A full life cycle construction waste recycling management method and system

By establishing a lifecycle information model during the architectural engineering design phase and combining it with on-site collected information for unit segmentation identification and scheduling optimization, the problems of coarse identification granularity, weak evaluation methods, and low scheduling efficiency in existing construction waste management systems have been solved, thus achieving refined management of construction waste and efficient utilization of resources.

CN122453393APending Publication Date: 2026-07-24JIANGXI ZHONGGANTOU SURVEY & DESIGN CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JIANGXI ZHONGGANTOU SURVEY & DESIGN CO LTD
Filing Date
2026-05-07
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

The existing construction waste management system lacks full life-cycle information modeling, which makes it impossible to identify construction waste at the unit level, lacks a refined evaluation mechanism and scheduling decision, and results in resource misallocation and low recycling value.

Method used

Establish a lifecycle information model during the architectural engineering design phase to record component types, material properties, installation locations, and expected demolition times. Combine this with on-site collected information to identify unit blocks. Optimize the scheduling plan through a recycling task library matching and evaluation model to achieve refined management of construction waste.

Benefits of technology

It has enabled refined management of construction waste, improved the automation and intelligence of recycling operations, enhanced the economy and timeliness of resource allocation, and ensured closed-loop management throughout the entire life cycle.

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Abstract

The application discloses a kind of whole life cycle's construction waste recycling management method and system, it is related to construction waste management technical field.A kind of whole life cycle's construction waste recycling management system, including have: life cycle information modeling module, unit identification module, recycling task matching module, recycling task evaluation module, recycling scheduling module and state record and optimization module.The application is by establishing construction waste life cycle information model, unit block identification is carried out in combination with field demolition data, and introduces the evaluation mechanism of recycling task, realizes the fine identification of construction waste, intelligent recycling and whole-process closed-loop management, improves recycling efficiency and resource utilization benefit.
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Description

Technical Field

[0001] This invention relates to the field of construction waste management technology, and in particular to a method and system for the whole life cycle management of construction waste recycling. Background Technology

[0002] With the advancement of green building and resource recycling concepts, the management of construction waste recycling has gradually gained attention. Currently, some cities and enterprises have deployed construction waste management platforms to track transportation, register disposal processes, or perform preliminary classification based on component material types. These systems mostly use RFID, GPS, and other methods to record the source and flow of construction waste, thus improving the level of information management to some extent.

[0003] A core deficiency in current mainstream technologies is the lack of system modeling and application mechanisms based on the full lifecycle information of building components. Because component-level information models are not established during the design phase, existing technologies cannot achieve unit-level segmentation and identification of construction waste when dealing with complex building structures. Furthermore, during the recycling phase, there is a lack of refined evaluation mechanisms and scheduling decision support, relying solely on manual experience or static rules for resource allocation. In addition, dynamic demand information such as the recycling purpose, target location, and usage time of construction waste is not systematically incorporated into the evaluation system in existing systems, leading to widespread problems of resource misallocation and low recycling value. Summary of the Invention

[0004] This invention proposes a construction waste recycling management method with a life cycle information model as its core, which has the ability to identify unit blocks and supports recycling task evaluation and dynamic scheduling optimization, in order to overcome the technical bottlenecks of existing systems in terms of coarse identification granularity, weak evaluation methods and low scheduling efficiency.

[0005] A method for managing construction waste recycling throughout its entire lifecycle includes:

[0006] During the design phase of a building project, a lifecycle information model for construction waste is established to record the component type, material properties, installation location, expected service life, and expected demolition time of each building component.

[0007] During the construction or demolition phase, information on the demolition of building components is collected, including the source of the components, their actual location coordinates, the demolition sequence, and material properties. Combined with the life cycle information model, the construction waste is divided into units and identified to generate construction waste units. Each construction waste unit is then assigned a unique identification number.

[0008] For each construction waste unit, based on its corresponding material properties and expected demolition time in the life cycle information model, a recycling task is matched from the recycling task library. The recycling task includes the recycling purpose, processing method, target usage time, and target location. The task leeway is calculated based on the difference between the target usage time of the recycling task and the current time.

[0009] For each matched recycling task, the evaluation value of the construction waste unit under the corresponding task path is calculated through the recycling task evaluation model, and the recycling task adaptability of the construction waste unit is evaluated based on the evaluation value.

[0010] A recycling scheduling plan is developed based on the suitability assessment results of the recycling task and used to carry out the recycling operation of construction waste.

