948results about "Profile tracing" patented technology

The invention discloses a landslide monitoring method based on remote sensing data, and the method comprises the steps: obtaining a high-resolution optical remote sensing image and a synthetic aperture radar image of a research region, carrying out the registration processing of the optical and radar remote sensing images, and obtaining a remote sensing image with an accurate spatial position and an accurate geometric shape; generating a landslide area fusion image with high spectral resolution; the matched high-resolution DEM data is obtained; based on the matched high-resolution DEM data, gradient parameters of the research area are calculated, and a gradient threshold value is determined according to gradient distribution characteristics and prior knowledge; extracting slope direction parameters of the research area by adopting a slope direction algorithm based on grids and vectors, and screening out a landslide-prone area in combination with the slope threshold value; obtaining a landslide risk distribution map; and obtaining the occurrence possibility and danger level of the landslide, and obtaining the landslide condition according to the occurrence possibility and danger level of the landslide. According to the invention, precise identification and dynamic monitoring of landslide disasters are realized.

The invention relates to the technical field of river section measurement, in particular to a river measurement data preprocessing method based on artificial intelligence. The method comprises the following steps: obtaining river section measuring point data, and carrying out measuring point density evaluation on the river section measuring point data based on different scales and section elevation changes so as to obtain high-density measuring point data; performing section thalweg point and turning point identification based on adjacent measuring point slope change on the high-density measuring point data, and performing measuring point thinning processing of retaining thalweg points and turning points so as to obtain a retaining measuring point data set; according to the preset section line and the reserved measuring point data set, the measuring points exceeding the preset measuring point deviation distance threshold value are automatically detected and calibrated, coordinate reconstruction and position correction are conducted on the measuring points deviating from the preset section line, and therefore calibrated measuring point data are obtained. The problems of uneven data, missed measurement and deviation in traditional measurement can be effectively solved, and river channel measurement data are more accurate and complete.

The invention discloses a railway box girder full-section data monitoring method and system based on a three-dimensional scanner, and particularly relates to the technical field of data monitoring, and the method comprises the steps: collecting the data of the full section of a railway box girder through the three-dimensional scanner, scanning each part of the box girder for multiple times, and determining the data collection process of the full section of the railway box girder. Collected railway box girder full-section data are processed, point cloud data are spliced through an aerial triangulation calculation process based on dense point cloud data, key point circle center position accurate estimation and key plane fitting and optimization, and an operator uploads the spliced data and special mark point coordinates to an intelligent measurement integrated platform system. The point cloud information and the contour information of the prefabricated box girder are collected, the acceptance assessment model of the prefabricated box girder is constructed, the possible significant deviation between the box girder model and the design standard is quantified, and the railway box girder full-section acceptance efficiency can be improved.

The invention relates to the technical field of topographic survey, in particular to an automatic surveying and mapping method and system for a complex topographic land parcel for urban and rural planning. The method comprises the following steps: acquiring satellite remote sensing data and a digital elevation model corresponding to an urban and rural planning survey area, and performing survey area terrain pre-detection to generate an urban and rural planning complex terrain survey area plot; the method comprises the following steps: carrying out element semantic recognition and segmentation on an urban and rural planning complex terrain plot to obtain terrain obstacle distribution corresponding to each building, vegetation and water body element in the urban and rural planning complex terrain plot; obtaining a corresponding three-dimensional surveying and mapping boundary constraint of the complex terrain land parcel and carrying out surveying and mapping path obstacle planning to generate a terrain constraint surveying and mapping planning path corresponding to the urban and rural planning complex terrain land parcel; and performing automatic navigation surveying and mapping processing on the urban and rural planning complex terrain plot to generate urban and rural planning complex terrain plot surveying and mapping data. According to the invention, the efficient, accurate and automatic navigation surveying and mapping process of the plot under the complex terrain condition can be realized.

