967 results about "Total station" patented technology

The invention relates to the field of building settlement monitoring, and discloses a multi-source data-artificial intelligence fused building deviation rectification settlement prediction method and system, and the method comprises the following steps: multi-source data collection: obtaining multi-class sensor data related to building settlement, the multiple types of sensors comprise a level gauge, a total station, an underground water level sensor and a soil body pressure sensor, and multi-modal data input is formed; the invention also discloses a multi-source data-artificial intelligence fused building deviation rectification settlement prediction system. The system comprises a data acquisition module, a data processing module, a deep learning prediction module, a model optimization module, an intelligent early warning module and a user interaction module. According to the invention, by dynamically adjusting the settlement risk threshold and introducing a multi-stage early warning signal and an intelligent decision support system, accurate early warning and real-time decision support of the settlement risk are realized, and the adaptability, accuracy and response efficiency of the system are significantly improved.

The invention discloses a stress analysis method for bridge incremental launching construction, and particularly relates to the field of stress analysis. According to the method, a mechanical state matrix is generated by combining wavelet noise reduction and Kalman filtering through distributed optical fibers, a piezoelectric force sensor, a vibrating wire stress meter and other equipment and real-time data; a pushing system-temporary support-beam body coupling dynamic mechanical model is established, and a generalized alpha method is adopted for solving and Bayesian optimization calibration parameters are adopted; key parameters are identified on line through a three-level progressive framework, boundary conditions are dynamically updated in combination with a total station and a laser tracker, and supporting rigidity self-adaptive adjustment is achieved through fuzzy PID control. Model confidence evaluation adopts a residual norm-modal confidence criterion-Bayesian update three-level mechanism, finally, stress distribution, support reaction and displacement deviation are calculated based on a correction model, and a safety index, threshold alarm and risk analysis report is generated through a fuzzy comprehensive evaluation method and fed back to a construction control center in real time.

The invention discloses an assembly type laminated slab installation guiding system and method for a public building special-shaped formwork system, and relates to the technical field of constructions.The assembly type laminated slab installation guiding system comprises a data acquisition module, a calculation decision module, an installation guiding module and a geometric compensation connection module; the system comprises a point cloud acquisition module, a point cloud processing module, a BIM processing module, a point cloud processing module, a BIM processing module, a point cloud processing module, a BIM processing module, a field-BIM coordinate correspondence and output of original measurement data and quality indexes, a calculation decision-making module, a component optimal installation attitude and tolerance distribution and generation of installation instruction parameters, and an installation guiding module, which projects an installation instruction to a field in laser, total station and AR modes, and the geometric compensation connecting module is connected with an edge compressible layer through an adjustable bracket and an oval groove hole to achieve XYZ and angle fine adjustment, reliable locking and post-grouting curing are achieved on the premise that the bearing requirement is met, and the device has the advantage of being high in accuracy.

The invention relates to a prefabricated square block mounting method, belongs to the technical field of wharf building construction, and aims to solve the problems of insufficient flatness of a foundation bed, large alignment deviation of prefabricated square blocks and poor seam sealing performance in a traditional mounting method. A trapezoidal tenon is pre-embedded in the bottom surface of the prefabricated square block and is matched with a groove in the top surface, and accurate embedding of the tenon and the groove is realized by combining sectional descending speed control of a crane ship, total station and RTK positioning data fusion deviation correction and underwater camera alignment confirmation; and after installation, scanning is conducted through a depth sounding system, a secondary leveling program is started, the wharf structure installation precision and the overall stability are improved, and the later settlement risk is reduced.

The invention relates to a method for constructing and visualizing a knowledge graph of a secondary virtual loop of an intelligent substation, which solves the problems of incomplete visualization, incomplete relevance, poor readability and the like in the prior art, and adopts the technical scheme that the method comprises the following steps of: acquiring an SCD configuration file and an optical fiber link table of the intelligent substation; reading and analyzing the SCD configuration file, and obtaining virtual loop configuration information of the whole station; matching the virtual loop with the soft pressing plate based on the configuration information of the virtual loop of the whole station; matching the physical loop with the virtual loop based on the total station virtual loop configuration information and the optical fiber link table; constructing a knowledge graph based on the total station virtual loop configuration information; and constructing a total station secondary equipment virtual loop configuration database based on the knowledge graph. The method has the advantages that the configuration information of the virtual loop of the whole station can be completely presented in a graphic form, the visualization degree of the secondary virtual loop of the intelligent station is effectively improved, and the working efficiency of on-site technical improvement, defect elimination, verification and the like is improved.

