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CN-121998211-A - BIM-based fire-fighting pipeline prefabrication whole-flow optimization method and system

CN121998211ACN 121998211 ACN121998211 ACN 121998211ACN-121998211-A

Abstract

The invention provides a fire-fighting pipeline prefabrication whole-flow optimization method and a fire-fighting pipeline prefabrication whole-flow optimization system based on BIM, which are applied to the crossing field of process control and intelligent construction in the building industry, wherein the method and the device comprise the following steps: the method comprises the steps of integrating BIM design change data through a real-time synchronization mechanism, generating a unified change set, analyzing change amplitude through a decision tree algorithm to dynamically adjust processing parameters to form an optimized instruction set, dynamically distributing material inventory through combination of linear programming, fusing real-time logistics data, generating a high-efficiency distribution plan through a path optimization algorithm, and realizing material waste recalculation and resource recycling instruction optimization through comparison of field feedback data and a material distribution scheme.

Inventors

  • HUANG HUAQIANG
  • LAI QICHENG
  • HE JIAYAN
  • CHEN ZHIHE

Assignees

  • 广东华棋消防工程有限公司

Dates

Publication Date
20260508
Application Date
20251218

Claims (10)

  1. 1. The full-flow optimization method for prefabrication of the fire-fighting pipeline based on BIM is characterized by comprising the following steps of: acquiring update data from the BIM design change records through a computer, and processing the update data from different sources through a real-time synchronization mechanism to obtain a unified change data set; analyzing design change by utilizing a decision tree algorithm according to the unified change data set, and adjusting processing parameters of processing equipment to obtain an optimized processing instruction set when the amplitude of the design change exceeds a first preset threshold value; analyzing a material demand list according to the optimized processing instruction set, and distributing the material inventory by utilizing a linear programming algorithm based on the material demand list to obtain a dynamic material distribution scheme; According to the dynamic material distribution scheme, real-time logistics data are acquired, and a transportation route is calculated or recalculated by using a path optimization algorithm based on the real-time logistics data so as to obtain an efficient logistics distribution plan; And acquiring feedback data of field installation, comparing the feedback data of field installation with the dynamic material distribution scheme by using a data comparison method, and when the feedback data of field installation is not matched with the dynamic material distribution scheme, recalculating the material wave rate to obtain an optimized resource recycling instruction.
  2. 2. The method of claim 1, wherein the processing the update data of different sources via a real-time synchronization mechanism comprises: transmitting the update data from different sources to a unified message channel through a distributed message queue; when a conflict is detected between the update data, the update data with the latest timestamp is selected and synchronized by comparing the timestamps of the update data.
  3. 3. The method of claim 1, wherein analyzing the design change further comprises: extracting a set of technical features associated with the design change from the unified change dataset, the set of technical features including geometric features, material features, and three-dimensional topological connection relationship features; The set of technical features is input to a pre-trained machine learning model to output a risk value indicative of a probability of physical process failure.
  4. 4. A method according to claim 3, wherein the step of adjusting the process parameters of the process equipment comprises: and when the risk value exceeds a second preset threshold value, generating a composite control instruction as the optimized processing instruction set, wherein the composite control instruction comprises a machine operation parameter for controlling the processing equipment and an enhanced physical quality detection instruction for being transmitted to a quality inspection station.
  5. 5. The method of claim 1, wherein the allocating the stock of material using a linear programming algorithm comprises: Constructing a linear programming model taking the minimum inventory shortage cost as an objective function and taking the inventory quantity of the material inventory as a constraint condition; and solving the linear programming model to obtain a distribution result.
  6. 6. The method according to claim 1, wherein the method further comprises: integrating flow data according to the efficient logistics distribution plan, and evaluating the overall progress of the project by using a time sequence prediction model to obtain a potential delay quantization index; When the quantification index of the potential delay exceeds a preset warning line, triggering an automatic notification mechanism and updating a flow optimization strategy to obtain a corrected full flow schedule.
  7. 7. The method of claim 1, wherein the acquiring the feedback data of the field installation comprises acquiring physical point cloud data of the field completion through a three-dimensional scanning device deployed at a construction site, and taking the physical point cloud data as the feedback data of the field installation; The data comparison method comprises the following steps: Carrying out three-dimensional space registration on the physical point cloud data and a design model derived from the BIM design change record under a unified coordinate system; And identifying the physical components which are not installed or installed in a dislocation way by calculating the space distance between the physical point cloud data and the model surface of the design model so as to quantify the material wave rate.
  8. 8. The method of claim 1, wherein after the optimized resource reclamation instruction, further comprising: And backtracking a full life cycle data chain of a component associated with the material waste rate according to the material waste rate, and positioning a technical root causing waste by utilizing a causal rule base.
  9. 9. The method according to claim 1, wherein the method further comprises: And integrating the real-time data of each link according to the optimized resource recycling instruction, and judging whether the real-time data of each link needs to be further synchronized or not to obtain a flow closed-loop data set.
  10. 10. Fire control pipeline prefabrication full flow optimizing system based on BIM, characterized by comprising: The data processing unit is used for acquiring update data from the BIM design change record through a computer, and processing the update data from different sources through a real-time synchronization mechanism to obtain a unified change data set; The processing instruction generating unit is used for analyzing design change by utilizing a decision tree algorithm according to the unified change data set, and adjusting processing parameters of processing equipment to obtain an optimized processing instruction set when the amplitude of the design change exceeds a first preset threshold value; the material scheduling unit is used for analyzing a material demand list according to the optimized processing instruction set, and distributing the material inventory by utilizing a linear programming algorithm based on the material demand list to obtain a dynamic material distribution scheme; The logistics planning unit is used for acquiring real-time logistics data according to the dynamic material distribution scheme, and calculating or recalculating a transportation route by using a path optimization algorithm based on the real-time logistics data to obtain an efficient logistics distribution plan; And the feedback analysis unit is used for acquiring feedback data of the field installation, comparing the feedback data of the field installation with the dynamic material distribution scheme by utilizing a data comparison method, and when the feedback data of the field installation is not matched with the dynamic material distribution scheme, recalculating the material wave rate to obtain an optimized resource recycling instruction.

