Thermal power engineering construction hoisting path optimization method and device combined with BIM (Building Information Modeling)

Abstract

The invention discloses a BIM-combined thermal power engineering construction hoisting path optimization method and device, and relates to the technical field of engineering, and the method comprises the steps: constructing a thermal power engineering construction simulation model through a BIM modeling data set; receiving a first hoisting task and obtaining a task point; hoisting object data are recognized, path planning is conducted in the BIM model, and N hoisting paths with the stability meeting the requirement are output; and acquiring and inputting protective layer data of the hoisted object, optimizing a hoisting path, outputting an optimal hoisting path and executing a hoisting task. The technical problem that the protective layer of the hoisted object is neglected in the existing hoisting path planning is solved, and the technical effects that the protective layer of the hoisted object is effectively considered in the hoisting path planning, and the protective layer is prevented from being damaged due to improper path planning in the hoisting process of the hoisted object are achieved.

Description

Technical Field

[0001] The present application relates to the field of engineering technology, and in particular to a method and device for optimizing a hoisting path in a thermal power project construction in combination with BIM. Background Art

[0002] With the rapid development of the construction industry, especially large-scale projects such as thermal power projects, the complexity and risks of hoisting operations have gradually increased. The protective layer of hoisted objects is mainly used to prevent the surface of objects from being damaged by scratches, collisions, etc., but the existing hoisting path planning methods often ignore this factor. In existing methods, although BIM technology provides visualization and simulation capabilities for construction, it usually fails to fully consider the safety of the protective layer of hoisted objects, resulting in possible damage to the surface of the hoisted objects and even safety accidents. Therefore, how to fully consider the protective layer requirements of hoisted objects in hoisting path planning and avoid damage to the protective layer has become an important technical requirement for improving construction safety and operation quality.

[0003] In the current related technologies, there is a technical problem of ignoring the protective layer of the hoisting object in the hoisting path planning. Summary of the invention

[0004] The present application solves the technical problem of neglecting the protective layer of the hoisting object in the existing hoisting path planning by providing a method and device for optimizing the hoisting path in the construction of a thermal power project combined with BIM.

[0005] This application provides a method for optimizing the hoisting path of a thermal power project construction combined with BIM, including:

[0006] Acquire a BIM modeling data set of a thermal power project, perform modeling according to the BIM modeling data set, and output a BIM construction simulation model; receive a first hoisting task, wherein the first hoisting task includes a task point; identify hoisting object data, perform path planning with the first hoisting task in the BIM construction simulation model based on the hoisting object data, and output N hoisting paths whose stability index is greater than a preset stability index; acquire hoisting object protection layer data, wherein the hoisting object protection layer data is protection layer data for protecting the hoisting object; input the hoisting object protection layer data as new data into the BIM construction simulation model to perform optimization in the N hoisting paths, output an optimal solution for the hoisting path, and execute the first hoisting task according to the optimal solution for the hoisting path.

[0007] This application also provides a thermal power project construction hoisting path optimization device combined with BIM, including:

[0008] A construction simulation model output module, the construction simulation model output module is used to obtain a BIM modeling data set of a thermal power project, perform modeling according to the BIM modeling data set, and output a BIM construction simulation model; a first hoisting task receiving module, the first hoisting task receiving module is used to receive a first hoisting task, and the first hoisting task includes a task point; a path planning module, the path planning module is used to identify hoisting object data, perform path planning with the first hoisting task in the BIM construction simulation model based on the hoisting object data, and output N hoisting paths whose stability index is greater than a preset stability index; a hoisting object protection layer data acquisition module, the hoisting object protection layer data acquisition module is used to obtain hoisting object protection layer data, and the hoisting object protection layer data is the protection layer data for protecting the hoisting object; a hoisting path optimal solution output module, the hoisting path optimal solution output module is used to input the hoisting object protection layer data as new data into the BIM construction simulation model to perform optimization in the N hoisting paths, output a hoisting path optimal solution, and execute the first hoisting task according to the hoisting path optimal solution.

[0009] The method and device for optimizing the hoisting path of a thermal power project in combination with BIM proposed in this application first construct a simulation model of the thermal power project construction through a BIM modeling data set; receive the first hoisting task and obtain the task point; identify the hoisting object data, and perform path planning in the BIM model, and output N hoisting paths whose stability meets the requirements; obtain and input the hoisting object protection layer data, optimize the hoisting path, output the optimal hoisting path and execute the hoisting task, thereby achieving the technical effect of effectively considering the hoisting object protection layer in the hoisting path planning, and avoiding damage to the protective layer of the hoisting object due to improper path planning during the hoisting process. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the accompanying drawings of the embodiment of the present invention will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the device according to the embodiment of the present application. It should be understood that the previous or following operations are not necessarily performed precisely in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0011] Figure 1 A flow chart of a method for optimizing the hoisting path of a thermal power project construction combined with BIM provided in an embodiment of the present application;

[0012] Figure 2 A schematic diagram of the structure of a device for optimizing the hoisting path for thermal power project construction in combination with BIM provided in an embodiment of the present application.

[0013] Explanation of the reference numerals: construction simulation model output module 10 , first hoisting task receiving module 20 , path planning module 30 , hoisting object protection layer data acquisition module 40 , hoisting path optimal solution output module 50 . DETAILED DESCRIPTION

[0014] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0015] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0016] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, device, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0017] The present application embodiment provides a method for optimizing the hoisting path of a thermal power project construction in combination with BIM, such as Figure 1 As shown, the method includes:

[0018] Step S100, obtain the BIM modeling data set of the thermal power project, perform modeling according to the BIM modeling data set, and output the BIM construction simulation model. Specifically, data is obtained from multiple sources such as engineering design documents, equipment supplier information, construction site geographic information, and construction progress process information, and organized into the BIM modeling data set of the thermal power project. Professional BIM modeling software is used to first build a site model based on geographic information data, then build a three-dimensional model of buildings such as the main plant according to the architectural design drawings and assign material and mechanical properties to the structural components, create a three-dimensional model of equipment such as boilers at the corresponding positions according to the equipment installation drawings and parameter manuals, and consider the internal structure and connection interface, integrate the building and equipment models into the site model, eliminate spatial conflicts through collision detection, add time attributes and process information to the model according to the construction progress and process, and finally output a BIM construction simulation model that can intuitively display the appearance of the thermal power project and provide comprehensive support for subsequent work.

