BIM-based decoration construction scene resource consumption simulation analysis method

Abstract

The invention relates to the technical field of decoration construction management, and discloses a BIM-based decoration construction scene resource consumption simulation analysis method. The method comprises the following steps: firstly, creating a multi-dimensional BIM resource model, and integrating building information model data, real-time construction data flow and historical resource consumption records; identifying resource consumption characteristics through the model, and generating an initial resource allocation strategy set comprising material allocation, equipment scheduling and process priority schemes; receiving a user interaction instruction, and dynamically adjusting the initial strategy set; and finally, executing the adjusted strategy, and updating the multi-dimensional BIM resource model based on a result. Wherein the resource consumption feature comprises construction stage division, resource node dynamic weight calculation and space correlation correction operation. According to the method, by integrating multi-dimensional data and dynamically analyzing a resource consumption rule, real-time optimization of a resource allocation strategy is realized, and the accuracy and flexibility of decoration construction resource management can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of decoration construction management, and in particular to a BIM-based decoration construction scene resource consumption simulation analysis method. Background Art

[0002] In the field of decoration construction, the proper management and control of resource consumption is directly related to construction efficiency and cost control. Traditional resource management methods rely heavily on manual planning and deployment, which is subject to significant subjectivity and lag. During the construction process, the consumption of resources such as materials, equipment, and labor is closely linked to actual on-site conditions, which are often affected by multiple factors such as design changes, weather fluctuations, and process adjustments, presenting dynamic characteristics.

[0003] Existing technologies have incorporated Building Information Modeling (BIM) into some projects for resource management, but these approaches are often limited to the integration and display of static data, making it difficult to dynamically capture and analyze real-time construction data. For example, actual material consumption is out of sync with inventory updates, leading to material shortages or backlogs; equipment scheduling lacks real-time consideration of construction space occupancy, often leading to idle equipment or conflicts; and process priority setting fails to incorporate real-time resource status, resulting in insufficient resource supply for key processes.

[0004] Historical resource consumption records are not effectively integrated with real-time construction data, making it difficult to accurately analyze resource consumption characteristics. This results in a lack of data support for resource allocation strategies and delayed adjustments. These issues collectively lead to low resource utilization, cost overruns, and project delays in decoration construction. A method is needed that can integrate multi-dimensional data, dynamically analyze resource consumption characteristics, and adjust allocation strategies in real time. Summary of the Invention

[0005] The purpose of the present invention is to provide a BIM-based decoration construction scene resource consumption simulation analysis method to solve the problems raised in the above background technology.

[0006] To achieve the above objectives, the present invention provides a BIM-based decoration construction scene resource consumption simulation analysis method, the method comprising:

[0007] Create a multi-dimensional BIM resource model that integrates building information model data, real-time construction data streams, and historical resource consumption records;

[0008] Identify resource consumption characteristics through a multi-dimensional BIM resource model and generate an initial resource allocation strategy set; receive user interaction instructions and dynamically adjust the initial resource allocation strategy set according to the type of user interaction instructions;

[0009] Execute the adjusted resource allocation strategy set and update the multi-dimensional BIM resource model based on the execution results; the resource consumption characteristics include construction phase division, dynamic weight calculation of resource nodes and spatial association correction operations, and the initial resource allocation strategy set includes material allocation plan, equipment scheduling plan and process priority plan.

[0010] Preferably, the specific implementation of creating a multi-dimensional BIM resource model includes: collecting historical construction data, which covers decoration material specifications, construction equipment parameters, labor time records and process connection relationships; extracting multi-attribute features from historical construction data to generate an attribute information library of resource nodes; the attribute information library includes resource type labels, supply rate values, process dependency coefficients, resource idle rates, historical consumption deviation rates and dynamic impact weights; wherein the process dependency coefficients are dynamically assigned based on construction progress constraints, process logical relationships and critical path lengths; the dynamic impact weights are generated by weighting three parts: comparing the historical consumption deviation rate of the resource node with the preset benchmark consumption deviation rate, multiplying it by the consumption deviation adjustment factor, as the historical consumption impact part; dividing the current process dependency coefficient by the average process dependency coefficient, multiplying it by the process criticality adjustment factor, as the current demand impact part; and multiplying the ratio of the resource idle rate to the total resource capacity by the resource utilization adjustment factor, as the resource efficiency impact part.

[0011] Preferably, the spatial association correction operation specifically includes: dividing the construction area units, obtaining the resource node attribute information library of adjacent construction units; generating a spatial interaction correction coefficient based on the shortest material transportation path and spatial functional correlation between construction units; wherein the spatial functional correlation is achieved by matching the dominant process type of adjacent units: if the process type belongs to a preset collaborative process combination, query the process collaborative weight table to obtain the basic association value; otherwise, calculate the process coupling index based on the construction process compatibility rules, and convert it into a functional association value through an exponential mapping function; the spatial interaction correction coefficient acts on the dynamic influence weight of the resource node, so that the attribute information library of the physically adjacent units generates data interaction.