The invention provides a non-overlapping field-of-view binocular camera external parameter calibration method and system, and the method is applied to a non-overlapping field-of-view area, and comprises the steps: setting a control point, obtaining a three-dimensional coordinate of the control point through a total station, and collecting an image containing the control point through a binocular camera; constructing a re-projection error function by using the three-dimensional coordinates of the control points to obtain an initial value of the external parameters of the camera; designing an image branch and a point cloud branch in a Transform network, respectively extracting image features and coordinate features, then carrying out cross-modal feature association, constructing a weighted multi-objective loss function, and training to obtain matching information of the image features and the coordinate features; and finally, optimizing and solving the extrinsic parameters through the light beam adjustment method model, and outputting the optimized extrinsic parameters of the camera after training. According to the method, the dependence of a traditional method on the field-of-view coincidence degree is overcome, the problem of scale drift when external parameter calibration is performed by using deep learning is solved, and complex scene calibration is supported.

The invention discloses a foundation pit safety monitoring method and device based on cooperation of unmanned aerial vehicle oblique photography and Internet of Things, and relates to the technical field of data processing, and the method comprises the following steps: S1, collecting a three-dimensional image and spectral data of a foundation pit; s2, collecting data of the foundation pit through a monitoring sensor deployed in the foundation pit; s3, multi-source heterogeneous data weighted fusion is carried out; s4, calculating a three-dimensional deformation quantity; s5, performing crack detection on the spectral image acquired by the unmanned aerial vehicle; and S6, fusing the three-dimensional deformation quantity and an abnormal identification result to generate a risk signal, generating a digital twinborn body of the health state of the foundation pit, and realizing minute-level risk early warning. According to the invention, through cooperation of unmanned aerial vehicle oblique photography and a multispectral sensor, in combination with a foundation pit sensor network, the three-dimensional geometrical morphology, multi-physical field parameters and spectral feature data of the foundation pit are synchronously obtained. Compared with traditional total station single-point measurement, the monitoring precision is improved, and the coverage range is expanded to the whole foundation pit area from the local point location of the fixed sensor.

The invention discloses an anomaly measurement system for an urban building facade, which comprises an image information acquisition module, a three-dimensional model generation module, an anomaly identification processing module, a comprehensive verification analysis module and an identification information output module, relates to the technical field of facade detection, and solves the problem that only for identification detection of a single anomaly type, the anomaly detection efficiency is high. According to the method, through standardization of an acquisition path and special scene processing, image information integrity is ensured, acquisition efficiency is improved, unmanned aerial vehicle GPS coordinates and total station control point coordinates are fused, a coordinate system is unified through seven-parameter conversion, absolute deviation of a model is reduced, and the accuracy of the system is improved. According to different characteristics of cracks, hollowing and peeling, double recognition logic of appearance characteristics and three-dimensional geometric characteristics is designed, the misjudgment rate is reduced, multiple types of anomalies are covered, a comprehensive verification module is introduced, and the deviation of an anomaly recognition result is reduced through 30% sample repeated measurement and a manual recheck mechanism.

The invention discloses a tunnel point cloud high-precision splicing method based on rotation and translation constraint, and belongs to the technical field of engineering measurement and three-dimensional laser scanning. The method comprises the following steps: a data acquisition stage: acquiring absolute coordinates and relative point cloud data of each station through collaborative operation of a total station and a frame station scanner, and completing scanning of a target tunnel section; a point cloud data preliminary transformation stage: performing translation transformation on relative point cloud data of each station by using absolute coordinates of a rack station scanner, and preliminarily transforming the relative point cloud data into a global coordinate system; a two-stage registration stage based on rotation translation constraint: carrying out two-stage registration on the relative point cloud data of the adjacent sites after preliminary transformation; and a global point cloud model generation stage: unifying the relative point cloud data of all sites to a tunnel construction global coordinate system through two-stage registration, and generating a complete tunnel three-dimensional point cloud model. According to the invention, through rotation translation constraint and a two-stage registration strategy, the millimeter-level splicing precision is ensured, and the cost and the operation difficulty are reduced at the same time.