[0011] As a preferred technical solution of the present invention, the process of identifying construction waste by unit segmentation using a life cycle information model includes:

[0012] Based on the component type, material properties, installation location, and expected demolition time recorded in the life cycle information model, cluster analysis is performed on building components to form a set of candidate components with similar attributes and expected recycling paths. The set of candidate components is used as the initial block unit, and further combined with the demolition information collected on site, the spatial coherence of the initial block unit is optimized to form construction waste unit. Each construction waste unit is assigned a unique identifier number, and its reference relationship in the life cycle information model is recorded for subsequent recycling task matching and scheduling tracking.

[0013] As a preferred technical solution of the present invention, the recycling task evaluation model is a dynamic configuration model, which automatically selects different evaluation values ​​according to the processing method of the recycling task, including resource utilization, landfill disposal and temporary storage.

[0014] As a preferred technical solution of the present invention, the resource utilization refers to the resource recycling of construction waste. For each construction waste unit, the system automatically selects its own processing plant or a third-party processing plant to recycle and process the construction waste based on the availability of the recycling task, so as to maximize resource utilization.

[0015] As a preferred embodiment of the present invention, the step of conducting a recycling task adaptability assessment includes:

[0016] To determine whether a construction waste unit is feasible for recycling, if the evaluation values ​​of all candidate recycling tasks do not meet the recycling adaptability threshold of the corresponding treatment method, the construction waste unit is marked as a non-recyclable unit; otherwise, the recycling task with the highest evaluation value is selected as the recommended recycling path, the construction waste unit is marked as a recyclable unit, and a corresponding recycling priority is assigned.

[0017] As a preferred embodiment of the present invention, the recovery scheduling plan includes:

[0018] Based on the recycling priority, recommended recycling routes, task slack, and resource availability of all recyclable units, a recycling scheduling plan is formulated, and the recycling operations of construction waste are executed, including transportation, processing, storage, and final disposal. Among these, resource availability is dynamically assessed based on current resource status information, which includes recycling facilities, transport vehicles, processing capacity, and storage capacity.

[0019] As a preferred embodiment of the present invention, a method for managing the recycling of construction waste throughout its entire life cycle further includes:

[0020] Throughout the recycling management process, the status information of each construction waste unit is recorded. This status information includes block identification information, life cycle information model reference information, recommended recycling path, recycling scheduling execution information, and actual usage information. This status information is then used to optimize the recycling task matching algorithm and the recycling task evaluation model.

[0021] A system for managing the recycling of construction waste throughout its entire lifecycle includes:

[0022] Lifecycle Information Modeling Module: Used to establish a lifecycle information model of construction waste during the architectural engineering design phase, recording the type, material properties, installation location, expected service life, and expected demolition time of building components;

[0023] Unit identification module: used to collect demolition information of building components during the construction or demolition phase, and combine it with the life cycle information model to identify construction waste into units, generate construction waste units, and assign a unique identification number;

[0024] Recycling task matching module: Used to match recycling tasks from the recycling task library based on the material properties of the construction waste unit and the expected demolition time, and to calculate the task leeway.

[0025] Recycling Task Evaluation Module: Based on the matched recycling task, it calculates the evaluation value of each construction waste unit under different recycling task paths, determines whether it is feasible to recycle, and recommends recycling paths and priorities;

[0026] Recycling scheduling module: Used to formulate recycling scheduling plans based on the recycling priority, recommended routes, task leeway and resource availability of construction waste units, and to execute recycling operations such as transportation, processing, storage and final deployment;

[0027] Status recording and optimization module: used to record the status information of each construction waste unit throughout the entire recycling process, and to optimize the recycling task matching algorithm and recycling task evaluation model accordingly.

[0028] The present invention has the following advantages:

[0029] This invention achieves systematic management of key information of each building component by constructing a life cycle information model of construction waste during the architectural engineering design stage, providing basic data support for subsequent construction waste recycling. By combining the life cycle information model with the demolition information collected on site, it enables unit block identification of construction waste, achieving refined management of construction waste and avoiding the problem of low recycling efficiency caused by the coarse-grained treatment of construction waste in traditional methods.

[0030] This invention improves the automation and intelligence of recycling operations by constructing a recycling task library and dynamically matching it based on the attributes and life cycle information of construction waste units. It automatically recommends the optimal recycling use and scheduling path for each unit. By introducing a recycling task evaluation model, it comprehensively considers the evaluation value of construction waste to make recycling judgments, which significantly improves the economy of resource scheduling and processing path selection.