[0012] Preferably, the resource consumption characteristics also include: dividing the stable construction period and the peak construction period according to the construction progress timeline; counting the historical consumption deviation rate average of resource nodes during the stable construction period; capturing the real-time resource idle rate peak during the peak construction period; marking abnormal consumption nodes by comparing the data differences between the two stages: if the resource idle rate during the peak construction period exceeds a preset multiple threshold of the stable period average, it is marked as an inefficient node; if the resource supply rate during the peak construction period is lower than a preset percentage threshold of the stable period average, it is marked as a shortage node; and synchronizing the attribute information library of the abnormal consumption node to the initial resource allocation strategy set.

[0013] Preferably, the generation of the initial resource allocation strategy set specifically includes: generating a material allocation plan for an inefficient node, traversing the resource idle rates of its adjacent nodes, and screening nodes with idle rates higher than a preset threshold as allocation sources; calculating the resource redundancy of the inefficient node, that is, the difference between the current inventory and the preset safety inventory; allocating the allocation amount according to the allocation source priority rule based on the idle capacity and spatial interaction correction coefficient of the allocation source: giving priority to the allocation source with a high spatial interaction correction coefficient; the allocation amount does not exceed the preset upper limit ratio of the idle capacity of the allocation source; generating an equipment scheduling plan for the shortage node, extracting its process dependency coefficient and the associated equipment list; when the process dependency coefficient is higher than the critical value and the equipment utilization rate is overloaded, activating the spare equipment node or extending the construction period.

[0014] Preferably, generating a process priority scheme specifically includes: parsing the logical relationship between processes in a multi-dimensional BIM resource model and constructing a process dependency network; calculating the critical path weight of each node in the network; when multiple processes compete for the same resource node, allocating resources in descending order of the critical path weight: the process with the highest critical path weight obtains immediate resource authorization; the second highest weighted process generates a delayed execution suggestion, which includes the coordinates of the alternative resource node and the buffer time window; and binding the authorization instruction and the delay suggestion to the process priority scheme.

[0015] Preferably, the dynamic adjustment operation includes: if the user interaction instruction type is resource node update, the dynamic impact weight of the affected node is recalculated to trigger the reorganization of the material allocation plan; if the user interaction instruction type is process relationship change, the process dependency network topology is adjusted and the equipment scheduling plan is regenerated; if the user interaction instruction type is manual weight override, the user input value is used to replace the dynamic impact weight, and the process priority plan is synchronously corrected.

[0016] Preferably, the updating of the multi-dimensional BIM resource model includes: collecting the actual allocation completion rate after executing the material allocation plan; recording the equipment activation delay time after executing the equipment scheduling plan; comparing the actual allocation completion rate with the preset target value, and increasing the consumption deviation adjustment factor if the deviation exceeds the tolerance range; comparing the equipment activation delay time with the planned value, and increasing the process criticality adjustment factor if the delay exceeds the limit; and regenerating the dynamic impact weight based on the adjusted adjustment factor.

[0017] Preferably, the method also includes an iterative optimization mechanism: when the change value of the resource idle rate does not reach the expected target, a secondary spatial association correction operation is initiated; the spatial interaction correction coefficient of adjacent construction units is recalculated; and a new round of resource consumption characteristics is executed using the updated spatial interaction correction coefficient until the change value of the resource idle rate enters the preset optimization range.

[0018] Preferably, the construction phase division includes obtaining milestone nodes in the BIM schedule, and dividing the construction period into a baseline period, a fluctuation period, and a closing period based on the milestones; establishing a historical distribution model of resource consumption during the baseline period, and monitoring the consumption rate deviation of each resource node in real time during the fluctuation period. When the consumption rate deviation exceeds a preset fluctuation threshold, an early warning signal is generated and an update of the resource reallocation plan is triggered.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] By creating a multi-dimensional BIM resource model, the building information model data, real-time construction data stream and historical resource consumption records are effectively integrated, breaking the scattered and isolated data situation in traditional resource management, enabling various types of data to be interconnected and complementary, providing a comprehensive and systematic data foundation for the identification of resource consumption characteristics.

[0021] In terms of identifying resource consumption characteristics, it covers the division of construction stages, dynamic weight calculation of resource nodes, and spatial correlation correction operations. It can analyze resource consumption patterns from multiple perspectives such as time, resource importance, and spatial relationships. Compared with traditional analysis methods that only rely on a single dimension, it can more accurately grasp the core characteristics of resource consumption and provide a scientific basis for the generation of subsequent resource allocation strategies.