The invention relates to the field of measurement, in particular to a subway tunnel secondary lining section limit measurement method based on SLAM mobile scanning, which comprises the following steps: step 1, tunnel point cloud acquisition and target clustering point cloud acquisition; step 2, CPIII control point coordinate extraction; step 3, point cloud coordinate conversion; 4, performing point cloud processing, and removing noisy points and non-secondary-lining target point cloud data in the tunnel secondary-lining point cloud; and step 5, performing three-dimensional limit deviation analysis, performing spatial comparative analysis on the point cloud under the construction coordinate system and the subway secondary lining tunnel design three-dimensional model by adopting a voxelization deviation mapping algorithm, extracting a continuous deviation region through voxel clustering, and generating a three-dimensional deviation thermodynamic diagram. According to the method, the two-lining tunnel point cloud obtained by SLAM mobile scanning is accurately converted into a construction coordinate system by combining CPIII high-precision control points in the tunnel, rapid, visual and three-dimensional contrastive analysis with design of a three-dimensional model can be achieved, and visual and reliable data support is provided for line and slope adjustment, track laying and defect improvement.

The invention discloses a robot gait self-adaptive adjustment method and system combined with topographic feature recognition, and relates to the technical field of robot gaits, and the method comprises the steps: collecting a topographic image in front of a robot advancing path, carrying out the deblurring processing, and extracting ground feature data through a lightweight neural network; matching the ground characteristic data with a preset gait control parameter database to obtain a gait control parameter set, and generating a control signal through a proportional-differential control method according to the gait control parameter set; correcting the control signal based on a reinforcement learning algorithm, and generating a target control instruction for driving a joint actuator; in the process of executing the target control instruction, collecting state feedback data in real time, and comparing and optimizing the feedback data with the currently executed target control instruction to realize feedback adjustment; the problems of insufficient terrain recognition precision caused by image blurring, response lag caused by sensing and control decoupling and lack of adaptive ability are effectively solved.

The invention discloses an unmanned aerial vehicle assisted three-dimensional scanning well measurement system and method. The method comprises the steps of firstly collecting shaft information, adjusting equipment, planning a measurement path, enabling an unmanned aerial vehicle to collect data according to the planned path, then preprocessing the data, intelligently identifying and classifying the data, constructing a three-dimensional model, analyzing errors, evaluating the data, and finally generating a measurement report. The system comprises an unmanned aerial vehicle, a laser radar, a structured light camera, a depth camera, an IMU + UWB and a cloud processor. Compared with a traditional measurement mode, the method has obvious advantages. Through laser radar SLAM + UWB positioning, the unmanned aerial vehicle can be accurately navigated, high-precision scanning and image acquisition are realized in combination with multi-sensor fusion, and measurement blind areas are reduced. The intelligent identification and classification technology can automatically detect and classify hoistway facilities, detect wall damage and support dynamic obstacle avoidance. Various algorithms are adopted for data processing to improve the model precision, the finally generated high-precision model can be directly used for various engineering scenes, and an efficient and intelligent solution is provided for well measurement.

The invention relates to the technical field of remote sensing monitoring equipment, and discloses tropical agricultural ecology remote sensing monitoring equipment which comprises an unmanned aerial vehicle platform, a remote sensing unmanned aerial vehicle is arranged on the unmanned aerial vehicle platform, and a monitoring sensor assembly is loaded on the remote sensing unmanned aerial vehicle. The monitoring sensor assembly comprises a high-resolution camera device, a hyperspectral sensor, a thermal infrared sensor and a laser radar, a data receiving module, a data processing module and a display module are arranged in the unmanned aerial vehicle platform, and the monitoring sensor assembly is mainly used for obtaining soil images and data information. The data processing module can judge soil ecological information according to images and data, and the monitoring sensor assembly and the data processing module are matched to obtain the erosion degree and fertility condition of soil in the planting area, the moisture content, the soil type, the moisture evaporation condition and the slope and direction information of the soil. The growth state of plants in a planting area and the ecological environment of soil are monitored, and producers are better assisted in formulating targeted agricultural management measures.

