1709 results about "Tower crane" patented technology

The invention relates to a tower crane operation control system based on complex scene three-dimensional real-time modeling. According to the system, a lifting hook is coarsely positioned through a lifting hook positioning and state sensing unit, a real-time position is positioned by combining a laser radar point cloud clustering algorithm with historical pose data, and visual tracking is synchronously performed by means of a tower top camera AI; converting the real-time point cloud data into a 3D voxel grid map, generating a global path by using a 3DA algorithm, and outputting a hoisting track after smooth processing and track optimization; establishing a sling-lifting hook double-pendulum dynamic model, predicting a state sequence based on a model prediction control algorithm, and adjusting a control signal through a feedforward compensation item and a feedback correction item; and the man-machine interaction and monitoring unit is used for displaying the cantilever angle, the lifting hook height and the three-dimensional map of the tower crane in real time and remotely intervening the operation state of the tower crane. According to the system, multi-source data are fused to construct a high-precision three-dimensional map, lifting hook positioning and full-view tracking are achieved, and lifting safety and trajectory tracking precision are improved through path planning and dynamics control.

The invention relates to the technical field of building management, in particular to a BIM-based building construction management method and system and a medium. The method comprises the following steps: acquiring building structure data; a tower crane full-life-cycle BIM model is constructed based on the building structure data, wherein the tower crane full-life-cycle BIM model comprises three-dimensional parameterized information of a base embedded part, a tower body standard knot, a slewing mechanism and a suspension arm assembly; acquiring building construction environment data; carrying out tower crane installation optimization on the tower crane full-life-cycle BIM model by utilizing building construction environment data to obtain a tower crane installation scheme; and base stress distribution simulation is conducted on the tower crane full-life-cycle BIM model according to the tower crane installation scheme, and tower crane base stress distribution data are generated. According to the invention, by integrating the building structure and the construction environment data and combining real-time sensing monitoring and intelligent collaborative optimization, the accuracy and dispatchability of tower crane management in building construction are improved.

The invention relates to the technical field of big data analysis and mining, in particular to a construction progress deviation early warning method and system based on data mining, and the method comprises the following steps: integrating a construction task list, the spatial position of a component in a BIM, the number of operators in a construction log, and the operation state of a tower crane, and generating a multi-dimensional constraint construction map node set; according to the method, a multi-dimensional node set with time, space and resource attributes is constructed by integrating a construction task list, the spatial position of a BIM component, the number of operators in a construction log and the operation state of a tower crane, and structural expression of a construction site is achieved; on the basis, a causal association relationship among construction logic, resource occupation and space proximity is identified, and a time sequence causal conduction map with a deviation conduction coefficient value is further established, so that a risk conduction path between construction events has quantitative calculation capability.

The invention discloses an automatic hoisting and positioning system and method for prefabricated parts, and relates to the technical field of building construction. The system comprises a tower crane, a frequency conversion trolley, a three-axis pan-tilt stabilizer, a receiver positioning device and an infrared emitter which are coaxial, an intelligent terminal control system with a pre-stored BIM model, and an integrated inertial sensing unit and a dome camera monitoring system. The intelligent terminal generates target coordinates through the BIM positioning reference module, the real-time deviation calculation module quantifies three-dimensional positioning and axis perpendicularity deviation, and the compensation instruction generation module drives targeted adjustment; through combination of infrared dual-mode switching, frame line deviation correction and inertia swing dynamic suppression, precise positioning and obstacle avoidance cooperation is realized. According to the method, through the closed-loop process of benchmark setting, obstacle avoidance lifting, fine compensation and standard confirmation, it is guaranteed that the positioning deviation is not larger than 0.8 mm, the axis perpendicularity is not larger than 0.3 degree, and the inertia swing is not larger than 10 cm, the problems that traditional hoisting is poor in precision and large in inertia interference are solved, and the installation quality and the operation efficiency are improved.