[0022] The initial resource allocation strategy set includes material allocation plans, equipment scheduling plans, and process priority plans, covering the deployment of key resources in decoration construction and ensuring comprehensive resource allocation. Furthermore, dynamic adjustments to the initial strategy set are made based on user interaction commands, enabling resource allocation to flexibly respond to actual changes in on-site needs, avoiding the drawbacks of traditional fixed strategies that are difficult to adapt to the dynamic nature of construction.

[0023] By implementing the adjusted strategy and updating the multi-dimensional BIM resource model based on the results, a closed-loop dynamic optimization process is formed. As construction progresses, the model continuously absorbs new execution data, continuously optimizing the accuracy of resource consumption feature identification and the applicability of resource allocation strategies. This allows resource management to evolve synchronously with the construction process, gradually improving the rationality of resource allocation. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a working principle diagram of the BIM-based decoration construction scene resource consumption simulation analysis method of the present invention;

[0025] Figure 2 Flowchart for spatial association correction operation;

[0026] Figure 3 Flowchart marked for abnormal consumption nodes;

[0027] Figure 4 Flowchart generated for the process priority scheme;

[0028] Figure 5 Flowchart updated for multi-dimensional BIM resource models. DETAILED DESCRIPTION

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0030] See also Figure 1 The present invention provides a BIM-based decoration construction scene resource consumption simulation analysis method, the method comprising:

[0031] By constructing a multi-dimensional BIM resource model, combined with resource consumption feature identification, initial strategy generation, dynamic adjustment and model update, accurate simulation analysis of resource consumption in decoration construction scenarios can be achieved.

[0032] When creating a multidimensional BIM resource model, building information model data, real-time construction data streams, and historical resource consumption records are integrated to form a data foundation covering the entire resource lifecycle. This model identifies resource consumption characteristics, including construction phase division, dynamic weight calculation of resource nodes, and spatial association correction operations. Based on this, an initial set of resource allocation strategies is generated, including material allocation plans, equipment scheduling plans, and process priority plans. After receiving user interaction instructions, the initial set of strategies is dynamically adjusted based on the instruction type, and the adjusted strategies are then put into execution. Based on the execution results, the multidimensional BIM resource model is updated in reverse order, forming a closed-loop analysis mechanism.

[0033] Example 1: See Figure 2When creating a multi-dimensional BIM resource model, it is necessary to systematically collect historical construction data. This data covers various specifications of decorative materials, including the physical dimensions, material composition, unit area usage, storage conditions, etc.; detailed parameters of construction equipment, including equipment model, rated power, operating efficiency range, maintenance cycle, applicable working environment, etc.; complete records of man-hours, including the number of participants in each process, the effective working hours per person per day, the distribution of working hours for personnel of different skill levels, etc.; and specific information on the connection between processes, such as the name of the predecessor process, the name of the subsequent process, the number of parallel processes and the association method, the preparation time required for process conversion, etc. Multi-attribute feature extraction is performed on the collected historical construction data, outliers are removed through data cleaning, key features are extracted using classification, aggregation and other methods, and an attribute information library for resource nodes is constructed. The attribute information database contains information of multiple dimensions, among which the resource type label is used to clearly distinguish the categories of resources. For example, decorative materials can be subdivided into stone, wood, paint, etc., equipment can be divided into cutting equipment, installation equipment, transportation equipment, etc., and labor can be divided into carpenters, electricians, painters, etc.; the supply rate value reflects the quantity or capacity that a resource can provide per unit time, such as the supply rate of a certain type of transportation equipment is 5 trips per day, and the supply rate of a certain type of worker is 8 square meters of wall treatment per person per day; the process dependency coefficient is dynamically assigned according to the time constraints of the construction progress, the logical sequence between processes, and the length of the critical path. When a process is on the critical path and has a greater impact on subsequent processes, the corresponding resource node process dependency coefficient is higher. If the process is on a non-critical path and has a large adjustment space, the coefficient is lower; the resource idle rate records the time when the resource is not idle within a certain period of time. The proportion of equipment being used. For example, if a certain equipment is not put into use for 2 days in a week, its idle rate is 2 / 7; the historical consumption deviation rate calculates the difference between actual consumption and planned consumption. For example, if it is planned to use 100 square meters of panels and actually use 110 square meters, the deviation rate is 10%; the dynamic impact weight is generated by weighting three parts. The first part is the historical consumption impact part, which is obtained by comparing the historical consumption deviation rate of the resource node with the preset benchmark consumption deviation rate, and then multiplying it by the consumption deviation adjustment factor; the second part is the current demand impact part, which is obtained by dividing the current process dependency coefficient by the average process dependency coefficient of all processes, and multiplying the result by the process criticality adjustment factor; the third part is the resource efficiency impact part, which is the ratio of the resource idle rate to the total resource capacity of the resource multiplied by the resource utilization adjustment factor. The results of the three parts are added according to the preset weight ratio to obtain the dynamic impact weight.