The invention belongs to the technical field of tunnel excavation, and particularly relates to a method for projecting a tunnel excavation contour through multi-beam visible laser. Comprises: S1, establishing a tunnel line model; s2, establishing a two-dimensional rectangular coordinate system on the excavation section of the tunnel; s3, arranging more than three target positioning points on the excavation section of the tunnel, and installing reflecting lenses on the target positioning points; s4, converting the space coordinates of the target positioning point obtained in the step S3 under the construction engineering coordinate system into a two-dimensional rectangular coordinate system; s5, converting the two-dimensional rectangular coordinates of each point of the theoretical tunnel contour model into three-dimensional space coordinates; s6, erecting a laser projection device; s7, calculating the horizontal angle and the vertical angle obtained in the step S5 by the laser projection device, and controlling a motor to quickly adjust the angles of the reflecting lenses of the X axis and the Y axis respectively; s8, adjusting the angles of the reflecting lenses of the X axis and the Y axis of the related positioning point; and S9, averaging the mileage of the target positioning point of each total station obtained in the step S4, and taking the averaged mileage as the mileage of the current excavation face to carry out informatization management.

The invention discloses a shield segment dislocation detection method and system fusing visual and geometric features, and the method comprises the steps: employing a mobile track three-dimensional laser scanning system, and rapidly obtaining the three-dimensional point cloud data of a tunnel segment; projecting the three-dimensional point cloud data of the tunnel segment to a two-dimensional image according to the scanning parameters and the image preset resolution, and mapping the laser point reflection intensity into a pixel gray value; shield segment inter-ring joints and shield segment in-ring joints are extracted respectively, and segment joint positioning is completed; and according to the seam positioning information, extracting local point clouds at the two sides of the seam, respectively carrying out circular model fitting, calculating the height difference of circular models at the two sides at the seam, and obtaining an in-ring slab staggering value. According to the method, the visual information of the point cloud reflection intensity and the geometric information of the spatial position are fused, rapid and accurate shield segment in-ring slab staggering detection is realized, and the efficiency and the accuracy are high.

The invention relates to the technical field of ocean engineering construction, and discloses a construction positioning and SCADA visualization integrated intelligent arrangement method for an arrangement ship, which comprises the following steps: synchronously acquiring coordinates and attitude parameters of the arrangement ship through a Beidou positioning terminal and an inertial navigation device, and constructing a three-dimensional digital twinborn model of a construction scene in combination with submarine topography surveying and mapping data; analyzing boundary and gradient characteristics of the target arrangement area based on the model, and generating an initial arrangement path planning scheme; position deviation and ocean current flow velocity data are monitored in real time in the operation process, and the laying path is dynamically adjusted; and the position of the laying ship, the path adjustment record and the submarine topography change are displayed in real time through a visual interface of the SCADA system. According to the method, high-precision positioning, dynamic path optimization and full-process three-dimensional visual monitoring of the laying operation are realized, the problems of large positioning deviation and response lag of a traditional method are solved, and the construction precision and efficiency are remarkably improved.

The invention relates to a surrounding rock over-break and under-break detection method and a monitoring and early warning system for a curved tunnel, and belongs to the technical field of tunnel engineering. The method comprises the following steps: firstly, based on supervision of a bounding rectangle and a design file, quickly extracting a median line of a tunnel; the median line is used as a framework of the tunnel form and can accurately reflect the bending degree and direction of the tunnel; then, the meso-line infinitesimal vertical line cluster technology is utilized to realize refined extraction of the tunnel section, and it is ensured that high-precision section data can be obtained even in a complex bent tunnel; on the basis, the quasi-Monte-Carlo method is introduced to calculate the back-break volume, the quasi-Monte-Carlo method serves as an efficient numerical integration method, the volume of a complex geometric body can be approximately solved through statistical analysis of random samples, and the method is particularly suitable for back-break calculation of irregular bodies such as tunnels and has the advantages of being high in calculation efficiency, high in calculation accuracy and high in calculation precision. According to the method, the calculation precision is improved, the calculation time is remarkably shortened, and powerful support is provided for instant decision making of a construction site.

The invention belongs to the technical field of marine surveying and mapping, and discloses an equivalent sound velocity automatic inversion method and system based on multi-beam overlap region constraint. The method comprises the following steps of: performing beam point location tracking on multi-beam original data by using surface sound velocity of multi-beam data to obtain an overlapping region of a multi-beam strip; gridding overlapped areas of the multi-beam strips, minimizing water depth deviation between overlapped grids by using a genetic algorithm, and performing inversion to obtain the optimal equivalent sound velocity of each measuring line; and performing beam point location tracking again on each measuring line by using the corresponding equivalent sound velocity obtained by inversion, weakening sound velocity deviation existing in beam point location tracking by using the surface sound velocity, weakening a curved terrain between the strips in the overlapping region, and obtaining a submarine topography with continuous splicing of the overlapping regions of the adjacent strips. According to the invention, the precision and reliability of submarine topography measurement can be ensured, and the speed of submarine topography measurement field operation is improved.

