53results about How to "Avoid subjective error" patented technology

The invention relates to a steel bar reverse bending test device, and belongs to the field of steel bar detection devices. The device comprises a rack and a workbench rotationally arranged on the rack. A supporting shaft is arranged on the rack; the supporting shaft penetrates through the workbench upwards and is coaxial with the workbench. A plurality of mounting holes are formed in the workbench; a bending block is inserted into any mounting hole; a working plate is arranged on the rack in the vertical direction in a sliding mode. A sliding rail is arranged on the working plate; scale marks are arranged in the length direction of the sliding rail. A first supporting piece is slidably arranged on the sliding rail. A first through hole is formed in the first supporting piece; a second supporting piece is arranged on the working plate; a second through hole is formed in the second supporting piece; the steel bars sequentially penetrate through the first through holes and the second through holes. A first image sensor is arranged on the rack; the method has the technical effects of avoiding manual calculation of the steel bar bending angle and improving the steel bar detection precision.

The invention discloses a full-process visual monitoring and intelligent management method for a glass bracket production line, and relates to the technical field of industrial quality control, and the method comprises the steps: carrying out the continuous image collection of all stations of the glass bracket production line through an image collection unit, and constructing a full-process image data sequence; detecting the size of the glass bracket by using the qualified glass bracket size image database, and judging whether the size is abnormal or not; further performing defect detection on the glass bracket with the normal size, and determining whether an abnormal defect exists or not through pixel value difference analysis; and finally, summarizing the glass brackets with abnormal sizes or defects and related information thereof, and generating a visual quality report, so as to quickly position problems and optimize the production process. The comprehensive monitoring and intelligent management of the glass bracket production process are realized, and the production efficiency and the product quality are improved.

The application discloses a quality detection system and method for glue injection laser profile, and belongs to the technical field of quality detection. The system comprises the following steps: obtaining a reflected point cloud signal of a glue injection finished product, constructing a point cloud data stream, setting an image reconstruction method, constructing a glue layer three-dimensional model, synchronously generating a pseudo-color gray scale image, and realizing visual representation of the surface texture of the glue layer; constructing a three-layer feature extractor, setting a quality preliminary judgment method, cross-layer fusing features of different scales, solving the missed detection problem of traditional single feature detection on complex defects, automatically identifying basic defects, and outputting a quality preliminary judgment result; judging defects of the glue injection finished product that does not meet the preliminary judgment, setting a defect detailed judgment method, voxel-level segmenting a three-dimensional image, calculating features of the defects, and judging whether the defects affect the use performance of the product, so as to generate a detailed judgment result, realize accurate positioning of complex defects, and improve the defect type recognition accuracy.

This utility model relates to a mechanical comparator suitable for bearing testing, comprising a housing, a first positioning block fixedly mounted on the top of the housing by a first bolt and a second bolt, and a base plate fixedly connected to the bottom of the housing; an adjusting block fixedly mounted inside the housing, the adjusting block being connected to a first guide post, the first guide post being fitted with a first guide sleeve; the adjusting block being connected to a second guide post, the second guide post being fitted with a second guide sleeve; a fixing block being mounted on the upper end of the first and second guide posts; and a second positioning block being connected to the fixing block; the inner diameters of both the first and second positioning blocks are matched to the bearing assembly to be tested; an adjustment device is mounted on the base plate for adjusting the gap between the fixing block and the adjusting block. Thus, the inner holes of the first and second positioning blocks precisely match the outer ring of the bearing to be tested, and with the coaxiality control of the mandrel and measuring ring, the bearing is ensured to be subjected to uniform force, avoiding subjective errors caused by reliance on worker experience in traditional dial indicator testing.

The invention discloses a road roller autonomous operation path tracking control method, system and device and a storage medium. The method comprises the steps that the current position, posture, motion state and environment sensing data of a road roller are collected through a multi-sensor assembly; calculating a distance deviation and an angle deviation between the road roller and the preset path according to the preset operation path and the current position; based on the distance deviation and the angle deviation, a steering control instruction is generated through an algorithm combining feedforward control and PID feedback control; according to the residual operation path distance and the preset total operation time, generating a speed control instruction by adopting a trapezoidal speed planning algorithm; the steering control instruction and the speed control instruction are cooperatively adapted through a coordination control mechanism; the sensor data validity, the system operation state and the operation environment safety are monitored in real time, and safety protection measures are triggered when preset abnormal conditions are met. According to the invention, high-precision path tracking, forward and backward adaptive control, steering speed coordination and multi-layer safety guarantee can be realized.

