6788 results about "Curtain wall" patented technology

The invention provides a curtain wall deformation condition safety detection method and device based on laser point clouds, and relates to the technical field of constructional engineering, and the method comprises the steps: 1, carrying out the coordinate system unification processing of a three-dimensional point cloud data set covering the whole surface of a curtain wall, generating a curtain wall surface digital twin model, and carrying out the coordinate system unification processing of a three-dimensional point cloud data set covering the whole surface of the curtain wall in the digital twin model; defining a first detection target point and a second detection target point according to geometrical characteristics and material joint characteristics of the curtain wall sheet; 2, according to the digital twinborn model, surface normal vector distribution characteristics are extracted, actually-measured wind pressure load distribution data and temperature field parameters are fused, a dynamic flexural deformation coupling calculation model is constructed, and global deformation parameters and local deformation parameters are output. According to the invention, the digital twinborn model is constructed through point cloud data processing, deformation and displacement parameters are extracted, the safety coefficient is evaluated, and high-precision, omnibearing and dynamic detection and safety risk early warning of the flatness of the building outer wall are realized.

The invention relates to an existing building glass curtain wall operation and maintenance method and system based on a digital base. The method comprises the following steps that curtain wall vibration response data, visible light image data and three-dimensional point cloud data are obtained; based on the curtain wall vibration response data, comparing the current modal parameter with the historical modal parameter, and determining the dynamic characteristics of the curtain wall panel; identifying the curtain wall apparent damage type and the corresponding damage degree based on the visible light image data; based on the three-dimensional point cloud data, a curtain wall live-action three-dimensional point cloud model is constructed and mapped into a numerical model, a local stiffness reduction coefficient is calculated based on curtain wall panel dynamic characteristics, curtain wall apparent damage types and corresponding damage degrees, and a local stiffness matrix of a corresponding unit or node in the numerical model is corrected; and performing finite element analysis on the corrected numerical model to realize performance evaluation and deduction of the glass curtain wall. Compared with the prior art, the method has the advantages that the performance change of the glass curtain wall can be accurately and dynamically sensed and predicted, and the like.

The invention discloses an intelligent safety monitoring method and system for a glass curtain wall, electronic equipment and a storage medium, and relates to the technical field of curtain wall detection. The method comprises the following steps: acquiring multi-source image data of an external facade of the glass curtain wall, wherein the multi-source image data comprises a front view image, an infrared thermal imaging image and an ultraviolet spectrum image of the glass curtain wall, which are acquired at different time periods and different angles; performing registration fusion and identification analysis on the multi-source image data to obtain crack characteristics, deformation characteristics and temperature distribution characteristics of the surface of the glass curtain wall; establishing an abnormal characteristic spectrum of the glass curtain wall based on the crack characteristics, the deformation characteristics and the temperature distribution characteristics; performing spatio-temporal evolution analysis on the abnormal characteristic spectrum to determine a multi-level risk area of the glass curtain wall; and generating a monitoring report of the glass curtain wall according to the multi-level risk area. By implementing the technical scheme provided by the invention, comprehensive monitoring of the glass curtain wall can be realized, so that the monitoring accuracy of the glass curtain wall is improved.

The invention relates to the technical field of path planning, and discloses a robot mechanical arm path planning method and system for curtain wall cleaning. According to the method, collected data are fused through a depth camera, a laser radar and an inertial measurement unit, a dynamic environment topological map is constructed, and accurate environment perception is achieved. A self-adaptive grid method and an improved spiral traversal algorithm are adopted, a global traversal path covering a cleaning area is generated, the joint motion trail of the mechanical arm is optimized in a layered mode, and motion accuracy and stability are ensured. And meanwhile, the dynamic control module monitors obstacles in real time, the joint track is adjusted online through local track re-planning, it is guaranteed that cleaning operation is safe and continuous, the cleaning pressure is adjusted in real time, and it is guaranteed that the cleaning quality is stable and consistent.