The invention relates to the technical field of tower crane safety monitoring, and discloses a tower crane construction safety guarantee method and system.The method comprises the steps that a multi-tower crane cross operation area is dynamically recognized based on tower crane parameter data and real-time operation state data, and a dynamic distribution diagram of the cross operation area is obtained; based on the tower crane load data and the environment parameter data, tower crane operation stability evaluation is conducted, and an operation stability evaluation value is obtained; performing dynamic collision risk analysis based on the dynamic distribution map and the operation stability evaluation value to obtain a dynamic collision risk index; setting an adaptive safety distance threshold based on the dynamic collision risk index; and grading early warning and intervention control are carried out based on a self-adaptive safety distance threshold. Through collection and fusion analysis of multi-dimensional data, comprehensive perception and dynamic monitoring of a multi-tower crane operation environment are realized, and dispersed tower crane safety monitoring can be integrated into a cooperative system, so that the safety management level of a construction site is remarkably enhanced.

The invention discloses an area intelligent identification alarm system for tower crane hoisting, which relates to the technical field of alarm systems and comprises a front-end data acquisition module, an acquired data processing module, a wireless network communication module, a hoisting safety analysis module and a safety alarm execution module. The visual detector, the detection sensor and the environment sensor form a multi-element acquisition module, hoisting parameters and environment information can be synchronously acquired in real time on the hoisting site of the tower crane, the comprehensiveness of information acquisition is ensured, and the problem that the traditional configuration is single in acquisition element and the cost is low is solved through the redundancy design of multiple acquisition elements. The method solves the problem that the existing tower crane is easy to fail, realizes real-time intelligent identification and graded early warning of potential safety hazards in a tower crane hoisting operation area, has the characteristics of high dynamic adaptability, high spatial resolution, intelligent response, high deployability and the like, and provides scientific and efficient technical support for safety management of tower crane operation.

The invention relates to the technical field of intelligent control of engineering machinery, and provides a tower crane hoisting whole process dynamic mapping and sensing coverage method and system. The method comprises the following steps: respectively mounting two rotary radars on a rotatable bracket of the tower crane; the current hoisting operation stage of the tower crane is obtained in real time; switching a shooting view angle of the double-radar module according to the hoisting operation stage, and controlling the double-radar module to obtain continuous point cloud data of the corresponding operation stage; tower crane operation parameters are collected, and continuous lifting hook tracks are generated in combination with continuous point cloud data obtained by the double-radar module; identifying a dynamic obstacle and a static background contained in the target monitoring space from the continuous point cloud data, and constructing a construction environment point cloud model; performing space-time registration on the construction environment point cloud model and the physical coordinate system, and establishing a global dynamic map; and a dynamic sensing area coverage map is constructed by fusing the continuous lifting hook track and the global dynamic map, so that the real-time sensing of the space environment of the tower crane hoisting operation is realized.

The invention relates to the technical field of tower crane control, and provides an aerial high-risk area identification and hoisting path reconstruction method and system. The method comprises the following steps of: respectively mounting two rotary radars on a rotatable bracket of the tower crane to form a radar sensing module comprising a double-radar module; dynamically scanning the potential risk area in the construction scene through a radar sensing module to obtain real-time position information of the potential risk area; receiving the real-time position information through a processing module, and converting the real-time position information into real-time three-dimensional coordinate data in a motion coordinate system of the hoisting equipment by adopting a three-dimensional coordinate conversion algorithm; constructing a three-dimensional model of the potential risk area based on the real-time three-dimensional coordinate data; and identifying the three-dimensional model to determine a high-risk area, adopting an improved fast exploration random tree algorithm as a path obstacle avoidance algorithm, combining the three-dimensional model to dynamically reconstruct an initial hoisting path set by a user, and generating an optimal risk-avoiding hoisting track avoiding the high-risk area.