[0034] The spatial association correction operation first requires the division of the construction area into units. The division can be based on the physical structure of the building, functional zoning, and construction organization arrangements. For example, it can be divided into multiple units by floor, and each floor can be divided into smaller units by room type or construction flow section to ensure that the construction content in each unit is relatively independent and the flow of resources is consistent. After the division is completed, the resource node attribute information library of each construction unit is collected, and the attribute information of adjacent construction units is obtained. Based on the spatial relationship between construction units, the shortest material transportation path is calculated. Through the three-dimensional coordinate system in the BIM model, the possible transportation route of materials from one unit to the adjacent unit is simulated, and the path with the shortest distance or the least time is selected as the benchmark. At the same time, the spatial functional correlation is calculated. This correlation is determined by matching the dominant process type of adjacent units. The dominant process is the process that occupies the most resources or has the greatest impact on the overall progress of the unit during a specific stage. If the leading processes of two adjacent units belong to a pre-defined collaborative process combination, such as ceiling installation and lighting installation, or wall plastering and painting, the pre-defined process collaboration weight table is directly queried to obtain the corresponding basic correlation value. If they do not belong to a collaborative process combination, the process coupling index is calculated based on construction process compatibility rules. These rules include the degree of material sharing between processes, the frequency of cross-operation between personnel, and the sharing of construction equipment. These factors are quantified and integrated to form a coupling index, which is then converted into a functional correlation value between 0 and 1 using an exponential mapping function. A spatial interaction correction coefficient is generated by combining the shortest material transportation path and spatial functional correlation. The shorter the path and the higher the correlation, the larger the correction coefficient. The spatial interaction correction coefficient is applied to the dynamic influence weight of resource nodes, enabling data interaction between the attribute information databases of physically adjacent construction units. For example, when the resource idle rate of one unit changes, the correction coefficient affects the dynamic influence weight calculation of the adjacent unit, which in turn affects the generation of resource allocation strategies, ensuring coordinated resource utilization between adjacent units and reducing resource waste and transportation costs.

[0035] Example 2: See Figure 3 In the process of identifying resource consumption characteristics, it is important to divide the construction period into stable and peak construction periods according to the construction schedule. The stable construction period usually refers to the stage in the construction process where each process is carried out in an orderly manner according to plan, and the resource demand and consumption rate are relatively stable. During this stage, the usage frequency and consumption quantity of each resource node fluctuate little, and the construction organization and management are in a normal state. The peak construction period refers to the stage where multiple key processes are concentrated and resource demand increases significantly. Factors such as cross-process operation, the need to rush work, or the concentrated investment of materials and equipment may lead to a significant increase in resource consumption intensity, and the load on each resource node is significantly increased.

[0036] During the stable construction period, the average historical consumption deviation rate of each resource node is continuously calculated. Specifically, for each resource node, the difference between its actual consumption and planned consumption during the stable period is recorded, the deviation rate is calculated for each time, and then all deviation rates are accumulated and the arithmetic mean is taken to reflect the consumption deviation pattern of the resource node under stable conditions. During the peak construction period, the peak value of the resource idle rate is captured through the real-time monitoring system, that is, the maximum proportion of resources in an unused state during this period. This peak value can intuitively reflect the changes in resource utilization efficiency under high-load conditions.

[0037] By comparing the data differences between the stable construction period and the peak construction period, abnormal consumption nodes are marked. When the resource idle rate during the peak construction period exceeds the preset multiple threshold of the stable period average, the node is marked as an inefficient node, indicating that it is not effectively utilized during the peak resource demand period and there is idle waste. When the resource supply rate during the peak construction period is lower than the preset percentage threshold of the stable period average, the node is marked as a shortage node, which means that it cannot meet construction needs during the high demand phase and may cause process delays. After marking is completed, the attribute information library of these abnormal consumption nodes is synchronized to the initial resource allocation strategy set, so that the strategy generation process can deal with the problems of these nodes in a targeted manner.

[0038] When generating the initial resource allocation strategy set, a material allocation plan is created for inefficient nodes. First, all neighboring nodes of the inefficient node are traversed. By querying the resource idle rate data for each neighboring node, nodes with idle rates above a preset threshold are selected as potential allocation sources. Simultaneously, the resource redundancy of the inefficient node is calculated: the difference between the node's current actual inventory and the preset safety stock. If the current inventory is lower than the safety stock, the redundancy is negative, indicating that external resources are needed. When determining allocation sources and allocation amounts, allocation is made according to the allocation source's idle capacity and spatial interaction correction coefficient, using a source priority rule. Allocation sources with high spatial interaction correction coefficients are prioritized, as these sources are typically more spatially connected to the inefficient node and thus more efficient in resource allocation. Furthermore, the allocation amount of each allocation source does not exceed a preset upper limit of its idle capacity to ensure that the source has sufficient resources to meet its internal needs and avoid new resource shortages caused by excessive allocation.

