A method and system for coordinating the supply and demand of building materials based on urban information models

Abstract

This invention discloses a method and system for coordinating the supply and demand of building materials based on a city information model (CIM), relating to the field of building information technology. The method includes forming a material supply and demand coordination model based on city information model data and material supply data resources of a target building project, linking the material demand, supply capacity, and supply and demand constraints of building components within the same project object; adapting and representing the material supply and demand coordination model based on an artificial intelligence-based material supply and demand coordination structure to form a material supply and demand adaptation state; and outputting the material supply and demand coordination result associated with the city information model data based on the material supply and demand adaptation state and the associated material supply object or supply and demand gap object. The method of this invention achieves intelligent collaborative adaptation of CIM component demand, material supply, and supply and demand constraints, improving the continuity and traceability of material recommendation, gap response, and operation and maintenance replacement.

Description

Technical Field

[0001] This invention relates to the field of building information technology, specifically to a method and system for coordinating the supply and demand of building materials based on urban information models. Background Technology

[0002] With the development of building information technology (BIM), Building Information Modeling (BIM) and City Information Modeling (CIM) have gradually become important data foundations for the digital management of building projects. As building projects shift from traditional drawing delivery to model-based, object-oriented, and platform-based management, the component information, engineering attributes, and material requirements carried in the design deliverables can be incorporated into the project management process in a structured manner. The building materials supply chain is also gradually shifting from offline price inquiries and manual comparisons to online resource management. Material suppliers can maintain material resources and supply capacity through platforms, while procurement can search for and select materials based on project needs. The application of artificial intelligence technology in the construction field further promotes the correlation between model data, material data, and supply data. Technologies such as semantic recognition, knowledge matching, and intelligent recommendation are beginning to be used to assist in understanding the needs of building components and the conditions of material supply. The development trend of related technologies is to integrate project needs in the building model with the supply capacity in the material supply chain into a unified data environment, creating a more continuous data flow foundation between architectural design, material procurement, and subsequent operation and maintenance.

[0003] There remains a significant information gap between existing building information modeling (BIM) platforms and material supply platforms. Building models are primarily used for display, quantity calculation, and collaborative management in practice. The component requirements related to material procurement in these models are difficult to directly translate into recognizable supply and demand matching objects for the supply platform. Material procurement still requires manual analysis of the model content and offline comparison. While material supply platforms can aggregate supply resources, material information is typically presented as product catalogs or supplier entries, lacking a stable connection with specific building components, project objects, and performance constraints. Changes in supply status can easily lead to inconsistencies between recommended results and actual supply capacity. Existing intelligent recommendation methods rely heavily on keyword matching or simple sorting, failing to adequately express the comprehensive relationship between material demand, supply capacity, and project constraints, often resulting in situations where materials are similar in form but unavailable for the project. When material supply is insufficient or specifications do not match, the platform typically only indicates no matching results, failing to provide further support for responses from the design and supply sides. After a building enters the operation and maintenance phase, on-site material replacement needs often become disconnected from the original model data. Material traceability and replacement matching still rely on manual experience, affecting the continuous utilization of material data throughout the building's lifecycle. Summary of the Invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Existing methods for coordinating the supply and demand of building materials suffer from several problems. It is difficult to correlate the material demand, supply capacity, and supply and demand constraints of building components under the same project object. This results in low accuracy of material supply and demand matching, untimely feedback on supply gaps, and a lack of continuous coordination between material procurement, supply and demand response, and operation and maintenance replacement.

[0006] To address the aforementioned technical problems, this invention provides the following technical solution: a method for coordinating the supply and demand of building materials based on an urban information model, comprising: forming material demand objects based on urban information model data of a target building project; forming material resource objects based on material supply data resources; configuring the material demand objects, material resource objects, and performance constraints corresponding to the target building project under the same project object to form a material supply and demand coordination model; performing adaptation representation on the material demand objects and material resource objects in the material supply and demand coordination model based on an artificial intelligence material supply and demand coordination structure to form a material supply and demand adaptation state; when the material supply and demand adaptation state is a satisfyable state, associating the material supply object... The material supply objects, corresponding material demand objects, and performance constraints are configured as project-level material adaptation tasks. Material adaptation results are generated based on these tasks, and the results are written back to the corresponding building components in the urban information model data. When the material supply and demand adaptation status is a supply gap status, supply and demand gap objects are associated, and these objects are configured as supply and demand response tasks. These tasks are associated with both design-side demand adjustment items and supply-side supply response items, and supply and demand response results are generated based on these tasks. Material supply and demand coordination results are generated based on the material adaptation results or supply and demand response results and are associated with the urban information model data.

[0007] As a preferred embodiment of the building material supply and demand coordination method based on urban information model as described in this invention, the material demand object includes component-level material demand units. In the material supply and demand coordination model, the model attributes and material requirements corresponding to the same building component in the urban information model data are configured as component-level material demand units. When the same building component corresponds to multiple material demands, the component-level material demand units form corresponding material demand sub-units according to the usage location of the building component, and the material demand sub-units are associated with the model location of the corresponding building component in the urban information model data. The material supply and demand adaptation state is formed based on the material demand sub-units, so that the material supply and demand coordination result can be located to the corresponding usage location of the building component.

[0008] As a preferred embodiment of the building material supply and demand coordination method based on urban information model described in this invention, the material resource object includes standardized material resource items. In the material supply and demand coordination model, material supply data resources are configured as standardized material resource items, and the standardized material resource items are bound to the supply capacity status and performance status of the corresponding supply side. When the supply capacity status or performance status of the standardized material resource item changes, the material supply and demand coordination model updates the corresponding standardized material resource item to a resource that can participate in adaptation or restricts its participation in adaptation. The material supply and demand adaptation status is formed based on the updated standardized material resource items, so that the material supply and demand coordination result is consistent with the current effective material supply capacity.