The application discloses a kind of wind power main shaft front axle sleeve camber detection equipment, it is related to wind power main shaft detection technical field, including detection base, the side of detection base is connected with portal frame in bearing frame;Gear disc is mounted in the inside of suspension plate in bearing frame, the both sides of gear disc are provided with input rotating lever and output rotating lever, and input rotating lever and output rotating lever are driven and cooperated by gear mechanism, and the one end of output rotation is equipped with inner curvature detection rod, and the both ends of inner curvature detection rod are equipped with first and second camber measuring instrument;The side of bearing frame is equipped with first and second outer curvature detection rod;The side of portal frame is equipped with load beam, and load beam is equipped with support mechanism.The application is further eliminated manual operation risk by being equipped with support mechanism and curvature detection structure, simultaneously, precise gear transmission and the arrangement structure of multiple measuring instrument are utilized, can realize inner and outer camber accurate measurement, and with mechanical automation replaces manual operation, so that detection process is safe, accurate, efficient.

The application discloses a tunnel construction process automatic monitoring method, and belongs to the technical field of tunnel engineering construction monitoring. The method comprises the following steps: step 1, automatic monitoring equipment is arranged at key positions of a tunnel opening area, an advanced support section, an excavation face, an initial support structure, a waterproof layer construction area and a secondary lining structure; step 2, each automatic monitoring equipment is started, and monitoring data is collected at a preset sampling frequency; step 3, after receiving the monitoring data, a central monitoring platform uses a big data analysis algorithm to deeply process the monitoring data; and step 4, the central monitoring platform feeds back monitoring results and early warning information after analysis to a tunnel construction control system in real time. The application realizes real-time data acquisition and analysis through 5G technology, especially the UWB positioning system collects data once per second, realizes instant acquisition and analysis of monitoring data, and compared with traditional manual monitoring, the data update frequency is improved by tens of times, and abnormal conditions in the construction process can be found in time.

The application discloses an automatic counting method for the egg-laying quantity or hatching rate of Spodoptera exigua. The method comprises the following steps: collecting a multilayer focal plane image sequence of an egg mass, constructing a height field model of the egg mass, dividing egg grains into different physical layers based on the spatial position relationship in the vertical direction, and respectively counting the number of each layer. The method also introduces a shielding compensation calculation to correct the lower layer of the blocked egg grains, so as to accurately obtain the layered egg quantity data. The application solves the problem that the traditional two-dimensional image recognition cannot distinguish the hierarchy of the egg mass, which leads to a serious low count, realizes the accurate counting of the stacked egg mass, and provides a reliable technical means for entomological research and pest forecasting.

A novel automatic reset fixture, relating to the field of aging testing equipment technology, is used for aging testing of devices. From bottom to top, it includes a base plate, a PCB matching board, and a probe limiting plate capable of supporting the device. The PCB matching board has a number of auxiliary probes, and the probe limiting plate has through holes for the auxiliary probes to pass through. Fixture assemblies are respectively arranged on both sides of the PCB matching board. The fixture assemblies include a lower support plate, an upper pressure plate, a flipping plate, a lower pressure plate, two guide shafts, and two compression springs. This fixture is adapted to the automation, flexibility, and intelligent production needs of modern manufacturing, achieving an overall improvement in production quality, efficiency, safety, and control levels through technological optimization, providing reliable tooling support for the stable and efficient operation of the entire production process.

The application provides a pinhole degree detector and an automatic device, and relates to the technical field of detection. The pinhole degree detector comprises a detection box, and a flattening mechanism, a detection mechanism and a winding mechanism are sequentially arranged in the detection box along a preset direction. The winding mechanism is used for winding the material to be detected, so that the material to be detected moves along the preset direction. It can be understood that the preset direction here is the conveying direction of the material to be detected. On the moving path of the material to be detected, the flattening mechanism is used for flattening the material to be detected. The detection mechanism is used for acquiring pinhole information on the material to be detected. Based on this, the pinhole degree detector provided by the application does not need manual carrying and positioning of the material to be detected, greatly reduces the manual labor intensity, improves the production efficiency, avoids subjective errors and uncertainties caused by manual operation, and improves the accuracy and reliability of the detection structure.

