3198 results about "Tower crane" patented technology

The invention provides a tower crane group collaborative operation scheduling and optimizing system. The system comprises a task dynamic allocation module, a conflict sensing path planning module and a collaborative scheduling module. Based on construction site task requirements, tasks are dynamically allocated to tower cranes, and path conflict pre-judgment cost is calculated; then, according to a task allocation result, generating a tower crane motion path in real time, and dynamically avoiding position conflicts and time overlapping among tower cranes by taking a space-time grid as a constraint; and finally, monitoring the state of the tower crane and the environment change in real time through a sensor, and dynamically adjusting the priority of task allocation and the parameters of path planning to form a global collaborative optimization model. The global collaborative optimization model integrates task allocation, path planning and real-time scheduling, and is realized through joint optimization. The system can effectively solve the problems of task delay, resource waste and potential safety hazards caused by insufficient management in collaborative operation of the tower crane group, and improves the collaboration and flexibility of the operation of the tower crane group.

The invention provides a building construction site safety monitoring and early warning method and system based on the Internet of Things, and relates to the technical field of data processing.The method comprises the steps that a three-base-point dynamic topological structure is established in a target monitoring domain, a first datum point is arranged at the extension end of the axis vertical line of a slewing bearing of a tower crane, and a second datum point is arranged at the extension end of the axis vertical line of the slewing bearing of the tower crane; the second datum point is embedded in the radial section of a force bearing flange plate of the hydraulic jacking module, the third datum point is fixedly connected to the intersection joint of a deep foundation pit top beam and a supporting system, and a non-collinear vector set is constructed through three-point coordinate offset; and based on the non-collinear vector group, deformation compensation correction is performed on the dynamic calibration parameter set through a vector space topological transformation algorithm, a topological reconstruction data stream containing a displacement gradient tensor and strain energy density is generated, and a risk situation feature space is constructed based on the topological reconstruction data stream. According to the invention, the intelligent construction safety management is realized.

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 field of tower building machines, and discloses a structural curtain wall construction integrated aerial tower building machine for building an airport control tower, which comprises building equipment for building the control tower, the building equipment is erected outside the control tower, the control tower is fixed on the ground through a reinforced foundation, and the building equipment is fixed with the surface of the control tower through a wall attaching piece in the process of building the control tower. In order to greatly improve the construction efficiency, the structural curtain wall construction integrated aerial tower building machine for airport tower building ingeniously integrates multiple innovative designs, the core of the structural curtain wall construction integrated aerial tower building machine is a dynamically-adjusted lifting system, and the system is formed by connecting two lifting frame single bodies arranged up and down through a hydraulic air cylinder; the distance between the tower building machine and the tower crane can be flexibly adjusted so as to adapt to continuous change of the height of the control tower, the tower building machine can be synchronously lifted along with lifting of the control tower through the design, the tedious process of frequent disassembly and reinstallation in a traditional building mode is avoided, and the construction efficiency is remarkably improved.

A hoisting posture control system and method, applicable to the technical field of modular construction. According to the hoisting posture control system, controllers corresponding to functional modules are called on the basis of data detected by sensors, to drive posture control of a hoisted object, thereby assisting a tower crane operator in making work decisions, so that the operator does not need to take risks to get close to a module to be installed hoisted in the air, ensuring the safety of workers and the accuracy and reliability of module installation. Thus, the labor cost in modular construction work can be reduced, and the assembly quality and efficiency of modules are improved.

The invention relates to a data and model fused tower crane displacement response prediction method under the typhoon action, which comprises the following steps: constructing a monitoring system, acquiring actual measurement data of a construction site and a tower crane, and constructing a tower crane finite element model by utilizing a design parameter set of the tower crane; the extreme wind speed under the most unfavorable wind direction of a construction site is obtained based on typhoon full-path simulation and wind field simulation, and the tower crane finite element model is calibrated by analyzing a parameter object needing to be calibrated in the tower crane finite element model through sensitivity, so that the calibrated tower crane finite element model can accurately reflect the response condition of a tower crane structure; a calibrated tower crane finite element model is used for simulating a data set formed by displacement data under the typhoon working condition to serve as a training set, the defect of an extreme weather sample in an actually-measured training sample is overcome, then response prediction of tower crane displacement under the typhoon working condition is achieved by training a CNN-BiLSTM-Adaboost displacement response prediction model, and the method is simple and convenient to implement. The precision and robustness of tower crane displacement prediction under the extreme typhoon working condition are remarkably improved, and sufficient emergency processing time is reserved for a construction site.