[0031] This invention improves the timeliness and resource utilization efficiency of construction waste recycling by introducing a multi-factor comprehensive decision-making mechanism that considers task sufficiency, resource availability, and recycling priority during the scheduling phase. By recording the status information of each construction waste unit, it provides data support for subsequent algorithm optimization and management decisions, thus realizing closed-loop management throughout the entire lifecycle. Attached Figure Description

[0032] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are only schematic diagrams of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0033] Figure 1 This is a schematic diagram of a full life-cycle construction waste recycling management system used in an embodiment of the present invention. Detailed Implementation

[0034] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0035] Example 1: A method for managing construction waste recycling throughout its entire lifecycle, comprising the following steps:

[0036] Step S1: During the design phase of a building project, establish a lifecycle information model for construction waste to record the component type, material properties, installation location, expected service life, and expected demolition time of each building component.

[0037] The lifecycle information model is a multi-dimensional data structure model built on a BIM platform. Through integration with the architectural design model, it forms a structured information system oriented towards the component level. This model uses components as information unit nodes, recording the lifecycle-related attributes of the components, including at least:

[0038] Component types: such as beams, columns, walls, panels, windows, etc., derived from architectural CAD or BIM element types;

[0039] Material properties include material name, strength grade, recyclability grade, environmental label, and place of origin, which are defined in a structured manner by calling the national building material coding library or design code standard library;

[0040] Installation location: Based on the coordinate system of the design drawings, record the positioning information of the components in three-dimensional space (such as floor, axis, room number);

[0041] Expected service life: set by the material life parameters and functional uses in the design specifications, combined with the evaluation parameters of the usage environment;

[0042] Estimated demolition time: Calculated based on the overall service life of the building and the phased maintenance plan, and automatically generated in conjunction with the estimated lifespan of the components.

[0043] The above data was collected and generated in the following ways:

[0044] Design phase data input: directly obtained through the designer's drawings in BIM modeling software (ArchiCAD), with component information automatically extracted as BIM element parameters;

[0045] Material database integration: The system connects to standardized building material databases (such as the appendix of GB / T50378 Green Building Evaluation Standard or enterprise-built recyclable material databases) to supplement material property and recycling characteristics information;

[0046] Automatic rule engine derivation: By configuring a preset rule engine (such as the mapping between component type and average lifespan, and the relationship between usage frequency and durability), the expected service life and estimated demolition time are automatically generated;

[0047] Synchronized GIS / Spatial Labeling: Spatial location information of components is generated through interaction between the BIM model and the GIS geographic information system or the building site plan information, ensuring accurate positioning for subsequent on-site demolition and recycling.

[0048] Ultimately, the lifecycle information model is stored in JSON format for real-time access by subsequent recycling unit identification, scheduling planning, value assessment, and other modules, and supports dynamic updates and version management.

[0049] Step S2: During the construction or demolition phase, collect demolition information of building components, including component source, actual location coordinates, demolition sequence and material properties, and combine it with the life cycle information model to identify the construction waste into units, generate construction waste units, and assign a unique identifier number to each construction waste unit.

[0050] The process of identifying construction waste by unit segmentation using a life cycle information model includes:

[0051] Based on the component type, material properties, installation location, and expected demolition time recorded in the life cycle information model, cluster analysis is performed on building components to form a set of candidate components with similar attributes and expected recycling paths. The set of candidate components is used as the initial block unit, and further combined with the demolition information collected on site, the spatial coherence of the initial block unit is optimized to form construction waste unit. Each construction waste unit is assigned a unique identifier number, and its reference relationship in the life cycle information model is recorded for subsequent recycling task matching and scheduling tracking.

[0052] Demolition information collection method:

[0053] On-site scanning equipment: 3D laser scanning, structured light SLAM, UAV image modeling and other technologies are used to obtain the position coordinates and outline of the components at the actual demolition site;

[0054] IoT data collection nodes: Real-time data collection of component origin information, material identification codes, and dismantling status via pre-set RFID / NFC electronic tags and sensors;

[0055] Manual labeling and system integration: Construction workers can use a mobile data collection app to perform image recognition and labeling on components that do not have automatic labels, and the system will automatically synchronize the data to the lifecycle model data interface.

[0056] Demolition sequence information: The demolition sequence is automatically extracted or adjusted by the rule engine by combining the construction plan, BIM-4D model (progress dimension) and actual construction logs.

