479results about How to "Achieve precise positioning" patented technology

The invention provides an HBase client main-standby switching method and system based on fault perception, and relates to the technical field of database management, and the method comprises the steps: collecting system operation data through a distributed fault monitoring module, building an anomaly detection baseline model, carrying out fault diagnosis based on a system health assessment distribution matrix, and generating a fault characteristic spectrum; and switching is triggered according to a risk level evaluation result, and the optimal standby node is selected for sequential switching by using a deep strategy learning algorithm, so that rapid and accurate fault detection, diagnosis and intelligent switching can be realized, and the reliability and performance of the system are improved.

The invention provides a life detection method and system based on radar signal processing, and relates to the technical field of radar signal processing, and the method comprises the steps: collecting a radar echo signal of a target region, controlling a phased array radar transmitting antenna array to transmit an orthogonal frequency division multiplexing dual-frequency continuous wave radar signal, and transmitting the dual-frequency continuous wave radar signal. Inputting the processed radar echo signal into an orthogonal demodulation module for synchronous coherent demodulation to obtain a baseband signal; inputting the feature vector into a multi-task deep learning network integrated with an attention mechanism for feature fusion and target recognition to obtain a second processing signal; obtaining a target characteristic frequency spectrum by calculating the time-frequency distribution of the second processing signal, and judging whether a life body exists in the target area or not according to the time-varying characteristics of the respiratory frequency component and the heartbeat frequency component and the amplitude fluctuation rule; and calculating three-dimensional space coordinates of the life body through a multi-base-station cooperative positioning algorithm, and outputting a detection result containing the three-dimensional space coordinates and the life body feature information.

The invention belongs to the technical field of humanoid double-arm robots, and particularly relates to an intelligent grabbing method of a humanoid double-arm robot, which comprises the following steps: acquiring an RGB image and a depth image of a target object through a global camera, performing alignment processing, detecting the target object by using a coarse positioning model, and determining pre-grabbing positions of double arms; global point cloud data in a working space are obtained in real time through a global camera, and path planning is performed by adopting an improved artificial potential field algorithm, so that two arms respectively reach pre-grabbing positions; acquiring an RGB image and a depth image of a target object through a double-arm tail end camera, performing alignment processing, detecting the RGB image of a target camera by using a fine positioning model, and finding a feasible target grabbing attitude by using a pre-trained 6D grabbing attitude prediction model; and the two arms are controlled to execute the grabbing action according to the target grabbing posture and placed at the preset position. The method can adapt to various complex scenes, and diversified grabbing is achieved.

The embodiment of the invention provides a human eye attention positioning method and device based on a pre-trained neural network, and the method comprises the steps: obtaining human eye movement data in real time through an eye movement tracking device, extracting feature information related to a human eye fixation region through a pre-trained neural network model containing an attention mechanism based on the human eye movement data, and obtaining a human eye attention positioning result. Inputting the extracted feature information into a regression model, and calculating space coordinates of a human eye fixation area according to the feature information through the regression model; according to the invention, accurate positioning of the human eye fixation area can be realized through pre-training the neural network model, and fixation tracking precision and response speed in a complex scene are significantly improved.

The invention discloses an intelligent identification method for high-position collapse geological disasters. The method comprises the steps that INSAR monitoring data, a radar topographic map and a remote sensing image map of a to-be-identified area are acquired; obtaining surface deformation information according to the INSAR monitoring data, and determining a hidden danger area according to the surface deformation information and a radar topographic map; registering the remote sensing image map of the hidden danger area based on the radar topographic map; and inputting the registered remote sensing image into a high-position collapse and slip identification model constructed based on CNN and RNN networks, and carrying out accurate identification on the high-position collapse and slip geological disaster point. According to the method, information of different data sources is fully utilized, the comprehensive capability and accuracy of geological disaster monitoring are improved, geological disaster monitoring is carried out on high-altitude collapse through multi-level and multi-angle analysis in combination with a deep learning network, the geological disaster occurrence place in a high-altitude area can be accurately recognized with high precision, and the geological disaster monitoring efficiency is improved. And scientific support is provided for geological disaster prevention and control work in high-altitude areas.