[0019] Step S200, receiving the first hoisting task, which includes a task point. Specifically, after receiving the first hoisting task including the task point, immediately conduct a comprehensive analysis of the task information, accurately extract the starting position, target position and detailed coordinates of the intermediate points in the task point, and then associate these task points with the environmental data such as buildings, equipment, topography and landforms around the construction site obtained from the BIM construction simulation model, taking into account the height, shape and safety distance requirements of buildings such as cooling towers near the starting point, the door and window sizes and internal space layout of the main plant where the target point is located, the slope of the terrain, potholes and other surrounding construction activities in the construction progress, so as to determine the preliminary constraints related to the hoisting task point in the current environment, and lay the foundation for the subsequent hoisting path planning.

[0020] In a possible implementation, a first hoisting task is received, the first hoisting task includes a task point, and step S200 further includes step S210, determining whether the first hoisting task is a subtask of a continuous hoisting task. Specifically, after the first hoisting task is received and its path is preliminarily planned, the system determines the nature of the task. Whether the first hoisting task is a subtask of a continuous hoisting task is determined by querying a pre-set hoisting task sequence database or analyzing task correlation information in the overall construction plan. The judgment process will take into account many factors. For example, from the perspective of construction process flow, if the equipment installation involved in the first lifting task is the early part of the installation of a large-scale equipment combination, and it will inevitably be followed by the lifting and installation of other related equipment, then it may be part of a continuous lifting task; from the perspective of time scheduling and resource allocation plan, if after the first lifting task is completed, the same lifting equipment can be seamlessly connected to the next lifting task without large-scale adjustments and reallocation of resources, and the next task is logically closely linked to the first task, such as in thermal power projects, the boiler body is lifted first, followed by the lifting of the supporting piping system, etc., then the first lifting task will be judged as a subtask of the continuous lifting task.

[0021] Step S220, if the first hoisting task is a subtask of a continuous hoisting task, obtain a second hoisting task, wherein the second hoisting task is the next task of the first hoisting task. Specifically, if it is determined through judgment that the first hoisting task is a subtask of a continuous hoisting task, it is necessary to obtain the information of the second hoisting task. According to the construction plan document or the task list in the task scheduling system, the next task of the first hoisting task, that is, the second hoisting task, is searched and extracted according to the established task sequence. During the acquisition process, the task description of the second hoisting task is read, including detailed information of the hoisting object, such as name, model, weight, size, center of gravity position, etc., task requirements, such as accuracy requirements of the installation position, installation sequence requirements, etc., and task environment information, such as buildings, equipment, personnel activity areas, etc. around the hoisting site, to ensure a comprehensive and accurate understanding of the second hoisting task, and to provide a sufficient information basis for the subsequent optimization of its hoisting path based on the path optimization solution of the first hoisting task.

[0022] Step S230, optimize the hoisting path of the second hoisting task according to the optimal solution of the hoisting path corresponding to the first hoisting task. Specifically, after obtaining the second hoisting task, the path optimization is performed. According to the characteristics of the second hoisting task, a plurality of candidate hoisting paths are generated by using the path planning algorithm, and the paths are determined based on the task points of the second hoisting task itself, the characteristics of the hoisted objects, and the construction site environment. With the optimal solution of the hoisting path corresponding to the first hoisting task as a reference, the candidate hoisting paths of the second hoisting task are analyzed for coordination. For example, during the connection between the two tasks, analyze whether the moving trajectory of the hoisting equipment is smooth, whether large-scale steering, lifting and other operations are required, and the operation will affect the stability and efficiency of the hoisting equipment; consider whether the parking position and posture of the equipment after the completion of the first hoisting task match the requirements at the start of the second hoisting task to reduce the adjustment time and risk of the equipment; evaluate the spatial coordination between the two task paths, such as whether there will be path intersections that cause mutual interference or require additional safety avoidance measures. Through a comprehensive evaluation of coordination factors, several candidate paths with coordination greater than the preset coordination are screened out. From the selected candidate paths, the optimal solution of the hoisting path corresponding to the second hoisting task is further selected. The determination of the optimal solution will take into account multiple factors, such as the shortest path length to reduce hoisting time and energy consumption; the highest path safety to avoid collisions or interference with obstacles in the surrounding environment and other construction areas; the path has the least loss to the hoisting equipment, reducing equipment wear and fatigue, etc. After determining the optimal solution of the hoisting path for the second hoisting task, it will be applied to the actual hoisting operation plan, thereby improving the overall efficiency and safety of continuous hoisting tasks, realizing the overall optimization from the optimization of a single task to the continuous task sequence, and ensuring the smooth progress of the hoisting operation of the thermal power project construction.

[0023] In a possible implementation, the hoisting path of the second hoisting task is optimized according to the optimal solution of the hoisting path corresponding to the first hoisting task, and step S230 further includes step S231, obtaining N hoisting paths corresponding to the second hoisting task. Specifically, the detailed information of the second hoisting task is collected, including the physical characteristics such as the precise size, weight, and center of gravity of the hoisted object, and the specific coordinates of the task point, that is, the accurate location information of the starting point, the target point, and the possible intermediate points at the thermal power project construction site. The construction site environmental data provided by the BIM construction simulation model is analyzed, such as the layout and structure of the surrounding buildings, the location and shape of the installed equipment, the undulation of the terrain, etc. Based on this information, a path search space for the second hoisting task is constructed. In this space, a feasible search range is determined, for example, excluding areas completely occupied by buildings or installed equipment, and areas where terrain conditions do not allow the hoisting equipment to pass safely, such as steep slopes or low-lying waterlogged areas. A path planning algorithm is used, and the algorithm analyzes multiple factors to generate N hoisting paths. From the perspective of the geometry of the path, the algorithm will try different combinations of curves and broken lines to connect the starting point, the waypoints (if any) and the target point to ensure the rationality of the path in space. At the same time, the operating limitations of the lifting equipment, such as the maximum extension length of the crane arm, the minimum and maximum rotation angles, the lifting height limit, etc., are considered to ensure that the generated path is within the operating capacity of the lifting equipment. For example, for the lifting of large thermal power equipment, due to its large weight and volume, a larger crane arm extension length and a specific lifting height are required. The algorithm will generate a path on the premise of meeting these equipment operation requirements. In addition, the dynamic factors of the construction site will be analyzed, such as the space and time that other construction activities may occupy, to try to avoid conflicts between the path and other construction processes. Through continuous iteration and optimization, N different lifting paths are generated in the path search space. The paths are all feasible in the initial stage, but the coordination with the first lifting task path and other performance aspects need to be further evaluated.

