Building cost estimation method, system, equipment and medium

Abstract

The invention provides a building cost estimation method, system and device and a medium, and relates to the technical field of building engineering, and the method comprises the steps: calculating a similarity index of a first project feature of a to-be-built building and a second project feature of a historical project, and selecting a target historical project with the similarity index greater than a preset index; according to the first building cost of the target historical project, generating a second building cost of the to-be-built building; dividing the building to be built into a plurality of construction links, formulating the standard construction progress of each construction link, obtaining the actual construction progress of each construction link, and calculating the progress deviation; obtaining correlation indexes among the construction links, and generating a progress cumulative influence coefficient according to the correlation indexes; and adjusting the second building cost according to the cumulative influence coefficient, and generating the target building cost of the to-be-built building. The method has the technical effect that the deviation between the cost estimation result and the actual cost is reduced.

Description

Technical Field

[0001] This application relates to the field of building engineering technology, specifically to a method, system, equipment, and medium for estimating building costs. Background Technology

[0002] In construction projects, accurate cost estimation is a crucial foundation for project decision-making, fundraising, and risk control. However, construction projects are characterized by high complexity, long cycles, and numerous influencing factors, making it difficult for traditional cost estimation methods to accurately predict the actual project cost.

[0003] Currently, the primary method for cost estimation is static cost estimation based on historical data. This involves collecting historical cost data from similar projects, matching and adjusting it with project characteristics to obtain the estimated cost of the target project. While this method can provide initial cost predictions at the project's inception, it only yields cost estimates at the project's start. During project implementation, when actual costs deviate from expectations, the method cannot adjust or correct these estimates, leading to significant discrepancies between the estimated and actual costs. Summary of the Invention

[0004] This application provides a method, system, equipment, and medium for estimating construction costs, which reduces the deviation between the estimated cost and the actual cost.

[0005] In a first aspect, this application provides a method for estimating construction costs. The method includes: obtaining a first project characteristic of the building to be constructed; calculating a similarity index between the first project characteristic and a second project characteristic of historical projects in a project database; selecting a target historical project whose similarity index is greater than a preset index; obtaining a first construction cost of the target historical project; generating a second construction cost of the building to be constructed based on the first construction cost; dividing the building to be constructed into multiple construction stages; formulating a standard construction schedule for each construction stage based on the second construction cost; obtaining the actual construction schedule for each construction stage; calculating the schedule deviation between the actual construction schedule and the standard construction schedule; obtaining a correlation index between each construction stage; establishing a schedule transfer network based on the correlation index; iteratively calculating the schedule deviation of each construction stage based on the schedule transfer network; generating a cumulative schedule impact coefficient; wherein the correlation index is used to characterize the degree of schedule impact between adjacent construction stages; and adjusting the second construction cost based on the cumulative impact coefficient to generate a target construction cost of the building to be constructed.

[0006] By adopting the above technical solution and selecting suitable target historical projects through calculating the similarity index of project characteristics, the basic reliability of the initial cost estimate is ensured. By dividing the construction project into multiple construction phases and establishing a schedule transfer network, the process of schedule impact transmission between construction phases is systematically simulated. In particular, by introducing correlation indices and iterative calculation mechanisms, the degree of schedule impact between each phase is accurately quantified, and the initial cost is precisely adjusted using a cumulative impact coefficient. This dynamic cost estimation method that considers the schedule transfer effect significantly improves the accuracy of construction cost estimation and provides a more reliable basis for project management decisions.

[0007] Secondly, this application provides a construction cost estimation system, the system comprising: a first acquisition module, a second acquisition module, a division module, a third acquisition module, and an adjustment module; wherein, the first acquisition module is used to acquire a first project feature of the building to be constructed, calculate a similarity index between the first project feature and a second project feature of historical projects in a project database, and select a target historical project in the historical projects whose similarity index is greater than a preset index; the second acquisition module is used to acquire a first construction cost of the target historical project, and generate a second construction cost of the building to be constructed based on the first construction cost; the division module is used to divide the building to be constructed into multiple construction stages, and adjust the cost based on the first construction cost. The second construction cost is determined by establishing a standard construction schedule for each construction stage, obtaining the actual construction schedule for each construction stage, and calculating the schedule deviation between the actual construction schedule and the standard construction schedule. The third acquisition module is used to acquire the correlation index between each construction stage, establish a schedule transmission network based on the correlation index, and iteratively calculate the schedule deviation of each construction stage based on the schedule transmission network to generate a cumulative schedule impact coefficient. The correlation index is used to characterize the degree of schedule impact between adjacent construction stages. The adjustment module is used to adjust the second construction cost based on the cumulative impact coefficient to generate the target construction cost of the building to be constructed.

[0008] Thirdly, this application provides an electronic device that adopts the following technical solution: it includes a processor, a memory, a user interface, and a network interface. The memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory to enable the electronic device to execute a computer program of any of the above-described construction cost estimation methods.

[0009] Fourthly, this application provides a computer-readable storage medium that stores a computer program capable of being loaded by a processor and executing any of the above-mentioned construction cost estimation methods.

[0010] In summary, this application includes at least one of the following beneficial technical effects: By calculating a similarity index of project characteristics to select suitable target historical projects, the reliability of the initial cost estimate was ensured. By dividing the construction project into multiple construction phases and establishing a schedule transfer network, the transmission process of schedule impacts between construction phases was systematically simulated. In particular, by introducing correlation indices and iterative calculation mechanisms, the degree of schedule impact between each phase was accurately quantified, and the initial cost was precisely adjusted using a cumulative impact coefficient. This dynamic cost estimation method, which considers the schedule transfer effect, significantly improves the accuracy of construction cost estimation and provides a more reliable basis for project management decisions. Attached Figure Description

[0011] Figure 1 This is a flowchart illustrating a construction cost estimation method provided in an embodiment of this application; Figure 2 This is a schematic diagram of a scenario provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of a building cost estimation system provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0012] Explanation of reference numerals in the attached figures: 1000, electronic device; 1001, processor; 1002, communication bus; 1003, user interface; 1004, network interface; 1005, memory. Detailed Implementation

[0013] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0014] In the description of the embodiments in this application, words such as "illustrative," "for example," or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "illustrative," "for example," or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Rather, the use of words such as "illustrative," "for example," or "for example" is intended to present the relevant concepts in a specific manner.