The invention relates to the technical field of crane work monitoring, and discloses a tower crane visual work monitoring method based on digital twinning, which comprises the following steps: S1, establishing a digital twinning model of a tower crane, the digital twinning model comprises a geometric model, a physical model and an environment model, and the geometric model is constructed through a three-dimensional modeling tool; s2, working state data of the tower crane are collected through a multi-sensor network, and sensors comprise a force sensor, a position sensor, an acceleration sensor and an environment sensor. A three-dimensional dynamic model of the tower crane can be constructed and displayed through a digital twinborn technology and real-time acquisition of multi-sensor data, an operator knows the working state of equipment in real time through the system and obtains intelligent operation suggestions, and if abnormity is detected, the system automatically gives an early warning to prevent the equipment from having faults due to overload, vibration abnormity and other problems, so that the working efficiency of the tower crane is improved. And the working safety of the tower crane is obviously 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 a tower crane path intelligent planning and dynamic control method and system in bridge construction and a medium, and belongs to the field of bridge construction.The method comprises the steps that a bridge construction digital twinborn model is constructed and used for describing the state and position of a tower crane; the construction progress data is incorporated into the constructed digital twinborn model, the operation task and the hoisting target of the tower crane are synchronously updated according to a construction progress plan, and the state of the tower crane is adjusted in the digital twinborn model according to the construction progress; an optimization control system is constructed in combination with a tower crane path planning algorithm, and the change of the surrounding environment of the tower crane is obtained in real time through a sensor real-time data set digital twin model, so that the digital twin model can reflect the relative position between the tower crane and an obstacle; according to the relative position between the tower crane and the obstacle and the data fed back by the sensor in real time, if the position of the tower crane deviates from a preset path or potential collision risks occur, the movement direction of the tower crane is automatically adjusted or the tower crane decelerates. The collision risk can be effectively avoided.

The disclosure relates to the technical field of tower cranes, and particularly to a tower crane device and a mounting method and a control method thereof. The tower crane device comprises a machine platform (1), a tower column (2) and an arm frame hoisting apparatus, the tower column (2) is rotatably connected to the machine platform (1) and the tower column (2) rotates around a center of the tower column relative to the machine platform (1), the arm frame hoisting apparatus comprises a tail frame structure (3), a sleeving frame structure (4) and an jib structure (5), the tail frame structure (3) and the jib structure (5) are both connected with the sleeving frame structure (4), the sleeving frame structure (4) is connected with the tower column (2), and the sleeving frame structure (4) ascends and descends in a height direction of the tower column (2).

The invention relates to the technical field of automatic control, in particular to a tower crane variable amplitude-rotation linkage self-adaptive control method oriented to a high wind load environment. The method comprises the following steps: step 1, acquiring an actually measured average wind speed at the height of the tower crane so as to determine a wind-induced coupling torque acting on a rotating shaft of the tower crane; 2, real-time equivalent rotational inertia generated by the dead weight of the cantilever crane, the suspended load mass and the relative position of the cantilever crane is calculated in real time; step 3, obtaining an original variable-amplitude torque instruction output by a variable-amplitude motor of the tower crane; and step 4, utilizing the rotating shaft to couple the rotational inertia so as to update the rotation angular velocity set value of the tower crane in the next control period in real time, and completing the amplitude variation-rotation linkage self-adaptive control of the tower crane. According to the invention, the safety, precision and continuous operation capability of the tower crane under complex construction conditions are improved.