[0009] As a preferred embodiment of the building material supply and demand coordination method based on urban information model described in this invention, the artificial intelligence material supply and demand coordination structure establishes a typified adaptation relationship between the material demand sub-unit and the standardized material resource item; when the material demand sub-unit corresponds to a general supply material, the typified adaptation relationship determines the adaptation priority relationship of the material supply object based on supply cost and performance status; when the material demand sub-unit corresponds to a customized supply material, the typified adaptation relationship determines the adaptation priority relationship of the material supply object based on the semantic consistency between material requirements and supply capacity; the material supply and demand adaptation state is formed based on the adaptation priority relationship, and is determined to be either a satisfyable state or a supply gap state based on whether the adaptation priority relationship meets performance constraints.

[0010] As a preferred embodiment of the building material supply and demand coordination method based on urban information model described in this invention, wherein: when the material supply and demand matching status is associated with the material supply object, the material supply object, the corresponding component-level material demand unit, and the corresponding performance constraint are configured as a project-level material matching task; the material supply and demand coordination result is based on the project-level material matching task to form a material matching result, which is written back to the material demand position of the corresponding building component in the urban information model data, and is associated with the order status, progress status, or contract status in the procurement and transaction process; when the standardized material resource item corresponding to the material supply object in the project-level material matching task is updated to a restricted resource for matching, the material supply and demand coordination model triggers the reconfirmation or rematch of the corresponding material matching result.

[0011] As a preferred embodiment of the building material supply and demand coordination method based on urban information model described in this invention, the supply and demand response task includes: gap source information, design-side demand adjustment matters, and supply-side supply response matters; the gap source information includes at least one of material specification mismatch, material performance not meeting requirements, insufficient supply capacity, limited performance status, or supply cost not meeting project conditions; the design-side demand adjustment matters are associated with the boundaries of replaceable materials for corresponding building components, and are based on candidate alternative material resource formation cost change information or construction cycle impact information; the supply-side supply response matters are associated with suppliers with similar supply capacity, so that the supply and demand response results simultaneously form a basis for material adjustment for the design side and a basis for material allocation, customized supply, or supply capacity supplementation for the supply side.

[0012] As a preferred embodiment of the building material supply and demand coordination method based on urban information model described in this invention, the method further includes: establishing a component-level difference association between the on-site measured model data formed during the operation and maintenance phase of the target building project and the urban information model data; forming an operation and maintenance material demand unit based on the component-level difference association; after the operation and maintenance material demand unit is connected to the material supply and demand coordination model, it forms an operation and maintenance adaptation relationship with standardized material resource items; when the operation and maintenance adaptation relationship meets the current supply capacity status and performance status, the material supply and demand coordination result forms a material replacement adaptation result based on the operation and maintenance adaptation relationship, and associates the material replacement adaptation result with the corresponding building component in the urban information model data; when the operation and maintenance adaptation relationship does not meet the current supply capacity status or performance status, the operation and maintenance material demand unit is configured as a supply and demand gap object, and a supply and demand response result oriented towards the design side or the supply side is formed.

[0013] Another objective of this invention is to provide a building material supply and demand coordination system based on a city information model. This system can coordinate the material requirements, supply capacity, and supply and demand constraints of building components under the same project object through the collaborative operation of a collaborative modeling module, an intelligent adaptation module, and a collaborative result module. Based on the material supply and demand adaptation status, it outputs material supply and demand coordination results associated with the city information model data, thereby solving the problems of insufficient correlation between model-side material demand and supply-side material capacity, and difficulty in forming a coordinated response to supply gaps in current building material supply and demand coordination technologies.

[0014] As a preferred embodiment of the building material supply and demand coordination system based on urban information model as described in this invention, it includes: a collaborative modeling module, an intelligent adaptation module, and a collaborative result module; the collaborative modeling module is used to form a material supply and demand coordination model based on urban information model data and material supply data resources of the target building project, and configure component-level material demand units, material demand sub-units, standardized material resource items, and operation and maintenance material demand units in the material supply and demand coordination model; the intelligent adaptation module is used to adapt and characterize the material supply and demand coordination model based on the artificial intelligence material supply and demand coordination structure, and establish a typified adaptation relationship or operation and maintenance adaptation relationship between the material demand sub-unit or operation and maintenance material demand unit and the standardized material resource item, forming a material supply and demand adaptation state; the collaborative result module is used to output material supply and demand coordination results according to the material supply object or supply and demand gap object associated with the material supply and demand adaptation state, forming a material adaptation result, supply and demand response result, or material replacement adaptation result.

[0015] Another object of the present invention is to provide a building material supply and demand coordination device based on a city information model, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement a building material supply and demand coordination method based on a city information model.

[0016] Another object of the present invention is to provide a building material supply and demand coordination storage medium based on a city information model, wherein a computer program is stored thereon, and when the computer program is executed by a processor, the steps of the building material supply and demand coordination method based on a city information model are implemented.

[0017] The beneficial effects of this invention are as follows: The building material supply and demand coordination method based on urban information model provided by this invention links the urban information model data of the target building project with the material supply data resources in the same material supply and demand coordination model, enabling the material demand, material supply capacity, and supply and demand constraints of building components to be collaboratively expressed around the same project object; through the artificial intelligence material supply and demand coordination structure, a material supply and demand adaptation state is formed, enabling the material supply object to be associated in the material availability scenario and the supply and demand gap object to be associated in the material supply gap scenario; by outputting the material supply and demand coordination results based on the material supply and demand adaptation state, the material adaptation results, supply and demand response results, and material replacement adaptation results in the operation and maintenance stage can maintain correspondence with the urban information model data; this invention achieves better results in terms of the accuracy of the association between building component material demand and supply resources, the traceability of material supply and demand adaptation results, the ability to transform supply gaps into collaborative responses from the design and supply sides, and the continuous adaptation capability of material replacement demand in the operation and maintenance stage. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 The present invention provides an overall flowchart of a method for coordinating the supply and demand of building materials based on a city information model.

[0020] Figure 2 This is a schematic diagram of the core processing of a building material supply and demand coordination method based on urban information model provided by the present invention.

