Purchase transportation decision-making method and system based on construction progress

Abstract

The invention relates to a purchase transportation decision-making method and system based on a construction progress, and the method comprises the steps: generating a BIM model component list needing to be purchased based on the construction progress of a WBS construction task, and driving an enterprise project structure to carry out the resource distribution, and obtaining an EPS business project to which each component in the list belongs; based on a WBS construction task, an EPS business project and a BIM construction space to which the component belongs, multiple constraints of purchase and transportation are constructed; on the basis of multiple constraints of purchase and transportation, a purchase and transportation optimization plan is obtained through a multi-objective optimization model, so that the storage cost consumed by purchase and transportation is minimized, and the transportation cost is minimized. According to the method and the device, a data chain of construction task-model component-resource scheduling is broken through by utilizing ternary mapping, and then a multi-constraint and optimization model is constructed, so that the storage cost and the transportation cost of purchase and transportation are effectively reduced, and the problem of how to improve the economic benefit of a purchase and transportation plan is solved.

Description

Technical Field

[0001] This application relates to the field of construction engineering technology, and in particular to a procurement and transportation decision-making method and system based on construction schedule. Background Technology

[0002] In traditional construction scenarios, construction progress data and procurement plan data are usually stored in different systems, lacking a unified data standard and interface. Generally, procurement plans need to be manually compiled based on construction progress data. However, construction progress may be frequently adjusted due to changes in site conditions (such as weather or work process conflicts), making it difficult for the two to be linked in real time. Procurement plans often lag behind construction progress updates, which can easily lead to stockpiling of procured goods or procurement plans failing to keep up with construction progress.

[0003] Currently, the automated coordination of construction progress and procurement planning typically involves establishing a "construction progress-inventory consumption" linkage model. Based on daily construction progress data (such as concrete pouring volume and masonry work volume), this model calculates the remaining material quantity and demand gap in real time, automatically triggering procurement alerts (e.g., sand and gravel inventory falling below three days' usage). It also generates procurement recommendations based on supplier fulfillment capabilities (logistics timeliness, historical delivery records) to achieve "on-demand procurement and zero inventory backlog." However, this on-demand procurement linkage method only considers inventory backlog and struggles to further optimize the economic efficiency of the procurement plan.

[0004] Currently, no effective solution has been proposed for the problem of how to improve the economic efficiency of procurement and transportation planning in related technologies. Summary of the Invention

[0005] This application provides a procurement and transportation decision-making method and system based on construction schedule, to at least address the problem of how to improve the economic efficiency of procurement and transportation plans in related technologies.

[0006] In a first aspect, embodiments of this application provide a procurement and transportation decision-making method based on construction schedule, the method comprising:

[0007] Based on the construction schedule of the WBS construction tasks, a list of BIM model components that need to be procured is generated, and the enterprise project structure is driven to allocate resources to obtain the EPS business projects to which each BIM model component in the list belongs.

[0008] Based on the WBS construction tasks, EPS business projects, and BIM construction space to which the BIM model components belong, multiple constraints on procurement and transportation are constructed.

[0009] Based on the multiple constraints of procurement and transportation, a procurement and transportation optimization plan is derived through a multi-objective optimization model, which minimizes the warehousing costs and transportation costs incurred in procurement and transportation.

[0010] In some embodiments, based on the WBS construction task, EPS business project, and BIM construction space to which the BIM model components belong, multiple constraints on procurement and transportation are constructed, including:

[0011] Based on the WBS construction tasks to which the BIM model components belong, procurement and transportation time constraints are constructed, wherein the procurement and transportation time constraints are used to ensure that the latest arrival time of the equipment is earlier than the start time of the equipment's construction task.

[0012] Based on the EPS business project to which the BIM model components belong, equipment transportation volume constraints are constructed. These constraints are used to ensure that the total volume of the equipment in each transportation batch from the warehouse to the installation site is less than the maximum cargo capacity of the transport vehicle.

[0013] Based on the BIM construction space to which the BIM model components belong, a spatial adjacency constraint is constructed. The spatial adjacency constraint is used to ensure that in each transportation batch of equipment from the warehouse to the installation site, the spatial adjacency between the construction spaces of the equipment is greater than a preset adjacency threshold.

[0014] Combining the procurement and transportation time constraints, the equipment transportation volume constraints, and the spatial adjacency constraints yields multiple procurement and transportation constraints.