[0015] Figure 1 This is a flowchart illustrating a construction cost estimation method provided in an embodiment of this application. Figure 1 As shown, the method includes S101-S105: S101, obtain the first project feature of the building to be constructed, calculate the similarity index between the first project feature and the second project feature of historical projects in the project database, and select the target historical project whose similarity index is greater than the preset index.

[0016] When estimating the cost of a building under construction, the first step is to obtain its basic characteristics, known as the primary project characteristics. These characteristics include fundamental data such as building type, scale, location, construction difficulty, and material requirements. Building type can be categorized as residential, commercial, or industrial; scale includes specific values ​​such as floor area, number of floors, and height; location includes the project's latitude and longitude coordinates; construction difficulty can be assessed as high, medium, or low based on factors such as geological conditions and climate; and material requirements mainly refer to the specifications and quality standards of the main building materials needed. This information comprehensively reflects the basic attributes of the building under construction, providing a data foundation for subsequent cost estimation.

[0017] To improve the accuracy of cost estimation, this embodiment employs a similar project matching method based on historical data. Specifically, firstly, second project features of historical projects are extracted from the project database. These second project features share the same feature dimensions as the first project features. By calculating the similarity index between the first and second project features, the most similar historical cases to the building to be constructed can be found. The similarity index is calculated using the cosine similarity method of feature vectors. First, the project features are converted into numerical vectors, and each feature parameter is standardized to eliminate the influence of dimensions. Then, the cosine value of the angle between the vectors is calculated as the similarity index. The similarity index ranges from 0 to 1, with values ​​closer to 1 indicating greater similarity in project features.

[0018] In this embodiment, a preset similarity index of 0.8 is set. When the calculated similarity index is greater than 0.8, the corresponding historical project is identified as the target historical project. Target historical projects selected in this way have a high degree of similarity to the building to be constructed in terms of construction conditions and technical requirements, and their historical cost data has strong reference value. This similarity-based project matching method can effectively avoid the bias that may arise from directly applying experience data, improving the scientificity and reliability of cost estimation. In practical applications, if there are no historical projects with a similarity index greater than the preset index, the threshold of the preset index can be appropriately lowered, or the sample range of the project database can be expanded.

[0019] Based on the above embodiments, as an optional implementation, in S101, calculating the similarity index between the first project feature and the second project feature of historical projects in the project database specifically includes S11-S15: S11, extract the building type, building scale, geographical location, construction difficulty and material requirements from the first project features as the first feature vector.

[0020] S12, extract the building type, building scale, geographical location, construction difficulty and material requirements from the second project features as the second feature vector.

[0021] First, key parameters are extracted from the primary project features of the building to be constructed as the first feature vector. These include: building type (e.g., residential as 1, commercial as 2, industrial as 3), building scale (specific values ​​such as building area and number of floors), geographical location (latitude and longitude coordinates), construction difficulty (high difficulty as 3, medium difficulty as 2, low difficulty as 1), and material requirements (divided into 1-5 levels based on material grade). These parameters together constitute a multi-dimensional feature vector that comprehensively reflects the basic characteristics of the construction project. Similarly, parameters of the same dimension are extracted from the secondary project features of historical projects in the project database to construct a second feature vector. For example, the feature vector of a residential project might be represented as [1, 10000, 39.90, 116.40, 2,3], corresponding to its building type, area, latitude, longitude, construction difficulty, and material requirements, respectively.

[0022] S13, standardize the feature parameters in the first and second feature vectors.

[0023] Because the dimensions and value ranges of different feature parameters vary significantly, direct calculation can lead to some parameters with larger values ​​dominating the similarity calculation results. Therefore, it is necessary to standardize the parameters in the feature vector. This embodiment uses the maximum-minimum standardization method to map each parameter to the interval [0,1]. The standardization formula is: x'=(x-xmin) / (xmax-xmin), where x is the original value, xmin and xmax are the minimum and maximum values ​​of the parameter in all samples, respectively, and x' is the standardized value. For example, the building area is transformed from a specific square meter value to a standardized value between 0 and 1, making different parameters comparable.

[0024] S14, calculate the cosine similarity between the first and second eigenvectors after standardization.

[0025] After standardization, the cosine similarity method is used to calculate the similarity between two feature vectors. Cosine similarity measures the similarity between vectors by calculating the cosine of the angle between them. The formula is: cos(θ) = (A·B) / (||A||·||B||), where A and B are the first and second feature vectors after standardization, respectively, A·B represents the dot product, and ||A|| and ||B|| represent the magnitudes of the vectors. The range of cosine similarity is [-1, 1], with values ​​closer to 1 indicating greater similarity. Cosine similarity is chosen because it is insensitive to vector length and focuses primarily on directional differences, making it particularly suitable for calculating the similarity of multi-dimensional features.

[0026] S15. Based on cosine similarity, determine the similarity index of the first item feature and the second item feature.

[0027] Finally, the calculated cosine similarity values ​​are converted into a similarity index through a simple linear mapping. Considering the actual characteristics of architectural projects, the cosine similarity range [-1, 1] is usually mapped to the similarity index range [0, 1]. The conversion formula is: similarity index = (cosine similarity + 1) / 2.

[0028] S102, obtain the first construction cost of the target historical project, and generate the second construction cost of the building to be constructed based on the first construction cost.

[0029] Specifically, this embodiment determines the weighting coefficient of each target historical project based on the aforementioned calculated similarity index. The higher the similarity index, the larger the corresponding weighting coefficient, reflecting the greater reference value of more similar projects. The first construction cost of each target historical project is multiplied by the corresponding weighting coefficient to obtain the basic construction cost. Then, the weighted average of these basic construction costs is calculated as the initial construction cost of the building to be constructed. This weighted averaging method can comprehensively consider the cost data of multiple similar projects, avoiding the randomness that may exist in the data of a single project.