[0021] Figure 3 This is an overall timeline diagram of a building material supply and demand coordination method based on a city information model provided by the present invention. Detailed Implementation

[0022] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0023] In the following embodiments, the target building project refers to a specific engineering project created by the construction unit in the construction industry internet platform and jointly participated in by the design unit, supplier, and construction unit.

[0024] The target building project has project code, project area, participant permissions, city information model data, engineering element data, material resource data, procurement transaction records and operation and maintenance material records in the platform.

[0025] "City Information Modeling (CIM) data" refers to the model data of the target building project carried by the CIM platform. Specifically, it includes the BIM model imported by the design unit, the total construction area, the total building height, the structural type, the model location, component size, material requirements, performance standards and construction details of building components such as floor slabs, walls, beams and columns, exterior wall panels, floor tiles, insulation materials, and pipeline fittings. The material-related content in the city information model data is extracted by the platform and then entered into the engineering element database or engineering element data pool.

[0026] "Material supply data resources" refers to the material resource data uploaded and maintained by suppliers on the construction industry internet platform. Specifically, it includes supplier qualifications, material name, model specifications, physical performance parameters, place of origin, price, freight standards, available supply areas, production cycle, supply status, performance status, and historical version information. The above data is entered into the material library after being verified by standardized templates and classified by attributes.

[0027] "Materials Supply and Demand Collaboration Model 100" refers to a project-level materials supply and demand data model built on the CIM platform. This model binds the building component material requirements in the engineering element database, the material supply capacity in the material library, and supply and demand constraints such as supply area, production cycle, material price, freight, and delivery node to the same target building project, enabling design data, supply data, procurement data, and operation and maintenance data to flow around the same project object.

[0028] "Material requirements for building components" refers to component-level requirements extracted from urban information model data. It is not just about material names, but also includes the component model location, component size, structural layers, material requirements, performance standards, and construction details.

[0029] "Materials supply capacity" refers to the supplier's ability to provide materials resources under the current project conditions, including whether the materials themselves meet the requirements and whether the supply side has the basis for supply, delivery and performance.

[0030] "Supply and demand constraints" refer to the project conditions that materials must meet when entering a target construction project. These conditions can be manifested as supply costs, freight, delivery time, supply area, construction milestones, material performance boundaries, or design substitution boundaries.

[0031] "Artificial Intelligence Material Supply and Demand Collaboration Structure 200" refers to the processing structure in the platform that intelligently adapts to the material supply and demand collaboration model 100. Specifically, it can be composed of a large language model, material type identification rules, path cost calculation rules, parameter semantic matching rules, performance status judgment rules, and design optimization deduction rules.

[0032] "Material supply and demand matching status 300" refers to the status object formed after processing by the artificial intelligence material supply and demand coordination structure 200. It is associated with material supply objects under the satisfying status 301, and with supply and demand gap objects under the supply gap status 302.

[0033] "Materials supply objects" refers to the supply-side material resources that can enter the procurement and transaction process.

[0034] "Supply-demand gap objects" refer to objects that are awaiting response due to their material specifications, performance, supply capacity, delivery cycle, or supply cost not meeting the project conditions.

[0035] "Material supply and demand coordination result 400" refers to the result object output by the platform to the construction unit, design unit, supplier or construction unit, which can be represented as material adaptation result 401, supply and demand response result 402 or material replacement adaptation result 403 during operation and maintenance.

[0036] "Component-level material requirement unit" refers to the material requirement object organized by the platform according to individual building components.

[0037] "Material requirement sub-unit" refers to the requirement object formed by further breaking down the same component-level material requirement unit according to the usage location, structural layer, or installation area.

[0038] "Standardized material resource items" refer to the material supply objects in the material library that have undergone template verification, attribute classification, status binding, and version registration.

[0039] "Typological adaptation relationship" refers to the differentiated adaptation relationship established between the material demand sub-unit and the standardized material resource item in the AI-powered material supply and demand collaborative structure 200.

[0040] "Project-level material adaptation task" refers to the procurement execution object formed by the material supply object, component-level material demand unit, and performance constraints under the condition of satisfying state 301.

[0041] "Supply and demand response task" refers to the collaborative processing object on the design side and the supply side formed by the transformation of the supply and demand gap object under the supply gap state 302.

[0042] "Operation and maintenance material demand unit" refers to the material replacement demand object formed by the component-level differences between the on-site measured model data and the original urban information model data after the building is put into use.

[0043] "Operation and maintenance adaptation relationship" refers to the correspondence between replacement materials between operation and maintenance material demand units and standardized material resource items in the material library.

[0044] Example 1, referring to Figures 1-3 This is the first embodiment of the present invention, which is also the basic embodiment of the present invention. It defines the overall collaborative relationship between the material supply and demand collaborative model 100, the artificial intelligence material supply and demand collaborative structure 200, the material supply and demand adaptation state 300, and the material supply and demand collaborative result 400. It solves the technical problem that the separate processing of architectural design, material procurement, supplier response, and construction procurement leads to the inability of material supply and demand to be collaboratively adapted under the same project object, and achieves the technical effect of forming a closed loop of intelligent material procurement, supply feedback, and design optimization based on urban information model data.

[0045] The construction unit creates a target building project on the construction industry internet platform, entering the project name, project area, construction period, and participant permissions. After accessing the design end, the design unit uploads a complete BIM model and key engineering parameters to the CIM base. The platform reads the total construction area, total building height, structural type, construction details, component dimensions, material requirements, and performance standards according to preset fields. The platform then extracts building components such as exterior wall panels, floor tiles, insulation materials, pipeline fittings, floor slabs, walls, beams, and columns from the BIM model, and writes the component codes, model locations, component parameters, and material requirements into the engineering element database.

[0046] After suppliers enter the supplier portal, they first submit their company qualifications, then upload information such as material name, model specifications, strength, thermal conductivity, fire rating, origin, price, freight rates, available supply area, and production cycle. The platform uses standardized templates to complete format verification, preliminary classification, and material version registration, writing the verified data into the material library. When construction units access the buyer's material recommendation interface, they no longer need to manually cross-reference design drawings, material lists, and supplier quotations; instead, they receive the material supply and demand coordination results linked to CIM components directly on the platform.