A method for identifying and calculating the volume of over- and under-excavation in tunnels based on laser point clouds belongs to the field of intelligent tunnel construction and blasting quality assessment technology. Technical solution: The scanned point cloud data is denoised; a design contour point cloud is generated and aligned with the centerline of the actual excavated tunnel; the actual collected tunnel excavation point cloud and the design contour point cloud are Delaunay tetrahedralized; the actual tunnel point cloud is traversed, and the vector dot product formed between the point cloud and the triangular sides of the convex hull is calculated; over- and under-excavation areas are identified; a polyhedron is constructed from the design contour point cloud and the actual excavated area point cloud constituting the area; the polyhedron is divided into quadrilaterals, and the volume of each quadrilateral is calculated, thereby calculating the volume of each over- and under-excavation area. Beneficial effects: This invention can quickly measure over- and under-excavation areas and quantities that are difficult to calculate in tunnel blasting quality assessment, and can replace cumbersome and time-consuming total station and manual measurement methods; this method has the advantages of high precision, high efficiency, and high flexibility.

This invention belongs to the field of engineering measurement technology, specifically a field measurement device for architectural design. The device includes a tripod with a total station mounted on top. A sliding cylinder shields the device from strong light, preventing ambient light from affecting the laser beam and improving the accuracy of laser beam identification and calibration. A conical column, with its conical base, inserts into the soil, enhancing stability during operation and reducing detection errors caused by device sway. A first spring improves adaptability to ground surfaces of varying hardness, enhancing the device's versatility. When the two sliding plates abut against each other, they form a relatively enclosed environment, further reducing the influence of the external environment on the laser beam and improving the accuracy of laser beam identification and calibration.

The invention relates to the technical field of visual monitoring, and discloses a novel bridge visual monitoring method, which comprises the following steps: S1, arranging targets, installing monitoring targets and reference targets, S2, erecting a system, erecting a customized visual monitoring system in a stable area, S3, establishing a coordinate system, and S4, carrying out visual monitoring. The method comprises the following steps: S1, arranging a standard target at the bottom of a structure to be measured, performing three-dimensional coordinate measurement on the standard target at the bottom of the structure to be measured in the step S1 by adopting a total station, and establishing a standard coordinate system O-XYZ, S4, acquiring and processing an image, and vertically and upwards shooting an image of the target mounted on the inner side of each structure to be measured, S5, calculating displacement and perpendicularity, and S6, transmitting data. According to the method, an environmental parameter compensation mechanism is deeply integrated into the whole process of coordinate measurement and deformation calculation, and unified reference coordinate system establishment and target layout specifications are combined, so that data deviation caused by environmental factors and operation differences in different monitoring scenes is eliminated, long-term monitoring data has systematicness and continuity, and the method is suitable for large-scale popularization and application. The problem of inconsistent results caused by human differences in traditional measurement is solved.

The invention discloses a large-diameter super-long permanent steel casing sinking positioning system and a construction method thereof. The large-diameter super-long permanent steel casing sinking positioning system comprises an adjustable lifting guide frame, an inner wall supporting component and a positioning monitoring and dynamic closed-loop deviation rectifying system. The guide frame is a double-layer guide frame with adjustable height so as to meet the sinking of steel casings with different lengths; transverse support members are arranged on the inner wall of the steel casing at equal intervals to prevent water pressure difference between the inside and outside of the steel casing at the deepwater position or local deformation under the action of impact load; the monitoring and dynamic closed-loop correction system comprises a total station scanner and a double-shaft inclinometer, the plane position and perpendicularity of the steel casing are fed back in real time, the steel casing is fixed through an automatic position adjusting jack and a V-shaped pressing block, the plane position and perpendicularity of the steel casing are dynamically corrected in real time, and it is ensured that the top face of the casing meets the construction standard. According to the positioning system and the construction method thereof, the technical problems of poor adaptability, low positioning precision, delayed deviation correction response and the like in the sinking process of a large-diameter super-long steel casing in a complex stratum in a deepwater area can be solved.