[0015] In some embodiments, the procurement and transportation time constraints are constructed based on the WBS construction tasks to which the BIM model components belong, including:

[0016] Based on the equipment procurement and delivery time of BIM model components, the transportation time of the equipment from the warehouse to the installation site, and the storage time in the warehouse, the actual time from the start of equipment procurement to the installation site is calculated.

[0017] Based on the actual time from the start of equipment procurement to the installation site and the start time of the corresponding WBS construction task, procurement and transportation time constraints are constructed.

[0018] In some embodiments, the equipment transportation volume constraints are constructed based on the EPS business project to which the BIM model components belong, including:

[0019] Based on the maximum cargo capacity of the transport vehicles in each transport batch of the EPS business project to which the BIM model components belong, and the total equipment volume of the BIM model components, equipment transport volume constraints are constructed.

[0020] In some embodiments, spatial adjacency constraints are constructed based on the BIM construction space to which the BIM model components belong, including:

[0021] Based on the proximity between the BIM construction spaces to which the BIM model components belong, the spatial adjacency matrix between the construction spaces of all equipment in each transportation batch is calculated.

[0022] The spatial adjacency degree between the construction spaces of the equipment is calculated based on the spatial adjacency matrix to construct spatial adjacency degree constraints.

[0023] In some embodiments, based on the multiple constraints of procurement and transportation, a procurement and transportation optimization plan is derived through a multi-objective optimization model, which minimizes the warehousing costs and transportation costs incurred in procurement and transportation, including:

[0024] Based on the procurement and transportation time constraints, a first objective optimization function is constructed, wherein the first objective optimization function is used to minimize the deviation between the equipment procurement and delivery time and the construction task start time;

[0025] Based on the equipment transportation volume constraint and the spatial adjacency constraint, a second objective optimization function is constructed, wherein the second objective optimization function is used to minimize the total transportation distance of the equipment to the installation site;

[0026] Based on the first objective optimization function and the second objective optimization function, a multi-objective optimization model is constructed to determine the procurement and transportation optimization plan, so as to minimize the warehousing cost and transportation cost incurred in procurement and transportation.

[0027] In some embodiments, a multi-objective optimization model is constructed based on the first objective optimization function and the second objective optimization function to determine the procurement and transportation optimization plan, including:

[0028] A multi-objective optimization model is constructed by linearly combining the first objective optimization function and the second objective optimization function.

[0029] The procurement and transportation optimization plan is derived through the decision-making process of the multi-objective optimization model.

[0030] Secondly, embodiments of this application provide a procurement and transportation decision-making system based on construction progress. The system is used to execute the method described in the first aspect above. The system includes a ternary mapping module, a constraint construction module, and a target optimization module.

[0031] The three-element mapping module is used to generate a list of BIM model components that need to be purchased based on the construction progress of the WBS construction task, and drive the enterprise project structure to allocate resources to obtain the EPS business project to which each BIM model component in the list belongs.

[0032] The constraint construction module is used to construct multiple constraints for procurement and transportation based on the WBS construction task, EPS business project, and BIM construction space to which the BIM model components belong.

[0033] The objective optimization module is used to derive an optimized procurement and transportation plan based on the multiple constraints of procurement and transportation through a multi-objective optimization model, so as to minimize the warehousing costs and transportation costs incurred in procurement and transportation.

[0034] Thirdly, embodiments of this application provide an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method described in the first aspect above.

[0035] Fourthly, embodiments of this application provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect above.

[0036] Compared to related technologies, this application provides a procurement and transportation decision-making method and system based on construction schedule. The method generates a list of BIM model components to be procured based on the construction schedule of the WBS construction tasks, and drives the enterprise project structure to allocate resources, obtaining the EPS business projects to which each BIM model component belongs. Based on the WBS construction tasks, EPS business projects, and BIM construction space to which the BIM model components belong, multiple constraints on procurement and transportation are constructed. Based on these multiple constraints, a multi-objective optimization model is used to derive an optimized procurement and transportation plan, minimizing both warehousing and transportation costs. This achieves the integration of the data chain between construction tasks, model components, and resource scheduling using WBS, BIM, and EPS, thereby constructing multiple constraints and an optimization model to effectively reduce warehousing and transportation costs, and solving the problem of how to improve the economic efficiency of procurement and transportation plans. Attached Figure Description

[0037] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0038] Figure 1 This is a flowchart of the steps of a procurement and transportation decision-making method based on construction schedule according to an embodiment of this application;

[0039] Figure 2 This is a schematic diagram of the internal structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of this application clearer, the application is described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. All other embodiments obtained by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this application.