[0047] In this embodiment, the material supply and demand coordination model 100 plays a project-level supply and demand organization role. Instead of storing the BIM model, bill of materials, and supplier product information separately, the platform centers on the target building project, binding the component material requirements in the engineering element database, the material supply capacity in the material library, and supply and demand constraints such as supply area, production cycle, material price, freight, and construction nodes into a single project object. The material supply and demand coordination model 100 can establish a demand index based on component codes or a procurement batch index based on construction nodes; it can bind material supply capacity to supplier identities or to a specific material resource version; and it can configure supply and demand constraints as cost constraints, delivery date constraints, regional constraints, and performance constraints, or merge these constraints into project performance constraints.

[0048] Taking the procurement of office building exterior wall panels as an example, after the design unit imports the exterior wall panel components into the CIM base, the platform records the model location, panel size, material requirements, fire resistance performance, and installation details of the exterior wall panel in the engineering element database; after the supplier uploads the exterior wall panel resources in the material library, the platform records the material specifications, supply area, supply cycle, unit price, freight, and current supply status of the resource; the material supply and demand collaboration model 100 binds the exterior wall panel components, exterior wall panel material resources, and corresponding construction details, forming a common data foundation for subsequent intelligent recommendations and procurement confirmation.

[0049] In this embodiment, the AI-powered material supply and demand collaboration structure 200 plays a role in intelligent adaptation and judgment. After reading the component material requirements from the material supply and demand collaboration model 100, the platform first uses a large language model to parse the semantic information in the material requirements, such as "fire resistance rating," "thermal conductivity," "irregular panel dimensions," and "prefabricated installation location." Then, it reads the material description, performance parameters, price, freight, delivery time, and performance status of standardized material resource items in the material library. For general materials such as cement, sand and gravel, and ordinary insulation boards, the platform can use a path cost calculation method to convert material prices, freight, and delivery times into comparable supply path costs, and determine the supplier recommendation order based on the performance status. For customized component materials such as irregular curtain wall panels and special steel beams, the platform can use a parameter semantic matching method. The large language model judges the degree of consistency between the component size, structural form, performance requirements, and the supplier's customization capability description, and then rules determine whether the supply cycle and project area meet the requirements. Taking cement and irregularly shaped curtain wall panels as examples, when cement is included in the recommendations, the platform compares the prices, freight, and delivery times of multiple suppliers, and forms a low-path-cost recommendation after excluding suppliers that cannot deliver on time; when irregularly shaped curtain wall panels are included in the recommendations, the platform first compares the semantic consistency between the size, shape, and performance requirements of the curtain wall components and the supplier's processing capability description, and then determines whether the supplier's materials can enter the satisfyable state 301 in combination with the production cycle.

[0050] In this embodiment, the material supply and demand matching status 300 receives the judgment result from the AI-powered material supply and demand collaboration structure 200 and is directly associated with subsequent processing objects. If the material resources simultaneously meet the component material requirements, material supply capacity, and supply and demand constraints, the platform configures the material supply and demand matching status 300 as a "satisfiable" status 301 and associates it with the material supply object. If the material resources cannot meet the project conditions due to specifications not matching, performance not meeting standards, lack of supply area coverage, excessively long delivery cycle, or significantly unfavorable path costs, the platform configures the material supply and demand matching status 300 as a "supply gap" status 302 and associates it with the "supply gap" object. The material supply object can be a standardized material resource item in the material library or a supplier material resource that meets the performance conditions under the current project. The supply gap object can come from overly narrow design material requirements or from insufficient current supply capacity.

[0051] Taking the aforementioned exterior wall panel as an example, if a supplier's exterior wall panel resources meet the requirements in terms of size, performance, supply area, and construction nodes, the material supply and demand matching status 300 is associated with that exterior wall panel resource; if all suppliers cannot provide the corresponding specifications, the material supply and demand matching status 300 generates an exterior wall panel supply and demand gap object and records the reason for the gap.

[0052] In this embodiment, the material supply and demand coordination result 400 is output to all participants in the platform. Under the condition of "satisfaction met" (state 301), the platform generates a material adaptation result 401, linking the material supply object, component location, supplier identity, delivery cycle, and price information back to the corresponding building component in the CIM base. This information is simultaneously displayed in the buyer's material recommendation interface and the procurement and transaction interface, allowing the construction unit or contractor to confirm orders, track progress, sign contracts, and reconcile accounts. Under the condition of "supply gap" (state 302), the platform generates a supply and demand response result 402. On one hand, it displays the boundaries of replaceable materials, specification adjustment suggestions, and cost-saving analysis to the design unit in the design optimization suggestion interface. On the other hand, it pushes the demand to qualified suppliers with similar products or processing capabilities in the supplier guidance interface, prompting them to develop, allocate, or supplement the supply. If the design change can significantly reduce material costs, the platform also uses a large language model to deduce the cost changes and construction cycle impact after material replacement, providing the quantitative results to the design unit as a basis for design optimization.

[0053] Example 2 is the second embodiment of the present invention. Based on Example 1, this embodiment defines the component-level material requirement unit and the material requirement sub-unit to solve the technical problem that when there are multiple material requirements for the same building component, it is difficult to locate the material matching result 401 to the specific use part. This achieves the technical effect that the material supply and demand coordination result 400 can be back-attached to the corresponding use part in the urban information model data.