The invention discloses a tower crane standard knot nut looseness health monitoring system, which relates to the technical field of engineering machinery health monitoring and comprises a nut looseness monitoring sensor, a data acquisition module, a wireless communication module, a remote monitoring module and an alarm module. According to the tower crane standard knot nut loosening health monitoring system, the loosening state of the tower crane standard knot nut can be monitored in real time, the data acquisition module can rapidly process and convert the signals output by the nut loosening monitoring sensor to obtain real-time data of the nut, safety accidents caused by nut loosening are effectively prevented, and the safety of the tower crane standard knot nut loosening health monitoring system is improved. The safety of tower crane operation is improved, the wireless communication module adopted by the system can transmit monitoring data to remote monitoring equipment in real time, so that a worker can remotely monitor the loosening condition of a nut of the tower crane, the working efficiency is greatly improved, the labor cost is reduced, and historical data and real-time data are analyzed through the data analysis system.

The invention discloses a tower crane cluster cooperative control method and system for an intelligent construction site and a medium, belongs to the technical field of tower crane control, and aims to solve the problems that existing cluster control among multiple tower cranes mainly depends on manual control, large potential safety hazards are easily generated in complex tower crane operation, and the working efficiency is high. And intelligent cooperative control of work among a plurality of tower cranes is difficult to realize. The method comprises the steps that track error prediction of a tower crane rope is conducted on current dynamic environment characteristics in a current construction area, and wind resistance-swing angle coupling error data are obtained; track intersection and coincidence judgment is conducted on the tower crane rope moving tracks of the tower crane tasks to be executed in the multiple tower cranes in the future time period, and an abnormal tower crane moving track diagram is predicted and determined; performing optimal path generation processing on the abnormal tower crane moving trajectory diagram under a federated learning framework to obtain an optimized tower crane moving trajectory diagram; and track avoidance execution processing is conducted on the risk tower crane with the track crossing risk, and a tower crane avoidance strategy of the risk tower crane is obtained.

The invention relates to the technical field of intelligent control of engineering machinery, and provides a self-adaptive perception control method and system for dual-radar cooperative scheduling. According to the method, the first rotary radar and the second rotary radar are respectively installed on the rotatable support; obstacle distribution data of a tower crane hoisting operation area are obtained in real time through the first rotating radar and the second rotating radar, and real-time stage information of hoisting operation is obtained in real time through the operation state sensing module. Calculating a sensing dead angle position according to the real-time stage information; dynamically generating a first task instruction and a second task instruction according to the priority level, the sensing dead angle position and the obstacle distribution data of the target monitoring area, and controlling the first rotary radar and the second rotary radar to adjust the rotation angle and the sensing parameter, so that the first rotary radar performs emphasized sensing on the target monitoring area with high priority, and the second rotary radar performs emphasized sensing on the target monitoring area with high priority. And the second rotary radar performs compensation sensing on areas corresponding to the sensing blind area and the sensing dead angle of the first rotary radar.

The invention relates to the technical field of artificial intelligence, and provides a tower crane multi-dimensional data dynamic analysis and visualization method and system and terminal equipment. The method comprises the following steps: acquiring multi-dimensional monitoring data of the tower crane; establishing a synchronous monitoring model of the tower crane by adopting a digital twin technology based on the multi-dimensional monitoring data, and synchronously displaying the synchronous monitoring model in a user interface; based on a viewing instruction of a user to the synchronous monitoring model, matching a target display dimension for the user, synchronously setting a folding dimension which is not matched with the viewing instruction, and hiding model display information corresponding to the folding dimension in the synchronous monitoring model; calling a preset analysis model matched with the target display dimension, extracting target monitoring information from the synchronous monitoring model, and performing tower crane dynamic analysis on the target monitoring information through the preset analysis model; and updating the dynamic analysis result of the tower crane into the synchronous monitoring model to update model display information matched with the target display dimension in the synchronous monitoring model, thereby improving the operation and maintenance decision efficiency and accuracy.

The invention discloses a constructional engineering supervision intelligent safety early warning system for a high-risk working plane, and relates to the field of constructional engineering supervision, and the system comprises an acquisition module which is used for collecting the wind speed, humidity, visibility and static obstacle space coordinates of the periphery of the high-risk working plane of a tower crane in real time, and generating environment perception original data; the first monitoring module is used for collecting tower crane body structure stress, a cargo boom rotation angle, a hoisting mechanism load and a brake system working condition parameter of a tower crane and generating tower crane body operation state data. According to the system, surrounding environment parameters, equipment operation states and personnel dynamic states can be obtained in real time, risk grades and types are accurately judged, multi-form early warning is pushed in time, tower crane operation is regulated and controlled in a linkage mode, personnel casualties and equipment damage risks are effectively reduced, construction engineering supervision safety and efficiency are improved, and safety and reliability are improved. And safety accidents caused by untimely risk disposal or misoperation are avoided.