[0041] Obviously, the accompanying drawings described below are merely some examples or embodiments of this application. Those skilled in the art can apply this application to other similar scenarios based on these drawings without any inventive effort. Furthermore, it is understood that although the efforts made in this development process may be complex and lengthy, for those skilled in the art related to the content disclosed in this application, any changes to design, manufacturing, or production based on the technical content disclosed in this application are merely conventional technical means and should not be construed as insufficient disclosure of the content of this application.

[0042] In this application, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that is mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0043] Unless otherwise defined, the technical or scientific terms used in this application shall have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. The terms “a,” “an,” “an,” “the,” and similar words used in this application do not indicate quantity limitation and may indicate singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units not listed, or may include other steps or units inherent to these processes, methods, products, or devices. The terms “connected,” “linked,” “coupled,” and similar words used in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. “Multiple” used in this application refers to two or more. “And / or” describes the relationship between related objects, indicating that three relationships may exist; for example, “A and / or B” can represent: A alone, A and B simultaneously, and B alone. The character " / " generally indicates that the preceding and following objects are in an "or" relationship. The terms "first," "second," and "third" used in this application are merely to distinguish similar objects and do not represent a specific ordering of the objects.

[0044] This application provides a procurement and transportation decision-making method based on construction schedule. Figure 1 This is a flowchart illustrating the steps of a procurement and transportation decision-making method based on construction schedule according to an embodiment of this application, as follows: Figure 1 As shown, the method includes the following steps:

[0045] Step S102: Based on the construction progress of the WBS construction task, generate a list of BIM model components that need to be purchased, and drive the enterprise project structure to allocate resources to obtain the EPS business project to which each BIM model component in the list belongs.

[0046] Step S102 specifically involves implementing dynamic closed-loop management of the Work Breakdown Structure (WBS), Building Information Modeling (BIM), and Enterprise Project Structure (EPS) through a structured mapping table: The WBS task number (e.g., WBS task-001) triggers the automatic loading of the BIM component type (e.g., WCU-RAC-X), and component parameters drive EPS system resource allocation (e.g., refrigeration system → chilled water inter-row air conditioning components), thus establishing a data chain connecting "construction task → model positioning → resource scheduling." Table 1 is an example table of the ternary mapping relationship data chain according to an embodiment of this application.

[0047] Table 1

[0048]

[0049] It should be noted that BIM (Building Information Modeling) is an engineering data model based on three-dimensional digital technology, integrating information from the entire lifecycle of a construction project, from design and construction to operation and maintenance. It improves the efficiency and quality of the construction industry through parametric modeling, information integration, and collaborative work. WBS (Work Breakdown Structure) is used to break down complex project tasks into manageable work packages. EPS (Enterprise Project Structure) is a method of decomposing engineering projects according to an enterprise's organizational structure or business units, used for resource allocation, cost control, and cross-departmental collaboration.

[0050] Step S104: Based on the WBS construction task, EPS business project and BIM construction space to which the BIM model components belong, construct multiple constraints for procurement and transportation.

[0051] Step S104 specifically includes the following steps:

[0052] Step S1041: Based on the WBS construction task to which the BIM model component belongs, construct the procurement and transportation time constraint, wherein the procurement and transportation time constraint is used to ensure that the latest arrival time of the equipment is earlier than the start time of the equipment's construction task.

[0053] Specifically, step S1041 calculates the actual time from the start of procurement to the installation site based on the equipment procurement and delivery time of the BIM model components, the transportation time of the equipment from the warehouse to the installation site, and the storage time in the warehouse; and constructs procurement and transportation time constraints based on the actual time from the start of procurement to the installation site and the start time of the corresponding WBS construction task.

[0054] Step S1041 preferably involves calculating the actual time using the formula T. delivery =T buy +Δt1+Δt2, calculate the actual time from the start of equipment procurement to the installation site, where T delivery T represents the actual time from the initial procurement of the equipment to its installation at the site. buy Δt1 is the equipment procurement and delivery time, Δt2 is the equipment storage time in the warehouse, and Δt2 is the transportation time of the equipment from the warehouse to the installation site.

[0055] Then, based on the actual time T from the initial procurement of the equipment to its installation at the site... delivery and the start time T of the WBS construction task start Construct procurement and transportation time constraints Tdelivery ≤T start That is, the actual time from the start of procurement to the installation site must be earlier than or equal to the start time of the WBS construction task.