This invention relates to a method, apparatus, and medium for rapid sorting of poultry meat percentage based on X-ray imaging. The method includes: Step S1: acquiring X-ray images of the poultry to be tested; Step S2: identifying the sternal region and skin boundary based on the X-ray image; Step S3: drawing a normal at the sternal apex, obtaining the intersection of the normal at the sternal apex and the skin boundary as the first surface point, and obtaining the initial bone-skin distance based on the distance from the sternal apex to the first surface point; Step S4: obtaining the angle between the X-ray machine's visual axis direction and the normal direction of the first surface point as the consistency difference angle, obtaining the sternal integrity ratio and sternal principal axis attitude angle based on the sternal region, and correcting the initial bone-skin distance based on the consistency difference angle, sternal integrity ratio, and sternal principal axis attitude angle to obtain the corrected bone-skin distance; Step S5: obtaining the meat percentage grading result based on the corrected bone-skin distance. Compared with the prior art, this invention can achieve poultry meat percentage sorting based on X-ray imaging.

The invention discloses an information processing method, device and equipment for RAIR interpretation and a medium, relates to the technical field of medical instruments, is applied to a computer device, and comprises the following steps: determining a resting pressure parameter and a pressure baseline value before gas injection based on a pressure cloud picture corresponding to an anorectum pressure measurement process; a target time interval is determined according to the actual gas injection starting moment corresponding to the pressure cloud picture, and the minimum pressure value of each channel in the pressure cloud picture is positioned in the target time interval; determining a pressure relaxation interval of each channel based on the baseline value and the minimum value, and quantifying the pressure response of the sphincter by using the resting pressure parameter and the pressure relaxation interval to obtain a target quantitative feature; the target quantitative features and the gas injection dosage corresponding to the anorectum pressure measuring process are input into the target classification model, the RAIR interpretation result of the anorectum pressure measuring process is output, and the interpretation result represents whether RAIR exists in the anorectum pressure measuring process or not. The reliability and efficiency of RAIR interpretation can be effectively improved.

The application discloses a composite material large-curvature skin shape detection device and a detection method, and belongs to the technical field of large-curvature skin shape detection. The composite material large-curvature skin shape detection device comprises a base, a supporting assembly is connected to the middle part of the top end of the base, first rectangular sliding grooves are formed in the two ends of the supporting assembly, and fixing assemblies are installed in the inner cavities of the first rectangular sliding grooves. Through the combination transmission mode of the rotating wheel, the rotating belt and the bevel gear, synchronous linkage operation of automatic centering clamping of the two ends of the skin and automatic pressing detection of the detection mechanism is realized, the overall structure of the equipment is greatly simplified, the arrangement of power components is reduced, the equipment failure rate and manufacturing cost are reduced, the timing of the clamping action and the detection action is highly unified, the problems of clamping out of position, detection deviation and mechanism interference are avoided, and the stability and automation degree of the detection process are significantly improved.

The invention provides a method for training the visual clue-dependent positioning reward capability of animals by using an animal behavior training and testing system, and the system realizes that one set of system covers multiple types of experiments through the opening and closing logic of an access door of an adjusting arm, the reward region reward putting rule and the free conversion of visual clues. A visual clue-reward association learning scene is constructed, and animals are guided to establish memory association between clues and reward positions. A three-stage visual clue navigation and memory ability testing method is established, the memory retention ability associated with clue rewards is evaluated in the association stage, the spatial memory ability is independently evaluated in the blank stage, and the regulation and control mechanism of visual clues on animal spatial memory is analyzed in the non-association stage.

The invention discloses an automatic transmission project quality inspection system and method based on BIM model guidance and unmanned aerial vehicle multi-modal data fusion, and aims to solve the problems of low efficiency, high risk and insufficient precision of traditional quality inspection. The method comprises the following steps: firstly, controlling an unmanned aerial vehicle carrying a laser radar and a camera to collect high-precision point clouds and images of a completion line, and fusing the high-precision point clouds and images into a completion live-action digital model; secondly, millimeter-level accurate registration is carried out on the real scene model and a BIM model serving as a design benchmark; the method comprises the following core steps: performing BIM-guided targeted analysis, namely, automatically delimiting a local three-dimensional region of interest (ROI) in a live-action model based on the design position and size of a component in the BIM, and only calling an AI model in the ROI to identify a component instance and judge the installation state of the component instance; and finally, quantitatively calculating the deviation between the identified component instance and the BIM design parameters, and generating a visual quality inspection report containing multi-view evidence. According to the method, through a targeted analysis strategy of locating according to pictures, the efficiency, the stability and the precision of automatic quality inspection are greatly improved, objective, quantitative and full-coverage inspection of the quality of the power transmission project is realized, and a foundation is laid for digital delivery and operation and maintenance.

