BIM-based method and device for optimizing the hoisting path in thermal power project construction

Abstract

The present invention discloses a method and device for optimizing the hoisting path of a thermal power project in combination with BIM, which relates to the field of engineering technology. The method comprises: 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, outputting N hoisting paths with stability that meets requirements; obtaining and inputting hoisting object protection layer data, optimizing the hoisting path, outputting the optimal hoisting path, and executing the hoisting task. The method solves the technical problem of ignoring the hoisting object protection layer in existing hoisting path planning, and achieves the technical effect of effectively considering the hoisting object protection layer in hoisting path planning, and avoiding damage to the protective layer of the hoisting object due to improper path planning during the hoisting process.

Description

Technical Field

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

[0002] With the rapid development of the construction industry, especially large-scale projects such as thermal power plants, the complexity and risks of hoisting operations have gradually increased. The protective layer of hoisted objects is mainly used to prevent the surface of the object from being damaged by scratches, collisions, etc., but 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 the 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 the 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 hoisted object in the hoisting path planning. Summary of the Invention

[0004] This 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 thermal power project construction combined with BIM.

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

[0006] 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; 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; obtain 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 BIM-based thermal power project construction hoisting path optimization device, 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, the first hoisting task including 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, 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 hoisting path optimization method and device for thermal power project construction combined with BIM proposed in this application first construct a thermal power project construction simulation model through the 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 with stability that 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] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings of the embodiments of the present invention are briefly introduced below. Flowcharts are used in this application to illustrate the operations performed by the apparatus according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in exact sequence. Instead, various steps may be processed in reverse order or simultaneously as needed. Furthermore, other operations may be added to these processes, or one or more operations may be removed from these processes.

[0011] Figure 1 A flow chart of a method for optimizing the hoisting path for thermal power project construction in combination 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 accompanying 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 purpose, technical solutions and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limiting this application. All other embodiments obtained by ordinary technicians in this 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 describes a subset of all possible embodiments, but it will be 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 the 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 commonly understood by those skilled in the art to which this application belongs. The terms used herein are for the purpose of describing the embodiments of this application only.

[0017] The embodiment of the present application 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 a BIM modeling dataset for the thermal power project, perform modeling based on the BIM modeling dataset, and output a 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 and process information, and organized into a BIM modeling dataset for the thermal power project. Using professional BIM modeling software, a site model is first constructed based on the geographic information data. A three-dimensional model of a building, such as the main plant, is then constructed according to the architectural design drawings, and the material and mechanical properties of the structural components are assigned. A three-dimensional model of equipment, such as the boiler, is created at the corresponding location based on the equipment installation drawings and parameter manual, taking into account the internal structure and connection interfaces. The building and equipment models are then integrated into the site model. Spatial conflicts are eliminated through collision detection. Time attributes and process information are added to the model based on the construction progress and process. Finally, a BIM construction simulation model is output 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, etc. around the construction site obtained from the BIM construction simulation model. Consider 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 factory building where the target point is located, the slope of the terrain, pothole conditions, and the impact of other surrounding construction activities during 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 subsequent hoisting path planning.

[0020] In one possible implementation, a first lifting task is received, the first lifting task including a task point. Step S200 further includes step S210, determining whether the first lifting task is a subtask of a continuous lifting task. Specifically, after the first lifting task is received and its path is preliminarily planned, the system determines the nature of the task. Whether the first lifting task is a subtask of a continuous lifting task is determined by querying a pre-defined lifting task sequence database or analyzing task relevance 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 must 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 connected with the first task. For example, in a thermal power project, 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 the 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 second hoisting task information. 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 in accordance with 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 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, path optimization is performed. According to the characteristics of the second hoisting task, a plurality of candidate hoisting paths are generated using a path planning algorithm. The paths are determined based on factors such as 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, a coordination analysis is performed on the candidate hoisting paths of the second hoisting task. For example, during the connection between the two tasks, analyze whether the movement trajectory of the hoisting equipment is smooth, whether large-scale steering, lifting and other operations are required, and whether the operations 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 the coordination factors, several candidate paths with coordination greater than the preset coordination are screened out. From the selected candidate paths, the optimal solution for 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 minimizes the loss of hoisting equipment to reduce equipment wear and fatigue, etc. After determining the optimal solution for the hoisting path of the second hoisting task, it will be applied to the actual hoisting operation plan to improve the overall efficiency and safety of continuous hoisting tasks, realize the overall optimization from single task optimization to continuous task sequence optimization, and ensure the smooth progress of the hoisting operation of the thermal power project construction.