The invention provides a three-dimensional space collision avoidance system based on multiple tower cranes, and relates to the technical field of port hoisting operation, a three-dimensional voxel grid VoxelGrid space map is constructed, and the three-dimensional space collision avoidance system comprises a first horizontal coverage map, a second descending coverage map, a third fan-shaped area occupation map, a fourth track occupation area map and a fifth interference area map; the system can identify the space overlapping area of the tower crane operation path at the voxel level, breaks through the limitation of the traditional path planning method on the dimension and precision of space modeling, and enhances the fine granularity and accuracy of collision detection. A dynamic acquisition module and a dynamic interference module are introduced, dynamic disturbance caused by factors such as stormy waves and tides on a ship in a port operation environment can be sensed in real time, the deviation trend of the tail end of the lifting appliance is predicted, target correction and track compensation are carried out before track execution, and the situation that the lifting appliance is accidentally touched or falls off due to track drifting is effectively promoted to be reduced.

The invention relates to the technical field of crane control, in particular to an intelligent tower crane anti-collision accurate hoisting system based on multi-sensor fusion, which comprises a data acquisition module, a data processing module, a safety early warning module, a control execution module, a data processing module, a data processing module and a control module, an alarm module electrically connected with the safety early warning module and the data processing module and used for receiving the alarm signal sent by the safety early warning module; a hoisting control instruction is generated based on the alarm signal and the real-time three-dimensional position coordinates of the hoisted object sent by the data processing module; according to the method, the lifting control instruction is executed, the lifting arm angle, the rotation angle and the lifting height of the tower crane are adjusted, accurate lifting and anti-collision control are achieved, and the safety, accuracy and efficiency of the tower crane are comprehensively improved through organic combination of advanced technologies such as multi-sensor fusion, an intelligent algorithm and self-adaptive control.

The embodiment of the invention provides a mobile tower crane border crossing detection method and device. Tower crane design drawing data are imported into a virtual simulation engine, a three-dimensional model is constructed, and warning tape marks are set. A physical engine is creatively utilized to simulate tower crane moving tracks under different working conditions, and a border crossing behavior data set is generated based on intersection-to-union ratio calculation. A deep neural network structure is constructed, a trunk feature extraction module and a target detection module are included, and model parameters are optimized through a cross entropy loss function. According to the method, the limitation of traditional mechanical limiting and manual monitoring is broken through, real-time intelligent monitoring of the movable boundary of the tower crane is achieved, and reliable technical support is provided for safety management of a construction site.

The invention provides a tower crane path planning method, device and equipment based on polar coordinate recursive division, and relates to the field of path planning. The method comprises the following steps: acquiring related information of a hoisting point, a target point, a tower crane, a hoisted object and an obstacle, and establishing a polar coordinate system by taking the position of the tower crane as a circle center; further obtaining a tower crane hoisting range represented by a circular ring cylinder; then, dynamically and recursively dividing the hoisting range of the tower crane into a plurality of sub-bodies in different modes until a division termination condition is met; then, under the condition that the lifting point and the target point are not in the outer boundary frame of the sub-body, on the premise that the division termination condition is met, the lifting point and the target point are used as vertexes to be segmented to obtain new sub-bodies; calculating to obtain an optimal path by adopting an A * algorithm and combining a cost function, and optimizing to obtain an optimized path; and collision detection between the obstacle on the optimized path and the hoisted object is executed until the detection result is safe, a planned path is obtained, and the tower crane is controlled to operate. The path planned by the method is high in operability and safety.

The invention provides an automatic management system for tower crane ground control, and relates to the technical field of tower crane ground control management. A dynamic multi-dimensional cost model is constructed by collecting spatial obstacle data, environmental risk indexes and time efficiency parameters, and an environmental protection reference value is generated and transmitted to a credit evaluation unit. The credit evaluation unit calculates an equipment health green credit score based on an environmental protection reference value and real-time operation data, and dynamically adjusts a green weighting factor of task allocation. And the task allocation unit constructs an economic decision matrix in combination with the cost parameter and the credit evaluation result, generates an optimal task allocation scheme through priority ranking, and triggers path optimization. And the task constraint unit optimizes the operation path and feeds back the energy recovery benefit to the cost model in real time. The visual interaction unit controls and manages in real time through a three-dimensional thermodynamic diagram and supports manual intervention. According to the system, resource optimization configuration and dynamic risk management and control of tower crane operation are achieved, and the construction efficiency and economical efficiency are improved.