[0039] When generating an equipment scheduling plan for a shortage node, the process dependency coefficient and associated equipment list for that node are first extracted. The process dependency coefficient reflects the node's reliance on the relevant equipment, while the associated equipment list lists all equipment types and quantities available for that node's process. When the process dependency coefficient exceeds a critical value and the equipment utilization rate exceeds the full load threshold, the equipment scheduling mechanism is activated. First, standby equipment nodes are activated, and standby equipment on standby is called into service. This standby equipment may be temporarily rented or temporarily deployed from other low-priority processes. Second, the construction period can be extended by increasing daily operating hours or adjusting work shifts to distribute equipment usage and alleviate resource constraints. Through these measures, the equipment resource supply at the shortage node can meet peak construction demand, ensuring the smooth progress of the process. Throughout this process, all generated plans are based on real-time data and historical records from the multi-dimensional BIM resource model, ensuring feasibility and targetedness.

[0040] Example 3: See Figure 4 To generate a process priority plan, the logical relationships between processes stored in the multidimensional BIM resource model must be analyzed. These relationships cover the prerequisites for each process, subsequent processes, and the association rules for parallel processes. By sorting out these relationships, a process dependency network is constructed, with processes as nodes and dependency relationships as edges. In this network, each node represents a specific construction process, and the edges between nodes represent the precedence constraints or resource sharing relationships between processes.

[0041] After the construction is completed, the critical path weight of each node in the network is calculated. The calculation of the critical path weight needs to take into account multiple factors, including the position of the process on the critical path, the planned duration of the process, the impact of the process delay on the overall construction period, and the scarcity of the resources required for the process. The calculation formula of the critical path weight is:

[0042]

[0043] Where, represents the critical path weight; Indicates the planned duration of the operation; It represents the process delay impact index, which is determined by the position of the process in the network. The process on the critical path has a higher index value. It represents the resource scarcity coefficient, reflecting the degree of resource scarcity required for the process; 、 、 They are the weight coefficients of the above three factors, and their values ​​are set according to the specific characteristics of the construction project.

[0044] When multiple processes compete for the same resource node at the same time, resources are allocated in order of the critical path weight of each process from high to low. The process with the highest critical path weight will obtain immediate resource authorization and can occupy the resource node first to perform operations. For the process with the second highest critical path weight, the system will automatically generate a delayed execution suggestion. The suggestion includes alternative resource node coordinates, which are obtained through the spatial positioning function of the BIM model and are accurate to the specific construction area and location; it also includes a buffer time window, which clearly specifies the recommended delayed start time and the latest time it must start, to ensure that the process does not have a serious impact on subsequent processes. Bind the resource authorization instructions with the delayed execution suggestions to form a complete process priority plan. The plan will also indicate the resource usage period and usage limit for each process to avoid resource conflicts.

[0045] Dynamic adjustment operations require appropriate processing based on the different types of user interaction instructions. If the user interaction instruction is a resource node update, such as a change in the inventory of a certain material or a change in the operating status of a certain device from normal to faulty, the system will immediately recalculate the dynamic impact weights of all associated nodes affected by this node. Associated nodes include the resource nodes corresponding to the processes that depend on this resource node, as well as adjacent nodes that have a spatial interaction relationship with this node. After the dynamic impact weights are recalculated, the reorganization of the material allocation plan will be triggered, the appropriate allocation sources will be re-screened, the allocation ratio of the allocation quantity will be adjusted, and the allocation time plan will be updated.

[0046] If the user interaction instruction involves a change in the process relationship, such as adding a decoration process, deleting a redundant process, or adjusting the order of two processes, the system will adjust the topology of the process dependency network accordingly. Topological adjustments include adding or removing nodes, changing the connections between nodes, and updating edge weights. Once the network structure is adjusted, the equipment scheduling plan is regenerated, reallocating equipment resources based on the new process relationships, adjusting the equipment's activation time and usage duration, and ensuring that the equipment configuration is compatible with the new process flow.

[0047] If the user interaction instruction is a manual weight override, meaning the user directly enters a dynamic impact weight value for a resource node, the system immediately replaces the original dynamic impact weight calculation result with this input value. Simultaneously, the process priority scheme is revised, the critical path weights of each process are recalculated based on the new dynamic impact weights, the resource allocation priority order is adjusted, and resource authorization instructions and delayed execution suggestions are updated to reflect the user's subjective adjustment to resource importance. This entire dynamic adjustment process is fed back into the multi-dimensional BIM resource model in real time, ensuring that the model data is consistent with the actual operation instructions.

