685results about How to "Reduce measurement error" patented technology

The invention relates to the technical field of data processing, in particular to a real estate surveying and mapping data processing method and system based on intelligent data. The method comprises the following steps: acquiring multi-source real estate surveying and mapping data; performing space-time synchronization on the multi-source real estate surveying and mapping data to generate multi-source real estate surveying and mapping space alignment data; real estate space feature extraction is carried out on the multi-source real estate surveying and mapping space alignment data to obtain real estate space feature data; performing cross-domain feature fusion on the multi-source real estate surveying and mapping data based on the real estate spatial feature data to generate real estate surveying and mapping fusion spatial feature data; public surveying and mapping point confirmation is carried out on the multi-source real estate surveying and mapping data through the real estate surveying and mapping fusion spatial feature data, and real estate surveying and mapping public surveying and mapping point data are obtained. Through multi-source data space-time synchronization, feature fusion, distortion correction, high-dimensional space reconstruction, semantic tag association and chain storage, the efficiency and accuracy of real estate surveying and mapping data processing are improved.

The invention relates to a fractured coal and rock mass strength intelligent prediction method based on image recognition, and belongs to the technical field of rock mass mechanics prediction. The method comprises the following steps: (1) carrying out an indoor test according to different fracture parameters and lithology, and establishing an initial training data set; (2) introducing numerical simulation data, supplementing laboratory data through the simulation data, integrating the data into a data set, and constructing a sample database of coal and rock mass fractures and strength; (3) training a machine learning model by using the sample database, wherein the machine learning model is trained by adopting a gradient lifting decision tree model; (4) testing the precision of the machine learning model by using test set data; (5) acquiring a working face image; and (6) predicting the strength of the to-be-measured coal rock mass. According to the method, a traditional rock strength measurement method is improved, an accurate prediction model can be constructed by combining the nonlinear relationship between the geometrical characteristics and the strength of the coal-rock mass fractures with different lithology, and efficient prediction is realized.

The invention discloses an impedance measurement method based on a KAN neural network and a continuous disturbance injection device, and relates to the technical field of power grid operation analysis, and the method comprises the following steps: S1, setting disturbance parameters in the continuous disturbance injection device, and accessing the continuous disturbance injection device; s2, continuously injecting disturbance signals, and acquiring response voltage and response current of a grid-connected point of the to-be-tested system; s3, calculating an impedance amplitude and a phase under the current disturbance frequency based on a frequency spectrum identification algorithm of a KAN neural network; s4, impedance calculation of the next frequency point is carried out until the total number of disturbance injection times is reached, and measurement of the impedance of the system to be measured is completed; and S5, displaying impedance calculation results under different frequencies in a visualized manner. By adopting the KAN neural network, the precision and stability of impedance measurement in the power system are remarkably improved, and the anti-noise performance and the non-linear signal processing capacity are enhanced.

The invention relates to a double-end traveling wave fault location method based on weighted Minkowski distance and cubic spline interpolation. The method comprises the following steps: performing smooth fitting expansion processing on fault waveform data W through cubic spline interpolation; training a traveling wave head clipping model, and automatically positioning and clipping a wave head region Wcs; respectively recording the Wcs after the traveling wave processing at the two ends as Wa and Wb, translating one waveform, and calculating a weighted Minkowski distance dist; when dist is minimum, the translation amount is the time difference delta t when the traveling wave reaches the two ends for the first time. Through cubic spline interpolation, under the condition of low sampling rate, smooth fitting expansion is carried out on the signal waveform, the actual error range is obviously reduced, and the positioning precision is improved; according to the method, the weight of the distance near the fault moment is increased, the effect of highlighting the fault point is achieved, for the noisy waveform, noise reduction and other operations which can change the original waveform can be not carried out, the time difference delta t of the wave heads of the two fault traveling waves can be calculated, and the measurement error existing in the practice of the prior art is reduced.