The invention discloses a tunnel disease data extraction and calibration method, and particularly relates to the technical field of tunnel disease detection. Comprising the following steps: S1, establishing a tunnel BIM model coordinate system; s2, calibrating the positioning precision of a high-definition camera and a three-dimensional laser scanner through a tunnel BIM model coordinate system; s3, collecting tunnel disease information by using a high-definition camera and a three-dimensional laser scanner; s4, extracting feature points of the tunnel disease information; and S5, converting the two-dimensional coordinates of the feature points into three-dimensional coordinates in an actual space. By adopting the technical scheme of the invention, the problem of low positioning accuracy in a traditional tunnel disease detection method is solved, the accuracy and efficiency of tunnel disease detection are improved, and the safety and stability of a tunnel structure are ensured.

The invention relates to the technical field of welding industrial robots, and discloses a damping device for an arm of a welding industrial robot, which comprises a base, a mechanical base, a mechanical arm and an end effector, and a second spring in a damping cylinder at the top end of the damping device is matched with a damping column I of the mechanical base; arm weight, dynamic load and ground vibration borne by the base are effectively dealt with, it is avoided that vibration is transmitted to the mechanical arm to affect welding precision, a second spring releases energy through deformation conversion during vibration, the mechanical base and the arm are subjected to shock absorption, and when shock absorption is not needed, the mechanical base and the arm can be tightly connected through a top bolt and other components and absorb energy through friction rubber. The fixing rod is taken down when the connecting position of the end effector does not need damping, the first spring conducts damping on the connecting position of the mechanical arm and the rotating connecting block, the situation that the welding position is not accurate due to track deviation of the mechanical arm is avoided, the fixing rod is used for limiting and fixing when damping is not needed, and a friction plate on a connecting column can absorb vibration impact; efficient and accurate welding operation and stable operation of equipment are guaranteed.

The invention discloses an underwater vehicle with a force feedback mechanical arm. The underwater vehicle comprises an upper shell, a mainboard, a lower shell, an electronic sealed cabin, a multi-degree-of-freedom mechanical arm, a ducted propeller and a current feedback module, wherein the electronic sealed cabin is embedded in the mainboard; the ducted propellers are fixedly connected with the main board and the lower shell respectively; the current feedback module is coaxially nested with a connecting piece of the multi-degree-of-freedom mechanical arm, and the sensing module, the control module and the energy and power module are arranged in the electronic sealed cabin in a layered mode and used for collecting external data and executing movement actions; the multi-degree-of-freedom mechanical arm comprises a bottom rotating device, a joint rotating device and a tail end clamping device and is used for achieving force feedback through current detection fed back by the current feedback module. According to the underwater vehicle, flexible clamping of a target object can be achieved, the electrical performance of the tail end executing mechanism is protected, and the force feedback precision and stability are remarkably improved; and the target object can be automatically grabbed.

The invention discloses a goods yard container positioning and identification system based on Beidou RTK positioning, the management level of a container goods yard is remarkably improved by applying Beidou RTK positioning, container number identification and visual analysis modules, the accurate position information of a gantry crane or a reach stacker is obtained in real time through the Beidou RTK technology, the positioning accuracy reaches the sub-meter level, and the positioning accuracy reaches the sub-meter level. The container number identification module uses a camera and a machine learning technology to automatically identify container numbers and replace manual input, the accuracy and efficiency of data entry are improved, informatization management of containers is realized, and the visual analysis module draws a goods allocation electronic map, so that the management efficiency of the containers is improved. Information such as the position, the container number, the size and the weight of the container is visually displayed, the state of the container position is monitored in real time, managers are assisted to optimize operation plans, and problems are found and solved in time.