[0056] Step S1042: Based on the EPS business project to which the BIM model component belongs, construct the equipment transportation volume constraint. The equipment transportation volume constraint is used to ensure that the total volume of the equipment in each transportation batch from the warehouse to the installation site is less than the maximum cargo capacity of the transport vehicle.

[0057] Specifically, step S1042 involves constructing equipment transportation volume constraints based on the maximum cargo capacity of the transport vehicle in each transport batch of the EPS business project to which the BIM model component belongs, and the total equipment volume of the BIM model component.

[0058] Step S1042 preferably involves determining the maximum cargo capacity V of the transport vehicle in each transport batch based on the EPS business project to which the BIM model component belongs. max And the total volume of equipment components in the BIM model, to construct equipment transportation volume constraints. Among them, V (i,k) Let i represent the volume of equipment i in construction space k. As decision variables, This indicates that equipment i in construction space k is assigned to transportation batch b; otherwise...

[0059] Step S1043: Based on the BIM construction space to which the BIM model component belongs, construct spatial adjacency constraints. The spatial adjacency constraints are used to ensure that in each transportation batch of equipment from the warehouse to the installation site, the spatial adjacency between the construction spaces of the equipment is greater than the preset adjacency threshold.

[0060] Specifically, step S1043 involves calculating the spatial adjacency matrix between the construction spaces of all equipment in each transportation batch based on the proximity between the BIM construction spaces to which the BIM model components belong; and calculating the spatial adjacency degree between the construction spaces of the equipment based on the spatial adjacency matrix to construct spatial adjacency degree constraints.

[0061] Step S1043 preferably defines the spatial adjacency matrix between the construction spaces of all equipment in each transportation batch as a symmetric matrix, used to quantify the spatial proximity between various construction spaces (such as rooms) within the building. That is, the expression for the spatial adjacency matrix can be:

[0062]

[0063] Wherein, matrix element ρ cdρ represents the spatial adjacency between construction space c and construction space d, and its value ranges from [0,1]. cd =1 indicates the same construction space, ρ cd The closer a value is to 1, the closer the spatial proximity. Where λ is the distance attenuation coefficient (default is 0.05, 0.02 can be used for elevator buildings), D cd w represents the shortest path distance between construction space c and construction space d. cd Represents the weight of spatial connectivity relationships.

[0064] The spatial adjacency degree ρ between the construction spaces of the equipment is calculated based on the spatial adjacency matrix. cd To construct spatial adjacency constraints in, ρ represents the spatial adjacency between construction spaces c and d involved in transportation batch b. min This indicates the preset adjacency threshold.

[0065] Step S1044: Combine the procurement and transportation time constraints, equipment transportation volume constraints, and spatial adjacency constraints to obtain multiple procurement and transportation constraints.

[0066] Step S106: Based on the multiple constraints of procurement and transportation, a procurement and transportation optimization plan is derived through a multi-objective optimization model to minimize the warehousing costs and transportation costs incurred in procurement and transportation.

[0067] Step S106 specifically includes the following steps:

[0068] Step S1061: Based on the procurement and transportation time constraints, construct a first objective optimization function, wherein the first objective optimization function is used to minimize the deviation between the equipment procurement and delivery time and the construction task start time;

[0069] Step S1061 preferably involves the procurement and transportation time constraint T. delivery ≤T start Based on this, the first objective optimization function min(|T) is constructed. buy -T start As can be seen, the first objective function is essentially min(|T). delivery -Δt1-Δt2)-T start In other words, the goal of the first objective optimization function is to make the storage time Δt1 of the equipment in the warehouse and the transportation time Δt2 of the equipment from the warehouse to the installation site as close to zero as possible, that is, to reduce the warehousing and transportation costs incurred in the procurement and transportation process of the equipment.

[0070] Step S1062: Based on the equipment transportation volume constraint and spatial adjacency constraint, construct a second objective optimization function, wherein the second objective optimization function is used to minimize the total transportation distance of the equipment to the installation site;

[0071] Step S1062 preferably involves constraints on equipment transport volume. Spatial adjacency constraints Based on this, construct a second objective function. The Dis() function calculates the total transportation distance of transportation batch b based on the constraints. It can be seen that the goal of the second objective optimization function is to minimize the total transportation distance of the equipment to the installation site, so as to reduce the transportation costs incurred in the procurement and transportation process.

[0072] Step S1063: Based on the first objective optimization function and the second objective optimization function, construct a multi-objective optimization model to make a decision on the procurement and transportation optimization plan, so as to minimize the warehousing cost and transportation cost incurred in procurement and transportation.