[0023] In one possible implementation, the lifting path for the second lifting task is optimized based on the optimal solution for the lifting path corresponding to the first lifting task. Step S230 further includes step S231, obtaining N lifting paths corresponding to the second lifting task. Specifically, detailed information about the second lifting task is collected, including the precise physical characteristics of the hoisted object, such as its size, weight, and center of gravity, as well as the specific coordinates of the task points, namely, the exact location information of the starting point, target point, and any intermediate points at the thermal power project construction site. Construction site environmental data provided by the BIM construction simulation model is analyzed, such as the layout and structure of surrounding buildings, the location and shape of installed equipment, and the undulating terrain. Based on this information, a path search space for the second lifting task is constructed. Within this space, a feasible search range is determined, for example, excluding areas completely occupied by buildings or installed equipment, as well as areas where terrain conditions prevent the safe passage of lifting equipment, such as steep slopes or low-lying, flooded areas. A path planning algorithm is employed, analyzing multiple factors to generate the N lifting paths. From a path geometry perspective, the algorithm attempts different combinations of curves and broken lines to connect the starting point, waypoints (if any), and the destination point, ensuring spatial plausibility of the path. Furthermore, the algorithm considers the operational limitations of the lifting equipment, such as the maximum boom reach, minimum and maximum swing angles, and lifting height restrictions, to ensure that the generated path is within the equipment's operational capabilities. For example, the lifting of large thermal power equipment requires a longer boom reach and a specific lifting height due to its weight and size. The algorithm generates a path that meets these equipment operational requirements. Furthermore, the algorithm analyzes dynamic factors at the construction site, such as the space and time that other construction activities may occupy, to minimize conflicts between the paths and other construction processes. Through continuous iteration and optimization, N different lifting paths are generated within the path search space. Initially, these paths appear feasible, but their compatibility with the path for the initial lifting task and other performance aspects require further evaluation.

[0024] In step S232, the optimal solution for the hoisting path is used to perform a coordination analysis on the N hoisting paths, and M hoisting paths with coordination greater than a preset coordination are output. Specifically, a spatial coordination analysis is performed on the N hoisting paths. Each path is compared with the optimal solution for the hoisting path corresponding to the first hoisting task to check their spatial connection. For example, the evaluation is made as to 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, such as the boom of the hoisting equipment does not need to make a sharp angle change and the adjustment of the lifting height is relatively smooth, then it has good performance in terms of spatial coordination. At the same time, the layout of the path within the entire construction site space is analyzed to ensure that no new spatial conflicts will arise 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 in progress, or whether it will pass through the maintenance and repair space of other equipment. The spatial coordination is quantified by calculating indicators such as the safe distance between the path and the surrounding environmental elements, and a group of paths that have good spatial coordination with the optimal solution for the first hoisting task path are screened out. Then, a time coordination analysis is performed. Consider how each candidate path coordinates 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 a 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 does not interfere with the normal time schedule of other construction activities, then it has more advantages in time coordination. By simulating the construction time process 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 terms of time coordination, combined with the spatial coordination screening results, M hoisting paths with coordination greater than the preset coordination are obtained.

[0025] In step S233, the optimal lifting path corresponding to the second lifting task is selected from the M lifting paths. Specifically, comprehensive performance evaluation indicators are determined for the M lifting paths. The first is safety, including the minimum safe distance between the path and surrounding obstacles, and safety in complex environments (such as narrow passages and areas with multiple equipment). The greater the safety distance and the lower the risk of navigating complex areas, the higher the safety. The second is economic efficiency, taking into account the time cost, energy consumption, and wear and tear on the lifting equipment required to perform the lifting operation along the path. For example, a shorter path often means less time and energy consumption, while fewer turns and height adjustments within the path can reduce equipment wear. Finally, flexibility refers to the path's adaptability to temporary changes or unexpected situations that may occur at the construction site. For example, if the construction site suddenly needs to add a new construction area or a piece of equipment malfunctions and requires a detour, a highly flexible path can be more easily adjusted, allowing it to adapt to the new situation with minimal modifications. Based on these comprehensive performance evaluation indicators, the M lifting paths are evaluated and compared in detail. Each path is combined using methods such as weighted summation to calculate a comprehensive performance score. For example, safety may be given a higher weight due to its paramount importance in thermal power project construction, while economy and flexibility are weighted accordingly based on the specific construction situation. By comparing the comprehensive performance scores of each path, the path with the highest score is selected as the optimal solution for the second lifting task. This optimal solution will be applied in the subsequent execution of the second lifting task to ensure the efficient and safe completion of the entire continuous lifting task, while also taking into account construction cost control and the ability to respond to emergencies.