The invention discloses a reservoir bank slope inspection method and system based on an unmanned aerial vehicle laser radar, and relates to the technical field of unmanned aerial vehicle reservoir bank slope inspection, and the method comprises the following steps: 1, guaranteeing the normal working state of an unmanned aerial vehicle, starting the laser radar, connecting a ground GNSS reference station on the shore, calibrating the position of the unmanned aerial vehicle and a communication signal, an inspection area boundary and flight parameters are set; navigation data provided by a shoreside base station is utilized. According to the reservoir bank slope inspection method and system based on the unmanned aerial vehicle laser radar, the inspection efficiency is improved, and the endurance time is prolonged; the system is high in autonomy, reduces the labor cost, achieves the whole-course autonomous navigation, path optimization, obstacle avoidance and dynamic adjustment, does not need manual intervention, effectively reduces the workload and operation difficulty of inspection personnel, reduces the labor cost, improves the intelligent level of inspection tasks, and improves the autonomous adaptability of the unmanned aerial vehicle to complex terrains.

The invention provides a measurement mark-free section deformation resolving method for a high-speed rail tunnel, and relates to the technical field of tunnel detection. The method comprises the following steps: acquiring point cloud data of a high-speed rail tunnel, and carrying out mileage alignment on the point cloud data and datum point cloud data; performing section registration on the point cloud data and the reference point cloud data; establishing a corresponding relation of two periods of point cloud data through a nearest neighbor point of any point position in the datum point cloud data, and setting a displacement difference threshold value and an intensity grading threshold value of a point pair based on the corresponding relation; performing clustering analysis on the point clouds exceeding the displacement difference threshold value or the intensity grading threshold value based on a target clustering algorithm, and generating a potential deformation area continuous mask; the potential deformation area continuous mask represents the area where the high-speed rail tunnel has diseases. According to the method, the detection efficiency and the detection accuracy of high-speed rail tunnel deformation detection can be improved.

The invention belongs to the technical field of hydraulic engineering measurement, and discloses a seawall measurement method and system based on multi-source data fusion, and the method comprises the steps: collecting geological data and hydrological data through a data collection module; the route planning module formulates a route; the overwater data acquisition equipment and the underwater data acquisition equipment are used for monitoring; the auxiliary equipment provides a high-precision positioning reference; the meteorological data module obtains meteorological data; the data processing module processes the data; the three-dimensional modeling module carries out point cloud registration and DEM model construction; the comprehensive analysis module performs comprehensive evaluation and predicts potential problems and risks; when an abnormal condition or a potential risk is monitored, the early warning module gives an alarm. Multi-source data acquisition equipment such as unmanned aerial vehicle aerial survey, a laser radar, a multi-beam depth finder, a side-scan sonar, a shallow profiler and a micro-motion exploration instrument are integrated, seawall overwater and underwater full-dimensional data acquisition, processing, modeling and volume calculation are realized, and high precision and reliability of measurement results are ensured.

The invention relates to the technical field of sand excavation metering, in particular to an intelligent metering method of a sand excavation amount monitoring system, which comprises the following steps of: S1, scanning and recording an operation area of a sand dredger by adopting a depth finder in cooperation with RTK GPS, and establishing a three-dimensional map before operation; s2, after sand excavation operation is finished, the operation area of the sand dredger is scanned again, the three-dimensional map after operation is obtained and compared with the three-dimensional map before operation, and topographic changes before and after sand excavation are calculated. When the method is used, high-precision gravel data can be stably obtained under different water flow conditions, sand excavation dispatching optimization and overload avoiding are facilitated through high-precision volume calculation, and the working efficiency of the sand dredger is improved. The method is beneficial to reducing sensor noise, improving measurement precision, realizing real-time monitoring of the volume of the sandstone in the cabin, accurately calculating the volume of the sandstone, improving the precision of supervision data, avoiding oversampling, improving the quality calculation precision, avoiding errors caused by fixed density calculation, automatically calculating in the whole process, avoiding manual intervention, and improving the measurement efficiency and stability.