[0054] The platform reads the model attributes and material requirements of the same building component from the engineering element database and aggregates the component identity, model location, component parameters, and material requirements into component-level material requirement units. This component-level material requirement unit is not a material name in the procurement list, but rather corresponds to a specific model object in the CIM base. Component-level material requirement units can correspond to structural components such as walls, floor slabs, beams, and columns, or engineering objects such as exterior wall panels, floor tiles, insulation material installation locations, or pipeline fittings. Model attributes can come from object identifiers in the BIM model or from engineering parameter tables supplemented by the design unit. Material requirements can come from the model attribute column or from material performance specifications uploaded with the model. Taking wall components as an example, the platform reads the wall component's model code, floor location, component thickness, structural type, insulation requirements, fire protection requirements, and finish requirements in the CIM base, and generates the corresponding component-level material requirement unit for the wall component in the material supply and demand collaboration model 100. When this unit enters the subsequent adaptation phase, the supplier's material resources will no longer be matched with the general term "wall materials," but will be matched with the wall component requirements that have specific model locations, component parameters, and material performance requirements.

[0055] When the same building component corresponds to multiple material requirements, the platform breaks down the component-level material requirement unit into material requirement sub-units according to the component's usage location. The platform reads the structural layer, installation area, or usage location fields from the component-level material requirement unit and generates an independent material requirement sub-unit for each usage location. Usage locations can be divided according to structural layers or installation areas; the same wall component can form a base layer material requirement sub-unit, an insulation layer material requirement sub-unit, and a finishing layer material requirement sub-unit; the same floor slab component can form a structural layer material requirement sub-unit and a surface layer material requirement sub-unit; the same pipeline system can also form multiple material requirement sub-units according to pipes, connectors, and supports. Taking a wall component as an example, the platform writes the thermal conductivity, fire resistance rating, and thickness requirements of the wall insulation layer into the insulation material requirement sub-unit, and the decorative performance, specifications, and weather resistance of the wall finishing layer into the finishing material requirement sub-unit, and simultaneously associates the two material requirement sub-units with the model location of the wall component.

[0056] The AI-powered material supply and demand coordination structure 200 subsequently uses material demand sub-units as matching objects to form a material supply and demand matching status 300. After the insulation material demand sub-unit enters the material library, it matches insulation board resources; after the finishing material demand sub-unit enters the material library, it matches finishing panel or decorative panel resources. Each material demand sub-unit can be associated with different material supply objects, or can form different supply and demand gap objects. Taking wall components as an example, after the insulation material demand sub-unit matches a supplier's insulation board resource, the material supply and demand matching status 300 uses that insulation board resource as the material supply object; if the finishing material demand sub-unit forms a supply and demand gap object due to unmet specifications or delivery cycles, the material supply and demand coordination result 400 will revert the insulation layer material matching result 401 to the wall insulation layer, and the finishing layer supply and demand response result 402 to the wall finishing layer. When the construction unit views the buyer's material recommendation interface, it can see which usage parts under the same wall component have completed material matching, and which usage parts still require the design unit to confirm the replacement boundary or the supplier to provide a supply response.

[0057] Example 3 is the third embodiment of the present invention. Based on Example 2, this embodiment limits the standardized material resource items and the typified adaptation relationship, and solves the technical problems of scattered material supply data resources, distortion of adaptation results after changes in supply status, and inaccurate matching caused by the sharing of the same adaptation logic between general supply materials and customized supply materials. It achieves the technical effect that the material supply and demand adaptation state 300 can form a differentiated adaptation relationship based on the current effective material supply capacity and according to the material type.

[0058] After registering an account on the platform and submitting enterprise qualification information such as production licenses and quality certifications, suppliers upload available material resources. The platform does not directly input the original material descriptions uploaded by suppliers into intelligent recommendations. Instead, it uses standardized templates to verify the format of material names, model specifications, physical performance parameters, place of origin, price, freight standards, available supply areas, and production cycles.

[0059] After verification, the platform classifies materials according to their type, application location, and key performance parameters in multiple dimensions, generates standardized material resource items in the material library, and binds these resource items to the supplier's identity, supply capacity status, performance status, and material version status.

[0060] Standardized material resources can correspond to general materials such as cement, sand and gravel, and ordinary floor tiles, or to customized materials such as irregularly shaped curtain wall panels, special steel beams, and customized pipeline fittings; the supply capacity status can be maintained by the supplier or generated by the platform based on the supplier's delivery cycle, available areas, and current inventory status; the material version status can record changes in material performance parameters or the supplier's historical updates to material resources.

[0061] Taking insulation board resources as an example, after the supplier uploads the insulation board material, the platform checks whether the material has the necessary information such as specifications, thermal conductivity, fire rating, supply area and production cycle; after the verification is passed, the platform writes the insulation board into the material library, generates a standardized material resource item for insulation board, and binds the supplier's identity, current availability status and performance status.

[0062] When the supply capacity or fulfillment status of standardized material resources changes, the platform synchronously updates the resource status in the material supply and demand coordination model 100. If the updated resources still meet the supply conditions of the target building project, the platform marks the standardized material resource as a resource that can participate in adaptation; if the resources cannot meet the current project conditions, the platform marks the standardized material resource as a resource that is restricted from participation in adaptation. Resources that are restricted from participation in adaptation are still stored in the material library for subsequent status restoration or historical traceability, but are not considered as priority material supply targets for the current project.

[0063] Taking a certain specification of insulation board as an example, when the supplier updates the insulation board to be temporarily unavailable, or adjusts the available area to not cover the target building project location, the platform simultaneously updates the resource item to a restricted resource for matching, and the material supply and demand matching status 300 no longer forms a satisfyable status 301 based on the invalid resource; when the supplier updates it to be available again and the performance status meets the project conditions, the platform restores the resource item to a resource that can participate in matching, and re-enters the process of forming the material supply and demand matching status 300.

[0064] The AI-powered materials supply and demand collaboration structure 200 establishes a typological matching relationship between material demand sub-units and standardized material resource items. The platform first identifies whether a material demand sub-unit corresponds to a general supply material or a customized supply material, then selects the appropriate matching criteria. For general supply materials, the platform can use the path cost formed by material price, freight, and delivery time as the primary matching criteria, and exclude restricted material resources based on the performance status. For customized supply materials, the platform can use the semantic consistency of specifications, the semantic consistency of performance, and the customization capabilities of the supplier as the primary matching criteria. Semantic judgment is not excluded for general materials, and performance judgment is not excluded for customized materials; the only difference lies in the dominant criteria used in the matching priority relationship.