The invention discloses a method for correcting a laser gas concentration sensor, which is used for measuring gas concentration by using laser with different wavelengths and correcting by combining environmental parameters. The method comprises the following steps: extracting laser absorption characteristics by using a first feedforward neural network, extracting environmental matrix characteristics by using a convolutional neural network, fusing the characteristics through an attention mechanism, and predicting the gas concentration through a second feedforward neural network. The loss function not only considers the difference between the predicted value and the true value, but also comprises the physical constraint between the light intensity value and the theoretical light intensity value. According to the method, the measurement accuracy and the model robustness under different environmental conditions are improved, and the influence of measurement errors and environmental fluctuation is reduced through the combination of multi-wavelength measurement and physical knowledge.

The invention discloses a high-precision concrete liquid penetration test integrated system and a use method. The system comprises a closed liquid containing box, a self-absorption turbine, a tank body, an upstream high-precision flow meter, a downstream high-precision flow meter, a data acquisition port set, a downstream data acquisition port set, a liquid pressure detector, a digital display differential pressure sensor, a concrete permeation device and a multi-channel recorder. The system can comprehensively collect the flow velocity, the surface pressure and the up-down pressure difference before and after the liquid flows through the concrete test piece, and synchronously display real-time data to computer software. Synchronous data acquisition ensures the accuracy of test data under different boundary conditions, and the system provided by the invention can accurately measure the permeability of concrete test pieces with different shapes and different fracture states under different pressures on the premise of not influencing the structural integrity of the test pieces.

The invention discloses a transient absorption spectrum measurement system, method and device for polarized light, and relates to the technical field of ultrafast spectrum measurement. In the system, a laser generation device generates first laser and second laser, and the first laser is converted into left-handed circularly polarized light or right-handed circularly polarized light through a pump light polarization device to serve as pump light for exciting a sample to be detected; the first Glan prism converts the second laser into detection light which is linearly polarized in a specified direction so as to detect the sample to be detected; the first lambda / 4 wave plate is used for converting the detection light after detecting the to-be-detected sample into linearly polarized light with mutually vertical polarization; the Wollaston prism enables the linearly polarized light with mutually vertical polarization to be respectively transmitted to the measuring device along different directions; the measuring device calculates the transient absorption spectrum of the left-hand circularly polarized probe light and the transient absorption spectrum of the right-hand circularly polarized probe light. The system can simultaneously measure the transient absorption spectrums of the left-hand circularly polarized light and the right-hand circularly polarized light, so that the measurement error is reduced.

The invention discloses a system and a method for measuring the weight center of gravity of an unmanned helicopter, belongs to the technical field of unmanned aerial vehicles, and is used for solving the problems of low measurement precision and limited measurement scene of the system for measuring the weight center of gravity of the unmanned helicopter. The measuring system comprises a weight measuring unit, a horizontal measuring unit, a lifting unit and a distance measuring unit. The weight measuring unit comprises four weight measuring assemblies; the horizontal measuring unit comprises a first bevel protractor and a second bevel protractor, the first bevel protractor and the second bevel protractor are located on a main shaft of the unmanned helicopter, the distance measuring unit comprises a horizontal laser instrument and a laser centering tool, the laser centering tool is fixed on the main shaft of the unmanned helicopter, and the laser centering tool comprises an inclined laser centering line. The center line of the laser pair and the center line of the spindle are coplanar. According to the measuring system and the measuring method, the position of the weight gravity center of the unmanned helicopter measured by a four-point weighing method in the horizontal direction can be improved, and testing of different helicopter types and different sites can be met.

The embodiment of the invention provides a micro-seismic monitoring and rockburst early warning method and device, and the method comprises the steps: deploying a sensor network to collect multi-source monitoring data which comprises acceleration data, speed data and strain data; constructing a dynamic system model represented by a Koopman operator based on historical multi-source monitoring data; combining the dynamic system model with real-time multi-source monitoring data, and performing state estimation through an improved Kalman filtering framework; based on the state estimation result, establishing a multi-scale prediction model for prediction by using a Koopman spectrum analysis method, and outputting a prediction result containing the frequency of the micro-seismic event, the vibration energy level and a Koopman spectrum characteristic index; a prediction result is corrected in real time through a tool variable method and a self-adaptive control method; and respectively comparing the microseismic event frequency, the vibration energy level and the Koopman spectrum characteristic index in the corrected prediction result with corresponding early warning thresholds, and outputting early warning information of different grades according to comparison results.