[0030] However, even for historical projects with high similarity, their cost data cannot be directly applied to the building to be constructed. Factors such as differences in project implementation time, region, and scale must be considered. Therefore, this embodiment selects the historical project with the highest similarity index to the building to be constructed as the standard historical project. By comparing the differences between the building to be constructed and the standard historical project in these three dimensions, corresponding adjustment coefficients are determined. The time adjustment coefficient primarily considers the impact of price fluctuations and is determined by calculating the rate of change in the price index corresponding to the difference in project commencement time. The region adjustment coefficient reflects cost differences in different regions and is determined based on the coordinate differences of the project's geographical location, combined with a regional cost difference database. The scale adjustment coefficient is based on the ratio of building area and is calculated using a scale economy effect function to adjust for changes in unit cost caused by different construction scales.

[0031] Multiplying the initial construction cost by time adjustment factors, regional adjustment factors, and scale adjustment factors yields the second construction cost, which has been adjusted in multiple dimensions. This adjustment method considers the main external factors affecting construction costs, making the cost estimate more consistent with the actual situation of the building to be constructed. For example, when the scale of the building to be constructed is significantly larger than that of historical projects, the scale adjustment factor can reflect the unit cost reduction brought about by economies of scale; when there are significant differences in price levels, labor costs, etc., in the project area compared to historical projects, the regional adjustment factor can reasonably reflect the impact of these differences on costs.

[0032] Based on the above embodiments, as an optional implementation, in S102, generating the second construction cost of the building to be constructed according to the first construction cost specifically includes S21-S26: S21, determine the weight coefficients of each target historical item based on the similarity index.

[0033] First, the weighting coefficients for each target historical item are determined based on the similarity index calculated above. The weighting coefficients are calculated using a normalization method for the similarity index, which involves dividing the similarity index of each target historical item by the sum of the similarity indices of all target historical items. For example, if three target historical items have similarity indices of 0.85, 0.82, and 0.81, their corresponding weighting coefficients are 0.343, 0.331, and 0.326, respectively. This weighting method ensures that historical items with higher similarity have greater reference value in cost estimation.

[0034] S22, the first construction cost is weighted and calculated with the corresponding weight coefficient to generate the basic construction cost of each target historical project, the average value of each basic construction cost is calculated, and the initial construction cost of the building to be constructed is generated.

[0035] The basic construction cost is obtained by multiplying the initial construction cost of each target historical project by its corresponding weighting coefficient. For example, if the initial construction cost of a target historical project is 50 million yuan and the weighting coefficient is 0.343, then its basic construction cost is 17.15 million yuan. The weighted average of all basic construction costs is then calculated to obtain the initial construction cost of the building to be constructed. This weighted averaging method can integrate cost information from multiple similar projects, reducing the random impact that may be introduced by data from a single project.

[0036] S23: Obtain the historical project with the highest similarity index to the building to be constructed among the target historical projects, and obtain the standard historical project.

[0037] To further improve the accuracy of cost estimation, a standard historical project with the highest reference value needs to be selected as the adjustment benchmark. By comparing similarity indices, the target historical project with the highest similarity is selected as the standard historical project. The standard historical project will serve as the benchmark for subsequent adjustment coefficient calculations, and the differences between its characteristics and the building to be constructed will directly affect the determination of the adjustment coefficients.

[0038] S24, obtain the time differences, geographical differences, and scale differences between the building to be built and the standard historical project.

[0039] Next, it is necessary to analyze the differences between the proposed building and standard historical projects in three dimensions: time, region, and scale. Time differences refer to the interval between project commencement dates; regional differences are reflected in variations in the economic development level and labor costs of the project's location; and scale differences are reflected in specific indicators such as building area and number of floors. These differences are crucial for determining the adjustment coefficient.

[0040] S25. Determine the time adjustment coefficient based on time differences, the regional adjustment coefficient based on regional differences, and the scale adjustment coefficient based on scale differences.

[0041] Based on the above differences, adjustment coefficients are calculated for the three dimensions. The time adjustment coefficient primarily considers changes in the building materials price index and the labor cost index, calculated using the compound annual growth rate method. For example, if two projects are separated by two years and the average annual price increase rate is 5%, then the time adjustment coefficient is 1.1025. The regional adjustment coefficient is determined based on the construction cost index of each region. If the cost index of the location of the proposed building is 10% higher than that of the location of the standard historical project, then the regional adjustment coefficient is 1.1. The scale adjustment coefficient is calculated using the economies of scale function, which is typically logarithmic and reflects the decreasing trend in unit cost as the building scale increases.

[0042] Based on the above embodiments, as an optional implementation, in S25, determining the time adjustment coefficient based on time differences, determining the regional adjustment coefficient based on regional differences, and determining the scale adjustment coefficient based on scale differences specifically includes S251-S253: S251. Based on the time difference, calculate the time difference between the start of construction of the building to be built and the standard historical project, obtain the price index change rate within the corresponding time period, and determine the time adjustment coefficient based on the price index change rate.

[0043] In calculating the time adjustment factor, the first step is to determine the time difference between the planned construction start date of the new building and the standard historical project. For example, if the new building is scheduled to start in 2025, while the standard historical project started in 2023, the time difference is two years. Next, the price index changes during this period are obtained from a construction cost index database. The price index typically includes sub-indices such as building material price index, labor cost index, and machinery usage fee index, which need to be weighted according to their weights in the project cost. Assuming an average annual price index change rate of 5% over two years, using compound interest, the time adjustment factor is calculated as: (1 + 5%)^2 = 1.1025. This adjustment method based on actual price changes accurately reflects the impact of the time span on construction costs.

[0044] S252, based on regional differences, calculate the geographical coordinate differences between the building to be constructed and the standard historical projects, and determine the corresponding regional cost correction ratio as the regional adjustment coefficient based on the preset regional cost difference database.