The invention relates to the technical field of curtain walls, and discloses a measuring device for processing a hyperbolic aluminum plate. Comprising a detection truss body used for providing a movable supporting structure; the laser detection instrument is mounted on the detection truss body and is used for performing three-dimensional scanning on the hyperbolic aluminum plate and generating point cloud data; the reference correction instrument is used for calibrating and detecting the reference position of the truss body; the control module is used for scanning a ground plane reference corresponding to the measuring device for machining through a reference correction instrument, and obtaining an X-axis deviation value and a Y-axis deviation value of the detection truss body and the ground plane reference and a Z-axis deviation value corresponding to the detection truss body; according to the X-axis deviation value, the Y-axis deviation value and the Z-axis deviation value, a reference correction instrument is controlled to calibrate and detect the reference position of the truss body; and controlling the laser detection instrument to walk according to a preset path, executing a scanning program to generate a three-dimensional format file, and performing fitting comparison on the three-dimensional format file and a design model corresponding to the hyperbolic aluminum plate to complete three-dimensional shape detection of the hyperbolic aluminum plate.

The invention discloses an intelligent monitoring method and system for the construction progress of a building decoration curtain wall. The method comprises the steps that multi-source construction data of a construction site are collected through Internet of Things equipment and a high-definition camera; constructing a multi-dimensional tensor model and extracting data association features by applying a local reversible mapping algorithm to generate a standardized feature data set; performing parallel computing through shared memory hierarchical process mapping by utilizing the standardized feature data set, and outputting a project progress state evaluation result; constructing a decision diagram based on the project progress state evaluation result, and generating a construction progress deviation report; predicting a construction progress trend by adopting a sample optimal private regression algorithm and generating an optimization scheme; and visually displaying the construction progress prediction report and carrying out early warning. According to the invention, the problems of low data integration efficiency, delayed decision response and weak multi-dimensional data association analysis capability of traditional curtain wall construction monitoring are solved, and intelligent and efficient monitoring of the construction progress of the building decoration curtain wall is realized.

The invention relates to the technical field of building curtain wall keel structure design, and discloses a curtain wall keel structure intelligent optimization design method, which comprises the following steps: firstly, obtaining geometric parameters, load distribution data and material performance indexes, and verifying the geometric parameters, the load distribution data and the material performance indexes; analyzing the verified data to generate multi-dimensional structure characteristic parameters, and constructing a structure optimization reference model; keel structure data are verified in real time according to the model, and abnormal matching of node displacement and stress distribution is quantitatively evaluated; according to a verification result, generating a structural anomaly index to judge a design defect; and when defects exist, optimization design schemes including keel section adjustment, node reinforcement and the like are automatically generated and sequenced. According to the method, multiple factors are comprehensively considered, multi-objective optimization is achieved, the curtain wall keel structure design quality and efficiency can be improved, the structure safety is guaranteed, and the cost is reduced.

The invention discloses a fabricated building curtain wall assembly control system and method in the technical field of building industrialization. The method comprises the steps that building curtain wall assembly data are obtained; respectively inputting the building curtain wall assembly data into the module adaptation degree calculation model, the dynamic load distribution calculation model and the connection efficiency evaluation function calculation model to obtain an adaptation degree coefficient, a dynamic load value and a connection efficiency index; performing dynamic adaptation on the curtain wall unit and the building main body structure based on the adaptation degree coefficient; performing real-time positioning deviation compensation in the installation process based on the dynamic load value; and performing quantitative control on the connection node strength and the overall load distribution based on the connection efficiency index. Compared with the limitation of geometric accuracy and structure safety separation control in the traditional process, the scheme synchronously completes curved surface matching degree improvement and aerodynamic performance optimization in the curtain wall unit installation process, and the industrial pain point that modeling accuracy and wind resistance of a special-shaped curtain wall are difficult to consider at the same time is fundamentally solved.

The invention relates to a BIM (Building Information Modeling)-based digital pre-assembly method and system for a glass curtain wall, and relates to the technical field of data processing, and the method comprises the following steps: determining geometric parameters and installation position parameters of each component; the method comprises the following steps: acquiring point cloud data of a construction site through three-dimensional laser scanning, performing multi-source data registration on the point cloud data, and calculating to obtain a point cloud registration error; determining a feature matching degree based on the point cloud registration error; obtaining a positioning optimization target according to a deviation analysis result and an engineering constraint condition; according to the positioning optimization target, an assembly precision evaluation value is obtained through calculation; based on the assembly precision evaluation value, the correction value of the glass curtain wall in the pre-assembly process is determined; and calculating a comprehensive quality score based on the assembly precision evaluation value, the point cloud registration error, the feature matching degree and the correction value, and determining to adopt a corresponding pre-assembly scheme when the comprehensive quality score is greater than a preset threshold value. The pre-assembly accuracy of the glass curtain wall can be improved.