The present invention relates to a crane, in particular in the form of a rotating tower crane, having a crane jib, from which a hoist rope connected to a load handling means runs, a load position sensor system for sensing the position of the load handling means and / or of a load fastened thereto, a surroundings sensor system for collecting surroundings data to establish a surroundings model, and a crane controller for controlling hoist rope and / or crane movements on the basis of the sensed position of the load handling means and / or of the load fastened thereto and on the basis of the established surroundings model. According to the invention, the surroundings sensor system has an imaging sensor system for providing three-dimensional real-time surroundings data and a geo-referencing device for geo-referencing the 3D real-time surroundings data and establishing a geo-referenced 3D surroundings model.

This invention provides a reciprocating traction system, comprising two sets of longitudinal double-line reciprocating traction systems and one set of horizontal double-line reciprocating traction systems mounted on one side of an anchorage; the two longitudinal double-line reciprocating traction systems are respectively mounted on the upstream and downstream sides, and the horizontal double-line reciprocating traction system is connected to one end of the two longitudinal double-line reciprocating traction systems; the horizontal double-line reciprocating traction system includes a first towing track, a second towing track, a first horizontal traction mechanism, a second horizontal traction mechanism, and a horizontal traction machine; the first and second towing tracks are staggered; this invention can achieve the turning of the main cable strands without the need for a tower crane, reducing the construction period and labor costs associated with tower cranes, and the invention has low tonnage requirements for the horizontal traction machine of the main cable strands, which can reduce equipment investment costs; the method of this invention can achieve simultaneous turning and traction of two main cable strands, improving traction efficiency.

The utility model provides an active dynamic balancing device based on a tower crane. The active dynamic balancing device comprises a tower body, a working arm and a balancing arm, wherein the working arm and the balancing arm are fixedly mounted on two sides of the top of the tower body respectively; a water storage tank and a balance water tank are fixedly mounted on the balance arm, and the bottom of the water storage tank is communicated with the balance water tank through a connecting pipeline; and a control valve group for controlling water distribution between the water storage tank and the balance water tank is arranged on the connecting pipeline. According to the utility model, the balance weight of the balance arm is designed into the capacity-adjustable water tank, the working moment is balanced by utilizing the moment generated by the dead weight of the water body, the volume of the balanced water body is adjusted in real time according to requirements, so that the moment is changed, and the quantity of the water body distributed in the water storage tank and the balanced water tank is adjusted in real time according to the working moment. And the balance moment is synchronously equal to the working moment in real time.

The invention discloses a dynamic three-dimensional scene reconstruction method based on a multi-dimensional point cloud and a mixed tower hoisting model, and belongs to the field of graphic image processing, and the method comprises the steps: collecting an RGB video of a multi-view mixed tower hoisting site, and obtaining the data of a target dynamic three-dimensional scene; reconstructing and generating point clouds of each frame by using point cloud increment of time sequence perception, and constructing a point cloud sequence; constructing a multi-dimensional feature grid, and coding points into feature vectors through six feature planes; constructing a semitransparent point cloud volume structure through geometric attributes of MLP prediction points; combining the discrete image fusion network with a multi-frequency-domain material transmission model to construct a mixed tower hoisting model; carrying out micro rendering by using a deep stripping algorithm; training a mixed tower hoisting model by using the pixel loss and the perception loss; in the reasoning stage, point attributes are pre-calculated and rendered in real time; by the adoption of the method, the image fidelity is improved, the rendering process is remarkably accelerated, real-time performance and high quality are achieved, and wide application prospects are achieved.