[0026] Step S300, identify the hoisting object data, perform path planning based on the hoisting object data in the BIM construction simulation model with the first hoisting task, and output N hoisting paths with stability indicators greater than the preset stability indicators. Specifically, identify the hoisting object data 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 organize and archive them. 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, use the path planning algorithm to generate a path solution space and a large number of candidate hoisting paths in the BIM construction simulation model. Then, simulate the hoisting process for each candidate path, calculate its center of gravity stability, evaluate the tilt angle, and consider the sliding speed to obtain the hoisting object stability index. Finally, compare the index with the preset stability index determined based on the hoisting object characteristics and construction safety requirements, and screen out N hoisting paths with stability indicators greater than the preset stability index, providing a path set that meets the basic stability requirements for subsequent path optimization.

[0027] In one possible implementation, data on the hoisted object is identified, and path planning is performed within the BIM construction simulation model based on the data for the first hoisting task. N hoisting paths with stability indicators greater than a preset stability indicator are output. Step S300 further includes step S310, where a path solution space is generated based on the first hoisting task, wherein the path solution space includes multiple candidate hoisting paths. Specifically, the first hoisting task is analyzed. Determining the starting and target positions of the hoisted object, accurate to three-dimensional coordinates, provides the foundation for path construction. Detailed parameters of the hoisting equipment are obtained, such as the boom length range, lifting weight limit, slewing angle range, and telescopic joint extension capacity. Furthermore, environmental information about the construction site is taken into consideration, including the precise layout of various buildings, the specific location and outline of installed equipment, the undulating terrain, and the distribution of obstacles in the space. Based on this information, spatial constraints for path planning are determined. For example, the boom length and lifting weight are used to define the spatial range within which the hoisting equipment can effectively operate, and the location of buildings and obstacles is used to define inaccessible areas. Then, using a path planning algorithm, such as the graph-based A* or Dijkstra algorithm, starting from the starting location and ending at the target location, a solution space containing multiple candidate lifting paths is generated, subject to spatial constraints. These candidate paths vary in terms of spatial trajectory, traversal area, and operational complexity, forming a set of paths that can be subsequently screened and optimized.

[0028] Step S320, based on the hoisting object data, a stability analysis is performed in the BIM construction simulation model, and the hoisting object stability index corresponding to each candidate hoisting path is output, wherein the hoisting object stability index 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, a 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 changes of the center of gravity of the hoisting object in three-dimensional space are monitored in real time, its 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 turbine rotors, the offset threshold may be set smaller to ensure that it will not become unbalanced due to excessive center of gravity offset during the hoisting process. The tilt angle of the hoisting object is evaluated, and the angle measurement tool in the model is used 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 fragile parts has an extremely 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 along the path based on the time and displacement data recorded in the model. Excessive 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 along the path.

[0029] Step S330, based on the multiple stability indices corresponding to the multiple candidate lifting paths, N lifting paths whose stability indices are greater than the preset stability indices are screened. Specifically, after obtaining the multiple stability indices corresponding to the multiple candidate lifting paths, the indices are compared with the preset stability indices one by one. The preset stability indices are determined based on a comprehensive combination of 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 value of the center of gravity stability may be relatively loose, but there are still strict requirements for the tilt angle and sliding speed; while for fragile or high-precision equipment, the threshold values ​​of the center of gravity stability, tilt angle, and sliding speed will be set extremely strictly. By comparison, N lifting paths whose stability indices are greater than the preset stability indices are screened out. The screened paths perform relatively well in terms of the hoisting object stability indices, and can ensure the safety and reliability of the lifting operation to a certain extent, providing a basic path subset that meets the stability requirements for subsequent path optimization in combination with other factors.

[0030] In one possible implementation, a path solution space is generated based on the first lifting task, wherein the path solution space includes multiple candidate lifting paths, and step S310 further includes step S311, obtaining the lifting equipment for the first lifting task. Specifically, the lifting equipment information involved in the first lifting task is obtained. Data is collected from various 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 must be determined, but also detailed performance parameters in its technical specifications must be obtained. For example, for a crawler crane, its internal technical indicators such as engine power and hydraulic system pressure must 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 fault hazards. If there are problems, additional safety margins must be considered during path planning or the equipment must be repaired before the operation can be carried out.