The invention discloses a curtain wall structural adhesive damage detection method and device based on modal difference and digital twinning, and belongs to the technical field of digital twinning structural adhesive damage detection and evaluation. The problem that in the prior art, a traditional glass curtain wall structural adhesive damage detection and evaluation method based on the first-order inherent frequency is not sensitive to local boundary adhesive failure, and consequently the specific damage position cannot be positioned is solved. The method comprises the following steps: acquiring vibration data of a group of hidden framing glass curtain walls to be detected and a group of hidden framing glass curtain walls in a lossless state to obtain normal acceleration time history data; primarily screening second-order and third-order inherent frequencies, and judging whether the structural adhesive is damaged or not according to a difference constraint condition; further positioning the damage by using the boundary relative curvature modal difference, and judging whether the current measuring point is a damage point or not; and constructing a digital twinborn model and damage early warning, and outputting a parameter report and a visual damage evaluation result. The method effectively improves the boundary damage positioning precision, and can be applied to glass curtain wall structural adhesive damage detection.

The invention belongs to the technical field of building project management, and particularly relates to a building curtain wall assembly management technology, in particular to a building engineering project management intelligent system and method. A three-dimensional matrix including component identification, material consumption, a planned entering time window and a material sensitivity label is constructed based on a component entering plan; meanwhile, a construction site space model is established, the occupation state of a three-dimensional matrix simulation material storage yard is loaded in the model according to a component entering plan, and component entering is dynamically optimized by comprehensively considering storage yard space overlapping and meteorological adaptability factors in combination with meteorological prediction data in an assembly time window; prejudgment and adjustment of the assembly plan before implementation are realized, and the change frequency in the actual execution process is effectively reduced, so that the waste of manpower and material resources is remarkably reduced, and the stability and efficiency of a construction organization are improved.

The invention discloses an urban green land carbon sink metering method and system based on multi-source data fusion, and relates to the technical field of environmental monitoring, and the method comprises the steps: collecting urban green land multi-source data, and carrying out the preprocessing; performing parameter completion on vegetation in the building shielding blind area by adopting a dual-channel generative adversarial network to obtain complete green land leaf area index distribution data; simulating a reflected light path of a building glass curtain wall by using a ray tracing algorithm, obtaining a photosynthetically active radiation correction coefficient received by a vegetation canopy, and identifying urban green land carbon sink distribution data through multi-scale data fusion; and obtaining a carbon sink amount error based on the urban green land carbon sink amount distribution data, performing dynamic correction through a Bayesian optimization algorithm, and generating an urban green land carbon sink amount measurement report. According to the method, the adversarial network is generated through two channels, and the cooperative training mechanism of the U-Net generator and the PatchGAN discriminator is utilized, so that the high-precision spatial continuity reconstruction of the leaf area index of the building shielding blind area is realized.

The invention relates to the technical field of building steel structure construction, and provides a closed-loop control method for segmented construction of a special-shaped curtain wall steel structure, and the method comprises the steps: S101, carrying out the three-dimensional scanning of a to-be-installed component and a supporting jig frame, building a coordinate system through a positioning target, and obtaining point cloud data; step S102, extracting component splicing key points, matching point cloud with a design model, performing collision detection and generating pre-splicing positioning data; s103, converting the positioning data into a visual instruction, and guiding the component to be accurately in place in combination with the real-time hoisting data; s104, after installation, a seam area is scanned, and a new entering component is reinspected; s105, the step S102 to the step S104 are repeated until all the components are installed; and S106, integrally scanning to generate a completion model, comparing the completion model with the design model, and outputting a construction quality acceptance report. According to the technical scheme, the construction precision, efficiency and construction quality of the special-shaped curtain wall steel structure are collaboratively optimized by constructing a closed-loop control process.