[0073] Step S1063 preferably involves optimizing the first objective function min(|T) buy -T start |) and the second objective function By performing linear combinations, a multi-objective optimization model is constructed. Here, α and β are weighting coefficients; then, the procurement and transportation optimization plan is derived through a multi-objective optimization model.

[0074] Through the steps described in this application embodiment, the data chain of construction tasks, model components, and resource scheduling is realized by using WBS, BIM, and EPS to build a multi-constraint and multi-objective optimization model, thereby effectively reducing the warehousing and transportation costs of procurement and transportation, and solving the problem of how to improve the economic efficiency of procurement and transportation plans.

[0075] It should be noted that the steps shown in the above process or in the flowchart of the accompanying figures can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0076] This application provides a procurement and transportation decision-making system based on construction schedule. The system includes a ternary mapping module, a constraint construction module, and a target optimization module.

[0077] The three-element mapping module is used to generate a list of BIM model components that need to be procured based on the construction progress of the WBS construction tasks, and drive the enterprise project structure to allocate resources to obtain the EPS business projects to which each BIM model component in the list belongs.

[0078] The constraint building module is used to build multiple constraints for procurement and transportation based on the WBS construction tasks, EPS business projects, and BIM construction space to which the BIM model components belong.

[0079] The objective optimization module is used to derive an optimized procurement and transportation plan based on multiple constraints of procurement and transportation through a multi-objective optimization model, so as to minimize the warehousing costs and transportation costs incurred in procurement and transportation.

[0080] Through the ternary mapping module, constraint construction module, and objective optimization module in this application embodiment, the data chain of construction tasks, model components, and resource scheduling is realized by using WBS, BIM, and EPS to build a multi-constraint and multi-objective optimization model, so as to effectively reduce the warehousing and transportation costs of procurement and transportation, and solve the problem of how to improve the economic efficiency of procurement and transportation plans.

[0081] It should be noted that the above modules can be functional modules or program modules, and can be implemented through software or hardware. For modules implemented through hardware, the above modules can reside in the same processor; or the above modules can be located in different processors in any combination.

[0082] This embodiment provides an electronic device including a memory and a processor. The memory stores a computer program, and the processor is configured to run the computer program to perform the steps in any of the above method embodiments.

[0083] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor and the input / output device is connected to the processor.

[0084] Optionally, the electronic device may further include a processor, memory, network interface, display screen, and input device connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface is used to communicate with external terminals via a network connection. When the computer program is executed by the processor, it implements a procurement and transportation decision-making method based on construction schedule. The display screen may be an LCD screen or an e-ink screen. The input device may be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the device casing, or an external keyboard, touchpad, or mouse.

[0085] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated here.

[0086] Furthermore, in conjunction with the procurement and transportation decision-making method based on construction progress in the above embodiments, this application embodiment can provide a storage medium for implementation. This storage medium stores a computer program; when executed by a processor, the computer program implements any of the procurement and transportation decision-making methods based on construction progress in the above embodiments.

[0087] In one embodiment, Figure 2 This is a schematic diagram of the internal structure of an electronic device according to an embodiment of this application, such as... Figure 2 As shown, an electronic device is provided, which can be a server, and its internal structure diagram can be as follows. Figure 2 As shown, the electronic device includes a processor, a network interface, internal memory, and non-volatile memory connected via an internal bus. The non-volatile memory stores an operating system, computer programs, and a database. The processor provides computing and control capabilities, the network interface communicates with external terminals via a network, the internal memory provides an environment for the operating system and computer programs to run, the computer programs are executed by the processor to implement a procurement and transportation decision-making method based on construction schedule, and the database stores data.

[0088] Those skilled in the art will understand that Figure 2 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the electronic device to which the present application is applied. A specific electronic device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0089] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0090] Those skilled in the art should understand that the technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments have been described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0091] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A procurement and transportation decision-making method based on construction schedule, characterized in that, The method includes: Based on the construction schedule of the WBS construction tasks, a list of BIM model components that need to be procured is generated, and the enterprise project structure is driven to allocate resources to obtain the EPS business projects to which each BIM model component in the list belongs. Based on the WBS construction tasks, EPS business projects, and BIM construction space to which the BIM model components belong, multiple constraints on procurement and transportation are constructed. Based on the multiple constraints of procurement and transportation, a procurement and transportation optimization plan is derived through a multi-objective optimization model, which minimizes the warehousing costs and transportation costs incurred in procurement and transportation.