The invention discloses a tower crane monitoring system in an intelligent construction site project, which comprises a multi-modal sensor module, a digital twin modeling module, a dynamic risk map generation module and a display terminal, and is characterized in that the multi-modal sensor module covers the whole domain of a tower crane and multi-dimensional data of real-time operation of the tower crane, so that the problem of data isolation of a traditional system is solved; a tower crane three-dimensional dynamic model is constructed based on real-time multi-dimensional data, stress distribution and motion trail of a physical entity are simulated, the position prediction precision of a lifting hook is improved, and a three-dimensional risk thermodynamic diagram is generated through a dynamic risk map generation module, so that a worker can more visually check the risk level of each part of the tower crane, intelligent early warning is realized, and the working efficiency is improved. And the fault occurrence probability is reduced.

The invention relates to a method and a construction and / or a materials-handling machine for guiding and moving a working head, in particular a 3D print head, wherein at least three revolving tower cranes are attached to each other with their booms, wherein according to one aspect of the invention a guide beam carrying the working head is attached to at least two trolleys of two revolving tower cranes, and the working head is adjusted and moved in its working position by moving the trolleys along two booms of two revolving tower cranes.

The invention relates to the technical field of safety monitoring and early warning, and discloses a global safety monitoring and intelligent early warning system and method for construction site tower crane operation, and the method comprises the steps: deploying a multi-layer sensor network at a plurality of target parts of a construction site tower crane, and collecting the operation state data of the tower crane; carrying out extended Kalman filtering processing on the tower crane operation state data to obtain a tower crane sensor installation angle parameter and a non-integrity constraint lever arm parameter; performing global state estimation based on the tower crane sensor mounting angle parameter and the non-integrity constraint lever arm parameter to obtain a tower crane global state and external disturbance data; inputting the global state of the tower crane and the external disturbance data into a deep neural network, and performing safety boundary calculation to obtain a dynamic safety boundary model of the construction site tower crane; and performing risk measurement calculation based on the dynamic safety boundary model to obtain a safety risk grading early warning instruction, thereby improving the safety and collaboration of construction site tower crane operation.

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 discloses a tower crane installation path planning method and system, a terminal and a medium, and the method comprises the following steps: collecting and preprocessing three-dimensional point cloud data and visual information in a tower crane installation area, fusing the point cloud data with image data, and generating a fused three-dimensional point cloud image which comprises distance and color information; a deep learning model is adopted to carry out obstacle detection on the fused three-dimensional point cloud image; an RRT algorithm is adopted, and a safety path is planned according to the obstacle detection result and the requirement of the hoisting task; and controlling the movement of the hoisting equipment according to the obtained safe path, and executing ascending, descending, horizontal moving and rotating actions of a lifting hook according to a path planning result. The method has the advantages that the safety and the efficiency in the hoisting operation of the power transmission tower are improved, and the quality and the reliability of power transmission line construction are improved.

The invention discloses a multi-tower-crane cooperative driving training system based on a virtual reality technology. The multi-tower-crane cooperative driving training system comprises a physical simulation module, a construction scene construction module, a multi-tower-crane cooperative operation module and an interaction and control module. The physical simulation module simulates the motion trail, load change and collision response of the tower crane to ensure that the operation of the tower crane conforms to a real physical rule in a virtual environment; the construction scene construction module generates a virtual construction site scene through a BIM technology; the multi-tower crane cooperative operation module realizes task allocation, path planning and safe distance maintenance among multiple tower cranes; and the interaction and control module provides real-time interaction between the operator and the virtual tower crane. Multiple operators are supported to operate different tower cranes at the same time, and accurate control is achieved through the VR controller and the operation handle. The system provided by the invention can analyze and evaluate the collaborative operation performance of trainees, helps a green tower crane driver to improve the collaborative operation skill of multiple tower cranes, and reduces the safety risk caused by crossing of tower crane coverage ranges in actual operation.