The invention relates to a river section water level multi-source satellite collaborative remote sensing monitoring method and system, and belongs to the field of river section water level remote sensing monitoring. The method comprises the following steps: classifying sections based on section morphological characteristics and gradient characteristics; based on the section water levels monitored by the satellites with different types of sections and different spatial resolutions, an error correction model for monitoring different types of section water levels by the satellites with different spatial resolutions is constructed; and on the basis of a water level error correction model for monitoring different types of sections by satellites with different spatial resolutions, and monitoring different types of sections and different time phase section water levels by satellites with different spatial resolutions, obtaining a multi-source satellite collaborative monitoring time sequence water level data set of different types of sections, namely finishing section water level multi-source satellite collaborative remote sensing monitoring. According to the method, the sections are classified, then the water levels of different types of sections are monitored through multi-source satellite cooperative remote sensing, and the requirement for high-frequency monitoring of river reach water level monitoring is met.

The invention relates to the technical field of intelligent mining of coal mines, in particular to a coal face straightening method based on laser radar inertial navigation fusion positioning. Basic straightness information of a coal face is obtained by using inertial navigation data, so that the influence of a high-concentration dust environment on data acquisition in a coal mining process can be avoided; when the coal mining machine runs to a machine head / machine tail, the coal mining machine is in a coal cutting interval, the dust concentration is relatively small, a laser radar is used for scanning an air return way / air inlet way to obtain point cloud data, the current point cloud data and the previously collected point cloud data are spliced through an algorithm to obtain a current error, and the inertial navigation precision is calibrated according to the data; and finally, through data fusion, the support displacement amount is adjusted, and automatic alignment of the coal face is achieved. According to the method, markers do not need to be arranged in the roadway in advance, and the method has the working face general applicability.

The invention discloses a tunnel structure intelligent monitoring system based on machine vision, and relates to the technical field of tunnel monitoring. The method comprises the following steps: setting monitoring points and monitoring units in a tunnel, respectively acquiring a monitoring displacement value and a monitoring condition set of each monitoring point, acquiring point cloud data in the tunnel, constructing a three-dimensional model, respectively acquiring a calibration displacement value of each monitoring point in the three-dimensional model, and calculating the calibration displacement value of each monitoring point; constructing a displacement calibration model in the tunnel, obtaining a real-time calibration displacement value of each monitoring point and a change trend of the real-time calibration displacement value, constructing a structure evaluation model in the tunnel, obtaining abnormal structure types, generating corresponding abnormal structure signals according to different abnormal structure types, and feeding back the abnormal structure signals; the displacement value obtained through image analysis can be corrected in combination with point cloud data, and the abnormal structure existing in the tunnel can be judged in time according to the calibrated displacement value and change trend of each monitoring point and fed back.

The invention discloses a method for generating a reservoir area river channel cross section by fusing multi-source data and encrypting step by step, and relates to the field of hydropower engineering measurement. The method comprises the steps of obtaining multi-source data of a reservoir area river channel section, and performing fusion processing on the multi-source data to obtain a point cloud set Q; laying section line segments, and determining an initial section data set A according to the laid section line segments; obtaining topographic feature points on the section line segments to form a new section data set B; obtaining a new section data set C; forming a new section data set D; converting the section data set D into a section mileage file; and drawing the mileage file into a cross section diagram, and further generating a reservoir area river channel cross section. According to the method, multi-source data are fused into point cloud data of the whole reservoir bank area, data sources comprise true color airborne laser point cloud data of the shore part, elevation point data collected by an underwater unmanned ship and elevation point data manually collected by a reservoir close to the shore and a shallow water area, and high precision and comprehensiveness of the data sources are guaranteed.