2. The method according to claim 1, characterized in that, Based on the WBS construction tasks, EPS business projects, and BIM construction space to which the BIM model components belong, multiple constraints on procurement and transportation are constructed, including: Based on the WBS construction tasks to which the BIM model components belong, procurement and transportation time constraints are constructed, wherein the procurement and transportation time constraints are used to ensure that the latest arrival time of the equipment is earlier than the start time of the equipment's construction task. Based on the EPS business project to which the BIM model components belong, equipment transportation volume constraints are constructed. These constraints are used to ensure that the total volume of the equipment in each transportation batch from the warehouse to the installation site is less than the maximum cargo capacity of the transport vehicle. Based on the BIM construction space to which the BIM model components belong, a spatial adjacency constraint is constructed. The spatial adjacency constraint is used to ensure that in each transportation batch of equipment from the warehouse to the installation site, the spatial adjacency between the construction spaces of the equipment is greater than a preset adjacency threshold. Combining the procurement and transportation time constraints, the equipment transportation volume constraints, and the spatial adjacency constraints yields multiple procurement and transportation constraints.

3. The method according to claim 2, characterized in that, Based on the WBS construction tasks to which the BIM model components belong, the procurement and transportation time constraints are constructed as follows: Based on the equipment procurement and delivery time of BIM model components, the transportation time of the equipment from the warehouse to the installation site, and the storage time in the warehouse, the actual time from the start of equipment procurement to the installation site is calculated. Based on the actual time from the start of equipment procurement to the installation site and the start time of the corresponding WBS construction task, procurement and transportation time constraints are constructed.

4. The method according to claim 2, characterized in that, Based on the EPS business project to which the BIM model components belong, the equipment transportation volume constraints are constructed as follows: Based on the maximum cargo capacity of the transport vehicles in each transport batch of the EPS business project to which the BIM model components belong, and the total equipment volume of the BIM model components, equipment transport volume constraints are constructed.

5. The method according to claim 2, characterized in that, Based on the BIM construction space to which the BIM model components belong, spatial adjacency constraints are constructed, including: Based on the proximity between the BIM construction spaces to which the BIM model components belong, the spatial adjacency matrix between the construction spaces of all equipment in each transportation batch is calculated. The spatial adjacency degree between the construction spaces of the equipment is calculated based on the spatial adjacency matrix to construct spatial adjacency degree constraints.

6. The method according to claim 2, characterized in that, Based on the aforementioned multiple constraints on procurement and transportation, a multi-objective optimization model is used to derive an optimized procurement and transportation plan that minimizes both warehousing and transportation costs. Based on the procurement and transportation time constraints, a first objective optimization function is constructed, wherein the first objective optimization function is used to minimize the deviation between the equipment procurement and delivery time and the construction task start time; Based on the equipment transportation volume constraint and the spatial adjacency constraint, a second objective optimization function is constructed, wherein the second objective optimization function is used to minimize the total transportation distance of the equipment to the installation site; Based on the first objective optimization function and the second objective optimization function, a multi-objective optimization model is constructed to determine the procurement and transportation optimization plan, so as to minimize the warehousing cost and transportation cost incurred in procurement and transportation.

7. The method according to claim 6, characterized in that, Based on the first objective optimization function and the second objective optimization function, a multi-objective optimization model is constructed to derive a procurement and transportation optimization plan, including: A multi-objective optimization model is constructed by linearly combining the first objective optimization function and the second objective optimization function. The procurement and transportation optimization plan is derived through the decision-making process of the multi-objective optimization model.

8. A procurement and transportation decision-making system based on construction schedule, characterized in that, The system is used to perform the method according to any one of claims 1 to 7, and the system includes a ternary mapping module, a constraint construction module, and a target optimization module; The three-element mapping module is used to generate a list of BIM model components that need to be purchased based on the construction progress of the WBS construction task, and drive the enterprise project structure to allocate resources to obtain the EPS business project to which each BIM model component in the list belongs. The constraint construction module is used to construct multiple constraints for procurement and transportation based on the WBS construction task, EPS business project, and BIM construction space to which the BIM model components belong. The objective optimization module is used to derive an optimized procurement and transportation plan based on the multiple constraints of procurement and transportation through a multi-objective optimization model, so as to minimize the warehousing costs and transportation costs incurred in procurement and transportation.

9. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to run the computer program to perform the method of any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1 to 7.

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