[0024] Step S232, the hoisting path optimal solution is used to perform coordination analysis on the N hoisting paths, and M hoisting paths with coordination greater than the preset coordination are output. Specifically, a spatial coordination analysis is performed for the N hoisting paths. Each path is compared with the hoisting path optimal solution corresponding to the first hoisting task to check their connection in space. For example, it is evaluated whether a large spatial turn or height adjustment is required when moving along the candidate path from the end position of the first hoisting task to the starting position of the second hoisting task. If a path can maintain a relatively smooth spatial trajectory during this transition process, such as the boom of the hoisting equipment does not need to change sharply at an angle, and the adjustment of the hoisting height is relatively stable, then it has a good performance in terms of spatial coordination. At the same time, the layout of the path in the entire construction site space is analyzed to ensure that no new spatial conflicts will be generated with other buildings, equipment or ongoing construction activities. For example, it is checked whether the path will be close to the area where concrete pouring is being carried out, or whether it will pass through the maintenance and repair space of other equipment, etc., and the spatial coordination is quantified by calculating indicators such as the safe distance between the path and the surrounding environmental elements, and a batch of paths that are well coordinated with the optimal solution of the first hoisting task path in space are screened out. Then, the time coordination analysis is carried out. Consider the coordination of each candidate path with the optimal solution of the first hoisting task path in the time dimension. It is necessary to combine the construction schedule and the time arrangement of each construction process for evaluation. For example, analyze whether there is too long waiting time between the completion of the first hoisting task and the start of the second hoisting task along the candidate path, or whether the path selection will cause time conflicts with other key construction processes. If a path can minimize the connection time between the two tasks and will not interfere with the normal time schedule of other construction activities, then it has more advantages in time coordination. By simulating the construction time flow under different paths, calculating the time delay and time overlap during the path switching process, and further screening out the paths that meet the requirements in time coordination, combined with the spatial coordination screening results, M hoisting paths with coordination greater than the preset coordination are obtained.

[0025] Step S233, select the optimal solution of the hoisting path corresponding to the second hoisting task from the M hoisting paths. Specifically, for the M hoisting paths, determine the comprehensive performance evaluation index. The first is the safety index, including the minimum safe distance between the path and the surrounding obstacles, the safety of passing through complex environment areas (such as narrow passages, multi-equipment staggered areas, etc.). The larger the safety distance and the smaller the risk of passing through complex areas, the higher the safety. The second is the economic index, considering the time cost, energy consumption cost and wear cost of the hoisting equipment required for hoisting operations along the path. For example, a shorter path length often means less time and energy consumption, while fewer turning and height adjustment operations in the path can reduce equipment wear. Finally, there is the flexibility index, that is, the adaptability of the path in the face of temporary changes or unexpected situations that may occur at the construction site. For example, if the construction site suddenly needs to temporarily add a construction area or a certain equipment fails and needs to be detoured, the path with high flexibility can be adjusted more easily, and it can adapt to the new situation through minor changes. According to the above comprehensive performance evaluation indicators, the M hoisting paths are evaluated and compared in detail. The various indicators are combined by weighted summation and other methods to calculate a comprehensive performance score for each path. For example, the safety indicator may have a higher weight because safety is crucial in the construction of thermal power projects, while the economy and flexibility indicators are given corresponding weights according to the specific construction conditions. By comparing the comprehensive performance scores of each path, the path with the highest score is selected as the optimal solution for the hoisting path corresponding to the second hoisting task. The optimal solution will be applied in the subsequent actual execution of the second hoisting task to ensure the efficient and safe completion of the entire continuous hoisting task, while also taking into account the construction cost control and the ability to respond to emergencies.

[0026] Step S300, identifying the hoisting object data, performing path planning based on the hoisting object data in the BIM construction simulation model with the first hoisting task, and outputting N hoisting paths with stability index greater than the preset stability index. Specifically, the hoisting object data is identified from multiple channels, covering the type, geometric shape, size parameters, mass and distribution, center of gravity position, surface material characteristics and structural strength information, and sorted and archived. According to the requirements of the first hoisting task, combined with the performance parameters of the hoisting equipment and the environmental constraints of the construction site, the path planning algorithm is used to generate a path solution space and a large number of candidate hoisting paths in the BIM construction simulation model. Then, the hoisting process is simulated for each candidate path, and its center of gravity stability is calculated, the tilt angle is evaluated, and the sliding speed is considered to obtain the hoisting object stability index. Finally, the index is compared with the preset stability index determined based on the hoisting object characteristics and construction safety requirements, and N hoisting paths with stability index greater than the preset stability index are screened out, providing a path set that meets the basic stability requirements for subsequent path optimization.