The invention provides a big data-based building construction safety assessment method, which comprises the following steps of: acquiring a tension distribution gradient, a local stress peak value, a tension fluctuation frequency and a pulley contact surface friction coefficient of a tower crane steel wire rope under a dynamic working condition, and determining a dynamic stress distribution characteristic of the steel wire rope; performing real-time data screening and peak value identification processing on the dynamic stress distribution characteristics to obtain a stress concentration coefficient distribution diagram of each measuring point, and determining a tension concentration area with the stress concentration coefficient higher than a preset threshold value; carrying out weighted adjustment on the non-uniform wear characteristics, calculating to obtain the surface wear depth, the wear particle size and the weight change of the contact surface temperature rise under different working conditions, and obtaining the real-time wear index weight distribution; and aiming at the real-time wear index weight distribution, combining the tension distribution gradient and the wear region area in the historical operation data, and analyzing and predicting the change trend of the surface roughness of the steel wire rope through wear trend fitting and load history to obtain a residual life prediction value.

The invention discloses a tower crane inspection method, system and device and a medium, and is applied to the technical field of image processing, and the method comprises the steps: obtaining RTSP flow, a laser point cloud set and flight path data collected by an unmanned aerial vehicle; calculating a geometric measurement value of each inspection part based on the laser point cloud set and the flight path data; carrying out preprocessing and feature extraction on the RTSP stream and the laser point cloud set to obtain a visible light texture feature, an infrared temperature feature and a laser depth feature; performing cross-modal semantic recognition on the basis of the visible light texture features, the infrared temperature features and the laser depth features to obtain defect categories, confidence coefficients, defect center positions and defect physical quantity regression values of the inspection parts; risk judgment is carried out based on the geometric measurement value, the defect category and the confidence coefficient of each inspection part, the defect center position and the defect physical quantity regression value to obtain the inspection result of each inspection part, so that automatic inspection is realized, and the inspection efficiency and timeliness are improved.

The invention provides a multi-tower cooperative scheduling method, a cooperative server and a multi-tower cooperative scheduling system, and the method comprises the steps: constructing a twin map of a construction site, generating a movable three-dimensional space of each tower crane device, and rendering the movable three-dimensional space into the twin map; obtaining a shortest task line according to cooperative starting point positioning and cooperative terminal point positioning of the multi-tower cooperative task, and rendering the shortest task line into the twin map; obtaining a movable three-dimensional space of all tower crane equipment intersecting with the shortest task line in the twin map to form a linkage space sequence; a path node sequence of the multi-tower cooperative task is generated according to the linkage space sequence, a node sequential relation is generated according to the cooperative sequence of all path nodes, and the path nodes comprise a hoisting starting point, an unloading stopping point and a rotating path; and sending the path node sequence and the node time sequence relation to a virtual cockpit, and controlling the cooperative equipment corresponding to each path node in a time-sharing manner according to the node time sequence relation through the virtual cockpit.

The invention provides an intelligent dispatching and remote control method for a tower crane, which is applied to the field of fabricated house building construction and engineering equipment and aims to solve the problems of difficulty in dispatching the tower crane, low construction efficiency, severe operation environment and high safety risk in a clustered fabricated building. The method comprises the following steps: S1, constructing a distributed system architecture comprising a physical layer, a sensing control layer, a data processing decision layer, an application layer and a communication layer, and deploying equipment; s2, collecting environment, tower crane state and BIM model related multi-source data, and transmitting the data to a data fusion processing center for fusion; s3, planning an optimal hoisting path and a task sequence through the intelligent scheduling subsystem based on an ant colony algorithm; s4, a control mode is selected, a hoisting instruction is issued to execute a task, and forced braking is triggered in emergency; and S5, mapping a construction scene through a digital twin system, monitoring and alarming through an intelligent monitoring system, feeding back data to realize closed-loop optimization, and recording a digital file. According to the method, tower crane dispatching and construction efficiency is improved, construction safety is guaranteed, and intelligent construction of the fabricated building is promoted.