[0057] The unit segmentation identification method is optimized as follows: The K-means algorithm is used to perform unsupervised learning clustering analysis on the "material properties, component type, installation height, and expected demolition time" of the components to form a candidate set of attribute consistency. Potential recycling paths are extracted by comparing the path matching similarity between the components in the lifecycle model and the historical recycling case database, which is then used for further segmentation rationality analysis. After using the candidate component set as the initial segmentation unit, a spatial topology algorithm (eight-connected region analysis) is applied to ensure the adjacency and logistical accessibility of the components in physical space, thereby forming a practically operable construction waste unit.

[0058] A unique identifier (e.g., BWD-YYYYMMDD-XXXX) is generated for each construction waste unit, which includes the component's generation date, project code, and serial number. A mapping table between the identifier and lifecycle information model nodes is established to record the component's original design ID, change history, recycling task status, scheduling records, etc. The identifier number is affixed to the physical component via QR code or RFID to achieve a two-way mapping between the physical component and the digital model.

[0059] The on-site demolition information and the original lifecycle information model are verified for consistency through data fusion algorithms (such as point cloud matching and component structure matching) to identify component misalignment, material errors, or replacement situations; an error log and manual review module are established to ensure that the block results are consistent with the on-site entities and meet the accuracy requirements of the recycling scheduling system for location information and component content.

[0060] Step S3: For each construction waste unit, based on its corresponding material properties and expected demolition time in the life cycle information model, match recycling tasks from the recycling task library. The recycling task includes recycling purpose, processing method, target usage time and target location; calculate the task leeway based on the difference between the target usage time of the recycling task and the current time.

[0061] The recycling task library is a structured database oriented towards material reuse and resource allocation, used to store predefined recycling requirements for acceptable recyclable construction waste units. This library includes both static tasks (such as material requirements for projects under construction) and dynamic tasks (such as unexpected projects and emergency works).

[0062] Each record constitutes a recycling task, which consists of the following parts:

[0063] Task ID (unique identifier, such as RCT-202506-001);

[0064] Recycling uses: Describe the usage scenarios of the materials corresponding to this task (such as municipal road base materials, recycled concrete aggregates, thermal insulation brick backfill, etc.).

[0065] Material type requirements: Specify the required building material type, strength grade, impurity tolerance, etc. (e.g., C30 waste concrete blocks, particle size ≤30mm).

[0066] Treatment methods include resource utilization, landfill disposal, and temporary storage; each treatment method also includes specific treatment requirements; for example, the treatment requirements for resource utilization include pretreatment types (crushing, washing, sorting) and processing standards;

[0067] Target usage time: the planned time for the material to be put into use;

[0068] Target location: refers to the final location or project coordinates where the material will be used;

[0069] Acceptance Quantity and Frequency: Requirements for single collection quantity and acceptable collection frequency;

[0070] Constraints include environmental compliance requirements, supply cycle limits, and maximum transportation time.

[0071] Task priority: can be set based on factors such as the intensity of funding support, the urgency of the construction period, and the priority of public projects.

[0072] The database is jointly built by government building management platforms, building development companies, recycled building material plants, construction waste disposal companies, and other parties, and supports a mechanism for periodic task release and real-time task subscription.

[0073] Recycling tasks are filtered and matched based on the following key attribute fields of construction waste units:

[0074] Material properties: Match the material type requirements and processing feasibility of the recycling task;

[0075] Estimated dismantling time: earlier than or slightly close to the target usage time of the recycling mission;

[0076] Location generation: Prioritize matching tasks with target locations that are spatially closer to reduce transportation costs;

[0077] Processing capacity: Whether local resources provide the necessary equipment or outsourcing channels for the required processing methods;

[0078] Recycling task constraints: The task must meet specific recycling requirements (such as restricted areas, temperature restrictions, environmental sensitivity, etc.).

[0079] If multiple tasks meet the matching criteria in the results, a comprehensive selection will be made based on the task availability and potential net recovery value.

[0080] Step S4: For each matched recycling task, calculate the evaluation value of the construction waste unit under the corresponding task path through the recycling task evaluation model, and evaluate the recycling task suitability of the construction waste unit based on the evaluation value.

[0081] The assessment of the recycling task suitability includes:

[0082] To determine whether a construction waste unit is feasible for recycling, if the evaluation values ​​of all candidate recycling tasks do not meet the recycling adaptability threshold of the corresponding treatment method, the construction waste unit is marked as a non-recyclable unit; otherwise, the recycling task with the highest evaluation value is selected as the recommended recycling path, the construction waste unit is marked as a recyclable unit, and a corresponding recycling priority is assigned.

