The sensor adopts a germanium-doped silicon dioxide photonic crystal fiber with a periodic air hole microstructure as a core element, and D-shaped polished surfaces are symmetrically arranged on the outer side of the fiber. A gold film and a functional material layer are respectively deposited on polished surfaces on two sides, one side is a Cryptophane-A methane sensitive film, the other side is a PDMS temperature sensitive material, and a two-parameter independent detection channel is constructed. After the design is optimized, the methane detection range is 0-3.5%, and the highest sensitivity can reach 68nm / %; the temperature detection range is 25-120 DEG C, and the maximum temperature sensitivity is 16 nm / DEG C. According to the invention, the SPR technology, the gas sensitive effect of the methane sensitive material and the thermo-optic effect of the temperature sensitive material are combined, so that high-precision synchronous detection of two parameters is realized. The sensor overcomes the defect of single measurement of a traditional optical fiber sensor, has the advantages of electromagnetic interference resistance, simple structure, high sensitivity, multi-parameter synchronous detection and the like, and is suitable for complex environments such as underground coal mines and the like.

The invention belongs to the field of fluorescence monitoring, and particularly relates to a preparation method of a fluorescent probe for monitoring chloride ions in a cement base and detection equipment, and the preparation method comprises preparation of sodium alginate fluorescent nanoparticles, preparation of a cellulose acetate membrane solution and preparation of the fluorescent probe. The prepared sensor is excellent in performance, the detection range of chloride ions in a cement matrix reaches 0.001-0.3 M, the average measurement error is only 1.4%, the single measurement error is smaller than or equal to 3%, the single measurement time is only 6 seconds, and in-situ, rapid and high-precision monitoring of the chloride ions is achieved. The invention provides an effective new technical means for concrete structure durability monitoring, and has important engineering application value.

The invention discloses an experimental measurement method for simultaneously measuring dynamic caustic and DIC, and compared with an existing traditional measurement technology, the method for simultaneously measuring the dynamic caustic and the DIC is remarkably improved. In traditional measurement, a single experimental method often has a large error range, and the requirements of high precision and high reliability are difficult to consider. By introducing data fusion of the two systems, the method effectively makes up for the defects of a single measurement technology, and provides more accurate and reliable experimental data. Repeated calculation and fine analysis of each step enable the final measurement result to be greatly optimized, particularly in the measurement of object deformation, fine changes can be better captured, and the influence of external interference is reduced. The novel experimental measurement method not only improves the precision of the experimental result, but also enhances the controllability and flexibility of the measurement process, significantly improves the accuracy of mechanical properties and deformation analysis, and promotes the development of the modern experimental technology.

The invention discloses a civil construction intelligent management and control method and system based on the Internet of Things, and relates to the technical field of buildings, through selecting a to-be-tracked reference point set on site and constructing a drift record sequence and a static credible domain, the time continuity stability of reference points in the construction process can be quantified in real time, and the construction efficiency is improved. And the omission of early drift symptom in single measurement is avoided. The validity of the reference point is judged in combination with the static credible domain, and an error propagation command is triggered through a drift trend, so that the system can intervene and dynamically correct an effective point set and the credible domain when the error is still in an early stage, deviation accumulation and upward propagation are prevented, and the risk of staggered layers of the whole structure is reduced. And constructing a full-field error vector field by utilizing clustering analysis, identifying a high-risk area and a high-risk offset component, and uploading the high-risk area and the high-risk offset component to a construction main control system to generate a retest and re-setting-out task, so that automatic identification and priority correction of the risk component are realized.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The present disclosure relates to a wireless communication system and, more particularly, to a method and a device capable of performing same, in which a terminal: transmits, to a base station, first capability information including a first indicator indicating that the terminal is capable of receiving and applying radio resource control (RRC) signaling in which multiple pieces of reporting configuration information may be mapped to a single measurement ID; receives, from the base station, a first RRC message including first configuration information in which multiple pieces of reporting configuration information are mapped to a single measurement ID; determines whether multiple reporting conditions corresponding to the multiple pieces of reporting configuration information are satisfied; and transmits a measurement report message to the base station if it is determined that the multiple reporting conditions are satisfied.