The invention discloses a multi-sensor cooperative positioning system and method for an underground gas pipeline positioning robot, and relates to the field of three-dimensional positioning of pipelines. An inertial sensor and a plurality of auxiliary sensors such as a visual sensor are installed on a current positioning robot, and when three-dimensional positioning is carried out on a gas pipeline to be positioned, the three-dimensional positioning of the gas pipeline to be positioned is carried out; data measured by an inertial sensor and a plurality of auxiliary sensors are fused, so that the problem of inaccurate positioning caused by measurement error increase when a single inertial sensor passes through special environments such as long-distance movement, a large elbow and a large inclination angle in a to-be-positioned gas pipeline is solved; a gas pipeline environment type mapping model is constructed, and the type of the special pipeline environment is judged and recognized before a current final positioning robot enters the special pipeline environment subsequently; and a judgment basis is provided for subsequently judging which performance parameter of the inertial sensor is influenced by constructing a sensor error source type mapping model.

The invention discloses a synchronous clock correction device and method for a time-gated spectral measurement and optical imaging system, and the device comprises a pulse laser, a sample stage, a spectrometer, an image intensifier, a detector, a delayer, a gating module, a control computer, and a synchronous correction module. The pulse laser outputs sample exciting light to the sample table, the spectrograph, the image intensifier and the detector, one path of a synchronous trigger signal is output to the synchronous correction module, and the other path of the synchronous trigger signal is transmitted to the image intensifier through the delayer and the gating module; detecting a gating signal through a synchronous correction module, comparing a time difference between the gating signal and a synchronous trigger signal to obtain a delay adjustment value, and adjusting a delayer through a control computer, so that the time when the gating signal starts an image intensifier is consistent with the time when an optical signal generated after a sample is excited to reach the image intensifier; according to the invention, the influence of temperature drift in an electronic system is reduced, the stability of the system is improved, and the measurement error is reduced.

The invention provides an insulating part defect identification method based on a synthetic aperture ultrasonic imaging technology, which belongs to the technical field of ultrasonic defect identification, and comprises the following steps: step 01, setting parameters of an ultrasonic transducer to enable the ultrasonic transducer to emit ultrasonic waves, and attaching the ultrasonic transducer to the surface of a detected insulating part; 02, connecting the ultrasonic sensor with an acquisition card, and acquiring real-time echo data by using acquisition software; step 03, importing the data into data processing software for data processing, and performing defect imaging by applying an imaging algorithm; and step 04, performing defect analysis and positioning on the formed ultrasonic image. According to the method, the accuracy, reliability and practicability of defect detection of the insulating part are remarkably improved, and more effective technical support is provided for quality control in the industrial field. Due to the automatic and intelligent characteristics of the system, the detection efficiency is greatly improved, the uncertainty caused by human factors is reduced, and the system has remarkable practical value and popularization significance.

The invention relates to the technical field of navigation, and discloses a self-moving type water depth maintenance robot which is characterized in that on the basis of an existing sound velocity value, various environmental factors such as real-time temperature, real-time salinity and real-time pressure are further introduced, and an original sound velocity value is dynamically corrected, so that the precision and reliability of three-dimensional coordinate conversion are remarkably improved. The real-time depth value is calculated based on the corrected sound velocity, the current speed, the current acceleration, the real-time temperature and the real-time pressure of the robot are combined, the maximum allowable depth change rate is researched, and therefore the safety and efficiency of autonomous navigation of the robot in the complex underwater environment are remarkably improved.