The invention discloses a monocular camera visual angle vehicle three-dimensional information detection method based on deep learning, and the method comprises the steps: obtaining a vehicle three-dimensional detection data set in a monocular camera, carrying out the data processing of the vehicle three-dimensional detection data set, carrying out the supplementary marking, building a pre-trained vehicle three-dimensional detection network model based on a Center Net network structure, and carrying out the detection of the visual angle vehicle three-dimensional information of the monocular camera. Fusing a weighted multi-scale feature map fusion strategy into the vehicle three-dimensional detection network model, inputting a vehicle labeling three-dimensional detection data set into the target vehicle three-dimensional detection network model for training, and obtaining coordinates of a vehicle center point in an image, image coordinates of a vehicle three-dimensional frame vertex and three-dimensional size information of the vehicle, the three-dimensional centroid of the vehicle is calculated in combination with camera calibration parameters, the accurate vehicle type, the accurate three-dimensional space position, the accurate three-dimensional frame vertex and the accurate three-dimensional size can be obtained through image recognition, and accurate positioning of the vehicle in the three-dimensional space is achieved.

The invention discloses an irrigation device for root fertilization for tobacco planting and an irrigation method, and relates to the technical field of tobacco planting.The irrigation device comprises a walking device and a spray irrigation mechanism, the spray irrigation mechanism comprises two connectors and a spray pipe, and the two connectors are movably arranged at the top ends of the left side wall and the right side wall of a compartment respectively; a plurality of spraying pipes are uniformly and fixedly installed on each connector through bolts, each spraying pipe is of an arc-shaped structure, the unfolding driving mechanism comprises a driving plate, the driving plate is movably installed in the middle of the top end of the compartment in a sliding mode, and the driving plate is connected with the spraying pipes through bolts. And one end close to the spraying pipe is movably inserted into the front end of the carriage. According to the device, the sprinkling irrigation mechanism is designed and installed, tobacco leaves which are stopped from moving forwards are ejected open through the arc-shaped spraying pipe, the tobacco leaves are prevented from being damaged when the device moves forwards, water is sprayed through the spraying pipe, and therefore the device can conduct sprinkling irrigation on the roots of tobaccos in the moving process.

The invention provides a method and a system for judging a spontaneous combustion dangerous area of a goaf of a coal face, and relates to the technical field of coal mine safety monitoring. Geographic information system software is used for generating an initial geographic map, and a regular three-dimensional grid is created on the basis of the initial geographic map; accurate positioning and data consistency management of the goaf of the coal face are effectively realized, the abnormal sampling points can be accurately identified by setting a specific wavelength range, capturing spectral data of each sampling point by using an infrared spectrum and calculating the relative radiation intensity and the radiation deviation degree of each sampling point, and the accuracy of the abnormal sampling points is improved. Through obtaining neighbor sampling point data of an abnormal sampling point, calculating a uniform distribution index, realizing risk grade marking of the abnormal sampling point, comprehensively considering distribution density, relative radiation intensity and geographic position information of the abnormal sampling point, and generating a spontaneous combustion risk index, comprehensive assessment and timely early warning of goaf spontaneous combustion risk are realized.

The invention relates to the technical field of machining, in particular to a multi-material combined deep hole machining method, a positioning block, a cutter and a part. Through rough machining of the bottom hole in the single-piece state, the difficulty of direct machining after multiple materials are combined is effectively reduced, the machining efficiency is improved, and the precision of the hole diameter is guaranteed. The roughly machined bottom holes of all the assembly parts are aligned and positioned, the deep holes to be machined are machined through a reaming milling cutter, and reamed holes are obtained; the axis deviation of the hole can be corrected, and an accurate reference is provided for subsequent machining. A reamer is used for machining a reamed hole, and a reamed hole milling cutter in a rear guiding mode is used for machining; deflection and vibration in the machining process are effectively restrained in the process, and the quality of machined holes is guaranteed. And the pre-machined deep hole is machined through a front guiding type reamer, so that the hole diameter of the pre-machined deep hole is enlarged to the target hole diameter, and machining of the multi-material combined deep hole is completed. The problems that in the prior art, machining precision is poor and efficiency is low in deep hole machining of various material combinations are solved.