[0048] Example 4: See Figure 5When updating a multi-dimensional BIM resource model, it's necessary to collect actual material allocation completion information after the material allocation plan is executed. For example, in an office building renovation project, 200 fireproof panels were planned to be allocated from the material warehouse to the 5th-floor construction area, but 185 panels were actually delivered. The actual allocation completion rate is 185 to 200. After the equipment scheduling plan is executed, the time difference between equipment activations is recorded. For example, if a multi-function sander is scheduled to start at 2:00 PM but actually starts at 2:15 PM, this 15-minute delay represents the equipment activation delay.

[0049] Compare the actual allocation completion rate with the preset target value. Assume that the target value is set to 90%, and define a tolerance range. When the actual allocation completion rate is 88%, the gap with the target value is within the tolerance range, and the consumption deviation adjustment factor remains unchanged; if the actual allocation completion rate is 75%, the gap exceeds the tolerance range, and the consumption deviation adjustment factor is adjusted. This adjustment will cause the proportion of historical consumption impact in the dynamic impact weight to change. For the equipment activation delay time, a planned value is also set. If the actual delay time exceeds the planned value, such as the planned delay is no more than 10 minutes, but the actual delay is 25 minutes, the process criticality adjustment factor is adjusted, thereby changing the proportion of the current demand impact in the dynamic impact weight. Based on the adjusted adjustment factor, the dynamic impact weights of all resource nodes are recalculated to achieve the update of the multi-dimensional BIM resource model.

[0050] The iterative optimization mechanism is activated when the change value of the resource idle rate does not reach the expected target. The change value of the resource idle rate refers to the difference in idle rates of the same resource node before and after the resource allocation strategy is executed. For example, the idle rate of a batch of latex paint spraying equipment was 28% before the strategy was executed and 23% after the execution, with a change value of 5%. If the preset optimization threshold is 7%, and 5% is less than 7% at this time, the secondary spatial association correction operation is initiated. When recalculating the spatial interaction correction coefficients of adjacent construction units, it is necessary to check whether the shortest material transportation path between construction units has changed, such as the shortening of the transportation path due to the addition of a temporary construction channel; at the same time, re-evaluate the spatial functional correlation. If the dominant process of the adjacent units changes from wall painting and circuit modification to wall painting and lamp installation, the functional correlation value needs to be re-determined.

[0051] Use the updated spatial interaction correction coefficient to re-start the resource consumption feature identification work. Recalculate the dynamic weight of each resource node. For example, the dynamic impact weight of a certain model of tile cutting machine may increase due to the adjustment of the spatial interaction correction coefficient; re-mark abnormal consumption nodes. Nodes that were originally marked as shortages due to insufficient supply rate may no longer meet the shortage node standards after correction. Based on the newly identified resource consumption characteristics, generate a new set of initial resource allocation strategies, execute again, and calculate the change in resource idle rate. If after the second execution, the idle rate of latex paint spraying equipment drops from 23% to 15%, and the change value is 8%, reaching the preset optimization range, the iteration is stopped; if the change value is still not reached, repeat the above process. The following is a record of the iterative optimization of some resource nodes in a shopping mall decoration project.

[0052] Table 1: Record of iterative optimization of some resource nodes in a shopping mall decoration project.

[0053]

[0054] Throughout the entire process, each adjustment is based on actual collected data, and through continuous iteration and revision, the resource allocation strategy is more closely aligned with actual construction needs. For example, if the idle rate change of a tile cutter still does not meet expectations after the second adjustment, the spatial correlation correction will be activated again, recalculating the spatial interaction correction coefficient between the tile cutter and adjacent construction units. It may be found that the spatial functional correlation between the equipment and adjacent units has decreased due to the process adjustment of a certain construction unit. The dynamic impact weight will be adjusted accordingly, and the resource allocation strategy will be regenerated and executed until the idle rate change value enters the optimized range.

[0055] Example 5: Construction phase division begins by extracting milestones from the BIM schedule. These milestones represent significant milestones in the construction process, such as the completion of lobby ceiling joist installation, acceptance of guest room wall surface treatment, and commencement of corridor floor tile laying in a hotel decoration project. Using these milestones as demarcation points, the entire decoration construction cycle is divided into three phases: a baseline period, a fluctuation period, and a final period.

[0056] The baseline period typically corresponds to the initial stages of construction, when site preparation, material delivery planning, and basic processes such as wall leveling and floor cleaning are primarily carried out. During the baseline period, each process proceeds step-by-step, and resource consumption is relatively stable with minimal fluctuations. During this phase, a historical distribution model of resource consumption is constructed by continuously recording consumption data for each resource node, such as the daily amount of cement used, the amount of sandpaper, and the duration of electrical tool use. This model compiles consumption records of the same resource over different time periods to reveal its consumption patterns. For example, the daily consumption of a certain type of paint during the baseline period is concentrated within a certain range, forming a distribution pattern.