The invention relates to a deep learning curtain wall cleaning parameter optimization control method and system, and relates to the technical field of curtain wall cleaning, and the method comprises the steps: obtaining the curtain wall attribute information of a target curtain wall, and determining a curtain wall partitioning scheme; configuring a basic operation scheme according to the curtain wall attribute information and the curtain wall partitioning scheme; controlling the curtain wall cleaning all-in-one machine according to a preset cleaning sequence, and acquiring a first curtain wall image through an image acquisition unit; extracting a first area operation parameter, and obtaining a first optimization operation parameter; and configuring a cleaning unit, a spraying unit and a drying unit according to the first optimized operation parameters, and controlling the curtain wall cleaning all-in-one machine to sequentially execute cleaning, spraying and drying operations. The problems that traditional curtain wall cleaning operation is single in parameter configuration and cannot adapt to complex pollution scenes are solved, curtain wall attribute analysis, regional dynamic partitioning and operation parameter real-time optimization are conducted through deep learning, intelligent precise control over the whole curtain wall cleaning process is achieved, and the cleaning efficiency is improved.

The invention relates to the field of unmanned aerial vehicle surveying and mapping and building three-dimensional modeling, and discloses a high-rise building three-dimensional modeling surveying and mapping method based on unmanned aerial vehicle laser scanning, and the method comprises the following steps: deploying a laser radar, a millimeter wave radar, a polarized light camera and an intelligent blind area supplement unmanned aerial vehicle for cooperative scanning, and generating an optimal path through topological manifold learning; multi-source point cloud high-precision registration is achieved through geometric algebra and Lie group optimization, multi-sensor heterogeneous data are fused in combination with tensor decomposition, blind area dynamic adjustment paths are detected in real time, and finally a complete three-dimensional building model is generated. According to the method, the modeling precision and data integrity of a complex building structure (such as a glass curtain wall) can be remarkably improved, the problems of scanning blind areas and equipment single-point failure are effectively avoided, and an efficient and robust solution is provided for high-rise building three-dimensional modeling.

The invention discloses a unit type curved surface curtain wall installation device and method, and relates to the technical field of curtain wall construction, and the unit type curved surface curtain wall installation device comprises a plurality of detection units which are respectively installed on each control point on a unit structure body and are used for detecting actual measurement coordinates of the corresponding control points; the fine adjustment mechanism is connected to the lower end of the hoisting belt of the crane and is used for finely adjusting the position of the unit structure body; the control module is electrically connected to the detection unit and the fine adjustment mechanism; wherein the control module is configured to obtain actual measurement coordinates of each control point fed back by the detection unit; comparing the actually measured coordinates of each control point with pre-stored theoretical coordinates in a BIM model to obtain a deviation value of each control point; performing overall pose analysis based on the deviation value to obtain a pose deviation of the unit structure body in the space; generating a movement control quantity corresponding to each control point based on the pose deviation; and sending a movement control instruction to the fine adjustment mechanism according to the movement control quantity. The installation method has the effect of improving the installation efficiency.

The invention provides an intelligent pressure fluctuation detection and regulation system for a building curtain wall, relates to the technical field of intelligent control and wind pressure regulation, and integrates five modules of data acquisition, credibility evaluation, dynamic wind pressure prediction, cooperative regulation and fault-tolerant guarantee to construct a high-precision wind pressure sensing and closed-loop control system. Rejecting failure nodes by evaluating the credibility of real-time data; a wind pressure trend is predicted based on an LSTM model in combination with a typhoon path, a current prediction error parameter Epr is calculated, and an error threshold E is dynamically compared to guarantee prediction reliability; a multi-objective optimization function is adopted to balance related parameters, a regulation and control instruction set is generated, and millisecond-level response and emergency switching are supported; the reconstruction module utilizes Dk1 (t), Dk2 (t) and Drec (t) to repair missing data, and a standby mechanism is started to guarantee continuous operation when necessary; meanwhile, a regulation and control instruction is dynamically and finely adjusted and closed-loop optimization is And the robustness, the response precision and the regulation and control stability of the system in high-humidity and strong-typhoon environments are remarkably improved.