This application relates to a standardized equivalent modeling method and apparatus for wind farms under fault conditions. The method includes: firstly grouping the wind turbines into groups based on their equivalent electrical distances to the grid connection point, resulting in a first turbine group; secondly grouping the wind turbines within each first turbine group into second turbine groups based on their wind speed and fault steady-state terminal voltage; and thirdly constructing an equivalent wind farm model for each second turbine group based on its corresponding equivalent turbine parameters and equivalent line parameters. The model is used to infer the current and voltage responses of the target turbines from the back-conversion boundary conditions. Knowing the electrical boundary conditions of the grid connection point allows for the inversion of the current and voltage responses of any target turbine within the group, which helps in identifying abnormal extreme values ​​in the simulation.

The utility model provides a dialysis tube air kettle positive pressure on-line detection device, which solves the problems of scrapping, waste, low efficiency and the like existing in a traditional bubble method, remarkably improves the product quality control level, the production efficiency and the safety, and comprises at least one group of positioning jacking components, at least one group of positioning jacking components, at least one group of positioning jacking components and at least one group of positioning jacking components, comprising a position sensor and a jacking driving part, the position sensor is used for identifying the air kettle reaching the detection station, and the jacking driving part is used for lifting the identified air kettle away from the conveying line to a preset detection height; the sealing butt joint assembly comprises a linear driver arranged in the lateral direction of the detection hole site and a sealing joint connected to the execution end of the linear driver, and the linear driver is used for driving the sealing joint to move in the horizontal direction so as to be inserted into a side wall interface of the lifted air kettle; the air pressure detection assembly is connected with the sealing connector through a pipeline, and the controller is in signal connection with the air pressure detection assembly, the position sensor, the jacking driving piece and the linear driver.

The invention relates to the technical field of food inspection, and discloses a food quality inspection method and device, and the method comprises the steps: obtaining image data of a plurality of regions on the surface and in a food as original inspection data; preprocessing the original inspection data to obtain first image data detected by the adaptive model; performing feature extraction and quality anomaly detection on the first image data by adopting a deep learning model to obtain second image data containing potential quality anomaly information; performing positioning and quantitative analysis on potential quality anomaly information in the second image data to obtain food quality anomaly parameters; and comparing the food quality abnormal parameter with a preset food quality standard to obtain a food quality evaluation result. According to the food quality inspection method provided by the invention, the image data of multiple regions on the surface and inside the food are acquired as the original inspection data, so that the limitation that only the surface of the food is concerned in traditional inspection is broken through, and all-around coverage of the food quality is realized.

The present application belongs to the technical field of geological disaster prevention and slope engineering, and particularly relates to a highway slope disaster proneness cross-region evaluation method and system, aiming to realize accurate cross-region evaluation of highway slope disaster proneness. The method obtains quantitative index data of source region landslide and stable slope, calculates a hazard degree coefficient based on an index importance coefficient; determines a screening threshold according to the 5% quantile of the hazard degree coefficient of the landslide sample, eliminates the pseudo-stable slope sample, and constructs a source region data set with balanced positive and negative samples; trains a transfer learning model using the source region data set, the model including source and target feature extractors and a domain discriminator sharing parameters, and reduces the distribution difference between domains through adversarial training; obtains target region to-be-evaluated slope data, calculates the hazard degree coefficient and inputs the trained feature extractor, and determines the proneness grade in combination with the hazard degree coefficient.