The invention discloses a method for measuring and analyzing inclination of a concrete tower drum of a wind turbine generator. The method comprises the following steps: determining positions of a distribution station, a replacement station and a measuring point of a total station; detecting the roundness of the ring piece; performing seam dislocation detection on the ring piece; the horizontal deviation of the circle centers of the upper observation surface and the lower observation surface and the height difference of the upper observation surface and the lower observation surface are calculated, and the gradient of the wind turbine generator tower is calculated; the maximum settlement amount and the inclination direction are calculated, and the tower drum inclination amount caused by differential settlement of the foundation is obtained; the tower drum inclination amount and the tower drum inclination direction caused by the wind load are calculated through vector operation; judging whether the wind load affects the inclination of the tower drum or not; and comprehensive evaluation is carried out, roundness and a joint dislocation abnormal area are determined, and processing suggestions are provided. Various tower inclination reasons can be accurately identified, a scientific basis is provided for operation and maintenance management of a wind power plant, and safe and efficient operation of a wind turbine generator is guaranteed.

The application discloses a kind of bridge tower segment attitude intelligent prediction method and system based on multi-point cooperative positioning, method includes: S100, in the two adjacent sides of the segment that has been installed, select multiple observation points, using laser reflector obtains the space coordinates of observation point, using multiple total station instruments cooperates measurement;S200, based on rigid body transformation mathematical model, the attitude change prediction of segment to be installed, using rotation matrix and translation vector calculates the optimal attitude of segment to be installed, too much point redundant information optimizes attitude estimation, controls cumulative error;S300, BIM modeling is carried out to bridge tower structure, and high-precision three-dimensional rendering is carried out, complex monitoring data is converted into intuitive graphical interface, and segment state is shown in real time;S400, according to data comparison, combined with error analysis, if the error is larger than design data, then corresponding adjustment is carried out;S500, repeat the above steps, until all bridge tower segments are accurately positioned and installed. The precision and construction efficiency of bridge tower segment erection are improved.

The invention relates to the technical field of water conservancy monitoring, in particular to a sluice three-dimensional deformation intelligent monitoring method based on multi-station linkage total stations, which comprises the following steps: arranging a control network comprising a working base point and a checking base point in an upstream area of a sluice body, and arranging at least two automatic total stations, arranging a plurality of prism monitoring points on the gate pier to be detected; carrying out multi-measurement-back automatic observation on the prism monitoring points through the automatic total station, and collecting angle and distance observation values in real time; acquiring environmental parameters in real time based on a meteorological sensor, performing dynamic meteorological correction and network adjustment processing on observation data, and generating a three-dimensional coordinate sequence of each monitoring point; and carrying out displacement trend analysis and safety state early warning according to the three-dimensional coordinate sequence. The defects of the traditional means in the aspects of precision, efficiency and environmental adaptability are overcome, and a novel horizontal displacement monitoring technology which is high in precision and reliability and suitable for long-term automatic operation is formed. The method is mainly applied to water conservancy monitoring.

The invention discloses a global tracking and adjusting platform of a total station, and belongs to the technical field of automatic control of measuring equipment. Comprising a translation table, a lifting table, an automatic leveling mechanism, a horizontal rotating structure and a pitching rotating mechanism which are sequentially connected from bottom to top, and a comprehensive control system for controlling the mechanisms to cooperatively operate; the translation platform is fixedly mounted on the tripod; a total station is mounted on the automatic leveling mechanism; according to the global tracking and adjusting platform for the total station, through cooperative operation of the translation platform, the lifting platform, the automatic leveling mechanism, the horizontal rotating structure and the pitching rotating mechanism and in combination with a closed-loop control strategy of a comprehensive control system, automatic leveling and transverse and vertical displacement adjustment of the total station and remote precise control over the azimuth angle and the pitching angle of an eyepiece are achieved; and the eyepiece of the total station is quickly aligned with the center of the target, so that the measurement preparation efficiency and precision are greatly improved.