A safety management system for building construction monitoring disclosed by the present invention comprises a sensing layer, an edge layer and a platform layer, the sensing layer is used for full-dimensional data acquisition, and the sensing layer comprises a personnel safety monitoring module, an equipment state monitoring module, an environment monitoring module and a structure health monitoring module. The personnel safety monitoring module comprises an intelligent safety helmet and a positioning bracelet, the equipment state monitoring module comprises a tower crane monitoring subsystem and an elevator monitoring subsystem, the environment monitoring module comprises a gas detection array and a micro meteorological station, and the structure health monitoring module is composed of a fiber bragg grating sensing network. According to the safety management system for building construction monitoring, the problems of monitoring blind areas and data islands existing in traditional monitoring are effectively solved, a complete data base is provided for safety management, emergency time is shortened by more than 80% compared with traditional manual disposal, and the transmission reliability of key data is ensured while wide-area coverage is ensured.

The invention discloses a tower crane lifting hook safety early warning method, device and equipment based on machine vision, and relates to the technical field of safety early warning. The invention discloses a tower crane hook safety early warning method based on machine vision. The method comprises the following steps: constructing a generative adversarial network model to perform super-resolution reconstruction and contour enhancement processing on an obtained initial tower crane hook image; key characteristic indexes of the target tower crane hook image are calculated, and sampling density is adjusted to form an adaptive grid contour to obtain a dynamically changing graph structure; inputting the graph structure into a constructed space-time graph convolutional network, and constructing a loss function to predict the dynamic form change of the hanging object in combination with the actual hanging object characteristics; and constructing a physical constraint condition to optimize a prediction result of the dynamic form change to obtain a prediction track of the hanging object moving target, and delimiting and marking a ground dangerous area for early warning. The method effectively improves the image definition of the hanging object in a complex construction environment, improves the recognition accuracy of a key region, and predicts the dynamic form change of the hanging object.

The invention relates to the technical field of building construction and the Internet of Things, and discloses an intelligent scheduling and optimizing system for vertical transportation of wharf house building materials based on the Internet of Things, and the system comprises a data collection unit which is used for obtaining a to-do task, a tower crane state and material arrival time in real time; the task attractor generation unit is used for converting the to-do task into a task attractor in the decision model; the instantaneous comprehensive attraction calculation unit is used for calculating an instantaneous comprehensive attraction value between the tower crane and each task attractor; the scheduling instruction decision-making unit is used for selecting the task with the maximum attraction value as a target task; and the instruction issuing unit is used for issuing the target task to the corresponding tower crane. The attractive force value is calculated by constructing a dynamic decision model for balancing the driving force and the impedance force, and the model integrates the task urgency degree, the transfer cost, the predicted arrival time of materials in transit and the mutual exclusion effect among the multiple tower cranes, so that instant collaborative scheduling and autonomous safe avoidance among the multiple tower cranes are realized.

The invention discloses an adaptive tower crane anti-collision early warning method based on data fusion. The method comprises the following steps: step 1, acquiring attitude data of equipment, surrounding environment data and interaction data between tower cranes through data acquisition equipment; performing time synchronization and coordinate unification; 2, according to the relative space relation between the tower cranes and the relative space relation between the tower cranes and the environment, multiple collision risk scenes are divided, key risk features in all the scenes are extracted, and fusion processing is conducted on the features through a data fusion algorithm; 3, according to the real-time working condition parameters, dynamically adjusting the weight of the key risk characteristics in each scene; carrying out the normalization processing of the fused risk features, and carrying out the weighted fusion according to the weight, and obtaining a global risk value; 4, setting a third-level threshold value, and triggering a corresponding early warning action according to an interval to which the global risk value belongs; and collecting risk characteristic data feedback in real time, and if the risk is not reduced to a safety range and meets a time interval condition, repeatedly executing early warning evaluation and instruction sending.