[0045] The regional adjustment factor is calculated based on the geographical differences between the project locations. First, the geographical distance between the two projects is calculated using latitude and longitude coordinates. Then, the adjustment factor is determined by combining this information with a regional cost difference database. This database contains information on differences in labor costs, material prices, and management fees across different regions, typically categorized by province or city level. For example, if the building to be constructed is located in a first-tier city, while a standard historical project is located in a second-tier city, the database might show that the overall construction cost in the first-tier city is 15% higher than in the second-tier city; in this case, the regional adjustment factor would be 1.15. This adjustment method, based on geographical location and regional economic development level, effectively reflects cost differences between different regions.

[0046] S253. Based on the scale difference, calculate the ratio of the building area of ​​the building to be constructed to the building area of ​​the standard historical project, and determine the corresponding scale cost correction ratio as the scale adjustment coefficient according to the preset scale economy effect function.

[0047] The calculation of the scale adjustment coefficient needs to consider the non-linear impact of building scale on cost. First, the ratio of the building area to the standard historical project's area is calculated. For example, if the building area is 30,000 square meters and the standard historical project area is 20,000 square meters, the area ratio is 1.5. Then, the adjustment coefficient is determined using the economies of scale function. The economies of scale function is usually in logarithmic form, and its expression can be: Scale adjustment coefficient = 1 - ln(area ratio) × α, where α is an empirical coefficient, usually between 0.05 and 0.15. Assuming α is 0.1, when the area ratio is 1.5, the scale adjustment coefficient is 1 - ln(1.5) × 0.1 ≈ 0.959. This calculation method reflects the economic principle that as the building scale increases, the unit area cost usually decreases appropriately.

[0048] These three adjustment coefficients are calculated using different methods: the time adjustment coefficient focuses on the dynamic changes in costs over time, accurately reflecting market fluctuations through price indices; the regional adjustment coefficient emphasizes the differences in economic development between regions, achieving scientific adjustments through database support; and the scale adjustment coefficient is based on economic principles, describing scale effects through mathematical models. This multi-dimensional adjustment system has strong adaptability and accuracy.

[0049] S26, combining time adjustment coefficient, regional adjustment coefficient and scale adjustment coefficient, corrects the initial construction cost to generate the second construction cost of the building to be constructed.

[0050] Finally, the initial construction cost is multiplied by three adjustment factors to obtain the second construction cost of the building to be constructed. For example, if the initial construction cost is 50 million yuan, the time adjustment factor is 1.1025, the regional adjustment factor is 1.1, and the scale adjustment factor is 0.95, then the second construction cost is 57.8681 million yuan. This final cost estimate takes into account both the reference value of historical projects and the impact of project-specific conditions.

[0051] Based on the above embodiments, as an optional implementation method, in S26, the initial construction cost is corrected by combining the time adjustment coefficient, the regional adjustment coefficient, and the scale adjustment coefficient to generate the second construction cost of the building to be constructed. Specifically, this includes: multiplying the time adjustment coefficient, the regional adjustment coefficient, and the scale adjustment coefficient by the initial construction cost arithmetically to generate the second construction cost of the building to be constructed.

[0052] S103, the building to be constructed is divided into multiple construction stages, the standard construction schedule for each construction stage is determined based on the second construction cost, the actual construction schedule for each construction stage is obtained, and the schedule deviation between the actual construction schedule and the standard construction schedule is calculated.

[0053] Based on the second construction cost, this embodiment employs a quantity analysis method to determine the standard construction schedule for each construction stage. Specifically, the second construction cost is first broken down into various construction stages according to the project budget quota. Then, based on the construction quota and quantity, combined with conventional construction techniques and normal construction conditions, a reasonable construction period for each stage is determined. The standard construction schedule represents the degree of completion that each construction stage should achieve under ideal conditions, usually expressed as a percentage, such as the main structure being 60% complete at a certain time. This cost-based schedule planning method ensures the matching between the schedule plan and the cost budget, avoiding cost deviations due to unreasonable schedule planning.

[0054] During project implementation, the actual construction progress of each stage is obtained through on-site monitoring and progress reports. The actual construction progress reflects the actual completion status of the project and is also expressed as a percentage of completion. The schedule deviation is calculated by comparing the actual construction progress with the standard construction progress. The schedule deviation can be positive or negative; a positive value indicates that the project is ahead of schedule, and a negative value indicates that the project is behind schedule. For example, if the standard construction progress for a certain stage is 40%, while the actual construction progress is 35%, the schedule deviation is -5%, indicating that there is a delay in that stage.

[0055] The importance of this schedule management method lies in the following: First, by dividing the construction project into multiple construction stages, the project progress can be tracked and controlled more meticulously, making it easier to identify and resolve problems in the construction process in a timely manner; second, the establishment of standard construction schedules provides clear objectives and basis for schedule control, helping construction units to rationally allocate construction resources; third, the calculation of schedule deviations can quantitatively reflect the progress of the project, providing data support for subsequent cost adjustments.

[0056] In practical applications, the calculation of schedule deviations needs to consider the characteristics of each construction phase and site conditions. For example, for outdoor construction phases that are significantly affected by weather, the assessment of schedule deviations should take into account the impact of climate factors; for specialized engineering projects with high technical requirements, special attention needs to be paid to the impact of quality control on schedule. Through scientific schedule management, various factors affecting project schedules can be effectively identified, providing a reliable basis for subsequent cost adjustments.

[0057] S104, obtain the correlation index between each construction stage, establish a progress transfer network based on the correlation index, iteratively calculate the progress deviation of each construction stage based on the progress transfer network, and generate the cumulative progress impact coefficient; wherein, the correlation index is used to characterize the degree of progress impact between adjacent construction stages.

[0058] First, it's necessary to obtain the correlation index between each construction stage. The correlation index is a value between 0 and 1, used to quantify the degree of progress impact between adjacent construction stages; a higher value indicates a stronger impact. For example, the correlation index between the main structure and interior decoration might be 0.8, indicating that changes in the main structure's progress will have a strong impact on the interior decoration; while the correlation index between electromechanical installation and external road construction might only be 0.2, indicating a weaker impact on their progress. The determination of the correlation index is based on statistical analysis of engineering experience data and expert evaluation, and needs to consider multiple factors such as the connection between construction techniques, the degree of resource sharing, and the degree of spatial interference.