The invention belongs to the technical field of sewage pipeline flow detection, and particularly relates to a sewage pipeline flow calculation method based on electromagnetic induction, which comprises the following steps: step 1, a detection mechanism is arranged between two butt-joint flowing sewage pipelines, and the detection mechanism is composed of a measuring pipe, an electrode and an excitation coil, the magnet exciting coil wraps the outer arc surface of the measuring tube. The sewage pipeline flow calculation method based on electromagnetic induction is high in measurement precision and suitable for various conductive media including sewage, corrosive liquid and a mixture containing solid particles; the measuring range is wide, and the device is suitable for measuring fluids with different pipe diameters and flow ranges. The electromagnetic flowmeter can be quickly mounted on the sewage pipe through the quick clamping mechanism, so that the mounting time is shortened, the labor intensity is reduced, and maintenance and calibration are facilitated; measurement errors caused by fluid interference are avoided by reducing accumulation of sediments, and the accuracy of circulation measurement is further enhanced by circular motion measurement of the electrodes.

The invention discloses a projector automatic focusing method based on a spectrum sensor and related equipment, and the method comprises the steps: carrying out the wavelength decomposition of a reflected light signal, and obtaining a light intensity value; calculating an initial distance value between the projector and the projection surface; carrying out integral operation on the acceleration data and the angular velocity data to obtain a position offset and an attitude angle offset; determining a compensation distance, and calculating an actual projection distance; controlling a stepping motor to drive a lens assembly to move to a focusing position corresponding to the target focal length value; controlling a stepping motor to drive a lens assembly to reciprocate; a new reflected light signal is collected again after each reciprocating motion; processing the new reflected light signal based on a preset mapping model to obtain a current measurement distance; and when the deviation value between the current measurement distance and the preset optimal imaging distance is smaller than a preset threshold value for the first time, determining the focusing position corresponding to the final measurement distance as a final focusing position. The automatic focusing precision of the projector is improved, and the definition of a projection picture is further improved.

The invention discloses a river model flow velocity intelligent measurement method and device, and belongs to the technical field of river model test measurement, and the method specifically comprises the steps: obtaining a model flow field image sequence, and carrying out the preprocessing; automatically identifying and marking tracer particles by using an image identification algorithm; calculating the instantaneous speed of the tracer particle according to the displacement information of the tracer particle in the continuous time period in combination with an image acquisition frame rate and a model scale; reconstructing a three-dimensional flow velocity field by using a radial basis function; according to the method, non-contact and high-precision measurement of the flow field of the river model is achieved, errors and interference possibly caused by a traditional physical contact measurement mode are avoided, and the automation degree and efficiency of measurement are improved; according to the method, the instantaneous speed of the tracer particles can be accurately calculated by utilizing the displacement information and the image acquisition frame rate of the tracer particles in combination with a river model scale, and a three-dimensional flow velocity field is reconstructed through spatial interpolation and a radial basis function, so that the accuracy and the efficiency of a river model test are improved.

The invention provides a radiation temperature measurement device and method based on dynamic calibration, and relates to the technical field of radiation temperature measurement. The device is used for measuring temperature information of a hot end component and comprises a first lens group, a temperature measuring probe, a second lens group, an optical switch, an optical filter, a photoelectric detector, a pre-amplifier, an acquisition monitoring system and a controller, after passing through the optical filter, a corresponding temperature measurement characteristic wavelength is obtained; the photoelectric detector is of a thermoelectric refrigeration type, the temperature measurement characteristic wavelength is incident to the photoelectric detector for detection to obtain a corresponding electric signal, the electric signal is amplified into a collectable voltage signal through the pre-amplifier, and the collection monitoring system carries out collection and post-processing to obtain temperature information of the hot end component; the optical switch is arranged at the front end of the optical filter and is controlled to be turned on or turned off through the controller, and the controller is controlled by the collecting and monitoring system.