The invention discloses a power distribution network fault type diagnosis and section positioning method and equipment, and the method comprises the steps: selecting eight-channel waveforms of a single measurement point of a fault line: three-phase zero-sequence voltage, zero-sequence voltage, three-phase current and zero-sequence current as research and judgment waveforms; based on a fault waveform data set and a batch simulation waveform data set collected by an actual line, a waveform data set with high quality, wide coverage scene and balanced type distribution is generated through a conditional generative adversarial network; each channel of waveform of the fault waveform is subjected to classification complete set normalization, feature region interception and field transformation dimension expansion to form a two-dimensional field matrix, eight groups of two-dimensional matrixes are preprocessed to form eight-channel two-dimensional matrix tensors, and a model training set is formed in combination with fault types and fault section labels; according to the invention, classified identification of the fault type and the fault section of the fault waveform is realized; according to the method, troubleshooting can be accelerated, the power supply reliability of the power distribution network is improved, and technical support is provided for grounding fault diagnosis completely depending on data driving.

The invention relates to the technical field of mine safety monitoring, in particular to a coal mine tunnel deformation real-time monitoring device and system. The technical problems that in the working process of a traditional roadway monitoring technology in a geological structure complex area, data processing delay is large, and the best intervention opportunity may be missed due to data lag in the traditional technology are solved. According to the technical scheme, the real-time monitoring device and system for deformation of the coal mine tunnel comprise a fixed distance measuring unit, a reflection target array and a displacement calculation unit, the displacement calculation unit is used for obtaining original distance data from each laser distance measuring sensor to a corresponding reflection target in real time, and the original distance data is calculated through difference calculation between the original distance data and a preset reference distance. The real-time displacement variable quantity of each key deformation monitoring position is directly output, and the displacement variable quantity is directly used as a monitoring index of roadway deformation; according to the invention, through the direct correspondence between laser ranging and the reflection target, the scanning and three-dimensional reconstruction process in the traditional technology is abandoned, the single measurement period is shortened, and the real-time capture requirement of catastrophe precursor is met.

The invention relates to the technical field of laser measurement, in particular to a laser interference surface shape measurement method based on a calibration plate, a medium, equipment and a system. Comprising the following steps: attaching a reflecting mirror to a reference mirror, and obtaining reflecting surface shape data of the reflecting mirror; the calibration glass plate is tightly clamped between the reflector and the reference mirror, and light facing surface reflection surface shape data and mixed transmission surface shape data of the calibration glass plate are obtained; removing the reflector, moving the calibration glass plate to a preset measurement distance along a laser optical axis, carrying out multi-surface synchronous measurement through a laser interferometer, and respectively obtaining light facing surface mixed reflection surface shape data and to-be-measured surface shape mixed data; and obtaining target surface shape data of the surface to be measured. According to the invention, the movable calibration glass plate is introduced to establish a double-reference measurement system, so that the space calibration of the airflow disturbance error can be realized. The device is simple in structure and low in measurement environment requirement. Interference of air turbulent flow can be eliminated only through single-time measurement, and the measurement time is saved.

The invention relates to the technical field of instrument error monitoring, and discloses an environment monitoring instrument tendency error analysis system which comprises a multi-dimensional acquisition module and an intelligent analysis module. According to the tendentiousness error analysis system for the temperature-salinity-depth instrument, conductivity data, temperature data and water depth data of a measured water body are obtained through a multi-dimensional acquisition module and classified to form a data set, an intelligent analysis module analyzes time differences among different physical parameters, generates a time difference data set, analyzes fluctuation ranges of the different physical parameters, generates a fluctuation data set, and analyzes the tendentiousness error of the temperature-salinity-depth instrument. The intelligent analysis module analyzes the authenticity of each measurement result, generates a credibility index, dynamically evaluates the credibility of single measurement, can adapt to the monitoring requirements of more complex environments, accurately diagnoses error sources, sets a threshold value of a fixed range, and can accurately diagnose the error sources; the influence factors causing the tendency error of the thermohaline depth gauge and the authenticity of the measurement result are evaluated, corresponding management suggestions are output, and the automatic operation and maintenance support practicability is high.

The invention discloses a lunar dust interference effect test platform suitable for a vacuum environment and a use method of the lunar dust interference effect test platform, and relates to the technical field of aerospace engineering ground simulation tests.The platform comprises a vacuum container system, a measuring system and a dustproof system; maintaining the normal-pressure and normal-temperature working state of the camera; the measurement system integrates a P IV camera, three high-speed cameras and a heat flow sensor, and realizes the multi-dimensional measurement of the moony dust excitation height / speed / impact range, the erosion pit three-dimensional reconstruction and the engine aerodynamic heat effect. The dustproof system adopts a high-transmittance acrylic dustproof cover and a vacuum gauge for differential pressure monitoring, so that lunar dust is prevented from polluting the heat sink, and the safety of the cover body is protected. The problems of pollution and single measurement of a vacuum system in the prior art are solved, multi-physical-quantity collaborative testing is achieved, key test data are provided for design of the lunar lander, and the method has engineering application value.