[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, and 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, there is the boom length. The length of the boom affects the lifting height and horizontal lifting distance of the crane. A longer boom can lift hoisted objects at a higher position at a longer distance, but it will also increase the operating difficulty and stability risk of the equipment. Therefore, when considering the path, the boom length should be combined 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 generates a path solution space corresponding to the first lifting task, using the control parameters as spatial constraints. Specifically, the identified lifting equipment control parameters are converted into spatial constraints to construct a path solution space corresponding to the first lifting task. Based on the three-dimensional BIM model of the construction site, the crane's operating range at different positions is first determined based on the rotation radius and boom length. For example, a circular operating area is drawn with the crane's center as the origin and the rotation radius as the radius. The lifting height range at different angles is determined based on the boom length. The intersection of these areas represents the crane's effective operating space at that position. The number of nodes with higher degrees of freedom is then considered. For equipment with higher degrees of freedom, a more diverse lifting path can be generated within the operating space, such as a more complex curved lifting trajectory. However, equipment with lower degrees of freedom may only be able to generate simpler straight or broken-line lifting paths. Furthermore, load capacity is used as a screening criterion to exclude paths that are infeasible due to the weight of the hoisted object exceeding the equipment's capacity. By applying spatial constraints and using path planning algorithms, such as those based on graph search or sampling, a large number of candidate lifting paths are generated within the BIM construction simulation model. These paths collectively constitute the path solution space. Within this space, each path satisfies the control parameter requirements of the lifting equipment and represents a potential lifting solution within the constraints of equipment capacity and the construction site environment, providing foundational data for subsequent screening and optimization.

[0033] In one possible implementation, based on the hoisting object data, a stability analysis is performed in the BIM construction simulation model, and a hoisting object stability index corresponding to each candidate hoisting path is output, wherein the hoisting object stability index includes the center of gravity stability, tilt angle and sliding speed of the hoisting object. Step S320 further includes step S321, obtaining the hoisting equipment for the first hoisting task. Specifically, 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, boom extension range, movable angle limit of each joint, power and torque of the power system, etc. are obtained from the equipment's technical manual, maintenance records and on-site inspection data. 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 its various components for subsequent stability analysis.

[0034] In step S322, a stability analysis is performed on the lifting equipment within the BIM construction simulation model, outputting the equipment stability corresponding to each candidate lifting path. The equipment stability includes the load strength and motion smoothness of the lifting equipment. Specifically, for each candidate lifting path, the primary step in the equipment stability analysis within the BIM construction simulation model is to calculate the load strength of the lifting equipment. Based on the weight, shape, center of gravity position of the hoisted object, and the motion state (such as acceleration, deceleration, and steering) along the candidate path, mechanical principles and simulation algorithms within the model are used to accurately calculate the loads borne by each load-bearing component of the lifting equipment during the lifting process. For example, for the boom, the bending moment, axial tension, and other loads are calculated at different positions and angles. For the lifting rope or hook, the magnitude and direction of the tension borne are calculated. The calculated load strength is then compared with the rated load capacity of the equipment to assess whether there is an overload risk. If the load strength of the equipment on a candidate path approaches or exceeds the rated value, there is a significant risk of equipment stability on that path, potentially leading to equipment damage or even a safety accident. The motion smoothness of the lifting equipment along each candidate lifting path is monitored. In the BIM construction simulation model, the continuity and uniformity of the lifting equipment's motion are analyzed by recording how parameters such as position, speed, and acceleration change over time during the lifting process. For example, the team checks for sudden speed changes or acceleration spikes during starting, stopping, and turning. If so, these can cause significant vibration and impact on the equipment, impacting its stability and service life. They can also cause the hoisted object to wobble or shift, increasing lifting risks. Candidate paths with poor motion smoothness have correspondingly lower equipment stability, which needs to be considered in subsequent performance optimization.

[0035] In step S323, the multiple stability indices are optimized based on the equipment stability corresponding to each candidate lifting path, and multiple optimized stability indices are output. Specifically, after obtaining the equipment stability indices (including load strength and motion smoothness) corresponding to each candidate lifting path, the multiple stability indices previously calculated based on the load stability indices are optimized. Using methods such as weighted summation, the equipment stability indices are combined with load stability indices (such as center of gravity stability, tilt angle, and sliding speed) to determine weight coefficients for each indice. For example, for lifting tasks that are more sensitive to equipment wear and tear, the equipment stability indices may be given a relatively high weight; for precision lifting tasks, the load stability indices may be given a higher weight. Based on the weight coefficients, each indices are comprehensively calculated to obtain multiple optimized stability indices. These optimized indices more comprehensively and accurately reflect the overall stability of each candidate lifting path, taking into account both the state of the load during lifting and the operational stability of the lifting equipment, providing a more reliable basis for subsequent selection of the optimal lifting path.