The invention relates to the technical field of wind power monitoring, and discloses a construction engineering tower crane wind power monitoring control method, which comprises the following steps: collecting wind power environment data around a tower crane structure through a multi-source sensor network, including wind speed, wind direction, wind pressure and tower crane boom vibration parameters, and generating a tower crane wind power original data set; performing wind load fusion evaluation processing based on the tower crane wind power original data set, calculating actual wind load distribution of each part of the tower crane by combining a tower crane structure model and a computational fluid dynamics principle, and generating tower crane wind load evaluation data; when wind power monitoring and controlling of the tower crane in constructional engineering are carried out, wind power environment data and structure response data around a tower crane structure are collected through a multi-source sensor network, a tower crane wind power original data set is generated, wind load fusion evaluation processing is carried out, and the wind load actually borne by the tower crane can be reflected; and meanwhile, the calculated tower crane wind load evaluation data and the tower crane safety threshold are compared and analyzed in real time, and a reliable basis is provided for control decision.

The invention discloses a tower crane slewing bearing and a top section adding tower crane with the same. The tower crane slewing bearing comprises a bearing body, a through hole allowing a tower section to penetrate through is formed in the bearing body, a connecting assembly used for being assembled with a sleeve frame of a tower crane is fixed to the lower end of the bearing body, and tower section locking pieces used for being locked with the top of the tower section are arranged at the positions, corresponding to the through hole, of the lower end of the bearing body respectively. The lower end of the support body is provided with a driving mechanism used for driving the tower section locking piece to move into the through hole or to the outer side of the through hole. The top section adding tower crane comprises a rotary support. According to the tower crane slewing bearing, the slewing bearing and the tower sections can be stably locked when the sections are not added through the arrangement of the tower section locking pieces, the tower section locking pieces can be driven to move to avoid the tower sections passing through the through holes when the sections are added to the top, and the safety of tower crane operation is effectively improved.

The invention provides a natural language interaction AI agent system for an intelligent tower crane and a method thereof. Wherein the agent system comprises a natural language understanding module, a task planning module, a tool scheduling engine, a large language model interface, a data adaptation layer, a result generation module and a learning optimization module; the proxy method comprises the following steps: S1, natural language input processing; s2, intention understanding and task planning; s3, data acquisition and preprocessing; s4, intelligent analysis and reasoning; s5, verifying and optimizing a result; s6, generating a natural language answer; and S7, feedback learning and optimization are carried out. According to the method, natural language interaction between the user and the intelligent tower crane system is achieved by constructing a special AI agent architecture, the large language model is automatically called to intelligently analyze the running state of the tower crane, and analysis results and decision suggestions which are easy to understand are provided for the user.

The utility model provides a lifting device for a tower crane. The lifting device comprises a mounting seat, a bracket, a hanging bracket and a steel wire rope, the mounting seat is fixed to the top of a cabin, the support is mounted on the mounting seat, and the hanging bracket is arranged at the top of the support and provided with the hoisting pulley block. A lifting pulley block is arranged at the rear end of the on-tower crane, and when the on-tower crane is vertically arranged, the lifting pulley block and the hoisting pulley block are oppositely arranged; the hoisting pulley block comprises at least one hoisting pulley which is coaxially arranged, and the lifting pulley block comprises at least one lifting pulley which is coaxially arranged; a guide pulley block is arranged on a suspension arm of the on-tower crane; when the on-tower crane is lifted, one end of the steel wire rope is fixed on the on-tower crane or the hanging bracket, and the other end of the steel wire rope penetrates through the lifting pulley block, the hoisting pulley block and the guide pulley block and then is connected to a power unit arranged below the fan tower; the power unit tightens the steel wire rope to lift the on-tower crane.

The present invention discloses a tower crane hoisting path guidance system for steel tower segments. The tower crane system includes a control room in which a controller is installed and connected to a central server. The steel tower includes an installed steel tower segment and a steel tower segment to be installed. A camera is installed on a workbench on the installed steel tower segment. A mark is made at the center of the cross section corresponding to the steel tower segment to be installed and the installed steel tower segment. The camera is connected to the central server. The central server calculates the distance between the installed steel tower and the uninstalled steel tower, and the distance between two marked points. The central server transmits the identified contour and the calculated distance back to the controller, and the controller then gives corresponding tower crane path instructions. The present invention provides a path guidance method that can effectively provide tower crane operation instructions for the steel tower docking process, avoid the problems of excessive personnel requirements and inconvenient communication in traditional methods, improve construction efficiency, and ensure construction safety.