The invention discloses an engineering measurement data intelligent analysis method and system, and relates to the technical field of engineering data analysis, and the method comprises the steps of data access and fingerprint identification, space-time alignment and dynamic reference construction, semantic feature extraction and causal atlas construction, multi-modal data fusion and intelligent diagnosis, abnormity traceability and causal chain generation, and visual feedback and early warning output. According to the method, the total station, the unmanned aerial vehicle, the GNSS and the optical fiber sensor are used for collecting multi-source data and generating fingerprints, constructing a dynamic reference profile, extracting semantic features and combining construction logs to form a causal atlas, multi-modal fusion and anomaly diagnosis can be achieved, a trigger source can be traced, a causal chain is output, finally, risks are visually marked in a three-dimensional BIM model, and early warning is pushed. The integrity, real-time performance and interpretability of monitoring data are effectively improved, and construction safety and management decision support are enhanced.

The invention relates to a sectional type positioning installation method and system for a steel structure frame, and relates to the technical field of building structure construction. The method comprises the steps that three-dimensional coordinate measurement is conducted on the embedded bolt through a total station, a deviation value recording table is obtained, and a control network and a marking system are established; the method comprises the following steps: performing ultrasonic flaw detection and pre-tension reinspection on a steel structural member, performing ground pre-assembly to obtain a single-section steel frame model, and performing optimization treatment to form a number marking system and an assembly sequence diagram; a steel structure is divided into a plurality of independent installation units, and preliminary positioning is achieved through a temporary fixing technology; secondary measurement is carried out, fine adjustment is carried out through an ejector and a wire drawing device, accumulated deviation is dispersed through an overall balance method, and the pre-camber is set to obtain a stable frame system; the high-strength bolts are finally tightened, and welding construction is conducted; the roof system is installed in a batched concentrated hoisting mode. The problem that accumulated errors are difficult to control in traditional steel structure installation is solved, and the installation precision and efficiency are improved.

The invention discloses a handheld laser radar scanner and an application method of the handheld laser radar scanner in rural house surveying and mapping, and aims to solve the problems of low efficiency, poor precision and insufficient environmental adaptability of traditional surveying and mapping. The equipment integrates a multi-line laser radar, an inertial navigation system (INS), a multispectral imaging unit and an edge calculation module, and realizes three-dimensional reconstruction through a dynamic scanning strategy and an intelligent point cloud fusion algorithm. The core innovation comprises: 1, a multi-modal data fusion technology: laser point cloud and a multi-spectral image cooperate to identify physical characteristics of rural house building materials (such as rammed earth and wood); the narrow space is optimally designed, the size of the device is smaller than or equal to 15 cm * 8 cm * 5 cm, one-hand operation is supported, and indoor collision is avoided through a built-in anti-collision sensor; and 3, a farm house special algorithm library which comprises a roof inclination angle calculation module, a crack detection module and a structure safety evaluation module. Actual measurement shows that the equipment can still realize + / -2cm absolute precision in a GNSS signal-free environment, the surveying and mapping of 200m < 2 > rural houses can be completed in only 20 minutes through one-time operation, and the efficiency is improved by 5 times compared with that of a traditional total station.

The invention discloses a modular installation method for a three-dimensional broken line glass curtain wall, and belongs to the technical field of building curtain wall installation. Aiming at the problems of insufficient installation precision and low efficiency of the three-dimensional broken line glass curtain wall, the method comprises the following steps: firstly, generating a curtain wall three-dimensional model based on building main body structure data, segmenting the curtain wall three-dimensional model into a plurality of functional units through an intelligent segmentation algorithm and prefabricating the functional units, and then installing an intelligent node connector with a three-dimensional angle fine adjustment function at a preset position of a building main body; preliminarily connecting and positioning the prefabricated unit and the building main body, monitoring and adjusting the pose of the prefabricated unit in real time by using a laser tracking total station, and finally rigidly connecting. The method is mainly used for installing the three-dimensional broken line glass curtain wall, the installation precision and efficiency can be improved, and the stability and safety of the curtain wall are guaranteed.