[0057] As construction progresses, it enters a period of fluctuation. This phase often involves multiple processes running concurrently, such as painting walls, installing doors and windows, and wiring in guest rooms. Resource demand is diverse and fluctuates significantly. During this period, the consumption rate deviation of each resource node is monitored in real time. The consumption rate deviation is calculated by comparing the current resource consumption rate with the average consumption rate of the resource during the baseline period. For example, if a certain type of woodworking saw was used an average of 4 hours per day during the baseline period, but 7 hours on a particular day during the fluctuation period, the deviation is calculated by calculating the difference between the two. When the consumption rate deviation of a resource node exceeds the preset fluctuation threshold, the system automatically generates an early warning signal. The warning signal clearly indicates the resource type, current consumption rate, deviation value, and the construction area involved, and triggers an update to the resource reallocation plan. This update involves reassessing the resource supply, adjusting its allocation ratio among the various processes, or coordinating alternative resources to alleviate the imbalance between supply and demand.

[0058] The final phase of construction, the finishing phase, primarily involves defect repair, cleaning and tidying, inventorying remaining materials, and equipment recycling. Resource consumption gradually decreases during this phase, primarily focusing on materials and small tools required for minor repairs. During this phase, resource utilization must continue to be rationally planned based on the historical resource consumption distribution model established earlier and monitoring data from the fluctuation period. For example, based on putty consumption recorded during the baseline and fluctuation periods, the amount needed for finishing repairs can be estimated to avoid wasteful over-purchasing. Appropriate maintenance can be arranged based on the frequency of use and wear of power tools during the initial phase to ensure their proper functioning during the finishing phase.

[0059] Throughout the division and management of construction phases, the BIM model provides data support and visual presentation. By associating the resource consumption data of each phase with the spatial information and process information in the BIM model, the resource usage in different phases and areas can be viewed intuitively. For example, during a period of fluctuation, the BIM model can be used to quickly locate construction areas where resource consumption deviations exceed the standard. Combined with the process progress of the area, the cause of the deviation can be analyzed to provide a specific basis for updating the resource reallocation plan. The division of each phase is not absolutely isolated. There is a transition period between adjacent stages. During the transition period, the resource management strategy will be gradually adjusted to adapt to the changes in resource demand brought about by the phase transition, ensuring that resource usage throughout the entire decoration construction process is always under control.

[0060] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0061] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. The resource consumption simulation analysis method for decoration construction scenes based on BIM is characterized by: The following steps are involved: Create a multi-dimensional BIM resource model that integrates building information model data, real-time construction data streams, and historical resource consumption records; Identify resource consumption characteristics through a multi-dimensional BIM resource model and generate an initial resource allocation strategy set; receive user interaction instructions and dynamically adjust the initial resource allocation strategy set according to the type of user interaction instructions; Execute the adjusted resource allocation strategy set and update the multi-dimensional BIM resource model based on the execution results; the resource consumption characteristics include construction phase division, dynamic weight calculation of resource nodes and spatial association correction operations, and the initial resource allocation strategy set includes material allocation plan, equipment scheduling plan and process priority plan.

2. The BIM-based decoration construction scene resource consumption simulation analysis method according to claim 1 is characterized by: The specific implementation of creating a multi-dimensional BIM resource model includes: collecting historical construction data, which covers decoration material specifications, construction equipment parameters, labor time records and process connection relationships; extracting multi-attribute features from historical construction data to generate an attribute information library of resource nodes; the attribute information library includes resource type labels, supply rate values, process dependency coefficients, resource idle rates, historical consumption deviation rates and dynamic impact weights; wherein the process dependency coefficients are dynamically assigned based on construction progress constraints, process logical relationships and critical path lengths; the dynamic impact weights are generated by weighting three parts: comparing the historical consumption deviation rate of the resource node with the preset benchmark consumption deviation rate, multiplying it by the consumption deviation adjustment factor, as the historical consumption impact part; dividing the current process dependency coefficient by the average process dependency coefficient, multiplying it by the process criticality adjustment factor, as the current demand impact part; and multiplying the ratio of the resource idle rate to the total resource capacity by the resource utilization adjustment factor, as the resource efficiency impact part.