The invention relates to the field of intelligent security and protection monitoring, and particularly discloses an intelligent security and protection monitoring platform and system based on a computer, and the method comprises the steps that an information collection unit collects a security event type, a dangerous event type and real-time monitoring data obtained by a plurality of cameras; the information processing unit screens and acquires abnormal behavior information according to the preprocessed security event type and dangerous event type and marks the abnormal behavior information; performing abnormal behavior information identification on the plurality of cameras; the network construction unit determines a target camera and constructs a target camera network; the security and protection monitoring unit obtains a real-time monitoring data set of all target cameras in the target camera network within the time period; the information analysis unit performs target detection analysis on the real-time monitoring data set acquired by the plurality of target cameras, and judges whether an abnormal target individual exists in a target frame: if yes, acquiring a feature coding sequence of the abnormal target individual under the plurality of different cameras; and if not, continuing security and protection monitoring.

The invention discloses an LED display screen fault detection method and system. The method comprises the following steps: collecting a display image of an LED display screen; preprocessing the display image; inputting the pre-processed display image into a pre-trained convolution gating circulation deep learning model to detect whether the LED display screen has a fault or not; if a fault is detected, classifying and positioning the fault; and performing hybrid effect analysis to evaluate the influence of environmental factors and operating parameters on the fault. The invention also provides an LED display screen fault detection system for realizing the method. According to the method and the system, efficient and accurate detection of faults of the LED display screen can be realized, deeper fault diagnosis is provided through hybrid effect analysis, and the maintenance efficiency and the reliability of the LED display screen are effectively improved.

The embodiment of the invention provides a laser direct-writing image detection method, a laser direct-writing image detection system and related equipment, which realize accurate positioning of an image deformation area position on a complete exposure breadth and measurement of deformation quantity by detecting the offset of light spots of different lasers in the horizontal direction at the same moment. The method comprises the following steps: arranging a plurality of groups of non-repeated binary images to be ranked in the horizontal direction to form an image sequence, and carrying out binarization processing on the image sequence to obtain the position of a laser exposure point; in a synchronous scanning process of a plurality of lasers in the laser array, controlling each laser to expose a mapping position of an exposure point on a photosensitive coating in an image sequence by using a synchronous switch instruction so as to respectively form a latent image of the image sequence in a respective scanning area of each laser; and if the plurality of developing image sequences are not aligned in the horizontal direction from the target binary images in the same sequence, detecting coordinate values of difference points of the target binary images in each developing image sequence in the horizontal direction.

The invention discloses a drilling depth positioning device for machining, and relates to the technical field of drilling equipment auxiliary machining devices.The drilling depth positioning device comprises a positioning frame installed on drilling equipment and a positioning sleeve rotationally arranged on a drilling rod in a sleeving mode, a guide rod is fixedly arranged on the positioning frame, and a stroke block and a positioning block are arranged on the guide rod in a sliding mode; the stroke block is fixedly connected with the positioning sleeve; a trigger device used for detecting contact between the drill bit and the surface of the tool is arranged on the positioning sleeve and electrically connected with a control system, a driving assembly used for driving the positioning block to slide is arranged on the positioning frame, and the control system is electrically connected with the driving assembly. A contact switch is arranged on the positioning block and electrically connected with the control system, and the control system is electrically connected with the drilling equipment and used for controlling starting and stopping of the drilling equipment. According to the drilling device, the drilling depth can be accurately positioned, so that the drilling precision is guaranteed, and the drilling machining efficiency is effectively improved.