[0027] In a possible implementation, the hoisting object data is identified, and path planning is performed with the first hoisting task in the BIM construction simulation model based on the hoisting object data, and N hoisting paths with stability index greater than the preset stability index are output. Step S300 further includes step S310, generating a path solution space with the first hoisting task, wherein the path solution space includes multiple candidate hoisting paths. Specifically, the first hoisting task is analyzed. Clarifying the starting position and target position of the hoisting object, accurate to three-dimensional coordinates, is the basic framework for building the path. Obtaining detailed parameters of the hoisting equipment, such as the length range of the boom, the lifting weight limit, the rotation angle range, and the extension capacity of the telescopic joint. In addition, the environmental information of the construction site is taken into consideration, including the precise layout of various buildings, the specific location and shape of the installed equipment, the undulating conditions of the terrain, and the distribution of obstacles in space. Based on the information, the spatial constraints of the path planning are determined. For example, based on the length of the boom and the lifting weight, the spatial range in which the hoisting equipment can effectively operate is delineated; based on the location of the buildings and obstacles, the inaccessible area is defined. Then, a path planning algorithm, such as the A* algorithm or Dijkstra algorithm based on graph search, is used to generate a path solution space containing multiple candidate lifting paths with the starting position as the starting point and the target position as the end point, while satisfying the spatial constraints. The candidate paths differ in terms of spatial trajectory, passing area, and operation complexity, and together constitute a set of paths that can be subsequently screened and optimized.

[0028] Step S320, based on the hoisting object data, stability analysis is performed in the BIM construction simulation model, and the hoisting object stability corresponding to each candidate hoisting path is output, wherein the hoisting object stability includes the center of gravity stability, tilt angle and sliding speed of the hoisting object. Specifically, for each candidate hoisting path in the path solution space, stability analysis is performed in the BIM construction simulation model based on the identified hoisting object data. The hoisting process is simulated by the model to accurately calculate the center of gravity stability of the hoisting object. During the simulation process, the coordinate change of the center of gravity of the hoisting object in three-dimensional space is monitored in real time, the offset relative to the ideal stable state is calculated, and a reasonable offset threshold is set. For example, for some hoisting objects with precise structures and sensitive to changes in the center of gravity, such as large steam turbine rotors, the offset threshold may be set to a smaller value to ensure that it will not be unbalanced due to excessive center of gravity offset during the hoisting process. Evaluate the tilt angle of the hoisting object, and use the angle measurement tool in the model to measure the change in the tilt angle of the hoisting object relative to the horizontal or vertical reference plane during the hoisting process. Different types of hoisted objects have different tolerances to tilt angles. For example, some equipment with precision instruments or vulnerable parts has a very small allowable tilt angle. Once exceeded, it may cause damage to internal components or loss of accuracy. Finally, consider the sliding speed of the hoisted object and calculate the change in the moving speed of the hoisted object on the path based on the time and displacement data recorded in the model. Too fast a sliding speed may make the hoisted object difficult to control and increase the risk of collision, so it is necessary to ensure that it is within a safe and controllable range. Through the above calculations and evaluations, the hoisting object stability index corresponding to each candidate hoisting path is obtained. These indexes fully reflect the stability performance of the hoisted object on the path.

[0029] Step S330, based on the multiple stability indicators corresponding to the multiple candidate lifting paths, N lifting paths whose stability indicators are greater than the preset stability indicators are screened. Specifically, after obtaining the multiple stability indicators corresponding to the multiple candidate lifting paths, the indicators are compared with the preset stability indicators one by one. The preset stability indicators are determined based on multiple factors such as the type of the hoisting object, structural characteristics, safety specifications, and construction experience. For example, for heavy steel structures, due to their relatively strong structure, the threshold of the center of gravity stability may be relatively loose, but there are still strict requirements for the tilt angle and sliding speed; and for fragile or high-precision equipment, the thresholds of the center of gravity stability, tilt angle, and sliding speed will be set extremely strictly. By comparison, N lifting paths whose stability indicators are greater than the preset stability indicators are screened. The screened paths perform relatively well in terms of the stability of the hoisted objects, can guarantee the safety and reliability of the hoisting operation to a certain extent, and provide a basic path subset that meets the stability requirements for further path optimization combined with other factors.

[0030] In a possible implementation, a path solution space is generated with the first lifting task, wherein the path solution space includes a plurality of candidate lifting paths, and step S310 further includes step S311, obtaining the lifting equipment of the first lifting task. Specifically, the lifting equipment information involved in the first lifting task is obtained. Data is collected from a variety of channels such as equipment management systems, equipment ledgers, or on-site field surveys. Not only basic information such as the specific model and brand of the lifting equipment should be determined, but also detailed performance parameters in its technical specifications should be obtained. For example, for a crawler crane, its internal technical indicators such as engine power and hydraulic system pressure should be clarified. This information is crucial for the subsequent accurate assessment of the equipment's capabilities and limitations in lifting tasks. At the same time, the equipment's maintenance records and recent usage are collected to determine whether the equipment is in good operating condition and whether there are potential hidden dangers of failure. If there are problems, additional safety margins need to be considered during path planning or the equipment needs to be repaired before the operation is performed.

[0031] Step S312, identifying the control parameters of the lifting equipment, including the number of degree of freedom nodes, the rotation radius load capacity and the boom length. Specifically, after the lifting equipment is determined, its key control parameters are identified. Determine the number of degree of freedom nodes, this parameter determines the flexibility of the lifting equipment in spatial operations. For example, a crane with multiple degree of freedom nodes can more accurately adjust the position and posture of the hoisted object in a complex construction site environment, and can achieve fine-tuning operations such as in a narrow space. Then there is the rotation radius, which defines the horizontal range that the crane boom can cover without moving the body of the crane. Obtaining the rotation radius helps to determine the surrounding area that can be reached when lifting at a specific position, so as to plan a reasonable lifting point and lifting path to avoid the inability to deliver the hoisted object to the target position due to insufficient rotation radius or collision with surrounding obstacles during the lifting process. Load capacity is an extremely critical parameter that directly limits the maximum weight of the hoisted object that can be lifted. If the weight of the hoisted object exceeds the load capacity of the equipment, it will not only cause damage to the equipment, but also cause serious safety accidents. Therefore, when planning the path, it is necessary to ensure that the weight of the hoisted objects corresponding to all candidate paths is within the load capacity of the equipment. Finally, the length of the boom affects the lifting height and horizontal lifting distance of the crane. A longer boom can lift higher objects at a longer distance, but it will also increase the operating difficulty and stability risk of the equipment. Therefore, when considering the path, it is necessary to combine the boom length to evaluate whether the lifting task from the starting point to the target point can be successfully completed, especially when there are building height restrictions or obstacles that need to be crossed over a certain distance.