[0065] Taking cement materials and irregularly shaped curtain wall panels as examples, when cement materials are included in the recommendation list, the platform reads the material prices, freight rates, and delivery times of cement resources from multiple suppliers to form path costs, and determines the matching priority based on the performance status. When irregularly shaped curtain wall panels are included in the recommendation list, the platform reads the dimensions, shape, installation location, and performance requirements of the curtain wall components, and then reads the supplier's customized processing capabilities description. The large language model determines the semantic consistency between the two, and the production cycle is used to confirm whether it enters the satisfyable state 301. If a cement resource has a low cost but delivery is unavailable, the platform will not prioritize it; if a customized panel has a similar name but cannot meet the size or performance requirements of the curtain wall components, the platform will not identify it as a material supplier.

[0066] Example 4 is the fourth embodiment of the present invention. Based on Example 3, this embodiment limits the project-level material matching task, supply and demand response task, and design optimization suggestions. It solves the technical problems that when materials are available, it is difficult to trace the procurement object back to the building components. When the material supply is insufficient or the specifications do not match, the platform can only prompt that there is no match and cannot form a collaborative response between the design side and the supply side. Furthermore, the optimization of building design costs lacks quantitative support. It achieves the technical effect that the material supply and demand collaboration result 400 can respectively form material matching result 401, supply and demand response result 402, and design optimization suggestions.

[0067] After the material supply and demand matching status 300 is associated with the material supply object, the platform reads the standardized material resource item corresponding to the material supply object, reads the building component corresponding to the component-level material demand unit, and then reads the performance conditions in the supply and demand constraints. These three are then configured as a project-level material matching task. The project-level material matching task can fulfill the procurement execution process under status 301, enabling the procurement and transaction process to directly accept the component requirements in the CIM base. The project-level material matching task can be initiated and confirmed by the construction unit, or approved by the construction unit; it can be displayed on the procurement and transaction page, or written back to the component attribute page in the CIM base; performance constraints can be expressed as delivery date, supply area, supply cost, or contract performance status.

[0068] Taking the procurement of wall insulation boards as an example, the platform configures a supplier's insulation board resources, wall component insulation layer requirements, and delivery cycle constraints as a project-level material matching task. When the construction unit confirms this task on the procurement and transaction page, it can see the wall components, material properties, and performance conditions corresponding to the insulation board. After the supplier confirms delivery, the platform links the order status, progress tracking, contract signing, and reconciliation information to this task. When the design unit or construction unit views the wall components in the CIM base, it can also see that the insulation layer has formed a material matching result 401.

[0069] The material supply and demand coordination result 400 is generated based on the project-level material adaptation task, forming material adaptation result 401. This material adaptation result 401 is then written back to the corresponding building component in the city information model data. During the write-back process, the platform locates the model position corresponding to the building component in the CIM base and associates the material supply object, supplier identity, delivery cycle, price information, and performance constraints with the corresponding component.

[0070] Taking wall insulation layers as an example, the platform writes the insulation board material matching result 401 into the insulation layer location of the wall component. This ensures that the material matching result 401 is no longer a procurement item detached from the model, but is linked to the component's material requirements, supplier material resources, and procurement transaction status. Subsequently, if the supplier adjusts the material version or supply status, the platform can prompt whether the component's material matching result 401 needs to be reconfirmed based on the status change of the standardized material resource item.

[0071] After the material supply and demand matching status is linked to the supply and demand gap objects, the platform transforms the supply and demand gap objects into supply and demand response tasks. The platform first identifies the source of the gap; if the gap comes from overly narrow design material requirements, overly special specifications, or unclear substitution boundaries, the platform generates design-side demand adjustment items and links them to the corresponding replaceable material boundaries for building components; if the gap comes from insufficient current supply capacity, the platform generates supply-side supply response items and links them to suppliers with similar supply capabilities. Supply and demand response tasks can be first pushed to design units to confirm replaceable material boundaries, or simultaneously pushed to suppliers with similar products or similar processing capabilities; design-side demand adjustment items can manifest as material specification adjustments, material performance grade adjustments, or confirmation of the range of replaceable materials; supply-side supply response items can manifest as material allocation response, new material development, customized supply follow-up, or centralized demand forecasting. Taking the inability to match irregularly shaped curtain wall panels as an example, the platform transforms the supply and demand gap objects of irregularly shaped curtain wall panels into supply and demand response tasks.

[0072] On the one hand, the platform displays the boundaries of replaceable materials for the curtain wall component in the design optimization suggestion interface of the designer, and infers the impact of replacement on material costs and construction cycle based on the large language model; on the other hand, the platform pushes the demand for the irregular curtain wall panel to qualified suppliers with similar panel processing capabilities in the supplier guidance interface of the supplier, prompting the suppliers to make adjustments, research and development or supplement the supply.

[0073] When the platform detects that design changes can significantly reduce material costs, it further generates design optimization suggestions. Specifically, the AI-powered material supply and demand collaboration structure 200 reads the current material compatibility results 401, candidate alternative material resources, and construction node constraints. It calculates the impact of the alternative material's price, freight, delivery time, and construction cycle, and quantifies the cost difference, cycle changes, and compatibility risks before and after optimization. This design optimization suggestion can be pushed to design firms or used as a reference for value engineering decisions by construction units. Taking exterior wall decorative panels as an example, if the original design uses customized irregular-shaped panels, resulting in a limited number of suppliers, high costs, and long production cycles, while the material library contains standardized board resources that meet performance standards, the platform can show the design firm the analysis result that "replacing with standardized boards can reduce material costs and shorten the supply cycle while maintaining fire resistance and weather resistance no less than the original requirements," allowing the design firm to decide whether to adjust the design scheme.