[0036] Step S400, obtain the data of the protective layer of the hoisted object, which is the data of the protective layer for protecting the hoisted object. Specifically, determine the source of the protective layer data of the hoisted 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 of the protective device, as well as the records of the protective treatment performed by the construction unit after receiving the equipment, and relevant third-party inspection reports or technical research materials; then organize 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] In step S500, the hoisting object protection layer data is input as new data into the BIM construction simulation model to search for the optimal solution in the N hoisting paths, output the optimal solution of the hoisting path, and execute the first hoisting task according to the optimal solution of the hoisting path. Specifically, the collected hoisting object protection layer data in various formats is converted into a format that can be recognized and processed by the BIM construction simulation model and imported so that it is 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 to calculate the impact force and friction of the protective layer during collision, evaluate the loss, protection capacity and deformation data of the protective layer, and use weighted summation and other methods to obtain the protection effect index score of each path; then, the scores are compared to determine the optimal solution of the hoisting path, verify its time arrangement and coordination with the construction process and the convenience of equipment operation and optimize it; finally, the first hoisting task is executed according to the optimal solution, with the help of real-time monitoring of the model, comparing the actual and optimal solution paths, making timely adjustments in case of abnormalities, and dynamically monitoring the status of the protective layer to ensure the safe, efficient and high-quality completion of the task and protect the protective layer of the hoisting object.

[0038] In one possible implementation, the hoisting object protection layer data is input as new data into the BIM construction simulation model to perform optimization among 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. 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 for interacting 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, and quality information of the hoisting object, as well as environmental data of the construction site, including spatial position and shape information of buildings, equipment, terrain, etc., and can also accept newly added hoisting object protection layer data. 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, materials knowledge, and engineering practice experience. For example, to evaluate protective layer loss data, parameters such as the wear coefficient and collision damage threshold of different materials are set. To evaluate protective capacity data, a stress transfer model based on finite element analysis is established to analyze the effect of the protective layer on the internal stress dispersion of the hoisted object when subjected to external forces. To evaluate protective layer deformation data, an elastic mechanics model is used to calculate the deformation patterns of protective layers of different materials and structures under load. In the result output layer, the format and type of the output data are defined to clearly present the protective layer loss data, protective capacity data, and protective layer deformation data.

[0039] Step S520, input the hoisting object protection layer data as new data into the BIM construction simulation model, evaluate the N hoisting paths respectively with the protection effect evaluation model, and output protection layer loss data, protection capacity data and protection layer deformation data. Specifically, after inputting the hoisting object protection layer data 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 interaction is performed with the BIM construction simulation model to obtain detailed movement information of the hoisting objects under each candidate path during the lifting 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 collision force, the wear coefficient of the protective layer material, and the collision area; for the protection capacity data, by analyzing the external forces acting on 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: Output the N protection effect indicators corresponding to the N lifting paths based on the protection layer loss data, protection capability data and protection layer deformation data. Specifically, based on the calculated protection layer loss data, protection capability 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 capability 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, based on the N protection effect indicators, select the optimal solution for the hoisting path, wherein the optimal solution for the hoisting path is the hoisting path with the largest protection effect indicator. Specifically, the hoisting path with the largest protection effect indicator is selected as the optimal solution for 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 possible unexpected situations at the construction site and evaluate the flexibility and adjustability of the path. After comprehensive analysis and verification, the optimal solution for the hoisting path is finally determined and applied to actual hoisting tasks 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, outputting N hoisting paths with stability that 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 following describes in detail the 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 a hoisting path for thermal power project construction in combination with BIM according to an embodiment of the present invention is described.

[0044] According to an embodiment of the present invention, a BIM-based hoisting path optimization device for thermal power project construction solves the technical problem of ignoring the protective layer of hoisted objects in existing hoisting path planning, achieving the technical effect of effectively considering the protective layer of hoisted objects in hoisting path planning and avoiding damage to the protective layer of hoisted objects during the hoisting process due to improper path planning. The BIM-based hoisting path optimization device for thermal power project construction 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 hoisting object data, perform path planning based on the hoisting object data in the BIM construction simulation model with the first hoisting task, and output N hoisting paths whose stability index is greater than a preset stability index.