The present invention relates to the technical field of pipeline installation, specifically, pipeline installation equipment based on BIM technology, including a hoisting mechanism that can be detachably suspended from a tower crane hook, the hoisting mechanism including two hoisting platforms, electric hoists installed inside both ends of the hoisting platforms, a rope 1 for traction transmission outside the electric hoist, a rope 2 detachably fixed below two adjacent ropes 1, and a plurality of steel balls fixed in series on the outside of one of the ropes 2. In the present invention, whether two pipelines are at the same height is judged by observing whether the bubble of the level on the traction rope is in the middle position, which is convenient for construction personnel to quickly identify whether the pipeline is in the installation position, and rope 1 is respectively wound and released by two electric hoists, so that rope 2 is supported with steel balls to the gap between the bottom of the pipeline and the bottom of the buried trench, so as to prevent the pipeline interface from tilting due to the low terrain at the bottom of one end of the pipeline and generating shear force, which is beneficial to ensure the safety of the pipe mouth after the pipeline is docked.

The invention provides a tower crane system with an offset repairing function and an offset repairing method thereof. The tower crane system comprises a base; the tower comprises a tower body, a cargo boom, a balance arm and a first rotating assembly. The monitoring assembly is configured to be used for monitoring the current offset, the current offset direction, the wind load and the wind direction of the tower body; the offset repairing assembly comprises a plurality of groups of compensation arms, a second rotating assembly, a third rotating assembly and a control unit; the multiple sets of compensation arms are rotationally connected with the tower body, and gravity compensation pieces capable of moving along the compensation arms are hung on the multiple sets of compensation arms. The control unit is used for predicting the future offset and the future offset direction of the tower body according to data monitored by the monitoring assembly and controlling the second rotating assembly to drive the multiple sets of compensation arms to rotate according to the future offset direction of the tower body so as to adjust the positions of the compensation arms. And the position of the gravity compensation piece on the compensation arm is adjusted according to the future offset of the tower body, compensation of the offset of the tower body is achieved, and the tower body is kept in a balanced state.

The invention discloses a remote control system for a frequency converter, and relates to the technical field of operation control of tower cranes, the system collects key data of a suspension arm or a lifting hook in real time through inertial swing monitoring points arranged by a region division module, and constructs and evaluates an inertial swing risk index IB by combining acceleration and deceleration parameters of the frequency converter and load weight changes; and generating a first control strategy to reduce the swing risk. The second alarm module further combines wind speed and dynamic load change multi-dimensional data analysis, optimizes the first control strategy, generates a second control strategy, and improves the response capability to emergencies. The compensation evaluation module dynamically evaluates the compensation precision and optimizes the control strategy by monitoring the torque and slip state of the frequency converter, thereby reducing the error and improving the system precision. In general, the safety and the stability in the lifting process are improved, and the operation risk caused by external factors such as load fluctuation and wind speed change is remarkably reduced.

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 provides a tower crane remote real-time operation system which comprises the following modules: a remote control system is used for receiving and converting an operation signal of a handheld assembly and transmitting the operation signal to a tower crane cab monitoring system, and the tower crane cab monitoring system is used for collecting operation parameters and environment data of a tower crane in real time and transmitting the operation signal to a remote control system; the operation signal and the collected data are sent to the tower crane lifting, amplitude-changing and corner integrated frequency converter control system, and the tower crane lifting, amplitude-changing and corner integrated frequency converter control system is used for controlling the lifting, amplitude-changing and corner actions of the tower crane in real time according to the operation signal or the collected data. The intelligent interaction control module cooperates with the multi-source data fusion analysis module and the building state sensing and feedback module, tower crane data, construction area building states and associated influence parameters are comprehensively integrated, the building state sensing and feedback module monitors building deformation and stress, it is guaranteed that construction and design are consistent in combination with a BIM model, the deviation is smaller than or equal to 3 mm, and construction safety and progress are guaranteed.

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.