Engineering cost evaluation method and system based on BIM model

Abstract

The invention provides a BIM model-based engineering cost evaluation method and system, and the method achieves the engineering cost evaluation through dividing BIM model data into a plurality of construction regions, and comprises the steps: firstly, dividing a BIM model into a plurality of construction region data; determining material, labor and equipment demand data of each area; obtaining current market price data; respectively calculating material cost, labor cost and equipment cost of each area; combining the three types of costs to generate a regional estimated comprehensive cost; and finally, integrating the costs of all regions to form project initial cost data. According to the method, regional cost calculation is realized, the accuracy of engineering cost estimation is improved, the cost is more transparent, and cost control and optimization of each region are facilitated. Meanwhile, the method supports the real-time supervision of the construction cost of each region in the construction process, and provides a more scientific and efficient decision basis for project management.

Description

Technical Field

[0001] The present application relates to the field of construction engineering, and in particular to a method and system for evaluating construction cost based on a BIM model. Background Art

[0002] Cost evaluation, as a crucial step in the investment decision-making and implementation of construction projects, directly impacts the project's economic benefits and resource allocation efficiency. As construction scale and project complexity increase, traditional cost evaluation methods are showing numerous limitations in modern engineering practice.

[0003] The cost evaluation methods commonly used in the current engineering field mainly include the budget index method, the physical quantity method and the value engineering method.

[0004] The rough estimate index method uses historical project unit cost data to quickly estimate total investment. It's simple to use and has a short calculation cycle, but it relies on the accuracy of historical data. When faced with new processes, non-standard structures, or unique geographical conditions, the results often deviate significantly from reality. Especially in industries with rapidly evolving technologies, the timeliness of historical data can lead to a lack of foresight in the estimates, making it difficult to reflect cost changes brought about by the latest technological advances.

[0005] While the physical quantity method provides relatively accurate cost forecasts through detailed bills of quantities and market unit prices, its over-reliance on complete design documents makes it difficult to effectively apply during the early stages of project decision-making. Furthermore, this method is time-consuming and labor-intensive, requiring professional personnel to perform item-by-item calculations. Manual intervention leads to a high degree of subjective factors, and it is difficult to quickly respond to design changes. More critically, the physical quantity method focuses on static cost assessments, lacks a comprehensive consideration of the project's full lifecycle costs, and overlooks the potentially significant economic impact of the operation and maintenance phase.

[0006] Value engineering balances project cost and performance through functional analysis and cost optimization. While a promising concept, it faces challenges in practice, such as difficulty quantifying functionality and inconsistent evaluation standards. Furthermore, the method requires the in-depth involvement of multidisciplinary experts, resulting in high organizational and coordination costs. Furthermore, the evaluation process relies heavily on expert experience, which can lead to subjective biases. Summary of the Invention

[0007] This application provides a construction cost evaluation method based on the BIM model, which includes the following steps: A1, dividing the engineering BIM model data corresponding to the preset target construction project into a plurality of corresponding model construction area data; A2, based on the model construction area data, determines the corresponding regional construction material demand data, regional construction labor time demand data, and regional construction equipment time demand data; A3 obtains current material price data, current work type labor price data, and current equipment labor price data. A4 calculates the estimated material cost data for the corresponding regional construction based on the regional construction material demand data and current material price data corresponding to the model construction area data; A5 calculates the estimated labor cost data for the corresponding regional construction based on the regional construction labor hour demand data corresponding to the model construction area data and the current labor hour price data for the type of work; A6, calculating the corresponding regional construction estimated equipment cost data based on the regional construction equipment labor hour demand data corresponding to the model construction area data and the current equipment labor hour price data; A7 generates estimated comprehensive cost data for the construction area based on the regional construction estimated material cost data, regional construction estimated labor cost data, and regional construction estimated equipment cost data; A8, generates preliminary project cost data based on the estimated comprehensive cost data of the construction areas corresponding to all the model construction area data.

[0008] By adopting the above technical solution, the engineering cost evaluation method based on the BIM model can divide the BIM model data into multiple construction areas, calculate the material, labor and equipment costs of each area separately, and finally integrate them to form the overall preliminary engineering cost data. This not only improves the accuracy of engineering cost estimation, but also realizes cost transparency, facilitates cost control and optimization in multiple areas, and also allows real-time supervision of the cost of each area during the subsequent construction process.