[0059] Based on the acquired correlation indices, a schedule transmission network reflecting the relationships between construction stages is established. This network can be represented by a directed graph, where nodes represent various construction stages, edges connecting nodes represent the influence relationships between stages, and the weight of the edge is the correlation index. For example, if delays in foundation work affect the construction of the main structure, then there will be an edge in the network pointing from the foundation work node to the main structure node, with the weight of the edge being the correlation index between the two. This network structure can intuitively demonstrate the transmission path and intensity of schedule impacts.

[0060] After establishing the schedule transfer network, it is necessary to iteratively calculate the schedule deviations of each construction stage to obtain the actual impact after considering the chain reaction. The specific calculation process is as follows: First, the initial schedule deviation of each stage is input into the network as the initial impact value; then, based on the correlation index in the network, the direct impact value of each stage on its subsequent stages is calculated. For example, if the foundation project is delayed by 5% and the correlation index is 0.8, the direct impact value on the main structure is 4%; then, these direct impact values ​​are transferred to the subsequent stages and superimposed with the original schedule deviations of the subsequent stages to obtain new target schedule deviation values; this process is repeated until the target schedule deviation values ​​of each stage tend to stabilize (i.e., the difference between two adjacent iterations is less than the preset convergence threshold) or the preset maximum number of iterations is reached.

[0061] The final target schedule deviation value obtained through iterative calculation, compared with the initial schedule deviation, reflects the cumulative impact after considering network propagation effects. The ratio of the final target schedule deviation value to the initial schedule deviation yields the cumulative impact coefficient of each construction stage. This coefficient reflects the actual impact of the schedule deviation after considering all cascading effects. For example, a cumulative impact coefficient of 1.5 for a certain stage indicates that, after considering network effects, the actual impact of that stage is amplified by 50%.

[0062] In construction projects, accurately obtaining the correlation index between construction stages is crucial for assessing the impact on schedule and cost changes. This embodiment provides a correlation index determination scheme that integrates multiple methods and data sources.

[0063] First, it is necessary to collect and analyze a large amount of construction process data from historical engineering projects, including planned progress, actual progress, and reasons for delays at each stage. Statistical analysis of this historical data can provide a preliminary understanding of the correlation between different stages. For example, analysis of 100 similar projects revealed that when foundation work is delayed, approximately 80% of the projects experience a corresponding delay in the main structure construction, and the degree of delay shows a clear correlation, indicating a strong correlation between the two stages.

[0064] Based on historical data analysis, it is necessary to analyze the logical dependencies between each stage in conjunction with the construction process and technical requirements. This includes stages that must be performed sequentially (e.g., the main structure can only be constructed after the foundation is completed), stages that can be performed in parallel (e.g., exterior wall decoration and internal pipeline installation), and stages that can partially overlap (e.g., subsequent stages can begin after a certain percentage of the previous stage is completed). Simultaneously, it is also necessary to assess the degree of resource sharing between different stages, including the sharing of construction equipment (e.g., tower cranes, construction elevators), the degree of overlap in labor resources, the relevance of the material supply chain, and the shared use of the construction site.

[0065] To ensure a more scientific and accurate determination of the correlation index, this scheme establishes a comprehensive calculation model: Correlation Index = w1 × Process Dependence + w2 × Resource Sharing Dependence + w3 × Spatial Interference Dependence + w4 × Schedule Sensitivity. Here, process dependence reflects the continuity requirements of construction technology, resource sharing degree indicates the degree of overlap in resource use, spatial interference degree indicates the degree of mutual influence in construction space, and schedule sensitivity indicates the sensitivity to schedule changes. These sub-indicators all use standardized values ​​of 0-1, and the sum of the weighting coefficients w1 to w4 is 1. The specific values ​​of each sub-indicator are determined through expert evaluation, i.e., experts in the field of construction are organized to score and evaluate, and methods such as the Delphi method are used to summarize and revise expert opinions, ultimately reaching a consensus.

[0066] In practical applications, it is also necessary to consider the specific factors of each project. Differentiated correlation index systems should be established for different types of construction projects (such as residential, commercial, and industrial), different scales (large, medium, and small), different construction difficulties (high, medium, and low), and different climatic conditions (cold, temperate, and hot regions). At the same time, seasonal factors (such as the impact of the rainy season and cold season), local regulations, special requirements of the owner, and limitations imposed by the construction site conditions should also be taken into consideration.

[0067] The correlation index determined by this method has a defined numerical range (between 0 and 1) and directional characteristics (the impact of stage A on stage B may differ from the impact of B on A). To ensure the accuracy of the correlation index, continuous verification and dynamic adjustment are required in actual projects. Pilot projects are selected for actual monitoring, recording the progress changes and mutual influences of each stage, comparing the theoretical correlation index with the actual impact, and correcting and optimizing the correlation index based on the measured results. This feedback and adjustment mechanism ensures that the correlation index system can be continuously improved to better reflect the actual engineering situation.

[0068] Based on the above embodiments, as an optional implementation method, in S104, the iterative calculation of the progress deviation of each construction stage according to the progress transfer network to generate the progress cumulative influence coefficient specifically includes S41-S45: S41, the schedule deviation of each construction stage is used as the initial impact value and input into the schedule transfer network.

[0069] First, the initial schedule deviations for each construction stage need to be input into the established schedule propagation network. These initial schedule deviations may originate from monitoring data during actual construction or anticipated schedule changes. For example, the foundation work may experience a 5% schedule delay, the main structure a 3% advance schedule, and the finishing work a 2% schedule delay. These initial deviations, as the starting points for the propagation of schedule impacts, will be transmitted to subsequent stages through the network structure.

[0070] S42, based on the correlation index of each construction stage in the schedule delivery network, calculate the direct impact value of each construction stage on its subsequent construction stages.

[0071] In the schedule transfer network, the direct impact value is calculated based on the aforementioned correlation index. The formula for calculating the direct impact value is: Direct Impact Value = Initial Schedule Deviation × Correlation Index. For example, if the foundation work is delayed by 5%, and its correlation index with the main structure is 0.8, then the direct impact value of the foundation work on the main structure is 4% (5% × 0.8). This calculation method reflects the attenuation characteristics of schedule impact during the transfer process.