The invention relates to a three-dimensional adjustable hyperbolic special-shaped GRC curtain wall system, and belongs to the technical field of curtain walls. The three-dimensional adjustable hyperbolic special-shaped GRC curtain wall system comprises a keel frame, a curtain wall plate and a connecting cross rod, the connecting cross rod is fixedly connected to the end, facing the keel frame, of the curtain wall plate, and the surface of the connecting cross rod is sleeved with a connecting component in threaded connection with the keel frame; the connecting component comprises a first locking assembly in threaded connection with the keel frame, the top of the first locking assembly is fixedly connected with a depth adjusting assembly, and the top of the depth adjusting assembly is fixedly connected with a lateral adjusting assembly; an installation worker can trigger the anti-loosening assembly to discharge the liquid sealant while installing the second locking assembly, and the connecting components are integrally bonded and fixed together, so that the problem that an existing hyperbolic special-shaped GRC curtain wall system with a three-dimensional adjustable function is prone to loosening and even falling off due to the influence of external force is solved.

The present invention belongs to the technical field of welding equipment, and in particular relates to a welding machine for the construction framework of building curtain walls, which includes a base, and also includes: an automatic welding mechanism, a pressurizing and stabilizing mechanism, multiple groups of positioning and locking mechanisms, a mechanism for adjusting the magnitude of the applied pressure, a mechanism for synchronously feedbacking the thickness of the framework, a welding current control mechanism, a welding speed control mechanism, and a PLC controller. The present invention can perform fast and stable automatic welding operations on the curtain wall framework, effectively improving the welding quality and welding efficiency, and can automatically adjust the magnitude of the welding current based on the thickness of the framework. When the increase degree of the welding current reaches the threshold value, the welding speed can be automatically reduced, so that more heat can act on the weld seam per unit time, ensuring that the weld seam is completely penetrated. During the welding process, additional pressure can be applied to ensure the stable contact of the transverse and longitudinal splicing members, ensuring the welding quality.

The invention provides a building curtain wall deformation degree detection method and system, and relates to the technical field of intelligent building monitoring, and the method comprises the steps: obtaining multi-modal curtain wall data of a target building curtain wall based on a multi-modal data collection network; constructing a curtain wall deformation detection model, inputting the multi-modal curtain wall data into the curtain wall deformation detection model, and generating a curtain wall deformation detection result; based on a three-level alarm response mechanism, triggering an alarm response of a corresponding level according to a curtain wall deformation detection result; based on a model closed-loop optimization mechanism, parameters of the curtain wall deformation detection model are correspondingly adjusted, so that comprehensive, accurate and real-time detection and early warning can be performed on the deformation degree of the building curtain wall, the requirement of manual intervention is greatly reduced, the curtain wall detection efficiency is improved, meanwhile, the continuous operation capability and the immediate response characteristic of a detection system are guaranteed, and the detection accuracy is improved. And the safety and the reliability of the building curtain wall are improved.

The invention discloses a water-cooling refrigeration station system optimization control method for a public building, and relates to the technical field of exhibition hall refrigeration control, and the method comprises the steps: carrying out the three-dimensional dynamic grid modeling of the whole exhibition hall space, monitoring the basic sensible heat and solar radiation conditions in the exhibition hall in real time, obtaining the heat load weight, and dividing the exhibition hall into different regions; according to the heat source distribution value of each exhibition hall partition, a physical field coupling thermal load prediction model is set, and thermal load prediction values of the exhibition hall partitions are predicted in combination with airflow, heat conduction and solar radiation heat absorption of the glass curtain walls; according to the thermal load threshold value, whether the next step is carried out or not is judged; and a rotational flow air port with an angle adjusting mechanism is installed beside the main machine room, and the air supply angle and the air speed are adjusted according to the thermal load predicted value of the exhibition hall partition. The problems that when a large-area French window or a glass curtain wall is directly irradiated by sunlight in summer, instantaneous large load increase is caused, and air supply dead corners and uneven layering are caused by a high-density showcase and a temporary partition are solved.