The invention discloses a vehicle mobile phone volume change track detection method, device and equipment and a storage medium. According to the method, a Python automation script is used for controlling terminal equipment to execute a sound detection process, a target sound source is automatically triggered, a volume gear is adjusted, a sound scene is switched, and an operation environment is provided for sound data collection; according to an operation environment, a browser sound collection interface is synchronously called to capture physical parameters of loudspeaker sound of terminal equipment in real time, original collection data are obtained, the original collection data are calibrated and filtered, standardized sound data are generated, and the standardized sound data are displayed in real time through a visual interface. And after the detection is completed, the full-amount detection data is automatically packaged and stored according to the preset format, so that the full-automatic operation of the volume change track detection of the vehicle-mounted terminal and the mobile phone can be realized, the detection efficiency is remarkably improved, the subjective error of manual operation is eliminated, the environmental noise interference is effectively overcome, and the objectivity and accuracy of the detection data are ensured.

The invention discloses a technological method and system for improving the temperature uniformity of a casting blank, and relates to the technical field of ferrous metallurgy continuous casting. According to the process method, precise regulation and control over the transverse temperature uniformity of the casting blank are achieved through six steps of building a spraying water flow density distribution matrix, calculating the comprehensive water flow density before solidification, conducting data dimensionless processing, calculating ideal distribution and conducting multi-index judgment and optimization adjustment. The corresponding system comprises a data acquisition module, a processing module, a control module and a feedback module which cooperatively complete data acquisition, processing, regulation and control and real-time feedback. According to the method, the influence of different casting blank sizes is eliminated through a mathematical model and dimensionless treatment, subjective errors are avoided through seven quantitative indexes, self-adaptive adjustment is achieved in combination with real-time feedback control, the temperature uniformity of the casting blank is remarkably improved, the defects of transverse cracks, internal stress concentration and the like are reduced, and the wide industrial application value is achieved.

The invention discloses a method for automatically identifying pi pulse time of a mercury ion microwave clock, which comprises the following steps of: setting a time sequence: performing on-off operation by external equipment according to a specified time sequence; fluorescence signals are collected, and the single-chip microcomputer is used for collecting the fluorescence signals; performing transition probability scanning, setting microwave source dot frequency, microwave action starting time, microwave action stopping time and microwave action time stepping, and performing transition probability scanning in a Rabi mode by using an external reference source as a reference signal to obtain a transition probability scanning curve; and based on the transition probability spectral line, carrying out nonlinear fitting on the data, drawing a new transition probability function curve, solving a new transition probability function derivative, further confirming a pi pulse range, and identifying the pi pulse. The method provided by the invention has the advantages of full-automatic operation, high intelligent identification precision and good system flexibility, the experiment efficiency is improved, and the experiment error is reduced.

Provided is an apparatus for detecting a gas leak in a semiconductor device, including: a receiving unit configured to receive a first signal representing a sound collected from a first position along a gas path of the semiconductor device; a leak determining unit configured to determine whether a leak exists in the gas path in the vicinity of the first position based on the first signal; and an alarm unit configured to issue an alarm in response to a determination that a leak exists in the gas path in the vicinity of the first position. Discomfort and subjectivity of a detector can be avoided in gas leak detection, and detection of a minute leak can be achieved.

Embodiments of the present application provide a titration analysis method, system, device and medium based on continuous flow and spectral detection, the method comprising: controlling a first precision pump to transport a sample to be measured and a second precision pump to transport a titrant into a mixing device through a first sampling pipeline and a second sampling pipeline to obtain a mixing result; controlling the mixing result to pass through a micro flow cell and using a light source and a spectrometer to obtain a spectral signal; monitoring the mixing result according to the spectral signal to obtain a mixing state; when the mixing state does not meet a preset condition, the mixing result in the micro flow cell is re-injected into the mixing device through a reflux device, and the second precision pump is controlled to continue to transport the titrant into the mixing device until the mixing state of the re-mixed mixing result meets the preset condition; when the mixing state meets the preset condition, the titration end point of the sample to be measured under the titrant is determined according to the spectral signal; and the target concentration of the sample to be measured is calculated according to the titration end point.

The invention discloses a circuit breaker service life prediction system and method based on the Internet of Things, and relates to the technical field of circuit breakers, and the system comprises an Internet of Things data collection module, a scene grouping module, a data quantification module, a key factor identification module, a service life prediction module and an early warning priority output module. The Internet of Things data acquisition module is used for acquiring environment data and working condition data; the scene grouping module is used for performing scene grouping on the circuit breakers from two dimensions of environmental conditions and working condition loads; the data quantification module analyzes the comprehensive life loss of each circuit breaker; the key factor identification module is used for outputting key factors of the corresponding scene groups; the life prediction module is used for constructing a scenarized life prediction model; key factor data collected by the Internet of Things in real time are substituted into the prediction model to calculate the residual life; and the early warning priority output module is used for carrying out early warning response when the model output result is smaller than the residual life early warning time limit, and carrying out priority ranking on all label factors contained in the same scene group.