[0009] Optionally, the construction cost evaluation method based on the BIM model further includes the following steps: B1, during the construction of the target construction project, continuously obtaining construction personnel positioning data, construction material positioning data, and construction equipment positioning data; B2, determining corresponding construction area data for the target construction project based on the project BIM model data and the model construction area data; B3, determining corresponding regional personnel positioning data, regional material positioning data, and regional equipment positioning data from the construction personnel positioning data, construction material positioning data, and construction equipment positioning data respectively based on the construction area data; B4, determining the corresponding regional construction start time and regional construction end time based on the project construction area data and the preset construction progress data; B5, determining the corresponding regional construction time window based on the regional construction start time and regional construction end time; B6, determining the corresponding regional construction time window personnel positioning data, regional construction time window material positioning data, and regional construction time window equipment positioning data based on the regional construction time window and the regional personnel positioning data, regional material positioning data, and regional equipment positioning data; B7, based on the personnel positioning data of the regional construction time window, determine the corresponding regional construction time window work type working hour data; B8, determining the corresponding regional construction time window material consumption data based on the regional construction time window material positioning data statistics; B9, determining the corresponding regional construction time window equipment working hour data based on the regional construction time window equipment positioning data; B10 calculates the actual labor cost data for the corresponding regional construction based on the regional construction time window work type labor hour data and the current work type labor hour price data; B11 calculates the actual material cost data for the corresponding regional construction based on the regional construction time window material consumption data and current material price data; B12, calculates the corresponding regional construction actual equipment cost data based on the regional construction time window equipment working hour data and the current equipment working hour price data; B13, generates actual comprehensive cost data of the construction area based on the actual labor cost data, actual material cost data and actual equipment cost data of the regional construction corresponding to the project construction area data.

[0010] By adopting the above technical solution, the engineering cost evaluation method based on the BIM model can continuously obtain the positioning data of construction personnel, materials and equipment, and determine the regional construction time window. It can count the actual man-hours, material consumption and equipment usage during the construction process of each construction area according to various positioning data, thereby calculating accurate actual cost data. It not only realizes the process tracking from estimated cost to actual cost, but also enables project managers to timely discover cost deviations, quickly adjust construction strategies, and effectively control project budgets. At the same time, it provides data reference for the cost evaluation of subsequent similar projects, thereby improving the accuracy and response speed of engineering cost management.

[0011] Optionally, the construction cost evaluation method based on the BIM model further includes the following steps: C1, determine the construction area data of each project that has been completed based on the construction progress data and define it as the completed area data; C2, calculates the corresponding regional comprehensive cost matching degree based on the actual comprehensive cost data of the construction area of the completed area data and the estimated comprehensive cost data of the construction area of the corresponding model construction area data; C3: If the comprehensive cost matching degree of a region is lower than the preset cost matching degree threshold, the corresponding completed area data is defined as a construction area with abnormal cost; C4, if the regional comprehensive cost matching degree is greater than or equal to the cost matching degree threshold, the corresponding completed area data is defined as the normal cost construction area; C5, feedback the construction area with abnormal cost to the preset control background.

[0012] By adopting the above technical solution, the engineering cost evaluation method based on the BIM model can identify and mark construction areas with abnormal costs by comparing the matching degree between the actual comprehensive cost of the completed area and the estimated comprehensive cost, and promptly feedback the abnormal situation to the control background. It not only realizes the transformation of cost management from passive response to active monitoring, but also enables project managers to focus on problem areas that need attention and formulate improvement measures in a targeted manner, thereby continuously optimizing the construction process and cost control strategy, and improving the intelligence level and early warning capabilities of engineering cost management.

[0013] Optionally, step C2 includes the following steps: C201, generates a corresponding actual work type cost vector based on the preset work type list sequence and the actual regional construction labor cost data in the actual comprehensive cost data of the construction area; C202, generating a corresponding actual material cost vector based on matching the preset material list sequence with the actual regional construction material cost data in the actual comprehensive cost data of the construction area; C203, generating a corresponding actual equipment cost vector based on matching the preset equipment list sequence with the actual equipment cost data of the regional construction in the actual comprehensive cost data of the construction area; C204, combines the actual work type cost vector, the actual material cost vector and the actual equipment cost vector to generate the corresponding actual comprehensive cost vector; C205, generates a corresponding estimated work type cost vector based on the work type list sequence and the regional construction estimated labor cost data in the construction area estimated comprehensive cost data; C206, generates a corresponding estimated material cost vector based on the matching of the BOM sequence and the regional construction estimated material cost data in the construction regional estimated comprehensive cost data; C207, generates a corresponding estimated equipment cost vector based on the equipment list sequence and the regional construction estimated equipment cost data in the construction area estimated comprehensive cost data; C208, combines the estimated work type cost vector, the estimated material cost vector, and the estimated equipment cost vector to generate the corresponding estimated comprehensive cost vector; C209, calculate the corresponding cosine similarity based on the actual comprehensive cost vector and the estimated comprehensive cost vector and define it as the regional comprehensive cost matching degree.

[0014] By adopting the above technical solution, the engineering cost evaluation method based on the BIM model can accurately evaluate the structural differences between actual costs and estimated costs from multiple dimensions by converting the cost data of types of work, materials and equipment into standardized vector forms. It not only avoids the limitations of the traditional single total cost comparison, but also can identify which specific cost items have deviations, providing managers with a more detailed and comprehensive cost analysis perspective, making cost control more accurate and targeted. At the same time, the quantitative evaluation of cost matching is achieved through cosine similarity, providing an objective and scientific basis for cost anomaly judgment, and improving the accuracy and depth of engineering cost evaluation.