The servo automatic sawing and milling equipment comprises a rack; a clamping and fixing mechanism is fixedly mounted on the rack; the three clamping and fixing mechanisms are located at the two ends and the middle of the rack correspondingly. The clamping and fixing mechanism comprises a clamping and fixing frame; the two sides of the clamping fixing frame are each fixedly provided with a clamping push cylinder, and each clamping fixing frame is provided with a clamping block in a sliding mode. The output ends of the two clamping push cylinders are fixedly connected with the corresponding clamping blocks correspondingly. The two ends of the rack are each fixedly provided with a two-axis servo moving mechanism, and the output end of each two-axis servo moving mechanism is fixedly provided with a milling cutter motor. A milling cutter is fixedly mounted on an output shaft of each milling cutter motor; according to the utility model, the processing speed is greatly increased, so that the output in unit time is higher; and the sawing function is achieved, sawing machining and milling cutter machining are integrated, and space is saved.

The invention discloses an intelligent inspection method and device for power equipment based on two-way communication, and the method comprises the steps: carrying out the coding of the to-be-inspected power equipment, collecting the operation and maintenance data flow of the power equipment, and obtaining an equipment identification code database through data association mapping and packaging; based on an electromagnetic receiving system, an electromagnetic transmitting system and an optical ranging system, performing dual ranging verification to obtain distance information of the target power equipment; information decoding is carried out on the received electromagnetic carrier waves, a target equipment identification code is obtained, distance information of associated target power equipment is positioned, and the target power equipment and a target operation maintenance data stream are determined; and executing the preset inspection task through the unmanned aerial vehicle equipment, and determining the inspection information of the target power equipment. The technical problem that an existing unmanned aerial vehicle inspection technology is prone to being interfered by complex terrains, and inspection marking errors are caused is solved, and the inspection accuracy and inspection efficiency of the power equipment are improved.

The invention relates to the technical field of formwork equipment, in particular to an integral rotating formwork and a lower formwork rotating control system and method. Robots on some existing automatic production lines need accurate angle control to ensure accurate placement of inserts and rapid mold closing operation of a mold frame, so that the application of the existing rotatable mold frame on the automatic production lines is limited to a certain extent due to poor rotation precision, and the problem that the existing rotatable mold frame cannot be applied to the automatic production lines is solved. The control system comprises the man-machine interaction unit, the control unit and the driving unit, an operator inputs the rotating angle of the lower die through the man-machine interaction unit, the control unit calculates the rotating angle of the lower die frame driving piece according to the rotating angle of the lower die, and therefore the lower die frame driving piece of the driving unit is controlled to rotate; the effect of accurately controlling the rotating angle of the lower die frame is achieved.

The present invention provides a life detection method and system based on radar signal processing, which relates to the technical field of radar signal processing. The method and system include collecting radar echo signals in a target area, controlling a phased array radar transmitting antenna array to transmit an orthogonal frequency division multiplexed dual-frequency continuous wave radar signal, inputting the processed radar echo signal into an orthogonal demodulation module for synchronous coherent demodulation to obtain a baseband signal; inputting a feature vector into a multi-task deep learning network with an integrated attention mechanism for feature fusion and target recognition to obtain a second processed signal; obtaining a target feature spectrum by calculating the time-frequency distribution of the second processed signal, judging whether there is a life form in the target area according to the time-varying characteristics of a respiratory frequency component and a heartbeat frequency component and the law of amplitude fluctuation; if it is determined that there is a life form in the target area, calculating the three-dimensional spatial coordinates of the life form through a multi-base station collaborative positioning algorithm, and outputting a detection result containing the three-dimensional spatial coordinates and the life form feature information.

The invention relates to the technical field of formwork equipment, in particular to an upper formwork rotation control system and method. Robots on some existing automatic production lines need accurate angle control to ensure accurate placement of inserts and rapid mold closing operation of a mold frame, so that the application of the existing upper mold frame on the automatic production lines is limited to a certain extent due to poor rotation accuracy, and the problem that the existing upper mold frame cannot be applied to the automatic production lines is solved. The control system comprises the man-machine interaction unit, the control unit and the upper mold frame driving unit, an operator inputs the upper mold rotation angle through the man-machine interaction unit, the control unit calculates the rotation angle of the upper mold frame driving part according to the upper mold frame rotation angle, and then the upper mold frame driving part controls the upper mold frame to rotate. The effect of accurately controlling the rotating angle of the upper die frame is achieved.