[0072] S43, the direct impact value is passed on to the subsequent construction stage, and the direct impact value is added to the original schedule deviation of the subsequent construction stage to obtain the target schedule deviation value.

[0073] The calculated direct impact value needs to be passed on to the corresponding subsequent stages and added to the original schedule deviations of these stages to obtain a new target schedule deviation value. For example, if the main structure was originally 3% ahead of schedule, but is affected by a 4% delay in the foundation work, then the new target schedule deviation value for the main structure is a 1% delay (-3% + 4%). This superimposed calculation reflects the combined impact of multiple upstream stages on the same downstream stage.

[0074] S44, iteratively execute the calculation of the directly affected value and the generation of the target schedule deviation value until the difference between the target schedule deviation value of each construction stage and the target schedule deviation value of the previous iteration is less than the preset convergence threshold, or the number of iterations reaches the preset number of iterations.

[0075] Because the propagation of schedule impact is a continuous process, multiple rounds of iterative calculations are required. In each iteration, the calculation of the direct impact value and the update of the target schedule deviation value must be repeated. The iterative process continues until the termination conditions are met. There are usually two termination conditions: first, the difference between the target schedule deviation value of each stage and the result of the previous iteration is less than a preset convergence threshold (such as 0.1%), indicating that the impact propagation has become stable; second, the preset maximum number of iterations (such as 20 times) is reached to prevent non-convergence in special cases.

[0076] S45. Based on the ratio of the final target progress deviation value of each construction stage to the corresponding initial influence value after iteration, determine the cumulative progress influence coefficient of each construction stage.

[0077] After the iterative calculations are completed, the cumulative schedule impact coefficient is calculated by comparing the final target schedule deviation value with the initial schedule deviation value of each stage. The calculation formula is: Cumulative schedule impact coefficient = Final target schedule deviation value ÷ Initial schedule deviation. For example, if the initial schedule delay of a certain stage is 2%, and the final target schedule deviation value after multiple iterations is 3%, then its cumulative schedule impact coefficient is 1.5, indicating that the actual schedule impact of this stage has been amplified by 50% after being transmitted through the network.

[0078] S105, adjust the second building cost based on the cumulative impact coefficient to generate the target building cost of the building to be built.

[0079] First, the cost adjustment ratio for each construction stage is calculated based on the cumulative impact coefficient of the schedule. The impact of schedule changes on costs is non-linear; typically, delays lead to increased costs, while earlier schedules may result in cost savings or additional expenses. This embodiment uses an impact coefficient transformation function to determine the cost adjustment ratio, which considers the differentiated impact of the direction and magnitude of schedule changes on costs. For example, when the cumulative impact coefficient of the schedule is 1.2, it indicates that the actual schedule impact has increased by 20%, and the corresponding cost adjustment ratio may be 1.15, meaning the cost needs to be increased by 15%; while when an earlier schedule results in a cumulative impact coefficient of 0.8, the cost adjustment ratio may be 0.9, indicating a cost reduction of 10%.

[0080] Next, the second construction cost needs to be broken down according to the cost composition of each construction stage to obtain the itemized construction cost. This breakdown is based on the project budget quota and cost structure, taking into account complete cost elements such as direct costs and indirect costs. For example, the main structure of a construction project may account for 40% of the total cost, decoration and finishing for 30%, electromechanical installation for 20%, and other supporting works for 10%. Through this breakdown, the weight of each stage in the total cost can be accurately reflected, providing a basis for subsequent refined adjustments.

[0081] Multiplying the individual construction costs of each stage of construction by their corresponding cost adjustment ratio yields the adjusted individual construction costs, taking into account the impact of schedule changes. This process reflects the actual impact of schedule changes on specific cost items. For example, if the individual construction cost of a certain stage is 10 million yuan and the cost adjustment ratio is 1.15, then the adjusted individual construction cost is 11.5 million yuan, with the increase of 1.5 million yuan reflecting the additional cost expenditure caused by schedule changes.

[0082] Finally, the adjusted itemized construction costs of all construction stages are summed to obtain the target construction cost of the building to be constructed. This target construction cost is a more accurate cost estimate derived from the second construction cost, taking into full account the chain reaction and cumulative impact of schedule changes. For example, if the adjusted itemized construction costs of each stage are 11.5 million yuan, 9 million yuan, 6 million yuan, and 3 million yuan respectively, then the target construction cost is 29.5 million yuan.

[0083] Based on the above embodiments, as an optional implementation method, in S105, adjusting the second construction cost according to the cumulative influence coefficient to generate the target construction cost of the building to be constructed specifically includes S51-S54: S51, calculate the cost adjustment ratio for each construction stage based on the cumulative impact coefficient.

[0084] When adjusting costs, the first step is to calculate the cost adjustment ratio for each construction stage based on the cumulative impact coefficient. The calculation of the cost adjustment ratio needs to consider the sensitivity of schedule changes to costs, and a non-linear function is typically used for conversion. For example, the formula for cost adjustment ratio can be (1 + α × ln(cumulative impact coefficient)), where α is the cost sensitivity coefficient, usually between 0.3 and 0.7. This non-linear conversion can better reflect the actual impact of schedule changes on costs. Assuming the cumulative impact coefficient of a certain construction stage is 1.5 and α is 0.5, its cost adjustment ratio is 1.203, indicating that the cost of this stage needs to be increased by 20.3%.

[0085] S52, the second construction cost is decomposed according to the cost proportion of each construction stage to obtain the itemized construction cost of each construction stage.

[0086] To achieve precise cost adjustments, the second construction cost needs to be broken down according to the typical cost proportions of each construction stage. These cost proportions can be obtained from construction engineering quotas or historical project statistics. For example, in a certain type of construction project, foundation work might account for 15% of the total cost, main structure for 45%, decoration for 25%, and equipment installation for 15%. If the second construction cost is 50 million yuan, then the sub-item construction cost for foundation work would be 7.5 million yuan, for main structure for 22.5 million yuan, for decoration for 12.5 million yuan, and for equipment installation for 7.5 million yuan. This breakdown method ensures the targeted and accurate nature of cost adjustments.