The invention provides a redundant code identification method and system based on a data flow diagram. The problem that multiple types of redundant codes cannot be comprehensively identified in the prior art is solved. Identifying a waste interface set through set operation processing of an interface access log, a total station scanning result and code warehouse information; performing dynamic call detection and data flow analysis based on a static analysis tool and the abstract syntax tree, and identifying an internal useless code set; identifying and combining a waste script set and a waste consumer set to form a waste component set through state check and log analysis of consumer operation states, script execution records and task scheduling configuration; constructing a whole system call graph to perform reverse reachability analysis, and identifying a cascade waste code set; and finally, generating a complete redundant code report containing statistical data, a detailed list and risk assessment based on the various sets.

The invention belongs to the field of neutron optical devices, and relates to a neutron conduit waviness measuring method. The method comprises the following steps: S1, defining a waviness parameter sigma as an index for measuring the flatness of a reflecting surface, and calculating through a specific formula; s2, a total station is used for being matched with an auto-collimation eyepiece, in an auto-collimation mode, light beams of the total station irradiate the reflection surface, the normal incidence state is determined, and the angle is recorded; s3, mounting the total station on a high-precision guide rail, sliding along the guide rail, repeating the step S2 at a plurality of positions at equal intervals, recording a current instrument angle, and transmitting the current instrument angle to a computer; s4, processing the data by using a spreadsheet template, and calculating waviness according to the geometrical shape; and S5, evaluating the waviness value and the normal accuracy of the side wall of the multi-section conduit, and analyzing the influence of the waviness value and the normal accuracy on neutron reflection. The neutron reflection quality and the multi-section guide rail butt joint integration quality can be evaluated more accurately, the method is suitable for guide pipes in various geometrical shapes, design and manufacturing can be guided, the production efficiency can be improved, and support is provided for device improvement.

The invention relates to the technical field of high arch dam deformation field feature analysis, in particular to an interpolation algorithm for high arch dam deformation field feature analysis. According to the technical scheme, the method comprises the steps of data collection and classification, variation function initial parameter setting, variation function fitting through a local weighted least square method, variation function parameter global optimization, Kriging interpolation calculation and consistency checking and parameter adjustment, in the data collection and classification process, monitoring data of the high arch dam under different load working conditions are collected, and the monitoring data of the high arch dam under different load working conditions are obtained. The load working conditions comprise a high water level in a flood period and a low temperature period in winter, and the deformation data of different parts and different time from the total station, the level gauge, the inclinometer and the strain gauge are associated with the corresponding load working conditions and monitoring point coordinate information. Through comprehensive data association, reasonable parameter setting and optimization, accurate interpolation calculation and a reliable result adjustment mechanism, more accurate deformation field analysis of the high arch dam under different load conditions is realized, and safe operation of the dam is guaranteed.

The invention belongs to the technical field of engineering surveying, and particularly discloses a river-crossing leveling method and system.The method comprises the steps that four control points are arranged on the two sides of a water area to be measured, each control point is provided with a centering rod tool, and each centering rod tool is integrated with an upper-layer prism and a lower-layer prism with the preset fixed vertical distance; a first total station and a second total station are erected on the two banks of the water area, upper-layer prisms and lower-layer prisms arranged on centering rod tools on the opposite banks are observed synchronously and oppositely, and vertical angle and slant distance data of all observation targets are obtained; and based on the vertical angle and slope distance data, a preset fixed vertical distance is used as a checking condition, and the height difference between the target positions on the two banks is solved. According to the method, the double-layer prism tool is introduced into a physical forced closing check condition, and traditional quadrilateral geometric closing check is combined, so that the data redundancy and the reliability of results are greatly enhanced, and system errors can be effectively identified and separated.

The invention discloses a steel truss girder simulation assembly method combining point cloud data and total station data, and relates to the technical field of data simulation, and the method comprises the following steps: obtaining screw hole information of a plurality of assembly areas of a first steel truss girder assembly section and a second steel truss girder assembly section through a scanner; acquiring reference splicing coordinates of the first steel truss girder splicing section and the second steel truss girder splicing section through a total station; the screw hole information of the multiple splicing areas of the first steel truss girder splicing section and the second steel truss girder splicing section corresponds to the reference splicing coordinates of the first steel truss girder splicing section and the second steel truss girder splicing section; the splicing information of the first area of the splicing plate is registered with the splicing screw hole information of the first steel truss girder splicing section; and the splicing information of the second area of the splicing plate is registered with the splicing screw hole information of the second steel truss girder splicing section. Therefore, the digital splicing posture of the steel truss girder can be checked in advance, and construction adjustment measures can be guided.