The welding equipment for the chassis assembly of a children's toy car relates to the technical field of welding equipment, including a support platform, the support platform is a horizontally arranged square platform, a welding workbench is provided on the support platform for lifting, the welding workbench is a horizontally arranged square platform, a loading and unloading conveying assembly is provided along the support platform in the horizontal direction, and a multi-point welding assembly, a wheel guard plate clamping assembly, a side panel clamping assembly and a frame positioning assembly are provided on the welding workbench. The invention solves the problems that when the welding equipment in the traditional technology is used for the chassis welding assembly of the children's toy car, the welding parts of different shapes and sizes exist, which makes the clamping and positioning inconvenient, affects the welding quality, the welding equipment with a single function cannot adapt to multi-point welding, reduces the welding efficiency, and the chassis loading and unloading methods before and after welding are poor in versatility, which destroys the continuity of welding conveying.

The utility model relates to a conveying device, in particular to a conveying device for FPC (flexible printed circuit) laser cutting, which comprises a fixed conveying line fixedly mounted on a frame, a movable conveying line movably mounted on the frame and opposite to the fixed conveying line, and a width adjusting device mounted on the frame and connected with the movable conveying line. The distance adjusting device is used for adjusting the distance between the movable conveying line and the fixed conveying line. The side pushing device is arranged on the movable conveying line and used for pushing the cutting jig to a fixed side plate of the fixed conveying line. The upper pressing plate is arranged on the fixed conveying line and the movable conveying line; the jacking device is arranged on the fixed conveying line and the movable conveying line and used for pressing the cutting jig below the upper pressing plate. And the positioning device is arranged on the movable conveying line and used for positioning the position of the cutting jig. According to the conveying device, the width can be adjusted according to the cutting jig, the conveying device is suitable for various cutting jigs, the positioning accuracy is high, fixing during laser cutting is achieved through the jacking device and the upper pressing plate, and the cutting accuracy is improved.

The invention relates to the technical field of intelligent cable monitoring, and discloses a monitoring method and system for an embedded distributed optical fiber intelligent sensing cable. The method comprises the following steps: acquiring cable feature information; carrying out calculation to obtain a light pulse relative distance; calculating to obtain relative time delay of the optical pulse; fitting calculation is carried out to obtain an optical pulse fitting distance and an optical pulse fitting time delay; carrying out difference calculation to obtain a time delay deviation value; when the time delay deviation value is greater than a preset time delay threshold value and the deviation between the vibration phase distribution value and a preset phase distribution value is greater than a preset deviation threshold value, performing calculation to obtain optical fiber microbend loss; when the micro-bending loss of the optical fiber is greater than a preset loss threshold value, acquiring ant colony feature data; calculating to obtain an ant colony activity coefficient and an ant colony density; and when the ant colony activity coefficient is greater than a preset ant colony activity coefficient threshold and the ant colony density is greater than a preset ant colony density threshold, performing cable evaluation protection operation. According to the method, the interference position on the cable can be accurately positioned.

The invention discloses a low-disturbance cutting control method and system for a heading machine, and the method comprises the steps: generating a roadway section contour through the type and size information of a pre-cut roadway, setting a roadway boundary target point, planning a cutting path of the heading machine, and carrying out the setting of a parameter theoretical value through the real-time detection of working parameter information. And comparing the parameter signal with a theoretical set value, judging the position of the cutting head in a roadway, selecting an optimal cutting motion parameter, controlling the rotating speed of the tunneling cutting head and the motion of a cutting arm in real time, and realizing low-disturbance cutting. The position information of the cutting head in the cutting process can be accurately judged in real time, cutting operation parameters are optimized, high-speed low-disturbance cutting at the edge position of a roadway or at the position where obstacles exist is achieved, the situation that the heading machine cuts a top plate and meanwhile reduces the swing speed of the cutting arm when cutting hard rock is effectively avoided, vibration of the cutting head and a machine body is reduced, and the cutting efficiency of the heading machine is improved. Abrasion and damage of cutting teeth of the cutting head are reduced, roadway section forming quality is improved, and surface flatness of a top plate and a bottom plate is guaranteed.