[0032] Step S313, based on the control parameters as spatial constraints, generate the path solution space corresponding to the first lifting task. Specifically, according to the identified lifting equipment control parameters, they are converted into spatial constraints to construct the path solution space corresponding to the first lifting task. Based on the three-dimensional BIM model of the construction site, the operating range of the crane at different positions is first determined according to the rotation radius and the boom length. For example, a circular operating area is drawn with the center position of the crane as the origin and the rotation radius as the radius. The lifting height range at different angles is determined in combination with the boom length. The intersection of the area is the effective operating space of the crane at this position. Then consider the number of degree of freedom nodes. For equipment with higher degrees of freedom, more diverse lifting paths can be generated in the operating space, such as more complex curved lifting trajectories, while equipment with lower degrees of freedom may only generate simpler straight or broken line lifting paths. At the same time, the load capacity is used as a screening condition to exclude those paths that are not feasible because the weight of the hoisted object exceeds the equipment capacity. Through spatial constraints, path planning algorithms, such as those based on graph search or sampling algorithms, are used to generate a large number of candidate lifting paths in the BIM construction simulation model, and the paths together constitute the path solution space. In this space, each path meets the control parameter requirements of the lifting equipment and is a potential lifting solution under the constraints of equipment capacity and construction site environment, providing basic data for subsequent further screening and optimization.

[0033] In a possible implementation, based on the hoisting object data, stability analysis is performed in the BIM construction simulation model, and the hoisting object stability corresponding to each candidate hoisting path is output, wherein the hoisting object stability includes the center of gravity stability, tilt angle and sliding speed of the hoisting object, and step S320 further includes step S321, obtaining the hoisting equipment of the first hoisting task. Specifically, the detailed information of the hoisting equipment involved in the first hoisting task is collected. Basic information such as equipment model, manufacturer, service life, etc., as well as key technical parameters of the equipment, including maximum lifting weight, extension range of the crane arm, activity angle limit of each joint, power and torque of the power system, etc. are obtained from the technical manual, maintenance record and on-site inspection data of the equipment. After the data is sorted and digitized, it is imported into the BIM construction simulation model so that the model can accurately identify and simulate the performance characteristics of the hoisting equipment. For example, a three-dimensional model of the hoisting equipment is set in the model, and corresponding physical properties and motion constraints are assigned to each of its components for subsequent stability analysis.

[0034] Step S322, based on the hoisting equipment, stability analysis is performed in the BIM construction simulation model, and the equipment stability corresponding to each candidate hoisting path is output, wherein the equipment stability includes the load strength and motion smoothness of the hoisting equipment. Specifically, for each candidate hoisting path, the first step in performing equipment stability analysis in the BIM construction simulation model is to calculate the load strength of the hoisting equipment. According to the weight, shape, center of gravity position of the hoisted object and the motion state (such as acceleration, deceleration, steering, etc.) on the candidate path, the load borne by each force-bearing component of the hoisting equipment during the hoisting process is accurately calculated using the mechanical principles and the simulation algorithm in the model. For example, for the boom, its bending moment, axial tension and other loads at different positions and angles are calculated; for the hoisting rope or hook, the magnitude and direction of the tension it bears are calculated. At the same time, the calculated load strength is compared with the rated load capacity of the equipment to evaluate whether there is an overload risk. If the load strength of the equipment on a candidate path is close to or exceeds the rated value, then there is a greater hidden danger in the equipment stability of the path, which may cause equipment damage or even safety accidents. Monitor the motion smoothness of the hoisting equipment under each candidate hoisting path. In the BIM construction simulation model, the continuity and uniformity of the movement of the lifting equipment are analyzed by recording the changes in parameters such as position, speed and acceleration during the lifting process. For example, check whether there are sharp changes in speed or acceleration mutations when the equipment starts, stops and turns. If so, it will cause greater vibration and impact on the equipment, affecting the stability and service life of the equipment. It may also cause the hoisted objects to shake or shift, increasing the risk of lifting. For candidate paths with poor motion smoothness, the equipment stability is correspondingly low, which needs to be considered in the subsequent indicator optimization.

[0035] Step S323, optimize the multiple stability indicators according to the equipment stability corresponding to each candidate lifting path, and output the optimized multiple stability indicators. Specifically, after obtaining the equipment stability indicators (including load strength and motion smoothness) corresponding to each candidate lifting path, optimize the multiple stability indicators previously calculated based on the stability of the hoisting object. The weighted summation method is used to combine the equipment stability index with the hoisting object stability index (such as center of gravity stability, tilt angle and sliding speed) to determine the weight coefficient of each indicator. For example, for some lifting tasks that are more sensitive to equipment loss, the weight of the equipment stability index may be relatively high; while for precision hoisting objects, the weight of the hoisting object stability index may be greater. Comprehensively calculate each indicator according to the weight coefficient to obtain multiple optimized stability indicators. The optimized indicators can more comprehensively and accurately reflect the overall stability of each candidate lifting path, taking into account the state of the hoisting object during the lifting process and the operating stability of the hoisting equipment, providing a more reliable basis for the subsequent screening of a better lifting path.

[0036] Step S400, obtain the data of the protective layer of the hoisting object, and the data of the protective layer of the hoisting object is the data of the protective layer for protecting the hoisting object. Specifically, determine the source of the data of the protective layer of the hoisting object, including the data related to the protection measures designed for the characteristics of the equipment provided by the equipment manufacturer, such as the composition, thickness, hardness of the special coating or the material, size, installation method, etc. of the protective device, as well as the records of the protective treatment performed by the construction unit after receiving the equipment, and the relevant third-party test reports or technical research materials; then sort out the chemical composition, physical parameters, geometric information, etc. of the data collected from different sources according to the type of protective layer, such as coating type, physical protection type, etc., and classify them according to the performance indicators related to the hoisting process, so as to build an accurate and orderly data foundation for the subsequent path optimization in the BIM construction simulation model.