The invention discloses a laser galvanometer projection correction method and system suitable for an uneven tunnel section, and the method comprises the steps: scanning the point cloud data of a tunnel face through a laser radar, so as to extract the point cloud data of concave-convex regions in the uneven tunnel section, and carrying out the extraction of the point cloud data of each concave-convex region; the projection coordinates of the tunnel contour points and the blast hole points are corrected through the point cloud data, laser galvanometer projection is carried out according to the corrected projection design parameters, and the tunnel contour and the drilling position can be projected on the uneven tunnel section rapidly and accurately; the problem of projection position deviation caused by unevenness of the tunnel face after blasting is effectively solved, and the accuracy of drilling and positioning of the uneven tunnel section is improved. Moreover, manual correction is not needed in the whole process, and before projection lofting is carried out every time, a user only needs to start software to automatically start the laser radar for scanning and automatically complete correction, so that personnel operation is greatly reduced, and safety is improved.

The invention belongs to the technical field of hydraulic engineering, and provides a river section form measurement method and system, a storage medium and electronic equipment, and the method comprises the steps: collecting and processing data needed for measuring a river section form; extracting a waterline and a center line from data required for measuring the river section form; calculating a relative stability index of the section based on the center line and the waterline, and identifying a stable river reach in the river channel through the relative stability index of the section; dividing the stable river reach into a curved river reach and a straight river reach; giving elevation values to the waterline of the curved river reach and the waterline of the straight river reach by using data required for measuring the shape of the cross section of the river to obtain waterline elevation values; and measuring the river section form based on the waterline elevation value. According to the method, any section form of the river channel can be effectively constructed, the space-time limitation of measurement is broken, basic data support is provided for runoff monitoring, and an important basis is provided for large-scale flood process monitoring and water resource management decision.

The invention discloses a multi-element blasting effect evaluation method and system based on point cloud data, and relates to the field of blasting effect evaluation of a drilling and blasting method.The method comprises the steps that point cloud obtained after tunnel blasting is scanned through a three-dimensional laser scanner, and classification of muck pile point cloud, tunnel face point cloud and hole body point cloud is achieved through a Canupo algorithm; the muck pile point cloud, the tunnel face point cloud and the hole body point cloud are processed, and the boulder rate, the throwing distance, the excavation footage, the blast hole utilization rate, the tunnel half hole and the over-excavation and under-excavation quantity index parameters are obtained; and obtaining a blasting effect evaluation score through the combination weight and the score of each index parameter, and obtaining blasting effect evaluation. According to the method, multiple blasting effect evaluation indexes can be accurately obtained based on the point cloud data obtained through three-dimensional laser scanning, the blasting effect is quantitatively evaluated, a large amount of manpower is saved, the blasting effect evaluation efficiency and accuracy are improved, and reference is provided for improvement of subsequent blasting design.

The invention relates to the technical field of engineering construction, in particular to a multi-source observation value comprehensive control tunnel short edge measurement method. The invention discloses a multi-source observation value comprehensive control tunnel short edge measurement method. The method comprises the following steps: S1, simulating and optimizing a control net shape; s2, carrying out analogue simulation calculation on an error in a pre-test run-through; s3, acquiring multi-modal measurement data; and S4, carrying out multi-source observation value fixed weight comprehensive processing. According to the comprehensive control tunnel short edge measurement method based on the multi-source observation value, multi-modal measurement means such as optimization of an auxiliary tunnel line shape, segmented transmission orientation, common point and corner intersection, full-conductor transverse short distance measurement and gyro orientation are adopted for in-tunnel conductor short edge transmission, data are comprehensively analyzed and processed, and the measurement accuracy of the short edge of the tunnel is improved. The adverse effect of short edges on control azimuth angle transmission in the tunnel is eliminated and weakened, and the tunnel through precision is improved.

The invention belongs to the technical field of non-intrusive underwater collection, and particularly discloses a liquid concentration and underwater terrain collection method and system based on Kinect, and the method comprises the following steps: obtaining water surface point cloud data and underwater terrain point cloud data based on a Kinect camera; the method comprises the following steps of: fitting a relation curve of a gray value and liquid concentration by preparing mixed liquid with different sediment volume concentrations; importing the water surface point cloud data into point cloud visualization software for processing to obtain an RGB value of the measured liquid, and obtaining the liquid concentration of the measured liquid through a relation curve of a gray value and the liquid concentration; correcting the obtained underwater topography point cloud data to obtain corrected point cloud data of the underwater topography; and importing the corrected point cloud data into point cloud visualization software to carry out underwater terrain three-dimensional reconstruction. According to the invention, one-to-one correspondence color maps and depth maps are obtained based on the Kinect camera, the liquid level liquid concentration can be effectively collected, and meanwhile, three-dimensional reconstruction of the underwater terrain can be quickly realized.