[0074] Example 5 is the fifth embodiment of the present invention. Based on Examples 1, 3, or 4, this embodiment limits the material replacement adaptation during the operation and maintenance phase, solving the technical problem that the on-site material replacement needs after the building is put into use are separated from the urban information model data and material library, resulting in the procurement of operation and maintenance materials still relying on manual experience and historical data queries. It achieves the technical effect that the material replacement needs during the operation and maintenance phase can continue to use the material supply and demand collaboration model 100 to form the material replacement adaptation result 403.

[0075] After a building is put into use, the platform acquires on-site measured model data and aligns it with the city information model data at the component level. The on-site measured model data can be generated from drone point cloud modeling, or from modeled data collected on-site or manually. Component-level alignment can be completed based on the model location, or by combining component shape, component code, or spatial coordinates. On-site differences can arise from component damage, material aging, partial replacement needs, or maintenance records. Taking facade panel repair as an example, maintenance personnel collect facade point cloud data using drones. The platform uploads the point cloud model to the CIM base and compares the location of damaged panels in the point cloud model with the location of facade components in the original city information model data to confirm the original model components corresponding to the damaged panels, thus establishing a component-level difference association.

[0076] The platform generates maintenance material requirement units based on component-level difference associations. In practice, the platform reads the original model component locations, raw material requirements, historical material compatibility results (401), and on-site replacement requirements, and writes this data into the maintenance material requirement unit. The maintenance material requirement unit can inherit material requirements from the original model or supplement replacement requirements based on the on-site damage status; it can prioritize matching material resources consistent with the original model materials or match other material resources that meet the replacement requirements. Taking the aforementioned facade panel as an example, the platform generates a facade panel maintenance material requirement unit based on the component-level difference association between the damaged panel and the original facade component. This unit records the original model component location, original panel performance requirements, on-site damage range, replacement quantity, and on-site construction constraints.

[0077] After the maintenance material demand unit is connected to the material supply and demand collaboration model 100, the platform reads the currently valid standardized material resource items in the material library and establishes an maintenance adaptation relationship between the maintenance material demand unit and the standardized material resource items. The maintenance adaptation relationship can prioritize matching raw material resources or match alternative material resources that meet the replacement requirements; the material replacement adaptation result 403 can enter the procurement and transaction process, or it can be submitted to the construction unit or maintenance unit for confirmation first; when the maintenance demand forms a supply gap object, it can be fed back to the design side to confirm the substitution boundary, or it can be fed back to the supply side for supply response. Taking the aforementioned facade panel as an example, the platform reads the currently valid standardized panel material resource items in the material library and determines whether the resource meets the original panel performance requirements, on-site replacement dimensions, and current performance status. If a supplier's sheet metal resources meet the replacement requirements and the performance status is valid, the material supply and demand coordination result 400 will generate a material replacement and adaptation result 403, which will be associated with the corresponding facade component in the CIM base. At the same time, it will be entered into the procurement and transaction interface for the operation and maintenance unit to place an order for procurement. If no material resources meet the replacement requirements, the platform will configure the operation and maintenance material demand unit as a supply and demand gap object, and continue to push the alternative material boundary confirmation matter to the design unit, or push the supply response matter to suppliers with similar supply capabilities, so that the material procurement in the operation and maintenance stage will continue to follow the material supply and demand coordination path formed in the design procurement stage.

[0078] Example 6 is an embodiment of the present invention, which provides a building material supply and demand coordination system based on urban information model, including a collaborative modeling module, an intelligent adaptation module, and a collaborative result module.

[0079] The collaborative modeling module is used to form a material supply and demand collaborative model 100 based on the urban information model data and material supply data resources of the target building project. The material supply and demand collaborative model 100 is configured with component-level material demand units, material demand sub-units, standardized material resource items and operation and maintenance material demand units, so that the material demand, material supply capacity, supply and demand constraints and operation and maintenance material demand of building components are associated under the same project object.

[0080] The intelligent adaptation module is used to adapt and characterize the material supply and demand collaboration model 100 based on the artificial intelligence material supply and demand collaboration structure 200. It establishes a typified adaptation relationship between the material demand sub-unit and the standardized material resource item, and forms a material supply and demand adaptation state 300 based on the supply cost and performance status of the general supply materials and the semantic consistency status of the customized supply materials. The material supply and demand adaptation state 300 is associated with the material supply object under the satisfyable state 301, and associated with the supply and demand gap object under the supply gap state 302.

[0081] The collaborative results module is used to output material supply and demand collaborative results 400 based on the material supply objects or supply and demand gap objects associated with the material supply and demand adaptation status 300. In the material supply and demand collaborative results 400, material adaptation results 401, supply and demand response results 402, or material replacement adaptation results 403 are formed. The material adaptation results 401 are written back to the corresponding building components in the urban information model data. The supply and demand response results 402 are associated with design-side demand adjustment matters and supply-side supply response matters. The material replacement adaptation results 403 are formed based on operation and maintenance adaptation relationships.

[0082] This embodiment also provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements a building material supply and demand coordination method based on an urban information model as proposed in the above embodiment.

[0083] This embodiment also provides a computer-readable storage medium storing a computer program thereon. When the computer program is executed by a processor, it implements a building material supply and demand coordination method based on an urban information model as proposed in the above embodiment.

[0084] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0085] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0086] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0087] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0088] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for coordinating the supply and demand of building materials based on urban information models, characterized in that, include: Material demand objects are formed based on the urban information model data of the target building project, and material resource objects are formed based on the material supply data resources. The material demand objects, material resource objects, and performance constraints corresponding to the target building project are configured under the same project object to form a material supply and demand coordination model (100). Based on the artificial intelligence material supply and demand coordination structure (200), the material demand object and material resource object in the material supply and demand coordination model (100) are adapted and characterized to form a material supply and demand adaptation state (300). When the material supply and demand matching status (300) is in a satisfyable status (301), the material supply object is associated, and the material supply object, the corresponding material demand object and the performance constraint are configured as a project-level material matching task. Based on the project-level material matching task, a material matching result (401) is formed, and the material matching result (401) is written back to the corresponding building component in the urban information model data. When the material supply and demand matching state (300) is a supply gap state (302), the supply and demand gap object is associated and the supply and demand gap object is configured as a supply and demand response task. The supply and demand response task is associated with both design-side demand adjustment matters and supply-side supply response matters. A supply and demand response result (402) is formed based on the supply and demand response task. Based on the material adaptation result (401) or the supply and demand response result (402), a material supply and demand coordination result (400) associated with the urban information model data is formed.