The invention discloses a steel plate contour dimension measurement method based on a surface detection platform, and belongs to the technical field of machine vision detection, and the method comprises the steps: transforming the surface detection platform, installing a laser transmitter between every two adjacent cameras in the same group of cameras in the surface detection platform, a modified surface detection platform is obtained; wherein light spots projected to the measured steel plate by each laser generator can be simultaneously collected by the cameras on the two sides of the laser generator; a preset calibration plate is adopted to calibrate each camera in the modified surface detection platform; acquiring a surface image of the detected steel plate by using the calibrated group of cameras; and calculating the overall dimension of the measured steel plate based on the surface image of the measured steel plate. According to the invention, the overall dimension of the steel plate is measured, the cost can be effectively reduced, and higher measurement precision can be obtained by using the high-resolution image of the surface detection platform.

The invention relates to the technical field of battery thermal performance measurement, in particular to a method for measuring the specific heat capacity of an energy storage battery. The theoretical model is calibrated by monitoring the cooling curve of the battery so as to ensure that the heat transfer characteristic of the battery is accurately reflected. Then, constant-power heating is adopted, so that the thermal field of the battery reaches a quasi-steady state, and in the steady state, the temperature change is gradually consistent; and recording a temperature change curve in real time through a temperature acquisition instrument, and calculating the specific heat capacity of the battery in combination with the calibrated model and a constant power input condition. According to the method, only the voltage-stabilized power supply and the temperature acquisition instrument are needed, so that the cost is greatly reduced; the measurement precision is improved through temperature change curve analysis after model calibration, and the problems that in a traditional method, environmental interference is large, and precision is insufficient are solved; the time for reaching the quasi-steady state is shortened through constant-power heating, and the measurement process is accelerated. The method is suitable for various energy storage batteries, can meet the requirements of industries such as electric automobiles and electric energy storage on the thermal performance of the batteries, and has wide popularization value.

The invention relates to the technical field of intelligent weighing, and discloses a paper cup weight intelligent weighing system and method based on artificial intelligence, and the system comprises a data collection module, an intelligent analysis module, a display early warning module, an automatic calibration module and a database. The intelligent analysis module is used for judging the qualification condition of the paper cup according to the comparison result of the weight measurement data and the first weight threshold range, and compensating and correcting the weight measurement data according to the comparison result of the qualified weight measurement data and the second weight threshold range to obtain a final weighing result; and the automatic calibration module is used for automatically calibrating the measurement parameters according to the intelligent analysis result. According to the invention, the precision and reliability of paper cup weight detection can be significantly improved, the frequency of manual calibration can be reduced, the maintenance cost can be effectively reduced, the measurement parameters can be dynamically adjusted according to real-time environmental conditions, the high-precision weighing result can still be provided under complex production conditions, and the method has a wide application prospect.

The invention discloses a Gsensor automatic test method aiming at IC environment deviation, and relates to the technical field of inertial sensors, the method comprises the following steps: S1, placing a Gsensor in a constant acceleration field, recording output data under different power supply voltages, S2, establishing a correction model between the power supply voltages and sensor output based on the recorded output data, and S3, carrying out Gsensor automatic test according to the correction model. S3, the power supply voltage is adjusted according to the correction model, so that Gsensor output is kept stable under different power supply voltages, and S4, power supply voltage fluctuation is monitored and compensated in real time, and the accuracy of a measurement result is ensured. According to the Gsensor automatic test method for the IC environment deviation, measurement errors caused by power supply fluctuation are remarkably reduced, the stability of Gsensor output signals is improved, the test result is more accurate and reliable, and the problem of how to compensate sensor output fluctuation caused by different power supply voltages so as to solve the measurement errors caused by poor power supply stability is solved.