[0015] Optionally, the construction cost evaluation method based on the BIM model further includes the following steps: D1, determine multiple actual images to collect positioning and orientation data in the construction area with abnormal cost; D2, determining the corresponding model image acquisition positioning orientation data based on the actual image acquisition positioning orientation data and the model construction area data corresponding to the construction area with abnormal cost; D3, collecting positioning azimuth data based on actual images and collecting corresponding actual area positioning image data in the construction area with abnormal cost; D4, collecting positioning orientation data and model construction area data corresponding to the cost-abnormal construction area based on the model image and collecting model area positioning image data corresponding to the engineering BIM model data; D5, calculating the corresponding regional positioning image matching degree based on the actual regional positioning image data and the corresponding model regional positioning image data using a preset image feature matching algorithm; D6, if the regional positioning image matching degree is less than the preset image matching degree threshold, the corresponding actual image acquisition positioning orientation data is defined as regional construction abnormal orientation data; D7, generating construction abnormal location list data based on all regional construction abnormal location data combinations.

[0016] By adopting the above technical solution, the engineering cost evaluation method based on the BIM model can locate the specific positions and directions that are inconsistent with the BIM model during the construction process through multi-angle image collection and comparison of construction areas with abnormal costs. It not only realizes the leap from cost data anomaly detection to on-site entity anomaly positioning, but also enables project managers to intuitively discover construction deviations and quickly determine the physical causes of cost anomalies, such as material substitution, component missing or process changes. At the same time, by generating a list of construction anomaly directions, it provides clear guidance for subsequent rectification, improves the pertinence and efficiency of problem handling, and realizes the integration of engineering cost management and actual construction quality control.

[0017] Optionally, the image feature matching algorithm includes the following steps: E1, generating corresponding actual area positioning image edge data using a preset image edge extraction algorithm according to the actual area positioning image data; E2, generating a corresponding actual area positioning image edge feature vector using a preset image feature extraction algorithm based on the actual area positioning image edge data; E3, generating corresponding model region positioning image edge data using an edge extraction algorithm according to the model region positioning image data; E4, generating a corresponding model region positioning image edge feature vector using an image feature extraction algorithm based on the model region positioning image edge data; E5, calculate the corresponding cosine similarity based on the edge feature vector of the actual region positioning image and the edge feature vector of the model region positioning image and define it as the region positioning image matching degree.

[0018] By adopting the above technical solution, the engineering cost evaluation method based on the BIM model can accurately capture the structural differences between actual construction and model design through image edge extraction and feature vector generation. It not only focuses on the key features and contours of the building structure, but also effectively filters out the interference of factors such as lighting and color, improves the accuracy and reliability of anomaly detection, and at the same time quantitatively evaluates the degree of image matching through cosine similarity, provides objective data support for the monitoring and control of construction quality, and enhances the collaborative operation of engineering cost management and physical construction quality control.

[0019] Optionally, the construction cost evaluation method based on the BIM model further includes the following steps: F1, calculate the cost of the corresponding area with normal completion progress based on the actual comprehensive cost data of all construction areas with normal construction costs; F2, based on the estimated comprehensive cost data of the construction area corresponding to the model construction area data of all normal construction areas, calculate the corresponding current progress model completion area cost; F3, calculates the corresponding cost correction coefficient based on the cost of the normally completed area at the current progress and the cost of the completed area at the current progress model; F4, calculates the corresponding project revised cost data based on the cost revision coefficient and the preliminary project cost data.

[0020] By adopting the above technical solution, the engineering cost evaluation method based on the BIM model can calculate a reasonable cost correction coefficient by analyzing the overall difference between the actual cost and the estimated cost in the normal cost area, thereby dynamically adjusting the preliminary cost of the entire project. It not only overcomes the static deviation caused by factors such as market fluctuations and changes in construction conditions in traditional cost evaluation, but also realizes data migration from local experience to overall optimization, making the cost prediction of unfinished areas more accurate and reliable. At the same time, through the continuously updated engineering correction cost data, it provides project decision makers with financial expectations that are closer to reality, thereby improving the effectiveness and foresight of project fund management.

[0021] This application also provides a construction cost evaluation system based on the BIM model, including: Positioning module; Image acquisition module; BIM data module; Data processing module; Wherein, the positioning module, the image acquisition module and the BIM data module are respectively data-connected to the data processing module; Wherein, the positioning module includes multiple personnel positioning modules, multiple material positioning modules and multiple equipment positioning modules, and each of the personnel positioning modules, each of the material positioning modules and each of the equipment positioning modules are respectively communicatively connected to the data processing module; The image acquisition module includes a controlled movement module, a camera module, a camera positioning module and an orientation detection module, and the camera module, the camera positioning module and the orientation detection module are respectively arranged in the controlled movement module; The BIM-based construction cost evaluation system further includes a construction cost evaluation strategy, including the following steps: G1, dividing the engineering BIM model data corresponding to the preset target construction project into a plurality of corresponding model construction area data through the BIM data module; G2, determining the corresponding regional construction material demand data, regional construction labor time demand data, and regional construction equipment time demand data through the BIM data module according to the model construction area data; G3, obtains the current material price data, the current type of work hour price data, and the current equipment hour price data; G4, calculating the corresponding regional construction estimated material cost data through the data processing module based on the regional construction material demand data and current material price data corresponding to the model construction area data; G5, calculating the corresponding regional construction estimated labor cost data through the data processing module based on the regional construction labor time demand data corresponding to the model construction area data and the current type of work labor time price data; G6, calculating the corresponding regional construction estimated equipment cost data through the data processing module based on the regional construction equipment labor hour demand data corresponding to the model construction area data and the current equipment labor hour price data; G7, generates estimated comprehensive cost data for the construction area based on the regional construction estimated material cost data, regional construction estimated labor cost data, and regional construction estimated equipment cost data; G8 generates preliminary project cost data based on the estimated comprehensive cost data of the construction areas corresponding to all model construction area data.