[0083] The recycling adaptability threshold is obtained by fitting historical data or set by expert experience; each processing requirement corresponds to a recycling adaptability threshold.

[0084] The recycling task evaluation model is a dynamically configured model that automatically selects different evaluation values ​​based on the processing method of the recycling task. When the processing method is resource utilization, the evaluation value is the net recovery value calculated by combining the use value of the recycled materials with the recycling cost; when the processing method is landfill disposal, the evaluation value is the landfill evaluation value calculated by combining transportation distance, regional limitations, and environmental penalty factors; when the processing method is temporary storage, the evaluation value is the temporary storage evaluation value calculated by combining storage time, capacity availability, and delay cost factors.

[0085] The evaluation value of the recycling task assessment model, when used for resource utilization, is calculated using the following formula (net recovery value):

[0086] ,in:

[0087] Indicates net recovery value;

[0088] This indicates the use value of a construction waste unit under the recycling task, calculated based on its intended use and market price. Use value refers to the economic output of a construction waste unit after successful recycling and application to the target task, and can be determined using the following two methods:

[0089] a. Calculate the direct economic value of the construction waste unit by multiplying the current market price of recycled materials (such as recycled aggregates, broken bricks, and scrap steel bars) by the estimated net mass of the unit.

[0090] b. If the material will be used in government or corporate projects, estimate the procurement and transportation cost savings that would result from replacing the new material, and assess the difference in price.

[0091] This represents the total cost required for the unit recycling process of construction waste;

[0092] This indicates the cost of processing construction waste units to meet the requirements of the recycling task; processing costs include the manpower, equipment, and energy costs required for processing steps such as sorting, crushing, removing impurities, classifying, and compressing.

[0093] This represents the transportation cost of moving construction waste units from their point of origin to the recycling and processing site.

[0094] This represents the transportation cost of moving construction waste units from the recycling and processing site to the target usage site;

[0095] Both transportation costs are calculated as distance multiplied by unit transportation cost;

[0096] This represents the storage cost required from the estimated dismantling time to the target usage time, where the target usage time is derived from the recycling task and the estimated dismantling time is derived from the lifecycle information model; it is calculated based on the required storage time and the storage price per unit time (including yard fees, protection fees, management fees, etc.).

[0097] For construction waste that is determined to be recyclable, the recommended task path will be based on The ranking of the tasks, combined with factors such as task sufficiency, transportation radius, and priority tags for recycling tasks (e.g., municipal / emergency tasks), is used to form a final recycling priority score table as the recycling task suitability assessment result for use in recycling scheduling plans.

[0098] For each unit of construction waste, the system automatically selects either its own processing plant or a third-party processing plant for processing, based on the availability of resources for the recycling task. This automatic selection process includes: obtaining the total idle time of the own processing plant before the target usage time of the recycling task. ; Calculate the paths for owned processing plants and third-party processing plants respectively. If the owned processing plant has schedulable idle time before the target usage time, and its At the same time, it is below the usage cost threshold. and third-party processing plant path If so, choose our own processing plant; otherwise, choose... The lowest-level third-party processing plant handles the processing.

[0099] The usage cost threshold Calculated using the following formula:

[0100] ,in This is a time adjustment coefficient, calculated based on idle time and task slack, used to adjust the time pressure of the company's own processing plant based on idle time and task slack. Based on processing costs, This is the minimum profit margin set.

[0101] The time control coefficient is calculated as follows: ,in, These are set limit parameters used to adjust the influence of the time control coefficient; they are obtained through historical data fitting or set based on expert experience. Total idle time of the owned processing plant This refers to the maximum idle time of the owned processing plant within its maximum schedulable period. Use time for the target For the current time, This is the preset maximum time leeway limit. To account for the idle time of our own processing plant To the extent of the task's flexibility, The weighting parameter is used to adjust the ratio of factory idleness to task availability, and is obtained through fitting historical data or set by expert experience.

[0102] Step S5: Develop a recycling scheduling plan based on the recycling task adaptability assessment results and use it to carry out the recycling operation of construction waste.

[0103] The recovery scheduling plan includes:

[0104] Based on the recycling priority, recommended recycling routes, task slack, and resource availability of all recyclable units, a recycling scheduling plan is formulated, and the recycling operations of construction waste are executed, including transportation, processing, storage, and final disposal. Among these, resource availability is dynamically assessed based on current resource status information, which includes recycling facilities, transport vehicles, processing capacity, and storage capacity.