The invention relates to the technical field of automobile part detection, in particular to an automobile front leaf inner plate measurement gauge, which comprises a leaf plate detection mechanism, a front leaf inner plate detection mechanism, a front leaf inner plate detection mechanism, a front leaf inner plate detection mechanism and a rear leaf inner plate detection mechanism, the three fixing mechanisms are connected with the threaded grooves in the corresponding positions in a screwed mode and used for limiting the inner plate; the positioning detection mechanism is fixed on the workbench and is used for determining the placement position of the inner plate on the surface of the workbench and detecting the inner plate; and the position adjusting mechanism is fixed on the positioning detection mechanism and is used for controlling the lifting of the component. According to the invention, the first roller rolls on the inner plate and the pressure sensor is combined to detect the pressure value of each position of the standard component, so that the pressure data corresponding to the shape characteristics of the inner plate of the standard component can be accurately obtained, and the difference of radians, thicknesses and the like at different positions can be reflected on the pressure change. The data can be used as a high-precision reference standard for subsequent detection, and the detection precision is effectively improved.

The invention provides an egg product character nondestructive testing device and method, and belongs to the field of agricultural product nondestructive testing, the device comprises a character detection module, a detection box, at least three detection cameras with different angles, a weighing table and a roundness detector; a plurality of rubber coating motor rollers used for driving egg products to roll around a long shaft are mounted at the end part of the bracket on the weighing platform; the roundness detection module collects the vertical displacement change value of the vibration detection rod in the rolling process of the egg product after the vibration detection rod moves to the height of the egg product along with the electric push rod and rotates to the position right above the position parallel to the long axis of the egg product along with the driving motor; and the character detection module performs three-dimensional reconstruction according to the multi-angle image to calculate the volume and the egg shape index of the egg product, calculates the density loss rate and the ellipsoid of the egg product, and determines the character of the egg product according to the density loss rate, the egg shape index and the ellipsoid of the egg product. According to the device, the volume measurement error is reduced, the freshness detection accuracy is improved, the detection process and the detection space do not need to be increased through integrated detection, and the egg character detection efficiency can be improved.

The invention relates to the technical field of three-dimensional measurement, in particular to a linear structured light bearing bush and gear three-dimensional measurement method and system, and the method comprises the following steps: 1, data collection: employing a CCD camera arranged on a measurement platform to shoot laser images containing laser line patterns from different angles; step 2, image processing: extracting feature points in the laser image by using a computer vision algorithm; and 3, three-dimensional reconstruction: based on the known CCD camera parameters and the position change of the feature points on the to-be-measured object, obtaining three-dimensional data of the to-be-measured object by using a space coordinate conversion technology. And step 4, error correction: carrying out error analysis on the obtained three-dimensional data. And step 5, result output: outputting final three-dimensional measurement data of the to-be-measured object based on the corrected result. Through the automatic and intelligent measurement means, the measurement period can be further shortened, and the production efficiency is improved.

The invention relates to the technical field of ejector rod type displacement sensor calibration testing, in particular to an ejector rod type displacement sensor calibration device and a measuring method. The device comprises a measured ejector rod displacement sensor, a displacement sensor calibration device and a length measuring machine. The measured ejector rod displacement sensor is connected to the displacement sensor calibration device, the displacement sensor calibration device is connected to the upper surface of the length measuring machine, and the length measuring machine drives the displacement sensor calibration device to move to measure and calibrate the measured ejector rod displacement sensor. According to the measuring range bearing range of the ejector rod displacement sensor to be measured, the calibration requirements of sensors of different specifications can be met; the small-angle pitching and horizontal small-angle adjusting functions are achieved, and the accuracy of the installation angle of the sensor is ensured; according to the invention, tool calibration and measurement data acquisition and processing are integrated, so that the stability of the device is improved, and the calibration reliability is improved; and the data acquisition accuracy of the detected ejector rod displacement sensor is improved.

The invention relates to the technical field of air flow meters, and particularly discloses an integrated intelligent air flow meter which performs air detection on the basis of the ultrasonic principle, a pair of ultrasonic transducers is arranged in a sewage deodorization pipeline, and the ultrasonic wave propagation speed is adjusted according to the influence of air flow on the ultrasonic wave propagation speed. And the air flow is preliminarily calculated in combination with pipeline parameters. And then, in order to correct the influence of the temperature change on the ultrasonic propagation speed, the integrated intelligent air flow meter further performs real-time monitoring and data analysis on the temperature in the pipeline, and performs compensation correction on the preliminarily calculated air flow based on a time sequence change mode of the temperature, so that more accurate air flow measurement is realized. In this way, measurement errors caused by temperature fluctuation can be effectively reduced, and the measurement precision and stability of the air flow are improved.