[0022] By adopting the above technical solution, the engineering cost evaluation system based on the BIM model can divide the BIM model data into multiple construction areas, calculate the material, labor and equipment costs of each area separately, and finally integrate them to form the overall preliminary engineering cost data. This not only improves the accuracy of engineering cost estimation, but also realizes cost transparency, facilitates cost control and optimization in multiple areas, and also allows real-time supervision of the cost of each area during the subsequent construction process.

[0023] In summary, this application includes at least one of the following beneficial technical effects: 1. By dividing the BIM model data into multiple construction areas, the material, labor and equipment costs of each area can be calculated separately, and finally integrated to form the overall preliminary project cost data. This not only improves the accuracy of project cost estimation, but also achieves cost transparency, facilitates cost control and optimization in multiple areas, and also allows real-time monitoring of the cost of each area during the subsequent construction process.

[0024] 2. By continuously acquiring the location data of construction personnel, materials, and equipment and determining the regional construction time window, the actual man-hours, material consumption, and equipment usage during the construction process of each construction area can be counted based on the various location data, thereby calculating accurate actual cost data. This not only realizes the process tracking from estimated cost to actual cost, but also enables project managers to promptly discover cost deviations, quickly adjust construction strategies, and effectively control project budgets. At the same time, it provides data reference for subsequent cost assessments of similar projects, thereby improving the accuracy and response speed of project cost management.

[0025] 3. By comparing the actual comprehensive cost of the completed area with the estimated comprehensive cost, construction areas with abnormal costs can be identified and marked, and abnormal situations can be promptly fed back to the control background. This not only realizes the transformation of cost management from passive response to active monitoring, but also enables project managers to focus on problem areas that need attention and formulate targeted improvement measures, thereby continuously optimizing the construction process and cost control strategy, and improving the intelligence level and early warning capabilities of project cost management. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a process diagram of a construction cost evaluation method based on a BIM model according to the present invention.

[0027] Figure 2 It is a schematic diagram of the principle of a construction cost evaluation system based on a BIM model according to the present invention. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0029] The embodiments of the present application are described in further detail below with reference to the accompanying drawings.

[0030] refer to Figure 1 The present invention provides a construction cost evaluation method based on the BIM model, which is used to estimate the cost of a construction project with the help of the BIM model data of the construction project, including the following steps: A1, dividing the engineering BIM model data corresponding to the preset target construction project into a plurality of corresponding model construction area data; The target construction project is a construction project that currently requires cost assessment; The engineering BIM model data is the BIM model of the target building project; The model construction area data is the positioning data of the block area of the engineering BIM model data. The engineering BIM model data is segmented according to certain rules. It can be segmented automatically through algorithms or manually. For example, the model is partitioned based on factors such as the construction process sequence and the construction area.

[0031] A2, based on the model construction area data, determines the corresponding regional construction material demand data, regional construction labor time demand data, and regional construction equipment time demand data; Regional construction material demand data refers to the construction material consumption required to complete the construction project within the model construction area data, which can be determined in the project BIM model data based on the model construction area data; Regional construction labor time demand data is the labor consumption of the types of work and corresponding working hours required to complete the construction project within the model construction area data. It can be estimated based on the construction content and construction form in the model construction area data and the project BIM model data; Regional construction equipment man-hour demand data refers to the equipment and corresponding equipment man-hour consumption required to complete the construction project within the model construction area data. It can be estimated based on the project construction content and construction form in the model construction area data and the project BIM model data.

[0032] A3 obtains current material price data, current work type labor price data, and current equipment labor price data. The current material price data is the current price of construction materials; The current work-hour price data is the work-hour price of each work type of the current construction personnel; The current equipment labor hour price data is the labor hour price of the current construction equipment. For example, the rental equipment can be estimated based on the rent, lease period and usage rate. The equipment labor hour of purchased equipment can be estimated through the accounting depreciation algorithm, and the power consumption can be estimated based on the power of the equipment, and then the corresponding electricity cost can be calculated to obtain the equipment labor hour price in a comprehensive manner.

[0033] A4 calculates the estimated material cost data for the corresponding regional construction based on the regional construction material demand data and current material price data corresponding to the model construction area data; The regional construction estimated material cost data is a data set of the estimated cost of each material corresponding to the model construction area data; The cost of each material in the regional construction material demand data can be calculated one by one through the regional construction material demand data and the current material price data, and then the regional construction estimated material cost data can be obtained by combining them.