The invention discloses a tunnel back break detection method, which relates to the technical field of tunnel engineering, and comprises the following steps: step 1, control point measurement; step 2, tunnel scanning; 3, reconstructing a point cloud; step 4, generating a section; and step 5, performing overbreak and underbreak comparison and report output. The invention provides a three-dimensional laser cooperative scanning method integrating a total station and a handheld scanner, aiming at the problems that the efficiency of the scanner of the total station is high but the cost is too high, the efficiency of a common total station is low, and the precision of the handheld scanner is insufficient in the traditional tunnel detection technology. By combining total station control point calibration and handheld device dynamic scanning, the advantages of the total station control point calibration and the handheld device dynamic scanning are fully fused, the limitation of a single device is broken through, the tunnel detection precision and efficiency are improved, a more economical and efficient detection solution is provided for complex tunnel engineering, collaborative optimization of the precision and efficiency is achieved, and the tunnel detection efficiency is improved. And the method has important engineering application value and popularization significance.

The invention relates to the technical field of steel structure construction, aims to solve the problem of low precision caused by an existing integral hoisting mode, and provides an integral hoisting system and method for a large-span steel truss girder. Comprising a control module, a hydraulic lifting module, a three-dimensional laser scanner, a total station and an identification acquisition identifier arranged on a steel truss girder to be lifted, and the hydraulic lifting module, the three-dimensional laser scanner and the total station are connected with the control module; a hydraulic synchronous lifting technology is fused with a space positioning technology and a three-dimensional laser scanning technology of the total station, and a hydraulic lifting module is automatically adjusted by adopting data feedback of the three-dimensional laser scanner and the total station, so that the synchronization rate and the accuracy during overall lifting are improved, and the system is suitable for overall lifting of the large-span steel truss girder.

A pipe ring flatness measurement method based on a total station specifically relates to the field of pipe ring flatness measurement, and the scheme comprises the following steps: collecting a three-dimensional coordinate point cloud of a pipe ring end face through the total station, dividing the pipe ring end face into measurement areas according to segment partitions, carrying out iterative sampling on the three-dimensional coordinate point cloud of a single observation station by adopting an RANSAC algorithm, screening effective measurement points, and obtaining the flatness of the pipe ring. Calculating a reference surface distance and a residual standard deviation, taking the number of the effective points of each observation station as a weight to obtain a global reference surface distance and a fusion residual standard deviation, dynamically adjusting an initial screening threshold, re-screening the effective measurement points according to the adjusted screening threshold and an RANSAC algorithm to obtain the number of the adjusted effective points, and calculating the total reference surface distance and the fusion residual standard deviation. According to the method, a complete closed loop is formed through data screening, reference fitting, multi-station fusion, quality evaluation and threshold optimization, so that the stability, interference resistance and working condition adaptation accuracy of flatness measurement are improved.

The invention belongs to the technical field of constructional engineering, particularly relates to a pumping and storage engineering underground powerhouse rock wall beam excavation construction method and equipment, and provides the following scheme aiming at the problem that the existing rock wall beam excavation construction equipment lacks an effective fixed angle supporting measure: the method comprises the following steps: preparing wind, water and electricity in a hole, preparing constructors and tools in place, and carrying out construction; the measurement operation is implemented by professionals, point positions are accurately released by adopting a total station so as to facilitate installation of sample frame guide pipes, and vertical smooth blasting holes in each area adopt erection of a steel pipe sample frame so as to control the drilling precision. According to the excavation construction method and equipment for the rock wall beam of the underground powerhouse of the pumping and storage project, in the rock wall beam excavation construction process, drilling personnel can carry out fixed-point and fixed-angle supporting on a pneumatic drill used for drilling blast holes, so that the pneumatic drill can drill the blast holes according to design requirements; the condition of drilling deviation in the drilling process is avoided, the drilling precision speed is remarkably improved, the construction efficiency is improved, and the construction progress is guaranteed.