2. The building material supply and demand coordination method based on urban information model as described in claim 1, characterized in that: The material requirement objects include component-level material requirement units. In the material supply and demand coordination model (100), the model attributes and material requirements corresponding to the same building component in the urban information model data are configured as component-level material demand units; When the same building component corresponds to multiple material requirements, the component-level material requirement unit forms a corresponding material requirement sub-unit according to the usage location of the building component, and the material requirement sub-unit is associated with the model location of the corresponding building component in the urban information model data; The material supply and demand matching state (300) is formed based on the material demand sub-unit, so that the material supply and demand coordination result (400) can be located to the corresponding usage part of the building component.

3. The building material supply and demand coordination method based on urban information model as described in claim 1 or 2, characterized in that: The material resource objects include standardized material resource items. In the material supply and demand coordination model (100), material supply data resources are configured as standardized material resource items, and the standardized material resource items are bound to the supply capacity status and performance status of the corresponding supply side. When the supply capacity status or performance status of the standardized material resource item changes, the material supply and demand coordination model (100) updates the corresponding standardized material resource item to a resource that can participate in the adaptation or a resource that is restricted from participating in the adaptation. The material supply and demand matching status (300) is formed based on the updated standardized material resource items, so that the material supply and demand coordination result (400) is consistent with the current effective material supply capacity.

4. The building material supply and demand coordination method based on urban information model as described in claim 3, characterized in that: The AI-powered material supply and demand coordination structure (200) establishes a typified adaptation relationship between the material demand sub-unit and the standardized material resource item; When the material demand subunit corresponds to a general supply material, the type-based adaptation relationship determines the adaptation priority relationship of the material supply object based on the supply cost and the performance status. When the material demand subunit corresponds to customized supply materials, the typified adaptation relationship determines the adaptation priority relationship of the material supply object based on the semantic consistency between material requirements and supply capacity. The material supply and demand matching state (300) is formed based on the matching priority relationship, and is determined to be either a satisfyable state (301) or a supply gap state (302) depending on whether the matching priority relationship meets the performance constraints.

5. The building material supply and demand coordination method based on urban information model as described in claim 4, characterized in that: When the material supply and demand matching state (300) is associated with the material supply object, the material supply object, the corresponding component-level material demand unit and the corresponding performance constraint are configured as a project-level material matching task; The material supply and demand coordination result (400) is based on the project-level material adaptation task to form a material adaptation result (401), which is written back to the material demand location of the corresponding building component in the urban information model data, and is associated with the order status, progress status or contract status in the procurement and transaction process. When the standardized material resource item corresponding to the material supply object in the project-level material adaptation task is updated to a restricted resource for adaptation, the material supply and demand coordination model (100) triggers the reconfirmation or re-adaptation of the corresponding material adaptation result (401).

6. The building material supply and demand coordination method based on urban information model as described in claim 1, characterized in that: The supply and demand response tasks include, Information on the sources of the gap, adjustments to design-side demand, and supply-side response measures; The information on the sources of the gap includes at least one of the following: material specifications mismatch, material performance not meeting requirements, insufficient supply capacity, limited performance status, or supply cost not meeting project conditions. The design-side demand adjustments are associated with the boundaries of replaceable materials for the corresponding building components, and are based on information on changes in the formation cost of candidate alternative materials or information on the impact of construction cycle. The supply-side supply response is associated with supply-side entities with similar supply capabilities, so that the supply-demand response result (402) simultaneously forms a basis for material adjustment for the design side and a basis for material allocation, customized supply, or supplementary supply capacity for the supply side.

7. The method for coordinating the supply and demand of building materials based on a city information model as described in any one of claims 1, 5, and 6, characterized in that: It also includes, Establish a component-level difference association between the on-site measured model data generated during the operation and maintenance phase of the target building project and the urban information model data, and form an operation and maintenance material requirement unit based on the component-level difference association; After the operation and maintenance material demand unit is connected to the material supply and demand collaboration model (100), it forms an operation and maintenance adaptation relationship with the standardized material resource item; When the operation and maintenance adaptation relationship meets the current supply capacity status and performance status, the material supply and demand coordination result (400) forms a material replacement adaptation result (403) based on the operation and maintenance adaptation relationship, and associates the material replacement adaptation result (403) with the corresponding building component in the urban information model data; When the operation and maintenance adaptation relationship does not meet the current supply capacity status or performance status, the operation and maintenance material demand unit is configured as a supply and demand gap object, and a supply and demand response result (402) is formed for the design side or the supply side.

8. A building material supply and demand coordination system based on a city information model, employing the building material supply and demand coordination method based on a city information model as described in any one of claims 1 to 7, characterized in that: It includes a collaborative modeling module, an intelligent adaptation module, and a collaborative results module; The collaborative modeling module is used to form a material supply and demand collaborative model (100) based on the urban information model data and material supply data resources of the target building project, and to configure component-level material demand units, material demand sub-units, standardized material resource items and operation and maintenance material demand units in the material supply and demand collaborative model (100); The intelligent adaptation module is used to adapt and characterize the material supply and demand coordination model (100) based on the artificial intelligence material supply and demand coordination structure (200), and establish a typified adaptation relationship or operation and maintenance adaptation relationship between the material demand sub-unit or operation and maintenance material demand unit and the standardized material resource item, forming a material supply and demand adaptation state (300). The collaborative result module is used to output material supply and demand collaborative results (400) based on the material supply object or supply and demand gap object associated with the material supply and demand matching status (300), forming material matching results (401), supply and demand response results (402) or material replacement matching results (403).

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the building material supply and demand coordination method based on urban information model as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the building material supply and demand coordination method based on urban information model as described in any one of claims 1 to 7.

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