[0034] A5 calculates the estimated labor cost data for the corresponding regional construction based on the regional construction labor hour demand data corresponding to the model construction area data and the current labor hour price data for the type of work; The regional construction estimated labor cost data is a data set of estimated costs for each type of work corresponding to the model construction area data; The labor hours required for each type of work can be calculated using the regional construction labor hour demand data and the current type of work labor hour price data. Combined with the labor hour prices of each type of work in the current type of work labor hour price data, the labor hour cost of each type of work can be calculated, and then the estimated labor cost data for regional construction can be obtained.

[0035] A6, calculating the corresponding regional construction estimated equipment cost data based on the regional construction equipment labor hour demand data corresponding to the model construction area data and the current equipment labor hour price data; The regional construction estimated equipment cost data is a data set of estimated costs of various construction equipment corresponding to the model construction region data.

[0036] A7 generates estimated comprehensive cost data for the construction area based on the regional construction estimated material cost data, regional construction estimated labor cost data, and regional construction estimated equipment cost data; The estimated comprehensive cost data for the construction area is a collection of the estimated material cost data for the construction area, the estimated labor cost data for the construction area, and the estimated equipment cost data for the construction area.

[0037] A8, generating preliminary project cost data based on the estimated comprehensive cost data of the construction areas corresponding to all model construction area data; The preliminary project cost data is a collection of estimated comprehensive cost data for all model construction area data.

[0038] Through the above steps, the engineering cost evaluation method based on the BIM model can divide the BIM model data into multiple construction areas, calculate the material, labor and equipment costs of each area separately, and finally integrate them to form the overall preliminary engineering cost data. It not only improves the accuracy of engineering cost estimation, but also realizes cost transparency, facilitates cost control and optimization in multiple areas, and can also monitor the cost of each area in real time during the subsequent construction process.

[0039] Furthermore, the engineering cost evaluation method based on the BIM model further includes the following steps: B1, during the construction of the target construction project, continuously obtaining construction personnel positioning data, construction material positioning data, and construction equipment positioning data; Construction worker positioning data is the positioning data of all workers involved in the construction, and includes worker identification information, such as work ID information and job type information. This data can be obtained by carrying a corresponding positioning module on each worker and communicating with the backend. It can be combined with the model construction area data to count the hours of work types in the area. Construction material location data is the location data of all materials consumed during construction, and includes material type, material model, and material quantity. This data can be obtained by installing the corresponding positioning module on the corresponding material transfer workpiece and entering the corresponding material type, material model, and material quantity information. Finally, it can be obtained through communication with the background. It can be combined with the model construction area data to count the material consumption in the area; Construction equipment positioning data is the positioning data of all construction equipment involved in the construction, and includes the identification information of the equipment, such as equipment type and equipment model, etc. It can be obtained by installing the corresponding positioning module on each construction equipment and communicating with the background. It can be combined with the model construction area data to count the equipment working hours in the area.

[0040] B2, determining corresponding construction area data for the target construction project based on the project BIM model data and the model construction area data; The engineering construction area data is the actual corresponding area of the model construction area data in the engineering BIM model data in the target construction project.

[0041] B3, determining corresponding regional personnel positioning data, regional material positioning data, and regional equipment positioning data from the construction personnel positioning data, construction material positioning data, and construction equipment positioning data respectively based on the construction area data; The regional personnel positioning data is the personnel positioning data in the actual area corresponding to the engineering construction area data in the construction personnel positioning data; The regional material positioning data is the material positioning data in the actual area corresponding to the engineering construction area data in the construction material positioning data; The regional equipment positioning data is equipment positioning data in the construction equipment positioning data that is located in the actual area corresponding to the engineering construction area data.

[0042] B4, determining the corresponding regional construction start time and regional construction end time based on the project construction area data and the preset construction progress data; Construction progress data is recorded data compiled by staff and used to determine the degree of completion of each construction area; The regional construction start time is the time when construction begins in the area corresponding to the project construction area data; The regional construction end time is the time when construction of the area corresponding to the project construction area data ends.

[0043] B5, determining the corresponding regional construction time window based on the regional construction start time and regional construction end time; The regional construction time window is the time window of the construction process corresponding to the engineering construction area data; If the engineering construction area data has the corresponding regional construction start time and regional construction end time at the same time, it means that if the area corresponding to the engineering construction area data has completed the construction work, the actual cost can be estimated based on the corresponding regional construction time window.

[0044] B6, determining the corresponding regional construction time window personnel positioning data, regional construction time window material positioning data, and regional construction time window equipment positioning data based on the regional construction time window and the regional personnel positioning data, regional material positioning data, and regional equipment positioning data; The regional construction time window personnel positioning data is the personnel positioning data within the regional construction time window in the regional personnel positioning data; The regional construction time window material positioning data is the material positioning data within the regional construction time window in the regional material positioning data; The regional construction time window equipment positioning data is the equipment positioning data within the regional construction time window in the regional equipment positioning data.

[0045] B7, based on the personnel positioning data of the regional construction time window, determine the corresponding regional construction time window work type working hour data; The working hour data of each type of work in the regional construction time window is the working hour data of each type of work that appears in the construction area corresponding to the engineering construction area data within the regional construction time window. It can be determined by counting the length of time that each staff member's type of work has appeared in the construction area based on the personnel positioning data of the regional construction time window.