[0105] A task queue is constructed based on a recycling priority scoring system, and multi-dimensional resource matching parameters are introduced for scheduling optimization. The core steps are as follows:

[0106] All recyclable units were scored and ranked according to the following weighted rules: ,in Scoring is done based on scheduling priority. Set priority levels for tasks. For the corresponding weight parameters, dynamic configuration of user strategies is supported;

[0107] The greedy matching algorithm is used to bind the task to the following resources one by one: the specified means of transportation and route; the corresponding processing plant and processing window; the temporary or long-term storage point; and the deployment destination and scheduling window.

[0108] The output includes a recovery scheduling plan table with task number, scheduling start and end time, corresponding resource nodes, path flow nodes, and total estimated time and cost.

[0109] Perform the following operations according to the recycling schedule:

[0110] Transportation scheduling: Utilize transportation vehicle resources from proprietary or external platforms; arrange loading windows and routes; provide a tracking interface to enable real-time GPS tracking and early warning feedback.

[0111] Processing scheduling: Send processing work orders to the processing plant, including raw material list, target processing specifications, and delivery time nodes; processing tasks are entered into the processing queue according to priority, and the system records the completion status and generates reports.

[0112] Warehouse scheduling: If the target usage time is later than the dismantling time, the system will automatically arrange a temporary storage yard or warehouse to receive the goods; record warehouse entry and exit information, including entry time, storage location number, storage period, safety status, etc.

[0113] Final Deployment: The recycled components are finally placed at the target location or engineering scenario; after deployment, the system updates the life cycle status of the construction waste unit to closed loop.

[0114] All decisions in the scheduling plan are constrained by resource status, and real-time assessment of dynamic availability is achieved through a resource status information database.

[0115] The contents of the resource status information database are shown in the following table:

[0116] Recycling and processing facilities Current operating load, schedulable time window, capacity SCADA system, MES, manual data entry transport vehicles Available vehicle count, load capacity, location information Vehicle dispatching system, GPS platform Processing capacity Processing line idle time, reachable radius, equipment failure rate ERP system, workshop scheduling system Storage capacity Current available area, maximum stacking period Warehouse Management System (WMS)

[0117] Regularly retrieve the latest data and update the resource availability matrix to ensure that scheduling is based on the latest status and to avoid task failure, congestion, or resource waste.

[0118] In the event of the following situations: upstream demolition plans are delayed or advanced; processing resources become unavailable unexpectedly; transportation links are disrupted (e.g., due to weather or construction closures); or project commissioning plans are changed, a scheduling reordering mechanism is used to update task priorities, adjust resource bindings, and record adjustment logs and impact analysis reports.

[0119] Step S6: Throughout the recycling management process, record the status information of each construction waste unit. The status information includes block identification information, life cycle information model reference information, recommended recycling path, recycling scheduling execution information, and actual usage information. The status information is then used to optimize the recycling task matching algorithm and the recycling task evaluation model.

[0120] The process for optimizing the recycling task matching algorithm and the recycling task evaluation model includes:

[0121] The status information of each construction waste unit during the actual recycling process is compared with its recommended recycling path and scheduling execution to identify matching deviations. Based on the matching deviations, the parameters of the recycling task matching algorithm are adjusted, including material property weights, estimated demolition time weights, and target location priorities. At the same time, historical recycling data is used to adaptively correct the estimation parameters of the evaluation values ​​in the recycling task evaluation model to improve the accuracy of the model calculation.

[0122] Block identification information: This is used to record how the unit was decomposed from the original components through clustering and spatial coherence analysis, including the source of the components, block number, and spatial boundary characteristics.

[0123] Lifecycle information model reference information: used to track the design component number, design attributes and version information of the construction waste unit in the original BIM model or lifecycle database, so as to establish a traceable chain from design component to recycling unit.

[0124] Recommended recycling path: The optimal recycling path assigned by the system during the task matching phase, which includes the recommended purpose, processing method, target usage time and location, and the recycling priority assigned by the system.

[0125] Retrieve scheduling execution information: Records generated by the scheduling system during execution, including transportation time, processing plant selection, warehouse usage, and whether scheduling adjustments have occurred.

[0126] Actual usage information: Where, when, and under what task this unit was ultimately used, and whether there were any issues such as replacement, obsolescence, or delays.