The invention relates to the technical field of steel slag asphalt material detection, in particular to an RAP-steel slag emulsified asphalt cold-recycled mixture expansion rate detection method, which comprises the following steps: firstly, curing a prepared RAP-steel slag emulsified asphalt cold-recycled mixture Marshall test piece, and in the curing process, enabling a resistance strain gauge adhered to the test piece to deform so as to detect the expansion rate of the RAP-steel slag emulsified asphalt cold-recycled mixture. The resistance value is changed; then, calculating a strain value according to the working principle of a resistance strain gauge, and analyzing the expansion strain condition of the test piece at the position; and finally, accurately and efficiently detecting the expansion rate of the RAP-steel slag emulsified asphalt cold recycled mixture according to the calculated strain values at different positions. The method for detecting the expansion rate of the RAP-steel slag emulsified asphalt cold recycled mixture solves the problems that measurement positions of a vernier caliper are different before and after a test piece is soaked in water and measurement is inaccurate due to the fact that water intrudes into a dial indicator in the maintenance process, overcomes the defect of single measurement of soaking expansion, and has the characteristics of high precision, real-time detection and multi-latitude measurement.

The invention belongs to the technical field of non-magnetic material nondestructive testing, and discloses a non-ferromagnetic material thickness and conductivity synchronous measurement method based on eddy current phase characteristics, and the method comprises the specific steps: S1, estimating the conductivity and thickness range of a to-be-tested piece based on data such as a product specification or an industrial standard; s2, determining excitation frequency according to a frequency selection criterion (high frequency enables the skin effect depth to be smaller than 1 / 3 of the thickness, and low frequency enables the skin effect depth to be larger than two times of the thickness of the sample); s3, an eddy current method is adopted to obtain the impedance variable quantity phase of the to-be-measured non-ferromagnetic material; and S4, substituting the phases into corresponding simplified model formulas respectively, and obtaining the conductivity and the thickness at the same time. Aiming at the problems of multiple calibration, blindness in excitation frequency selection, low single-parameter measurement efficiency and the like in conductivity or thickness measurement by an existing eddy current method, double-parameter output of single measurement is realized, multiple calibration and inversion calculation are not needed, the calculation is simple, rapid and accurate, the hardware cost is low, and the applicability is wide.

According to the optical fiber device for detecting the three-dimensional shape, scattering points are inscribed on a cladding of a single-mode optical fiber, the number of projections of the scattering points on the end face of the single-mode optical fiber is at least two, the scattering points corresponding to each projection form a group, each group comprises at least two scattering points, and the scattering points in each group and the scattering points in other groups are arranged in a staggered mode. By detecting the energy change of each scattering point and calculating the curvature component of the optical fiber, high-precision measurement of the bending state of the optical fiber can be realized, and meanwhile, the two-dimensional bending state of a single point is reflected by utilizing the scattering points which are distributed in multiple directions in the radial direction, and the three-dimensional bending state along the optical fiber is obtained by combining the scattering points which are distributed in the axial direction of the optical fiber in a staggered manner. According to the invention, the measurement of the three-dimensional shape is completed only by using a single-channel sensing signal measured in one optical fiber at a time, so that the size of an optical fiber shape measurement device and the complexity of signal measurement are greatly reduced.

The invention relates to the technical field of aeronautical manufacturing, solves the technical problems that single measurement equipment is generally limited in measurement range, insufficient in capability of capturing details of a complex curved surface and susceptible to environmental factors, and particularly relates to a three-dimensional measurement method and device for the overall shape of a large aircraft based on multi-component collaboration. Comprising the following steps: acquiring contour point clouds and carrying out registration to obtain local contour point clouds of a whole machine under different local visual angles; and registering the local contour point clouds and constructing a sparse pose map, and registering the local contour point clouds acquired under different local view angles based on the sparse pose map to generate a complete overall contour point cloud of the large aircraft. According to the invention, the high-precision local point cloud data of the aircraft acquired by the measuring device can be registered, and the point cloud data of the surface of the large aircraft can be fully automatically generated, so that the high-precision and high-efficiency measurement of the large-size complex appearance can be realized, and the manufacturing and assembling quality of the aircraft can be further improved.