[0046] B8, determining the corresponding regional construction time window material consumption data based on the regional construction time window material positioning data statistics; The regional construction time window material consumption data is the consumption data of each material that appears in the construction area corresponding to the engineering construction area data within the regional construction time window. It can be determined by counting the type, model and quantity of materials entering the construction area based on the regional construction time window material positioning data.

[0047] B9, determining the corresponding regional construction time window equipment working hour data based on the regional construction time window equipment positioning data; The equipment working hour data of the regional construction time window is the working hour data of each equipment that appears in the construction area corresponding to the engineering construction area data within the regional construction time window. It can be determined by counting the time that each equipment appears in the construction area based on the regional construction time window equipment positioning data.

[0048] B10 calculates the actual labor cost data for the corresponding regional construction based on the regional construction time window work type labor hour data and the current work type labor hour price data; The actual labor cost data of regional construction is the actual construction labor cost of the construction area corresponding to the project construction area data.

[0049] B11 calculates the actual material cost data for the corresponding regional construction based on the regional construction time window material consumption data and current material price data; The actual material cost data of regional construction is the actual construction material cost of the construction area corresponding to the project construction area data.

[0050] B12, calculates the corresponding regional construction actual equipment cost data based on the regional construction time window equipment working hour data and the current equipment working hour price data; The actual equipment cost data for regional construction is the actual construction equipment cost for the construction area corresponding to the project construction area data.

[0051] B13, generating actual comprehensive cost data for the construction area based on the actual labor cost data, actual material cost data, and actual equipment cost data for the regional construction corresponding to the project construction area data; The actual comprehensive cost data of the construction area is a collection of the actual labor cost data, actual material cost data and actual equipment cost data of the regional construction corresponding to the engineering construction area data.

[0052] Through the above steps, the engineering cost evaluation method based on the BIM model can continuously obtain the positioning data of construction personnel, materials and equipment, and determine the regional construction time window. It can count the actual man-hours, material consumption and equipment usage during the construction process of each construction area according to various positioning data, thereby calculating accurate actual cost data. It not only realizes the process tracking from estimated cost to actual cost, but also enables project managers to timely discover cost deviations, quickly adjust construction strategies, and effectively control project budgets. At the same time, it provides data reference for subsequent cost evaluation of similar projects, thereby improving the accuracy and response speed of engineering cost management.

[0053] Furthermore, the engineering cost evaluation method based on the BIM model further includes the following steps: C1, determine the construction area data of each project that has been completed based on the construction progress data and define it as the completed area data; The completed area data is the engineering construction area data corresponding to the construction area where construction has been completed, and can be judged based on the start time and end time of the regional construction.

[0054] C2, calculates the corresponding regional comprehensive cost matching degree based on the actual comprehensive cost data of the construction area of the completed area data and the estimated comprehensive cost data of the construction area of the corresponding model construction area data; The regional comprehensive cost matching degree is the degree of conformity between the actual comprehensive cost data of the construction area and the estimated comprehensive cost data of the construction area. It is used to evaluate whether the construction cost deviates excessively. It can be calculated through various algorithms in conventional statistics or through specific algorithms.

[0055] C3: If the comprehensive cost matching degree of a region is lower than the preset cost matching degree threshold, the corresponding completed area data is defined as a construction area with abnormal cost; The cost matching threshold is a pre-set reference value used to determine whether the regional comprehensive cost matching is too low; The construction area with abnormal construction costs refers to the completed area data whose regional comprehensive cost matching degree is lower than the cost matching degree threshold, that is, the completed area data that does not meet the cost expectations.

[0056] C4, if the regional comprehensive cost matching degree is greater than or equal to the cost matching degree threshold, the corresponding completed area data is defined as the normal cost construction area; The normal construction cost area refers to the completed area data whose regional comprehensive cost matching degree is greater than or equal to the cost matching degree threshold, that is, the completed area data that meets the cost expectations.

[0057] C5, feedback the construction area with abnormal cost to the preset control background.

[0058] The control background is a pre-set monitoring background used to monitor the construction process.

[0059] Through the above steps, the engineering cost evaluation method based on the BIM model can identify and mark construction areas with abnormal costs by comparing the matching degree between the actual comprehensive cost of the completed area and the estimated comprehensive cost, and promptly feedback the abnormal situation to the control background. It not only realizes the transformation of cost management from passive response to active monitoring, but also enables project managers to focus on problem areas that need attention and formulate improvement measures in a targeted manner, thereby continuously optimizing the construction process and cost control strategy, and improving the intelligence level and early warning capabilities of engineering cost management.

[0060] Furthermore, the step C2 includes the following steps: C201, generates a corresponding actual work type cost vector based on the preset work type list sequence and the actual regional construction labor cost data in the actual comprehensive cost data of the construction area; The work type list sequence is a sorted list of construction work types required for the entire target construction project; The actual work type cost vector is vectorized data generated by matching the work type list sequence with the actual labor cost data of regional construction; For example, the sequence of the list of types of work for the entire target construction project is [type A, type B, type C, ..., type K]. In the actual labor cost data for regional construction, the cost of type A is 0 yuan, the cost of type B is X yuan, the cost of type C is Y yuan, the cost of type K is 0 yuan, and so on. The corresponding actual type of work cost vector is (0, X, Y, ..., 0).