The invention provides an ocean internal wave data acquisition method, medium and system, and belongs to the technical field of ocean hydrological observation.The ocean internal wave data acquisition method comprises the steps that an acoustic Doppler flow velocity profiler is used for acquiring water body movement data, a temperature-salinity-depth profiler is used for acquiring seawater parameters, and meanwhile a satellite altimeter and drifting buoy data are combined. Performing time-frequency analysis on the water body motion data, and obtaining internal wave candidate data by using band-pass filtering; and constructing an internal wave mathematical equation set comprising a hydromechanics basic equation, buoyancy frequency, a frequency dispersion relation and the like, and verifying and screening out effective data. And inputting the effective data into a pre-trained classification model to determine an internal wave type, finally extracting a key waveform segment through a preset extraction equation set, and generating and outputting internal wave characteristic waveform data. According to the method, multi-source observation data and a mathematical physical model are combined, identification, classification and feature extraction of the ocean internal waves are realized, and the problem that a data acquisition method capable of effectively extracting effective signals of the ocean internal waves and accurately identifying the features of the internal waves is lacked at present is solved.

The invention relates to the technical field of mine construction detection, in particular to a laser and electromagnetic wave three-dimensional monitoring device which comprises a monitoring unit, an auxiliary mechanism used for user toppling emergency is movably installed on the outer side of the monitoring unit, and a light reflecting vest convenient to wear is installed at the top of the auxiliary mechanism. The auxiliary mechanism comprises a gear ring used for fixedly installing the monitoring unit, a gear is installed on the inner side of the gear ring in a meshed mode, and a motor is fixedly installed on the top of the gear. Shooting equipment can be used for shooting and recording partial special areas, the working efficiency can be improved, if a worker topples over, the monitoring unit detects that the distance between the worker and the ground is rapidly shortened, and the motor drives the monitoring unit to rotate to the back of the worker, so that the worker is prevented from being hurt after the monitoring unit collides with the ground; and the damage possibility of the monitoring unit can also be reduced.

The invention discloses a tunnel section convergence accurate measurement method, system and device and a storage medium. The method comprises the following steps: receiving input basic information; establishing a tunnel section laser scanning image acquisition model; collecting elevation data of a tunnel section; performing multi-source heterogeneous data fusion based on the input basic information, the collected tunnel section laser scanning image, the point cloud data and the tunnel section elevation data to obtain a fused data result; tunnel section extraction; according to the extracted section result, constructing an independent plane coordinate of the tunnel section after converting the section result, fitting a difference value between a tunnel radius result and a design result, and measuring convergence deformation of the tunnel section; outputting a tunnel section convergence deformation measurement result; according to the invention, multi-source data fusion, data visualization, deformation analysis and risk prediction can be realized, the tunnel measurement precision, the engineering quality and the engineering management efficiency are obviously improved, and the tunnel construction safety is guaranteed.

The invention relates to the technical field of bridge pier scour monitoring, discloses an air-water-shore cooperative overwater float type bridge pier scour monitoring system, and belongs to the technical field of bridge safety monitoring. According to the system, an integrated framework is formed by a buoy platform, a shore-based cooperative monitoring station and a cloud monitoring platform. The buoy platform is fixed to a pier through a mooring lead, the underwater sonar module of the buoy platform can scan the terrain of a riverbed at multiple angles, and the overwater module integrates high-precision positioning and video monitoring. The shore-based station is provided with a laser scanner and a high-definition camera to monitor the overwater structure and the macroscopic environment of the pier. The cloud platform serves as a control center, converges the multi-source data of the buoys and the shore stations through a communication network, carries out time sequence correlation and fusion analysis, and dynamically evaluates the scour pit development and the bridge pier structure state. According to the invention, the limitation of a single monitoring mode is broken through, collaborative acquisition and intelligent fusion of air, water and shore data are realized, the comprehensiveness, accuracy and early warning capability of monitoring are remarkably improved, and reliable guarantee is provided for safe operation of bridges.