[0037] Step S500, input the hoisting object protection layer data as new data into the BIM construction simulation model to search for the best solution in the N hoisting paths, output the hoisting path optimal solution, and execute the first hoisting task according to the hoisting path optimal solution. Specifically, the collected hoisting object protection layer data in various formats are converted into a format that can be recognized and processed by the BIM construction simulation model and imported, so that it can be accurately matched with the hoisting object and environmental model in the model; then, a simulation analysis is carried out for the N hoisting paths in the model, the impact force and friction of the protective layer during the collision are calculated, the loss of the protective layer, the protection capacity and the deformation data are evaluated, and the protection effect index score of each path is obtained by weighted summation and other methods; then the scores are compared to determine the optimal solution of the hoisting path, and its time arrangement and construction process coordination and equipment operation convenience are verified and optimized; finally, the first hoisting task is executed according to the optimal solution, with the help of real-time monitoring of the model, the actual and optimal solution paths are compared, and timely adjustments are made in case of abnormalities, and the state of the protective layer is dynamically monitored to ensure the safe, efficient and high-quality completion of the task and protect the hoisting object protective layer.

[0038] In a possible implementation, the hoisting object protection layer data is input as new data into the BIM construction simulation model to search for the best among the N hoisting paths, and the hoisting path optimal solution is output, and the first hoisting task is performed according to the hoisting path optimal solution. Step S500 further includes step S510, constructing a protection effect evaluation model, wherein the protection effect evaluation model is connected to the BIM construction simulation model. Specifically, the protection effect evaluation model is constructed and connected to the BIM construction simulation model. The evaluation model adopts a multi-level architecture design, including a data input layer, a core evaluation layer and a result output layer. In the data input layer, a data interface that interacts with the BIM construction simulation model is defined to ensure that various types of data from the BIM model can be accurately received, such as the geometric shape, size, quality information of the hoisting object, and the environmental data of the construction site, including the spatial position and shape information of buildings, equipment, terrain, etc., and the newly added hoisting object protection layer data can also be accepted. The core evaluation layer is the key part of the model, and a series of evaluation parameters and algorithms are set based on mechanical principles, material knowledge and engineering practice experience. For example, for the evaluation of the loss data of the protective layer, parameters such as the wear coefficient and collision damage threshold of different materials are set; for the evaluation of the protection capacity data, a stress transfer model based on finite element analysis is established to analyze the dispersion effect of the protective layer on the internal stress when the hoisted object is subjected to external force; for the evaluation of the deformation data of the protective layer, an elastic mechanics model is used to calculate the deformation law of the protective layer of different materials and structures under stress. In the result output layer, the format and type of the output data are defined so that the protection layer loss data, protection capacity data and protection layer deformation data can be clearly presented.

[0039] Step S520, input the hoisting object protection layer data as new data into the BIM construction simulation model, use the protection effect evaluation model to evaluate the N hoisting paths respectively, and output protection layer loss data, protection capacity data and protection layer deformation data. Specifically, after the hoisting object protection layer data is input as new data into the BIM construction simulation model, the protection effect evaluation model begins to evaluate the N hoisting paths respectively. During the evaluation process, data is interacted with the BIM construction simulation model to obtain detailed motion information of the hoisting objects in each candidate path during the hoisting process, such as speed, acceleration, steering angle, etc., as well as contact with the surrounding environment, including the distance from buildings, equipment, etc., whether a collision occurs, and the angle and strength of the collision. Using the data, combined with the algorithms and parameters of the core evaluation layer, the protection layer loss data is calculated. For example, if a hoisted object collides slightly with an obstacle on a certain path, the amount of protective layer material loss caused by the collision is calculated based on the intensity of the collision, the wear coefficient of the protective layer material and the collision area; for the protection capacity data, by analyzing the external forces applied to the hoisted object during the lifting process, such as vibration, impact, etc., the stress transfer model is used to calculate the stress dispersion of the protective layer on the internal structure of the hoisted object. If the stress dispersion effect is good, the protection capacity is strong; for the deformation data of the protective layer, the elastic mechanics model is used to calculate the deformation of the protective layer, such as the degree of tensile, compression or bending deformation, according to the movement state and force conditions of the hoisted object on the path.

[0040] Step S530, outputs N protection effect indicators corresponding to the N lifting paths according to the protection layer loss data, protection capacity data and protection layer deformation data. Specifically, based on the calculated protection layer loss data, protection capacity data and protection layer deformation data, N protection effect indicators corresponding to the N lifting paths are comprehensively generated. The weighted summation method is adopted to determine the weight coefficient according to the actual needs of the project and the importance of each data. For example, for the lifting of precision equipment, the weight of the protection capacity data may be relatively high; and for hoisting objects with higher requirements on appearance, the weight of the protection layer loss data may be greater. After obtaining the protection effect index value of each path through weighted calculation, the index values ​​are sorted.

[0041] Step S540, select the optimal solution of the hoisting path according to the N protection effect indicators, wherein the optimal solution of the hoisting path is the hoisting path with the largest protection effect indicator. Specifically, the hoisting path with the largest protection effect index is selected as the optimal solution of the hoisting path. After determining the optimal solution, further analyze and verify it. Check whether the path meets the construction progress requirements, whether it is coordinated with other construction processes, and whether the operation of the hoisting equipment under the path is convenient and safe. At the same time, consider the unexpected situations that may occur at the construction site and evaluate the flexibility and adjustability of the path. After comprehensive analysis and verification, the optimal solution of the hoisting path is finally determined and applied to the actual hoisting task to ensure that the protective layer of the hoisted object is protected to the maximum extent during the hoisting process and to improve the quality and safety of the hoisting operation.

[0042] The embodiment of the present application adopts a method of constructing a thermal power project construction simulation model through a BIM modeling data set; receiving a first hoisting task and obtaining a task point; identifying hoisting object data, and performing path planning in the BIM model, and outputting N hoisting paths whose stability meets the requirements; obtaining and inputting hoisting object protection layer data, optimizing the hoisting path, outputting the optimal hoisting path and executing the hoisting task, thereby achieving the technical effect of effectively considering the hoisting object protection layer in the hoisting path planning, and avoiding damage to the protective layer of the hoisting object due to improper path planning during the hoisting process.