The invention discloses a gas meter digital measurement uncertainty evaluation method based on deep learning, and relates to the field of metering, and the method comprises the steps: collecting verification data of a gas meter, carrying out the preprocessing of the verification data to obtain a known data set, and dividing the known data set into a training set and a verification set; training the deep learning model by using the training set and verifying by using the verification set; calculating the mean value and the standard uncertainty of the input quantity based on the known data set; in combination with the Monte Carlo method and the prediction uncertainty probability distribution of the model instance, calculating the probability distribution of the measurement through random sampling and probability propagation; based on the measured probability distribution, the measured mean value and the standard uncertainty are calculated, and evaluation of the digital measurement uncertainty of the gas meter is completed. The evaluation process is full-automatic, and subjective errors caused by manual introduction are avoided; and the requirements of measurement development planning are met, digital measurement construction is promoted, and verification credibility is improved.

The application discloses a mine underground geological disaster intelligent monitoring, early warning and protection method and belongs to the technical field of mine safety engineering. The application realizes real-time monitoring, accurate prediction, graded early warning and active protection integrated operation of mine underground geological disasters, effectively improves the safety of deep mine underground operation and reduces the geological disaster accident rate.

This invention provides a titration analysis method, system, device, and medium based on continuous flow and spectral detection. The method includes: controlling a first precision pump to transport the sample to be tested through a first injection line and a second precision pump to transport the titrant through a second injection line into a mixing device to obtain a mixing result; controlling the mixing result to pass through a microflow cell and obtaining a spectral signal using a light source and a spectrometer; monitoring abrupt changes in the mixing result based on the spectral signal to obtain the mixing state; when the mixing state does not meet preset conditions, the mixing result in the microflow cell is refluxed back into the mixing device through a reflux device, and the second precision pump is controlled to continue transporting the titrant into the mixing device until the mixing state of the remixed result meets the preset conditions; when the mixing state meets the preset conditions, the titration endpoint corresponding to the sample under the titrant is determined based on the spectral signal; and the target concentration corresponding to the sample is calculated based on the titration endpoint.

The invention discloses a runoff annual distribution mode clustering method based on threshold guidance and average connection, and aims to solve the problems that an existing clustering method needs to manually preset parameters, is sensitive to abnormal values and is not suitable for runoff percentage data, and the method comprises the following steps: converting daily runoff data into monthly / ten-day runoff percentage to construct a sample matrix; detecting and removing abnormal values by adopting a mahalanobis distance; a distance threshold is calculated adaptively, and automatic cluster allocation of samples is realized in combination with an average connection criterion without presetting the number of clusters; and outputting a clustering label, a cluster center and a clustering quality index, and supporting dimension reduction visualization. Through adaptive threshold and cluster number determination, targeted abnormal value processing and percentage data adaptive design, the method has the advantages of high automation degree, strong robustness and high precision, can be directly applied to hydraulic engineering scheduling, water resource configuration and ecological flow management and control, and provides reliable technical support for runoff time distribution characteristic analysis.

The utility model relates to the technical field of motorcycle instrument detection, in particular to a motorcycle tachometer calibration device which comprises a box body, a dustproof cover plate is movably installed on the box body, an installation platform is detachably installed in the box body, a data calibration mechanism is arranged on the installation platform, and an auxiliary heat dissipation mechanism is arranged in the box body. The data calibration mechanism comprises a signal generation module, a signal acquisition module, a data processing module and a man-machine interaction module, the signal generation module is used for simulating an engine rotating speed signal and providing a high-precision reference signal, and the signal acquisition module is used for capturing an actual output signal of the tachometer. By arranging the data calibration mechanism, the integrated signal generation module, the signal acquisition module and the data processing module, full-automatic rotation speed signal measurement and error analysis are realized, subjective errors of traditional manual calibration can be avoided, the calibration precision can be remarkably improved, the calibration time can be greatly shortened, and the device is suitable for the scene of batch maintenance.