3. The BIM-based decoration construction scene resource consumption simulation analysis method according to claim 2 is characterized by: The spatial association correction operation specifically includes: dividing the construction area units, obtaining the resource node attribute information library of adjacent construction units; generating a spatial interaction correction coefficient based on the shortest material transportation path and spatial functional correlation between construction units; wherein the spatial functional correlation is achieved by matching the dominant process types of adjacent units: if the process type belongs to a preset collaborative process combination, querying the process collaborative weight table to obtain the basic association value; otherwise, calculating the process coupling index based on the construction process compatibility rules, and converting it into a functional association value through an exponential mapping function; the spatial interaction correction coefficient acts on the dynamic influence weight of the resource node, causing the attribute information library of physically adjacent units to generate data interaction.

4. The BIM-based decoration construction scene resource consumption simulation analysis method according to claim 3 is characterized by: The resource consumption characteristics also include: dividing the stable construction period and the peak construction period according to the construction progress timeline; calculating the average historical consumption deviation rate of resource nodes during the stable construction period; capturing the peak value of the real-time resource idle rate during the peak construction period; marking abnormal consumption nodes by comparing the data differences between the two stages: if the resource idle rate during the peak construction period exceeds a preset multiple threshold of the stable period average, it is marked as an inefficient node; if the resource supply rate during the peak construction period is lower than a preset percentage threshold of the stable period average, it is marked as a shortage node; and synchronizing the attribute information library of the abnormal consumption node to the initial resource allocation strategy set.

5. The BIM-based decoration construction scene resource consumption simulation analysis method according to claim 4 is characterized by: The generation of the initial resource allocation strategy set specifically includes: generating a material allocation plan for an inefficient node, traversing the resource idle rates of its adjacent nodes, and screening nodes with idle rates higher than a preset threshold as allocation sources; calculating the resource redundancy of the inefficient node, that is, the difference between the current inventory and the preset safety inventory; allocating the allocation amount according to the allocation source priority rule based on the idle capacity and spatial interaction correction coefficient of the allocation source: giving priority to allocation sources with a high spatial interaction correction coefficient; the allocation amount does not exceed a preset upper limit ratio of the idle capacity of the allocation source; generating an equipment scheduling plan for the shortage node, extracting its process dependency coefficient and a list of related equipment; when the process dependency coefficient is higher than the critical value and the equipment utilization rate is overloaded, activating a spare equipment node or extending the construction period.

6. The BIM-based decoration construction scene resource consumption simulation analysis method according to claim 5 is characterized by: Generating a process priority scheme specifically includes: parsing the logical relationship between processes in a multi-dimensional BIM resource model and constructing a process dependency network; calculating the critical path weight of each node in the network; when multiple processes compete for the same resource node, allocating resources in descending order of the critical path weight: the process with the highest critical path weight obtains immediate resource authorization; the process with the second highest weight generates a delayed execution suggestion, which includes the coordinates of the alternative resource node and the buffer time window; and binding the authorization instruction and the delay suggestion to the process priority scheme.

7. The BIM-based decoration construction scene resource consumption simulation analysis method according to claim 6 is characterized by: The dynamic adjustment operation includes: if the user interaction instruction type is resource node update, the dynamic impact weight of the affected node is recalculated to trigger the reorganization of the material allocation plan; if the user interaction instruction type is process relationship change, the process dependency network topology is adjusted and the equipment scheduling plan is regenerated; if the user interaction instruction type is manual weight override, the user input value is used to replace the dynamic impact weight, and the process priority plan is synchronously corrected.

8. The BIM-based decoration construction scene resource consumption simulation analysis method according to claim 7 is characterized by: The updating of the multi-dimensional BIM resource model includes: collecting the actual allocation completion rate after executing the material allocation plan; recording the equipment activation delay time after executing the equipment scheduling plan; comparing the actual allocation completion rate with the preset target value, and increasing the consumption deviation adjustment factor if the deviation exceeds the tolerance range; comparing the equipment activation delay time with the planned value, and increasing the process criticality adjustment factor if the delay exceeds the limit; and regenerating the dynamic impact weight based on the adjusted adjustment factor.

9. The BIM-based decoration construction scene resource consumption simulation analysis method according to claim 8 is characterized by: It also includes an iterative optimization mechanism: when the change in the resource idle rate does not reach the expected target, a secondary spatial association correction operation is initiated; the spatial interaction correction coefficients of adjacent construction units are recalculated; and a new round of resource consumption characteristics is executed using the updated spatial interaction correction coefficients until the change in the resource idle rate enters the preset optimization range.

10. The BIM-based decoration construction scene resource consumption simulation analysis method according to claim 1 is characterized by: The construction phase division includes obtaining milestone nodes in the BIM schedule, and dividing the construction period into a baseline period, a fluctuation period, and a closing period based on the milestones; establishing a historical distribution model of resource consumption during the baseline period, and monitoring the consumption rate deviation of each resource node in real time during the fluctuation period. When the consumption rate deviation exceeds a preset fluctuation threshold, an early warning signal is generated and an update of the resource reallocation plan is triggered.

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