[0043] In the above, refer to Figure 1 The present invention describes in detail a method for optimizing the hoisting path of a thermal power project in combination with BIM according to an embodiment of the present invention. Figure 2 A device for optimizing the hoisting path of a thermal power project construction combined with BIM according to an embodiment of the present invention is described.

[0044] The device for optimizing the hoisting path for thermal power engineering construction combined with BIM according to an embodiment of the present invention is used to solve the technical problem of ignoring the protective layer of the hoisted object in the existing hoisting path planning, and achieves the technical effect of effectively considering the protective layer of the hoisted object in the hoisting path planning, and avoiding damage to the protective layer of the hoisted object due to improper path planning during the hoisting process. The device for optimizing the hoisting path for thermal power engineering construction combined with BIM includes: a construction simulation model output module 10, a first hoisting task receiving module 20, a path planning module 30, a hoisting object protective layer data acquisition module 40, and a hoisting path optimal solution output module 50.

[0045] The construction simulation model output module 10 is used to obtain a BIM modeling data set of a thermal power project, perform modeling according to the BIM modeling data set, and output a BIM construction simulation model.

[0046] The first hoisting task receiving module 20 is used to receive a first hoisting task, where the first hoisting task includes a task point.

[0047] The path planning module 30 is used to identify the hoisting object data, perform path planning with the first hoisting task in the BIM construction simulation model based on the hoisting object data, and output N hoisting paths whose stability index is greater than a preset stability index.

[0048] The hoisting object protection layer data acquisition module 40 is used to acquire the hoisting object protection layer data, and the hoisting object protection layer data is the protection layer data for protecting the hoisting object.

[0049] The lifting path optimal solution output module 50 is used to input the lifting object protection layer data as new data into the BIM construction simulation model to perform optimal search among the N lifting paths, output the lifting path optimal solution, and execute the first lifting task according to the lifting path optimal solution.

[0050] The specific configuration of the first hoisting task receiving module 20 will be described in detail below. As described above, a first hoisting task is received, the first hoisting task includes a task point, and the first hoisting task receiving module 20 further includes: a subtask judgment unit, the subtask judgment unit is used to judge whether the first hoisting task is a subtask of a continuous hoisting task; a second hoisting task acquisition unit, the second hoisting task acquisition unit is used to obtain a second hoisting task if the first hoisting task is a subtask of a continuous hoisting task, wherein the second hoisting task is the next task of the first hoisting task; a hoisting path optimization unit, the hoisting path optimization unit is used to optimize the hoisting path of the second hoisting task according to the hoisting path optimal solution corresponding to the first hoisting task.

[0051] Among them, the lifting path of the second lifting task is optimized according to the lifting path optimal solution corresponding to the first lifting task, and the lifting path optimization unit further includes: a lifting path acquisition subunit, the lifting path acquisition subunit is used to acquire N lifting paths corresponding to the second lifting task; a coordination analysis subunit, the coordination analysis subunit is used to perform coordination analysis on the N lifting paths with the lifting path optimal solution, and output M lifting paths whose coordination is greater than the preset coordination; a lifting path optimal solution selection subunit, the lifting path optimal solution selection subunit is used to select the lifting path optimal solution corresponding to the second lifting task from the M lifting paths.

[0052] Below, the specific configuration of the path planning module 30 will be described in detail. As described above, the hoisting object data is identified, and path planning is performed in the BIM construction simulation model based on the hoisting object data with the first hoisting task, and N hoisting paths with stability indicators greater than the preset stability indicators are output. The path planning module 30 further includes: a path solution space generation unit, the path solution space generation unit is used to generate a path solution space with the first hoisting task, wherein the path solution space includes multiple candidate hoisting paths; a stability analysis unit, the stability analysis unit is used to perform stability analysis in the BIM construction simulation model based on the hoisting object data, and output the hoisting object stability corresponding to each candidate hoisting path, wherein the hoisting object stability includes the center of gravity stability, tilt angle and sliding speed of the hoisting object; a stability index screening unit, the stability index screening unit is used to screen N hoisting paths with stability indicators greater than the preset stability index based on multiple stability indicators corresponding to the multiple candidate hoisting paths.

[0053] Wherein, based on the hoisting object data, a stability analysis is performed in the BIM construction simulation model, and the hoisting object stability corresponding to each candidate hoisting path is output, wherein the hoisting object stability includes the center of gravity stability, inclination angle and sliding speed of the hoisting object, and the stability analysis unit further includes: a hoisting equipment acquisition subunit, the hoisting equipment acquisition subunit is used to acquire the hoisting equipment of the first hoisting task; a stability analysis subunit, the stability analysis subunit is used to perform stability analysis in the BIM construction simulation model based on the hoisting equipment, and output the equipment stability corresponding to each candidate hoisting path, wherein the equipment stability includes the load strength and movement smoothness of the hoisting equipment; a stability index optimization subunit, the stability index optimization subunit is used to optimize the multiple stability indicators according to the equipment stability corresponding to each candidate hoisting path, and output the optimized multiple stability indicators.

[0054] Among them, a path solution space is generated based on the first lifting task, wherein the path solution space includes multiple candidate lifting paths, and the path solution space generation unit further includes: a lifting equipment acquisition subunit, the lifting equipment acquisition subunit is used to obtain the lifting equipment of the first lifting task; a control parameter identification subunit, the control parameter identification subunit is used to identify the control parameters of the lifting equipment, including the number of freedom nodes, the rotation radius load capacity and the boom length; a path solution space generation subunit, the path solution space generation subunit is used to generate the path solution space corresponding to the first lifting task based on the control parameters as spatial constraints.

[0055] The specific configuration of the lifting path optimization output module 50 will be described in detail below. As described above, the lifting object protection layer data is input as new data into the BIM construction simulation model to perform optimization in the N lifting paths, and the lifting path optimization solution is output. The first lifting task is performed according to the lifting path optimization solution. The lifting path optimization output module 50 further includes: a protection effect evaluation model construction unit, the protection effect evaluation model construction unit is used to construct a protection effect evaluation model, wherein the protection effect evaluation model is connected to the BIM construction simulation model; a lifting path evaluation unit, the lifting path evaluation unit is used to input the lifting object protection layer data as new data into the BIM construction simulation model. In the BIM construction simulation model, the N lifting paths are evaluated respectively by the protection effect evaluation model, and the protection layer loss data, protection capacity data and protection layer deformation data are output; a protection effect index output unit is used to output N protection effect indicators corresponding to the N lifting paths according to the protection layer loss data, protection capacity data and protection layer deformation data; a lifting path optimal solution selection unit is used to select a lifting path optimal solution according to the N protection effect indicators, wherein the lifting path optimal solution is the lifting path with the largest protection effect index.