[0127] The recommended path is compared with the actual path item by item to automatically identify any discrepancies. Types of discrepancies include:

[0128] Time deviation: If the actual usage time differs significantly from the recommended time, it indicates that the task scheduling is not accurate enough.

[0129] Spatial deviation: If the actual deployment location is inconsistent with the location recommended by the system, it may indicate that the transportation or scheduling route design is poor.

[0130] Path deviation: If the system recommends using the in-house processing plant, but ultimately switches to a third-party processing plant, it indicates a deviation in the assessment of processing resources.

[0131] Purpose deviation: This means that construction waste is used in non-recommended task scenarios, reflecting that the task purpose matching mechanism is not refined enough.

[0132] After identifying these deviations, the task matching algorithm will be adjusted according to the type and frequency of the deviations. For example, when the deployment positions of multiple units frequently deviate, the system will increase the priority weight of the target position in the matching algorithm; when the time deviations of multiple tasks fluctuate significantly, the system will tighten or loosen the tolerance for the expected dismantling time matching.

[0133] For the recovery task assessment model where the assessed value is the net recovery value, the actual costs incurred are compared with the assessed value to identify errors and dynamically update the parameters. This mainly includes three aspects:

[0134] a. If the processing cost is significantly higher than the estimated value, the cost coefficient for this type of processing path will be adjusted upward based on information such as the current project's processing method, equipment type, and processing batches;

[0135] b. If costs surge during transportation, it indicates that the unit price for transportation in that area is outdated, and the transportation costs for that area will be readjusted based on actual mileage and expenses;

[0136] c. For warehousing costs, adjust the unit time cost estimate based on warehousing duration, site usage, and expense records to ensure that subsequent assessments are more in line with the actual situation.

[0137] The revised version will use an exponentially weighted average method for smooth updates, avoiding model fluctuations caused by single anomalous data, while ensuring that the model has sufficient responsiveness to new trends.

[0138] The entire system constructs a closed-loop feedback structure from recommendation to execution to backtracking to optimization. Status information serves as the core connector, supporting the continuous evolution of scheduling logic and evaluation models. The system automatically performs deviation analysis and parameter optimization processes within a set period (such as weekly or monthly), and triggers local optimization actions immediately when the deviation exceeds a threshold.

[0139] Example 2, a full life-cycle construction waste recycling management system, see [link / reference] Figure 1 As shown, it includes the following modules:

[0140] Lifecycle Information Modeling Module: Used to establish a lifecycle information model of construction waste during the architectural engineering design phase, recording the type, material properties, installation location, expected service life, and expected demolition time of building components;

[0141] Unit identification module: used to collect demolition information of building components during the construction or demolition phase, and combine it with the life cycle information model to identify construction waste into units, generate construction waste units, and assign a unique identification number;

[0142] Recycling task matching module: Used to match recycling tasks from the recycling task library based on the material properties of the construction waste unit and the expected demolition time, and to calculate the task leeway.

[0143] The recycling task evaluation module is used to calculate the evaluation value of each construction waste unit under different recycling task paths based on the matched recycling task, determine whether it is feasible to recycle, and recommend recycling paths and priorities; it also includes a processing path decision unit and a cost threshold calculation unit.

[0144] The processing path decision unit is used to automatically select either its own processing plant or a third-party processing plant to process construction waste units based on the availability of tasks and cost constraints.

[0145] The cost threshold calculation unit is used to calculate the usage cost threshold and assist in determining the feasibility of owning a processing plant, including the dynamic calculation of the time control coefficient.

[0146] Recycling scheduling module: Used to formulate recycling scheduling plans based on the recycling priority, recommended routes, task slack and resource availability of construction waste units, and to execute recycling operations such as transportation, processing, storage and final deployment;

[0147] Status recording and optimization module: used to record the status information of each construction waste unit throughout the entire recycling process, and to optimize the recycling task matching algorithm and recycling task evaluation model accordingly.