[0087] S53 calculates the adjusted construction cost of each construction stage by multiplying the individual construction costs of each stage by the corresponding cost adjustment ratio.

[0088] After obtaining the itemized construction costs, multiply them by the corresponding cost adjustment ratio to calculate the adjusted itemized construction costs. For example, if the cost adjustment ratio for foundation engineering is 1.203, then the adjusted itemized construction cost is 9.0225 million yuan (7.5 million yuan × 1.203). This calculation method takes into account the differentiated impact of schedule changes on the costs of each stage, making the cost adjustment more consistent with the actual situation.

[0089] S54 sums up the adjusted sub-items of construction costs for each construction stage to generate the target construction cost of the building to be constructed.

[0090] Finally, the adjusted construction costs of all individual items are summed to obtain the target construction cost of the building to be constructed. This final cost estimate comprehensively considers the impact of schedule impact transmission on the costs of each construction stage, and can more accurately reflect the actual cost level of the project. For example, if the adjusted construction costs of each individual item are: foundation engineering 9.0225 million yuan, main structure 25.875 million yuan, decoration engineering 14.375 million yuan, and equipment installation 8.475 million yuan, then the target construction cost is 57.7475 million yuan.

[0091] Figure 2 This is a schematic diagram of a scenario provided in an embodiment of this application. For example... Figure 2 As shown in the figure, this method for estimating construction costs based on historical data and schedule network analysis begins with inputting the characteristics of the project to be constructed and ultimately derives the target construction cost through two main steps. The first step is a static preliminary estimation, which primarily processes data from a historical project database. Project characteristics such as building type, scale, and location are used as basic parameters. Suitable reference projects are selected through similarity matching and difference correction, while factors such as time span, regional differences, and scale changes are considered for adjustments, ultimately generating a second construction cost as a preliminary estimation benchmark. The second step is dynamic schedule adjustment, which incorporates the actual construction process. Deviations from the standard schedule are obtained through monitoring actual construction progress, and a schedule transfer network is established to analyze the correlation and impact between construction stages. Influence coefficients are determined through iterative calculations, and finally, targeted adjustments are made to each component cost, including cost impacts from multiple dimensions such as workload, efficiency, and schedule, thus deriving the final target construction cost. This estimation method, from static to dynamic and from coarse to fine, achieves more accurate and reliable construction cost estimation through systematic data processing and network analysis.

[0092] Based on the above method, this application also discloses a building cost estimation system, such as... Figure 3 As shown, Figure 3 This is a schematic diagram of a building cost estimation system provided in an embodiment of this application. The system includes: a first acquisition module, a second acquisition module, a division module, a third acquisition module, and an adjustment module; wherein, The first acquisition module is used to acquire the first project characteristics of the building to be constructed, calculate the similarity index between the first project characteristics and the second project characteristics of historical projects in the project database, and select target historical projects whose similarity index is greater than a preset index. The second acquisition module is used to acquire the first construction cost of the target historical project and generate the second construction cost of the building to be constructed based on the first construction cost. The segmentation module is used to divide the building to be constructed into multiple construction stages, formulate the standard construction schedule for each construction stage based on the second construction cost, acquire the actual construction schedule for each construction stage, and calculate the schedule deviation between the actual construction schedule and the standard construction schedule. The third acquisition module is used to acquire the correlation index between each construction stage, establish a schedule transmission network based on the correlation index, iteratively calculate the schedule deviation of each construction stage based on the schedule transmission network, and generate a schedule cumulative impact coefficient. The correlation index is used to characterize the degree of schedule influence between adjacent construction stages. The adjustment module is used to adjust the second construction cost based on the cumulative impact coefficient to generate the target construction cost of the building to be constructed.

[0093] It should be noted that the system provided in the above embodiments is only illustrated by the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0094] Please see Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 4 As shown, the electronic device 1000 may include: at least one processor 1001, at least one network interface 1004, a user interface 1003, a memory 1005, and at least one communication bus 1002.

[0095] The communication bus 1002 is used to realize the connection and communication between these components.

[0096] The user interface 1003 may include a display screen and a camera. Optionally, the user interface 1003 may also include a standard wired interface and a wireless interface.

[0097] The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0098] The processor 1001 may include one or more processing cores. The processor 1001 connects to various parts of the server using various interfaces and lines, and performs various server functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 1005, and by calling data stored in the memory 1005. Optionally, the processor 1001 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 1001 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content to be displayed on the screen; and the modem handles wireless communication. It is understood that the modem may also not be integrated into the processor 1001 and may be implemented as a separate chip.

[0099] The memory 1005 may include random access memory (RAM) or read-only memory. Optionally, the memory 1005 may include a non-transitory computer-readable storage medium. The memory 1005 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 1005 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 1005 may also be at least one storage device located remotely from the aforementioned processor 1001. Figure 4 As shown, the memory 1005, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program for a construction cost estimation method.

[0100] exist Figure 4In the electronic device 1000 shown, the user interface 1003 is mainly used to provide an input interface for the user and to obtain the user input data; while the processor 1001 can be used to call an application program stored in the memory 1005 for a construction cost estimation method. When executed by one or more processors, the electronic device performs one or more of the methods described in the above embodiments.

[0101] An electronic device readable storage medium stores instructions that, when executed by one or more processors, cause the electronic device to perform one or more of the methods described in the above embodiments.

[0102] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0103] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0104] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some service interfaces; indirect couplings or communication connections between devices or units may be electrical or other forms.