[0056] The device for optimizing the hoisting path for construction of a thermal power project combined with BIM provided in an embodiment of the present invention can execute the method for optimizing the hoisting path for construction of a thermal power project combined with BIM provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0057] Although the present application makes various references to certain modules in the device according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0058] The above specific implementation manner does not constitute a limitation to the protection scope of the present application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be performed in an order different from that in the embodiment and can still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A method for optimizing the hoisting path of a thermal power project construction combined with BIM, characterized in that: The method comprises: Acquire a BIM modeling data set of a thermal power project, perform modeling according to the BIM modeling data set, and output a BIM construction simulation model; receiving a first hoisting task, wherein the first hoisting task includes a task point; Identify hoisting object data, perform path planning with the first hoisting task in the BIM construction simulation model based on the hoisting object data, and output N hoisting paths whose stability index is greater than a preset stability index; Acquire the protective layer data of the hoisted object, wherein the protective layer data of the hoisted object is the protective layer data for protecting the hoisted object; The protective layer data of the hoisted object is input as new data into the BIM construction simulation model to perform optimization among the N hoisting paths, output an optimal solution of the hoisting path, and execute the first hoisting task according to the optimal solution of the hoisting path.

2. The method according to claim 1, characterized in that Based on the hoisting object data, path planning is performed in the BIM construction simulation model with the first hoisting task, and N hoisting paths having stability indicators greater than a preset stability indicator are output, the method comprising: Generate a path solution space based on the first hoisting task, wherein the path solution space includes a plurality of candidate hoisting paths; Based on the hoisting object data, stability analysis is performed in the BIM construction simulation model to output the hoisting object stability corresponding to each candidate hoisting path, wherein the hoisting object stability includes the center of gravity stability, tilt angle and sliding speed of the hoisting object; Based on the multiple stability indicators corresponding to the multiple candidate lifting paths, N lifting paths whose stability indicators are greater than preset stability indicators are screened.

3. The method according to claim 2, characterized in that Performing stability analysis in the BIM construction simulation model, the method further includes: Obtaining the hoisting equipment for the first hoisting task; Based on the hoisting equipment, stability analysis is performed in the BIM construction simulation model to output the equipment stability corresponding to each candidate hoisting path, wherein the equipment stability includes the load strength and motion smoothness of the hoisting equipment; The multiple stability indicators are optimized according to the equipment stability corresponding to each candidate lifting path, and the optimized multiple stability indicators are output.

4. The method according to claim 1, characterized in that The protective layer data of the hoisted object is input as new data into the BIM construction simulation model to perform optimization in the N hoisting paths, and an optimal solution of the hoisting path is output, the method comprising: Constructing a protection effect evaluation model, wherein the protection effect evaluation model is connected with the BIM construction simulation model; Input the protective layer data of the hoisted object as new data into the BIM construction simulation model, evaluate the N hoisting paths respectively using the protection effect evaluation model, and output protective layer loss data, protection capacity data and protective layer deformation data; Outputting N protection effect indicators corresponding to the N lifting paths according to the protection layer loss data, the protection capacity data and the protection layer deformation data; According to the N protection effect indicators, an optimal solution of the lifting path is selected, wherein the optimal solution of the lifting path is the lifting path with the largest protection effect indicator.

5. The method according to claim 1, characterized in that After receiving the first lifting task, the method further includes: Determining whether the first hoisting task is a subtask of a continuous hoisting task; If the first hoisting task is a subtask of a continuous hoisting task, obtaining a second hoisting task, wherein the second hoisting task is the next task of the first hoisting task; The lifting path of the second lifting task is optimized according to the optimal solution of the lifting path corresponding to the first lifting task.

6. The method according to claim 5, characterized in that The hoisting path of the second hoisting task is optimized according to the hoisting path optimal solution corresponding to the first hoisting task, and the method includes: Obtaining N lifting paths corresponding to the second lifting task; Performing coordination analysis on the N hoisting paths with the optimal solution of the hoisting path, and outputting M hoisting paths whose coordination is greater than a preset coordination; An optimal lifting path solution corresponding to the second lifting task is selected from the M lifting paths.

7. The method according to claim 2, characterized in that The path solution space is generated based on the first lifting task, and the method includes: Obtaining the hoisting equipment for the first hoisting task; Identifying control parameters of the lifting equipment, including the number of degree of freedom nodes, rotation radius load capacity, and boom length; According to the control parameters as space constraints, a path solution space corresponding to the first lifting task is generated.

8. The BIM-based thermal power project construction hoisting path optimization device is characterized by: The device is used to implement the method for optimizing the hoisting path of a thermal power project construction combined with BIM according to any one of claims 1 to 7, and the device comprises: A construction simulation model output module, wherein the construction simulation model output module is used to obtain a BIM modeling data set of a thermal power project, perform modeling according to the BIM modeling data set, and output a BIM construction simulation model; A first hoisting task receiving module, the first hoisting task receiving module is used to receive a first hoisting task, the first hoisting task includes a task point; A path planning module, the path planning module is used to identify hoisting object data, perform path planning with the first hoisting task in the BIM construction simulation model based on the hoisting object data, and output N hoisting paths whose stability index is greater than a preset stability index; A hoisting object protection layer data acquisition module, the hoisting object protection layer data acquisition module is used to acquire hoisting object protection layer data, the hoisting object protection layer data is the protection layer data for protecting the hoisting object; A lifting path optimization solution output module is used to input the lifting object protection layer data as new data into the BIM construction simulation model to perform optimization among the N lifting paths, output the lifting path optimization solution, and execute the first lifting task according to the lifting path optimization solution.

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