[0148] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for managing the recycling of construction waste throughout its entire life cycle, characterized in that, include: During the design phase of a building project, a lifecycle information model for construction waste is established to record the component type, material properties, installation location, expected service life, and expected demolition time of each building component. During the construction or demolition phase, information on the demolition of building components is collected, including the source of the components, their actual location coordinates, the demolition sequence, and material properties. Combined with the life cycle information model, the construction waste is divided into units and identified to generate construction waste units. Each construction waste unit is then assigned a unique identification number. For each construction waste unit, based on its corresponding material properties and expected demolition time in the life cycle information model, a recycling task is matched from the recycling task library. The recycling task includes the recycling purpose, processing method, target usage time, and target location. The task leeway is calculated based on the difference between the target usage time of the recycling task and the current time. For each matched recycling task, the evaluation value of the construction waste unit under the corresponding task path is calculated through the recycling task evaluation model, and the recycling task adaptability of the construction waste unit is evaluated based on the evaluation value. A recycling scheduling plan is developed based on the suitability assessment results of the recycling task and used to carry out the recycling operation of construction waste.

2. The method for managing the recycling of construction waste throughout its entire life cycle according to claim 1, characterized in that, The process of identifying construction waste by unit segmentation using a life cycle information model includes: Based on the component type, material properties, installation location, and expected demolition time recorded in the life cycle information model, cluster analysis is performed on building components to form a set of candidate components with similar attributes and expected recycling paths. The set of candidate components is used as the initial block unit, and further combined with the demolition information collected on site, the spatial coherence of the initial block unit is optimized to form construction waste unit. Each construction waste unit is assigned a unique identifier number, and its reference relationship in the life cycle information model is recorded for subsequent recycling task matching and scheduling tracking.

3. The method for managing the recycling of construction waste throughout its entire life cycle according to claim 1, characterized in that, The recycling task evaluation model is a dynamic configuration model that automatically selects different evaluation values ​​based on the processing method of the recycling task, which includes resource utilization, landfill disposal, and temporary storage.

4. The method for managing the recycling of construction waste throughout its entire life cycle according to claim 3, characterized in that, The resource utilization refers to the recycling of construction waste. For each unit of construction waste, the system automatically selects either its own processing plant or a third-party processing plant to recycle and process the construction waste, based on the availability of the recycling task, in order to maximize resource utilization.

5. The method for managing the recycling of construction waste throughout its entire life cycle according to claim 1, characterized in that, The assessment of the recycling task suitability includes: To determine whether a construction waste unit is feasible for recycling, if the evaluation values ​​of all candidate recycling tasks do not meet the recycling adaptability threshold of the corresponding treatment method, the construction waste unit is marked as a non-recyclable unit; otherwise, the recycling task with the highest evaluation value is selected as the recommended recycling path, the construction waste unit is marked as a recyclable unit, and a corresponding recycling priority is assigned.

6. The method for managing the recycling of construction waste throughout its entire life cycle according to claim 1, characterized in that, The recovery scheduling plan includes: Based on the recycling priority, recommended recycling routes, task slack, and resource availability of all recyclable units, a recycling scheduling plan is formulated, and the recycling operations of construction waste are executed, including transportation, processing, storage, and final disposal. Among these, resource availability is dynamically assessed based on current resource status information, which includes recycling facilities, transport vehicles, processing capacity, and storage capacity.

7. The method for managing the recycling of construction waste throughout its entire life cycle according to claim 1, characterized in that, Also includes: Throughout the recycling management process, the status information of each construction waste unit is recorded. This status information includes block identification information, life cycle information model reference information, recommended recycling path, recycling scheduling execution information, and actual usage information. This status information is then used to optimize the recycling task matching algorithm and the recycling task evaluation model.

8. A system for managing the recycling of construction waste throughout its entire life cycle, characterized in that, The system employs a full life-cycle construction waste recycling management method as described in any one of claims 1 to 7, comprising: Lifecycle Information Modeling Module: Used to establish a lifecycle information model of construction waste during the architectural engineering design phase, recording the type, material properties, installation location, expected service life, and expected demolition time of building components; Unit identification module: used to collect demolition information of building components during the construction or demolition phase, and combine it with the life cycle information model to identify construction waste into units, generate construction waste units, and assign a unique identification number; Recycling task matching module: Used to match recycling tasks from the recycling task library based on the material properties of the construction waste unit and the expected demolition time, and to calculate the task leeway. Recycling Task Evaluation Module: Based on the matched recycling task, it calculates the evaluation value of each construction waste unit under different recycling task paths, determines whether it is feasible to recycle, and recommends recycling paths and priorities; Recycling scheduling module: Used to formulate recycling scheduling plans based on the recycling priority, recommended routes, task leeway and resource availability of construction waste units, and to execute recycling operations such as transportation, processing, storage and final deployment; Status recording and optimization module: used to record the status information of each construction waste unit throughout the recycling process, and optimize the recycling task matching algorithm and recycling task evaluation model accordingly.