Description

BIM-based fire-fighting pipeline prefabrication whole-flow optimization method and system Technical Field The invention relates to the crossing field of process control and intelligent construction in the building industry, in particular to a fire-fighting pipeline prefabrication whole-flow optimization method and system based on BIM. Background In the field of constructional engineering, prefabrication and installation of a fire-fighting pipeline system are links for guaranteeing fire safety of a building. Along with popularization of an industrialized construction mode, a building information model technology is widely applied to design and construction stages so as to realize three-dimensional visualization and collision detection. However, the application of existing BIM techniques is limited to static modeling and staged simulation, failing to effectively support full-flow dynamic collaboration from design to process, logistics and field installation. When the design is changed, related information is usually transmitted manually, so that information is delayed, distorted or omitted, and further prefabricated components are produced according to wrong drawings, so that material waste and construction period delay are caused. The material management depends on an initial bill of materials, lacks a linkage mechanism with real-time processing requirements and inventory states, and is difficult to realize dynamic optimal configuration of resources. The logistics distribution planning does not fully consider the real-time traffic condition and the actual receiving capability of the construction site, and the problems of difficult waiting or unloading of the transport vehicle and the like easily occur. In addition, the lack of accurate data comparison between the field installation result and the design model is a segment, and the deviation cannot be systematically identified and the technological root cannot be traced back. The problems commonly cause serious information island among business links, the whole flow lacks closed loop feedback and self-adaptive adjustment capability, and the quality stability, the resource utilization efficiency and the project delivery predictability of the fire control pipeline prefabrication project are seriously affected. It should be noted that the information disclosed in the foregoing background section is only for enhancement of understanding of the background of the invention and thus may include information that does not form the prior art that is already known to those of ordinary skill in the art. Disclosure of Invention In view of the above, the invention provides a fire-fighting pipeline prefabrication whole-flow optimization method and system based on BIM, which aim to solve the problems of resource mismatching and flow breakage caused by physical processing rework and material waste caused by design change information transfer delay and multi-source data island and lack of dynamic synergy in material, logistics and site construction links in the prior art, and by constructing a unified data base fusing BIM model, internet of things data and enterprise business systems, combining with machine learning-driven risk prediction, linear programming-supported dynamic material distribution, path optimization algorithm-guided intelligent logistics scheduling and virtual-real comparison-based closed loop feedback mechanism, the whole-flow real-time response from design change to site installation, resource global optimization and system self-adaptive evolution are realized, the rework rate and project cost are effectively reduced, and the overall collaborative efficiency and delivery certainty of fire-fighting pipeline prefabrication engineering are improved. The embodiment of the invention provides a fire-fighting pipeline prefabrication whole-flow optimization method based on BIM, which comprises the following steps: Acquiring update data from the BIM design change record through a computer, and processing the update data from different sources through a real-time synchronization mechanism to obtain a unified change data set; analyzing design change by utilizing a decision tree algorithm according to the unified change data set, and adjusting processing parameters of processing equipment to obtain an optimized processing instruction set when the amplitude of the design change exceeds a first preset threshold; Analyzing a material demand list according to the optimized processing instruction set, and distributing the material inventory by utilizing a linear programming algorithm based on the material demand list to obtain a dynamic material distribution scheme; According to a dynamic material distribution scheme, real-time logistics data are acquired, and a transportation route is calculated or recalculated by using a path optimization algorithm based on the real-time logistics data so as to obtain an efficient logistics distribution plan; And acquiring feedback data of