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

[0049] The hoisting path optimal solution output module 50 is used to input the hoisting object protective layer data as new data into the BIM construction simulation model to perform optimal search among the N hoisting paths, output the hoisting path optimal solution, and execute the first hoisting task according to the hoisting 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, and the first hoisting task includes a task point. 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 obtain 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 index corresponding to each candidate hoisting path, wherein the hoisting object stability index 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 the 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 a hoisting object stability index corresponding to each candidate hoisting path is output, wherein the hoisting object stability index includes the center of gravity stability, tilt 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 obtain 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 degree of freedom nodes, the rotation radius load capacity and the lifting arm 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 optimal solution 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 optimal solution is output. The first lifting task is performed according to the lifting path optimal solution. The lifting path optimal solution 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 separately using the protection effect evaluation model to output protection layer loss data, protection capacity data and protection layer deformation data; a protection effect index output unit is used to output N protection effect indicators corresponding to the N lifting paths based on 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 based on the N protection effect indicators, wherein the lifting path optimal solution is the lifting path with the largest protection effect index.

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

[0057] Although the present application makes various references to certain modules in the apparatus 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 embodiments do not constitute a limitation to the scope of protection of this 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 replacements and improvements made within the spirit and principles of this application should be included in the scope of protection of this application. In some cases, the actions or steps recorded in this application can be performed in an order different from that in the embodiments and can still achieve the desired results. In addition, the processes depicted in the accompanying drawings do 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. The hoisting path optimization method for thermal power project construction combined with BIM is characterized by: The method comprises: Obtaining a BIM modeling dataset of a thermal power project, performing modeling based on the BIM modeling dataset, and outputting a BIM construction simulation model; receiving a first hoisting task, wherein the first hoisting task includes a task point; Identifying hoisting object data, performing path planning for the first hoisting task in the BIM construction simulation model based on the hoisting object data, and outputting N hoisting paths having stability indicators greater than a preset stability indicator; 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, wherein Based on the hoisted object data, path planning is performed in the BIM construction simulation model using the first hoisting task, and N hoisting paths having stability indicators greater than a preset stability indicator are output. The method includes: The stability index adopts the hoisting object stability index; generating 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 hoisted object data, a stability analysis is performed in the BIM construction simulation model to output a hoisted object stability index corresponding to each candidate hoisting path, wherein the hoisted object stability index includes the center of gravity stability, tilt angle, and sliding speed of the hoisted 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, wherein Performing stability analysis in the BIM construction simulation model, the method further comprising: Obtaining the hoisting equipment for the first hoisting task; Based on the hoisting equipment, a 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 force 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, wherein Inputting the hoisting object protective layer data as new data into the BIM construction simulation model to perform optimization among the N hoisting paths and output an optimal solution for the hoisting path, the method comprising: Constructing a protection effect evaluation model, wherein the protection effect evaluation model is connected to the BIM construction simulation model; Inputting the hoisted object protective layer data as new data into the BIM construction simulation model, evaluating the N hoisting paths respectively using the protection effect evaluation model, and outputting 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, protection capacity data and protection layer deformation data; An optimal solution for the hoisting path is selected according to the N protection effect indicators, wherein the optimal solution for the hoisting path is the hoisting path with the largest protection effect indicator.

5. The method according to claim 1, wherein After receiving the first hoisting 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, wherein Optimizing the hoisting path of the second hoisting task according to the optimal solution of the hoisting path corresponding to the first hoisting task, the method includes: Obtaining N lifting paths corresponding to the second lifting task; Performing coordination analysis on the N hoisting paths using 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, wherein Generating a path solution space based on the first lifting task, the method includes: Obtaining the hoisting equipment for the first hoisting task; Identifying control parameters of the lifting equipment, including the number of degrees of freedom nodes, rotation radius, load capacity, and boom length; Based on 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 for 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 is used to obtain a BIM modeling data set of a thermal power project, perform modeling based on 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 including a task point; a path planning module, the path planning module being configured to identify hoisting object data, perform path planning for the first hoisting task in the BIM construction simulation model based on the hoisting object data, and output N hoisting paths having stability indicators greater than a preset stability indicator; A hoisting object protection layer data acquisition module, wherein the hoisting object protection layer data acquisition module is used to acquire hoisting object protection layer data, wherein the hoisting object protection layer data is protection layer data for protecting the hoisting object; 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 among the N hoisting paths, output the hoisting path optimal solution, and execute the first hoisting task according to the hoisting path optimal solution.

Images