The invention provides a BIM model-based curtain wall installation process simulation method and system, and the method comprises the steps: firstly obtaining a BIM model set comprising a building main structure model, a curtain wall component model and an installation auxiliary facility model, and then carrying out the element association processing of the BIM model set, and obtaining an associated BIM integration model, and generating a curtain wall installation process network based on the integrated model, determining an installation sequence, auxiliary facility types and spatial constraint conditions, performing dynamic installation process simulation according to the curtain wall installation process network, and generating an installation simulation report containing a spatial interference detection result and a process time connection record. And finally, iteratively adjusting the process network according to the installation simulation report to obtain an optimized curtain wall installation process scheme to guide actual construction, so that the quality, efficiency and safety of curtain wall installation can be improved.

The invention discloses a building curtain wall hoisting control system based on spatial pose sensing and positioning. The building curtain wall hoisting control system comprises a control platform, a sensing and positioning module, a deviation analysis module, an environmental data acquisition module, a deviation correction control module and a verification and evaluation module, according to the method, a preset hoisting track generated based on a time sequence is constructed, real-time sensing data based on the time sequence is obtained through multi-sensor fusion to generate a real-time hoisting track, position and posture deviation data are obtained based on double-track monitoring, all-directional deviation monitoring of the curtain wall in the hoisting process is improved, environment data are introduced, and the real-time hoisting track is obtained. A control strategy and parameters are dynamically adjusted by combining a deviation data directional matching deep learning model, dynamic hoisting and real-time deviation correction are parallel, the curtain wall is continuously converged to a target in the hoisting process, it is guaranteed that the matching degree of the final installation pose and the design model is extremely high, and the construction efficiency is improved. And the method is particularly suitable for an extremely complex mounting path or a multi-machine cooperative hoisting environment.

The invention belongs to the technical field of photo-thermal performance detection of building envelope structures, and particularly relates to a device and a method for detecting a solar heat gain coefficient under dynamic meteorological conditions of door and window curtain walls. The invention discloses a device for detecting a solar heat gain coefficient under a door and window curtain wall dynamic meteorological condition, and the device comprises an outdoor environment simulation hot chamber which comprises a solar radiation simulation system, a wind speed simulation system, and a temperature and humidity simulation system; an environmental space; the heat metering box and the outdoor environment simulation hot chamber are arranged in the horizontal direction, and the heat metering box is located in the environment space; a tested piece is arranged at the joint interface of the outdoor environment simulation hot chamber and the heat metering box along the vertical direction; the solar radiation simulation system adjusts the solar radiation intensity according to the received dynamic meteorological conditions, the wind speed simulation system adjusts the wind speed according to the received dynamic meteorological conditions, and the temperature and humidity simulation system adjusts the temperature and humidity according to the received dynamic meteorological conditions. According to the invention, the detection precision of the adjustable light-transmitting enclosure structure can be improved.

The invention relates to the technical field of building construction equipment, and discloses a supporting system for supporting a curtain wall construction hanging basket at a light well to be stressed through a scaffold. The system comprises a scaffold stress monitoring module, a hanging basket attitude calculation module, a supporting force distribution module, a structural deformation early warning module and a self-adaptive leveling module. The scaffold stress monitoring module collects and processes stress data; the hanging basket attitude resolving module generates a dynamic balance parameter; the supporting force distribution module optimizes a supporting force distribution path; the structural deformation early warning module predicts a deformation trend and outputs an early warning level; and the self-adaptive leveling module adjusts the hydraulic expansion amount of the scaffold supporting legs to calibrate the level of the hanging basket platform. All the modules work cooperatively, real-time monitoring and precise control over scaffold stress and hanging basket postures are achieved, construction safety can be effectively improved, construction precision and efficiency can be improved, and the system further has the self-adaptive adjustment capacity so as to adapt to the complex construction environment and meet the curtain wall construction requirement of a light well.