[0061] C202, generating a corresponding actual material cost vector based on matching the preset material list sequence with the actual regional construction material cost data in the actual comprehensive cost data of the construction area; The material list sequence is a sorted list of material types required for the entire target construction project; The actual material cost vector is vectorized data generated by matching the bill of materials sequence with the actual material cost data of regional construction.

[0062] C203, generating a corresponding actual equipment cost vector based on matching the preset equipment list sequence with the actual equipment cost data of the regional construction in the actual comprehensive cost data of the construction area; The equipment list sequence is a sorted list of equipment types required for the entire target construction project; The actual equipment cost vector is vectorized data generated by matching the equipment list sequence with the actual equipment cost data of regional construction.

[0063] C204, combines the actual work type cost vector, the actual material cost vector and the actual equipment cost vector to generate the corresponding actual comprehensive cost vector; The actual comprehensive cost vector is a vector generated by combining the actual work type cost vector, the actual material cost vector and the actual equipment cost vector. These three vectors can be combined using a vector splicing formula.

[0064] C205, generates a corresponding estimated work type cost vector based on the work type list sequence and the regional construction estimated labor cost data in the construction area estimated comprehensive cost data; The estimated work type cost vector is vectorized data generated by matching the work type list sequence with the regional construction estimated labor cost data.

[0065] C206, generates a corresponding estimated material cost vector based on the matching of the BOM sequence and the regional construction estimated material cost data in the construction regional estimated comprehensive cost data; The estimated material cost vector is vectorized data generated by matching the bill of materials sequence with the regional construction estimated material cost data.

[0066] C207, generates a corresponding estimated equipment cost vector based on the equipment list sequence and the regional construction estimated equipment cost data in the construction area estimated comprehensive cost data; The estimated equipment cost vector is vectorized data generated by matching the equipment list sequence with the regional construction estimated equipment cost data.

[0067] C208, combines the estimated work type cost vector, the estimated material cost vector, and the estimated equipment cost vector to generate the corresponding estimated comprehensive cost vector; The estimated comprehensive cost vector is a vector generated by combining the estimated work type cost vector, the estimated material cost vector, and the estimated equipment cost vector. These three vectors can be combined in a vector splicing manner.

[0068] C209, calculate the corresponding cosine similarity based on the actual comprehensive cost vector and the estimated comprehensive cost vector and define it as the regional comprehensive cost matching degree; The regional comprehensive cost matching degree is the cosine similarity between the actual comprehensive cost vector and the estimated comprehensive cost vector.

[0069] Through the above steps, the engineering cost evaluation method based on the BIM model can accurately evaluate the structural differences between actual costs and estimated costs from multiple dimensions by converting the cost data of types of work, materials and equipment into standardized vector forms. It not only avoids the limitations of the traditional single total cost comparison, but also can identify which specific cost items have deviations, providing managers with a more detailed and comprehensive cost analysis perspective, making cost control more accurate and targeted. At the same time, the quantitative evaluation of cost matching is achieved through cosine similarity, providing an objective and scientific basis for cost anomaly judgment, and improving the accuracy and depth of engineering cost evaluation.

[0070] Furthermore, the engineering cost evaluation method based on the BIM model further includes the following steps: D1, determine multiple actual images to collect positioning and orientation data in the construction area with abnormal cost; The actual image acquisition positioning orientation data is the positioning data and orientation data of the location where image acquisition is required subsequently, and can be manually selected by staff in the construction area with abnormal construction costs or randomly selected by an algorithm.

[0071] D2, determining the corresponding model image acquisition positioning orientation data based on the actual image acquisition positioning orientation data and the model construction area data corresponding to the construction area with abnormal cost; The model image acquisition positioning and orientation data is the positioning and orientation data corresponding to the actual image acquisition positioning and orientation data in the model construction area data, that is, the actual positioning and orientation in the actual construction area corresponds to the model positioning and orientation in the engineering BIM model data.

[0072] D3, collecting positioning azimuth data based on actual images and collecting corresponding actual area positioning image data in the construction area with abnormal cost; The actual area positioning image data is the actual on-site image data in the actual construction area collected based on the positioning and orientation in the actual image acquisition positioning orientation data, and can be obtained by shooting the camera module 22 at the positioning position and toward the corresponding orientation.

[0073] D4, collecting positioning orientation data and model construction area data corresponding to the cost-abnormal construction area based on the model image and collecting model area positioning image data corresponding to the engineering BIM model data; The model area positioning image data is the simulated image data in the model construction area collected based on the positioning and orientation in the model image acquisition positioning orientation data. It can be obtained by setting a virtual camera in the engineering BIM model data to capture the image through the positioning and orientation data.