The invention discloses a screen cabinet adding method based on BIM and a computer vision technology. The method comprises the following steps: 1) establishing a BIM model template; 2) carrying out 2D visual detection and ROI extraction; 3) acquiring and downsampling 3D point cloud data; 4) processing the downsampled 3D point cloud data by using point cloud correction filtering, including removing point cloud outliers by using an improved DBSCAN algorithm and performing point cloud completion based on a grid method, thereby improving the quality of the point cloud; and 5) registering the point cloud and the BIM model template, and verifying whether the installation space meets the installation requirements of the screen cabinet or not. According to the method, 2D and 3D visual technologies are combined, efficient and accurate space information acquisition and screen cabinet adding feasibility evaluation are achieved, the labor cost is reduced, the design accuracy is improved, and technical support is provided for efficient transformation of the urban power distribution room.

The invention provides an intracranial pressure sensor data processing system and algorithm based on an improved wavelet neural network. The system comprises a parameter initialization module; a pre-training module; the parameter generation module is used for generating different parameter sets through improved Tent mapping; a model adjustment module; a training module; an output module; an embedded system module; the data input module takes pressure data acquired by the intracranial pressure sensor as training data and inputs the training data into the embedded system, so that a wavelet neural network structure of the data input module can reach a prediction target and is kept in the system; and the on-line measurement module is used for carrying out on-line measurement in the operation or after the operation, collecting intracranial pressure data in real time and inputting the intracranial pressure data into the system so as to obtain accurate intracranial pressure data. The influence of temperature drift on the sensor is reduced by using the improved wavelet neural network algorithm, so that the sensor has good performance when processing nonlinear and non-stationary signals, and the intracranial pressure monitoring data can reflect the actual intracranial pressure of a patient more accurately.

The invention discloses a device and a method for measuring the flow direction and the flow velocity in a hole, and belongs to the technical field of water conservancy, hydrogeology and engineering geology. According to the measuring device, a plurality of conductivity probes are arranged on the lower edge of an upper tank base, and an electronic compass is arranged in each conductivity probe and used for measuring the flow direction of underground water in a hole; the bottom of the upper tank body is connected with the lower tank body, and a certain distance is reserved between the upper tank body and the lower tank body; the lower tank top cover is provided with a nozzle, and the lower tank base is provided with a water inlet hole. The technical problems that in the prior art, the flow direction and the flow speed of underground water in a micro-scale range in a single drill hole cannot be measured, and vertical turbulent flow interference of the underground water cannot be avoided in the measuring process are solved.

The invention discloses a solid rocket engine after-test automatic temperature measuring device and a using method. The solid rocket engine after-test automatic temperature measuring device comprises a mechanical arm and a temperature measuring device, and the temperature measuring device is connected with the mechanical arm through a flange plate; the temperature measuring device comprises a temperature measuring rod, a temperature measuring rod heat insulating layer and a high-temperature thermocouple, the temperature measuring rod is provided with a wiring groove and a plurality of through holes, the wiring groove is used for arranging a high-temperature thermocouple wiring harness, and the through holes are used for fixing the high-temperature thermocouple; and the temperature measuring rod heat insulating layer is coated on the outer side of the temperature measuring rod. The automatic temperature measuring device provided by the invention is simple in mechanical structure, high in reliability, low in cost and easy to maintain and replace parts, realizes automatic measurement of the temperature of the combustion chamber after a solid rocket engine test, can flexibly adjust the position of a measuring point according to different engines and test requirements, is safe and rapid in measurement, wide in temperature measuring range and high in measuring precision, and is suitable for popularization and application. And the measurement error is small, and rapid and accurate temperature measurement without damaging the inner surface of a measured object is realized.