The invention discloses an auxiliary installation control system and method for a building curtain wall in the technical field of intelligent construction. The method comprises the steps of obtaining detection data in the installation process of the building curtain wall; based on detection data in the building curtain wall installation process, comprehensive positioning errors, comprehensive balance force and optimal hoisting time in the building curtain wall installation process are calculated through a dynamic error compensation algorithm, a multi-body mechanical balance equation and a real-time path optimization algorithm; and based on the comprehensive positioning error, the comprehensive balance force and the optimal hoisting time in the building curtain wall installation process, an execution mechanism is controlled to conduct auxiliary installation on the building curtain wall. Through the multi-source data fusion technology and the dynamic error compensation model, real-time sensing and self-adaptive correction of the spatial pose of the curtain wall unit are achieved, and the problem of positioning misalignment caused by manual operation deviation in a traditional method is solved.

The invention relates to the technical field of curtain wall deformation monitoring, and discloses an aluminum veneer curtain wall deformation monitoring method based on big data. The method comprises the following steps: carrying out environmental factor separation on deformation original data to obtain abnormal deformation features; inputting a deformation mode identification network, and distinguishing connecting piece looseness, aluminum plate deformation and support displacement; analyzing a deformation trend, and predicting a future state; evaluating the safety, judging whether a threshold value is exceeded or not, and obtaining a risk level. According to the method, the deformation data of the curtain wall can be collected in real time, the influence of environmental factors can be effectively separated, the abnormal deformation type can be accurately identified, the deformation development trend can be scientifically predicted, and a complete safety risk assessment system can be established, so that the deformation state of the aluminum veneer curtain wall can be accurately monitored, classified, predicted and pre-warned, and the safety and reliability of a curtain wall system can be improved.

The invention relates to the technical field of building construction, and discloses an outer wall facade deformation joint hidden type curtain wall sealing structure and a construction method. Comprising positioning parts which are fixedly arranged on the two sides of a deformation joint; ePDM (ethylene-propylene-diene monomer) telescopic rubber strips are arranged between the two positioning components. The EPDM telescopic adhesive tape can completely cover the deformation joint; the EPDM telescopic adhesive tape, the chemical bolt, the keel and the aluminum plate are fixed to the deformation joint, the deformation joint cover plate and the deformation joint cover plate lock catch are arranged to hide the deformation joint, and therefore the appearance effect is achieved, meanwhile, the problems of cracks, damage and the like of a building in the later period are avoided, the service life of the building is prolonged, water seepage is reduced, and the construction quality is improved. Attractiveness is improved, and later maintenance cost is saved to a certain extent; the structure can avoid the influence of expansion and contraction of materials, release of structural stress and earthquake deformation on the structure, does not influence the appearance effect of the building, and is suitable for industrial and civil building facade deformation joint construction.

The invention provides a unit type curtain wall component matching method and system combined with AI identification, and the method comprises the steps: firstly obtaining a field image data set of a to-be-matched unit type curtain wall which comprises a plurality of component local image units with spatial position marks, and then carrying out the image feature extraction processing of the field image data set; surface texture features and structure contour features of the component local image units are obtained, then a pre-trained component matching model is called to carry out joint matching analysis on the surface texture features and the structure contour features, and a standard component type matching result is generated; determining matching consistency information of each component local image unit and a standard component library according to a standard component type matching result, and finally generating a matching optimization instruction containing a component replacement or adjustment instruction based on the matching consistency information, and feeding back the matching optimization instruction to a curtain wall construction management system to trigger a component configuration adjustment operation. Automation and intelligentization of unit type curtain wall component matching are achieved, and matching efficiency and precision are improved.

The invention provides an intelligent cleaning unmanned aerial vehicle system and method based on high-pressure water jet, and relates to the technical field of unmanned aerial vehicles. The optimized path acquisition module utilizes a sensor to optimize obstacle avoidance to obtain a new path; the real-time positioning acquisition module realizes positioning by means of PTK; the cleaning area determination module determines a cleaning range according to the positioning acquisition image; and the water flow cleaning execution module starts equipment and adjusts a nozzle to complete high-pressure water jet cleaning. The technical problems that a traditional high-altitude cleaning mode is high in safety risk, low in cleaning efficiency, inaccurate in environment perception and insufficient in dynamic adaptability are solved, and safe unmanned cleaning, path optimization precision and cleaning efficiency maximization of high-rise building glass curtain wall cleaning are achieved; and therefore, the technical effects of operation reliability and intelligent level in a complex environment can be obviously improved.