The invention belongs to the technical field of laser measurement equipment, and relates to a three-dimensional laser scanner, which is characterized in that a transparent carrying disc is driven by an electromagnet to suspend in a magnetic field of an annular permanent magnet, and a laser beam is reflected by a 45-degree inclined reflector to vertically penetrate through the carrying disc so as to realize synchronous acquisition of bottom data of a measured piece. Meanwhile, the equipment carries a self-adaptive magnetic adjustment unit, automatically compensates the electromagnetic field intensity according to the pressure of the carrying disc, maintains a stable suspension height, and cooperates with a light absorption coating at the edge of the carrying disc to eliminate stray light interference. According to the non-contact scanning equipment, vibration errors of a traditional rotary table are avoided, omnibearing three-dimensional data acquisition can be completed through single measurement, and the measurement efficiency and the data precision are remarkably improved.

The invention discloses a correction method for improving grinding eddy current fixed-size thickness CPK capability, and particularly relates to the technical field of information, and the method comprises the following steps: S1, real-time thickness measurement and noise suppression; s2, multi-level deviation interval judgment; s3, dynamic compensation amount calculation; s4, closed-loop feedback control is carried out; s5, carrying out online thickness verification and exception processing; and S6, performing adaptive learning optimization. According to the method, the thickness deviation is measured in real time, the interval is divided, the input value is adjusted in combination with the gradient increasing rule, accumulation of single-time measurement errors is effectively restrained, a closed-loop feedback control system quickly responds to deviation changes, the grinding pressure and the rotating speed are dynamically adjusted, the thickness fluctuation standard deviation is reduced to be smaller than + / -0.8 micrometers, and compared with a traditional fixed parameter method, the method has the advantage that the method is more accurate. The CPK value is increased by 30%-50%, the process consistency is remarkably enhanced, and the method is suitable for high-precision scenes such as semiconductor silicon wafers and the like.

The invention relates to a tunnel special-shaped crossed traverse measurement method, which relates to the field of tunnel construction, and comprises the following steps: S1, in a tunnel clearance area, multiple pairs of measurement points are sequentially arranged along the depth direction of a tunnel, and the multiple pairs of measurement points are sequentially distributed on the L side and the R side of the tunnel in a staggered manner; the measuring point positions comprise two single measuring points which are arranged in sequence; s3, additionally measuring the distance between short sides P and P: in three adjacent pairs of measurement points, respectively taking P and P as base points, and measuring first angle observation values and first side length observation values of P (-), P (-), P (+) and P (+); and S4, calculating a second angle observation value and a second side length observation value between the two single measurement points in each pair of measurement points according to the angle observation values and the side length observation values of the two single measurement points in each pair of measurement points in the step S3. The method has the effect of improving the measurement precision.

The invention discloses an image-based suspension bridge surface anomaly measurement method and measurement system, and relates to the technical field of optical measurement and image processing. The method comprises the following steps: projecting a first polarization grating and a second polarization grating with mutually orthogonal polarization directions to a to-be-measured area of the suspension bridge in a time-sharing manner; polarization information of reflected light is collected by adopting a polarization state imaging unit, and corresponding first and second Moire phase diagrams are generated. The data processing unit further performs double-path parallel processing on the two Moire phase diagrams: on one hand, a two-dimensional inclined field representing the macroscopic contour of an object is solved through a joint solution algorithm; and on the other hand, through differential operation, microscopic optical anisotropy abnormal points caused by material stress, damage and the like are identified and positioned by utilizing symmetrical response of the optical isotropic surface to the orthogonal grating. The method realizes synchronous decoupling of geometric and physical characteristics from a single data source through one-time measurement, has the advantages of non-contact and high efficiency, and is suitable for precise detection of large-scale structures such as a suspension bridge and the like.

The application discloses a kind of automatic monitoring device and method of tree trunk radial growth, it is related to measurement technical field, device includes: electric rotating platform, laser ranging sensor, data processing equipment and support platform;Electric rotating platform drives laser ranging sensor to rotate a week, and laser ranging sensor determines the distance of all sheltering objects to sensor in real time;Data processing equipment receives the real-time ranging data sent by laser ranging sensor;After measuring a circle, the ranging data of current ranging data set is clustered, and a plurality of ranging data clusters are obtained;Right-angle coordinate modeling and circle fitting are carried out on each ranging data cluster, to determine the position and diameter of each tree trunk;Through the diameter of tree trunk obtained by continuous measurement at different times, the radial growth rate of tree trunk is calculated. By implementing the present application, the growth rate of multiple tree trunks can be measured automatically in a non-contact form, solving the problem of contact measurement affecting tree growth and only single measurement in the prior art.