The invention relates to the technical field of metallurgical part post-processing, in particular to metallurgical part forming post-processing equipment and method.The metallurgical part forming post-processing equipment comprises a workbench, and a linear guide rail is arranged on the upper surface of the workbench. Comprising the following steps of feeding and conveying, positioning and locking, up-and-down staggered grinding, rotary grinding and unlocking and discharging, a plurality of spline rotors are conveyed through a linear guide rail and a moving seat, automatic grinding is conducted through an up-and-down staggered grinding mechanism and a driving rotary grinding mechanism, and batch circulating conveying type automatic grinding is achieved; integrated accurate positioning and locking fixing of a plurality of spline rotors are achieved through the positioning and locking mechanism, stable clamping and fixing of the spline rotors are achieved through the step sleeve and the hollow triangular chuck, and limiting and fixing between the grinding head and the step sleeve are achieved by inserting the positioning insertion pin into a center hole of the step sleeve.

The invention discloses a digital laying construction method for subway prefabricated rubber spring floating slabs, and relates to the technical field of rail transit. Comprising the following steps: S1, construction preparation; s2, binding and pouring steel bars of a base; s3, measuring the flatness of the substrate; s4, digitally measuring and positioning a floating slab line; s5, roughly paving the floating slabs; s6, primarily measuring the jacking amount of the floating slab vibration isolator; s7, the floating slab is finely adjusted; S8, an adjusting base plate is installed, and limiting boss steel bars are bound and poured; and S9, steel rail fastener installation and rail fine adjustment. The digital laying technology is adopted for controlling all links of laying, the problems existing in floating slab track bed construction are effectively solved, accurate positioning of the floating slabs is achieved, the track precision is improved, the situation that due to floating slab laying precision deviation, a large amount of rework is caused, and the smoothness index cannot meet the requirement in the operation period is avoided, and the construction efficiency is improved. The construction period and cost are saved for construction, the maintenance cost within the guarantee period is reduced, and the operation and maintenance cost is reduced.

The utility model relates to a ridge cap mounting node, which comprises a ridge cap, a metal roof panel, a purline and a metal outer plug, the bottom surface of the metal roof panel is fixedly connected with the purline, the metal outer plug, the ridge cap and the metal roof panel are all provided with prefabricated holes, and waterproof adhesive tape is laid on the top surface of the metal roof panel along the prefabricated holes. The bottom of the metal outer plug is adhered to the waterproof adhesive tape on the top face of the metal roof board, the waterproof adhesive tape is also laid on the top face of the metal outer plug, and the ridge cap is placed on the metal outer plug and fixed to the metal outer plug through the suturing nails. The metal outer plug is arranged between the ridge cap and the metal roofing board, and the ridge cap is fixed on the metal outer plug, so that the problem of coating damage caused by direct connection of the ridge cap and the metal roofing board is avoided.

The invention provides an image geographic positioning method, device and equipment based on a multi-modal large model, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining a training data set which comprises a plurality of images; for each image, performing global positioning system (GPS) coordinate characterization of equal earth projection on the GPS coordinate features of the image, and performing coding based on random Fourier features to obtain GPS coordinate feature vectors of the image; for each image, carrying out image-text collaborative coding on the image to obtain a collaborative coding feature vector generated by fusing the image feature and the text feature of the image; inputting the GPS coordinate feature vector and the collaborative coding feature vector into a large model, carrying out multi-modal comparison training on the large model based on the embedding similarity of the GPS coordinate feature vector and the collaborative coding feature vector to obtain a trained large model, inputting a to-be-positioned image into the trained large model, and carrying out multi-modal comparison training on the large model to obtain a to-be-positioned image. And outputting the longitude coordinate value and the latitude coordinate value of the to-be-positioned image.