[0105] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0106] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0107] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0108] The foregoing description is merely an exemplary embodiment of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Other embodiments of this disclosure will be readily apparent to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described herein. The specification and embodiments are to be considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. A method of estimating construction cost, characterized by, The method comprises: obtaining a first project feature of a to-be-built building, calculating a similarity index of the first project feature and a second project feature of a historical project in a project database, and selecting a target historical project in the historical project with the similarity index greater than a preset index; obtaining a first building cost of the target historical project, and generating a second building cost of the to-be-built building according to the first building cost; dividing the to-be-built building into a plurality of construction links, formulating a standard construction progress of each construction link according to the second building cost, obtaining an actual construction progress of each construction link, calculating a progress deviation of the actual construction progress and the standard construction progress; obtaining a correlation index between each construction link, establishing a progress transmission network according to the correlation index, iteratively calculating the progress deviation of each construction link according to the progress transmission network, and generating a cumulative influence coefficient; wherein the correlation index is used to represent the progress influence degree between adjacent construction links; adjusting the second building cost according to the cumulative influence coefficient to generate a target building cost of the to-be-built building.

2. The method of claim 1, wherein, The calculation of the similarity index of the first project feature and the second project feature of the historical project in the project database comprises: extracting the building type, building size, geographical location, construction difficulty and material requirement in the first project feature as a first feature vector; extracting the building type, building size, geographical location, construction difficulty and material requirement in the second project feature as a second feature vector; standardizing each feature parameter in the first feature vector and the second feature vector; calculating the cosine similarity between the first feature vector and the second feature vector after standardization; determining the similarity index of the first project feature and the second project feature according to the cosine similarity.

3. The method of claim 1, wherein, The generation of the second building cost of the to-be-built building according to the first building cost comprises: determining the weight coefficient of each target historical project according to the similarity index; weighting the first building cost and the corresponding weight coefficient to generate a basic building cost of each target historical project, calculating the average value of each basic building cost to generate an initial building cost of the to-be-built building; obtaining a historical project with the highest similarity index between the to-be-built building and the target historical project to obtain a standard historical project; obtaining the time difference, regional difference and size difference between the to-be-built building and the standard historical project; determining a time adjustment coefficient according to the time difference, a regional adjustment coefficient according to the regional difference, and a size adjustment coefficient according to the size difference; combining the time adjustment coefficient, the regional adjustment coefficient and the size adjustment coefficient to correct the initial building cost to generate the second building cost of the to-be-built building.

4. The method of claim 3, wherein, The determination of the time adjustment coefficient according to the time difference, the regional adjustment coefficient according to the regional difference, and the size adjustment coefficient according to the size difference comprises: According to the time difference, a construction start time difference between the to-be-built building and the standard historical project is calculated, a price index change rate in a corresponding time period is obtained, and the time adjustment coefficient is determined according to the price index change rate; According to the regional difference, a geographic coordinate difference between the to-be-built building and the standard historical project is calculated, and a corresponding regional cost correction proportion is determined as the regional adjustment coefficient according to a preset regional cost difference database; According to the scale difference, a building area ratio between the to-be-built building and the standard historical project is calculated, and a corresponding scale cost correction proportion is determined as the scale adjustment coefficient according to a preset scale economic effect function.

5. The method of claim 3, wherein, The initial building cost is corrected by combining the time adjustment coefficient, the regional adjustment coefficient and the scale adjustment coefficient to generate a second building cost of the to-be-built building, including: The time adjustment coefficient, the regional adjustment coefficient and the scale adjustment coefficient are arithmetically multiplied with the initial building cost to generate the second building cost of the to-be-built building.

6. The method of claim 1, wherein, The progress deviation of each construction link is iteratively calculated according to the progress transmission network to generate a progress cumulative influence coefficient, including: The progress deviation of each construction link is input into the progress transmission network as an initial influence value; According to the correlation index of each construction link in the progress transmission network, a direct influence value of each construction link on a subsequent construction link is calculated; The direct influence value is transmitted to the subsequent construction link, and the direct influence value is added to the original progress deviation of the subsequent construction link to obtain a target progress deviation value; The calculation of the direct influence value and the generation process of the target progress deviation value are iteratively performed until the difference between the target progress deviation value of each construction link and the target progress deviation value of the last iteration is less than a preset convergence threshold, or the iteration number reaches a preset iteration number; According to the ratio of the final target progress deviation value of each construction link to the corresponding initial influence value after iteration, a progress cumulative influence coefficient of each construction link is determined.

7. The method of claim 1, wherein, The second building cost is adjusted according to the cumulative influence coefficient to generate a target building cost of the to-be-built building, including: According to the cumulative influence coefficient, a cost adjustment proportion of each construction link is calculated; The second building cost is decomposed according to the cost proportion of each construction link to obtain a sub-item building cost of each construction link; The sub-item building cost of each construction link is multiplied by the corresponding cost adjustment proportion to obtain an adjusted sub-item building cost of each construction link; The adjusted sub-item building costs of each construction link are summed to generate the target building cost of the to-be-built building.

8. A construction cost estimating system, characterized by, The system comprises a first acquisition module, a second acquisition module, a division module, a third acquisition module and an adjustment module, wherein The first acquisition module is configured to acquire a first project feature of a to-be-built building, calculate a similarity index of the first project feature and a second project feature of a historical project in a project database, and select a target historical project in the historical project with the similarity index greater than a preset index; The second acquisition module is configured to acquire a first construction cost of the target historical project, and generate a second construction cost of the to-be-built building according to the first construction cost; The division module is configured to divide the to-be-built building into a plurality of construction links, formulate a standard construction progress of each construction link according to the second construction cost, acquire an actual construction progress of each construction link, and calculate a progress deviation of the actual construction progress and the standard construction progress; The third acquisition module is configured to acquire a correlation index between each construction link, establish a progress transfer network according to the correlation index, iteratively calculate the progress deviation of each construction link according to the progress transfer network, and generate a progress cumulative influence coefficient; wherein the correlation index is used to represent a progress influence degree between adjacent construction links; The adjustment module is configured to adjust the second construction cost according to the cumulative influence coefficient, and generate a target construction cost of the to-be-built building.

9. An electronic device, comprising: An electronic device includes a processor, a memory, a user interface, and a network interface. The memory is configured to store instructions. The user interface and the network interface are configured to communicate with other devices. The processor is configured to execute the instructions stored in the memory to cause the electronic device to perform the method of any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, A computer program is stored in a memory and can be loaded and executed by a processor to perform the method of any one of claims 1-7.

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