[0074] D5, calculating the corresponding regional positioning image matching degree based on the actual regional positioning image data and the corresponding model regional positioning image data using a preset image feature matching algorithm; The image feature matching algorithm is a pre-set algorithm used to compare the similarity between two images; The regional positioning image matching degree is the matching degree value between the actual regional positioning image data and the corresponding model regional positioning image data.

[0075] D6, if the regional positioning image matching degree is less than the preset image matching degree threshold, the corresponding actual image acquisition positioning orientation data is defined as regional construction abnormal orientation data; The image matching threshold is a pre-set reference value used to determine the matching degree of the regional positioning image; The regional construction anomaly orientation data is the location direction where construction anomalies may occur.

[0076] D7, generating construction abnormal location list data based on all regional construction abnormal location data; The abnormal construction location list data is a collection of abnormal construction location data in all areas.

[0077] Through the above steps, the engineering cost evaluation method based on the BIM model can locate the specific positions and directions that are inconsistent with the BIM model during the construction process by collecting and comparing multi-angle images of the construction areas with abnormal costs. It not only realizes the leap from detecting cost data anomalies to locating on-site entity anomalies, but also enables project managers to intuitively discover construction deviations and quickly determine the physical causes of cost anomalies, such as material substitution, component missing or process changes. At the same time, by generating a list of construction anomaly directions, it provides clear guidance for subsequent rectification, improves the pertinence and efficiency of problem handling, and realizes the integration of engineering cost management and actual construction quality control.

[0078] Furthermore, the image feature matching algorithm includes the following steps: E1, generating corresponding actual area positioning image edge data using a preset image edge extraction algorithm according to the actual area positioning image data; The image edge extraction algorithm is a pre-set algorithm used to extract edge images from image data, such as Roberts algorithm, Prewitt algorithm, Sobel algorithm and Canny algorithm; The actual region positioning image edge data is edge image data corresponding to the actual region positioning image data.

[0079] E2, generating a corresponding actual area positioning image edge feature vector using a preset image feature extraction algorithm based on the actual area positioning image edge data; The image feature extraction algorithm is a pre-set feature extraction algorithm used to extract feature data from an image; The actual region positioning image edge feature vector is a feature vector corresponding to the actual region positioning image edge data.

[0080] E3, generating corresponding model region positioning image edge data using an edge extraction algorithm according to the model region positioning image data; The model region positioning image edge data is edge image data corresponding to the model region positioning image data.

[0081] E4, generating a corresponding model region positioning image edge feature vector using an image feature extraction algorithm based on the model region positioning image edge data; The model region positioning image edge feature vector is a feature vector corresponding to the model region positioning image edge data.

[0082] E5, calculate the corresponding cosine similarity based on the edge feature vector of the actual region positioning image and the edge feature vector of the model region positioning image and define it as the region positioning image matching degree; The matching degree of the region positioning image is the cosine similarity between the edge feature vector of the actual region positioning image and the edge feature vector of the model region positioning image.

[0083] Through the above steps, the engineering cost evaluation method based on the BIM model can accurately capture the structural differences between actual construction and model design through image edge extraction and feature vector generation. It not only focuses on the key features and contours of the building structure, but also effectively filters out the interference of factors such as lighting and color, improves the accuracy and reliability of anomaly detection, and at the same time quantitatively evaluates the degree of image matching through cosine similarity, provides objective data support for the monitoring and control of construction quality, and enhances the collaborative operation of engineering cost management and physical construction quality control.

[0084] Furthermore, the engineering cost evaluation method based on the BIM model further includes the following steps: F1, calculate the cost of the corresponding area with normal completion progress based on the actual comprehensive cost data of all construction areas with normal construction costs; The construction cost of the area with normal completion progress at the current time is the sum of the actual comprehensive cost data of the construction areas of all areas with normal construction costs.

[0085] F2, based on the estimated comprehensive cost data of the construction area corresponding to the model construction area data of all normal construction areas, calculate the corresponding current progress model completion area cost; The current progress model completion area cost is the sum of the construction area estimated comprehensive cost data of the model construction area data corresponding to all normal construction areas.

[0086] F3, calculates the corresponding cost correction coefficient based on the cost of the normally completed area at the current progress and the cost of the completed area at the current progress model; The cost correction factor is a factor used to correct the preliminary cost data of the project. The algorithm can be set by the staff and calculated by combining the cost of the normally completed area at the current progress and the cost of the completed area at the current progress model. For example, the cost correction coefficient can be determined by calculating the quotient of the cost of the normally completed area at the current progress and the cost of the model completed area at the current progress.

[0087] F4, calculates the corresponding revised project cost data based on the cost revision coefficient and the preliminary project cost data; The revised project cost data is the preliminary project cost data after being corrected by the cost correction coefficient.

[0088] Through the above steps, the engineering cost evaluation method based on the BIM model can calculate a reasonable cost correction coefficient by analyzing the overall difference between the actual cost and the estimated cost in the normal cost area, so as to dynamically adjust the preliminary cost of the entire project. It not only overcomes the static deviation caused by factors such as market fluctuations and changes in construction conditions in traditional cost evaluation, but also realizes data migration from local experience to overall optimization, making the cost prediction of unfinished areas more accurate and reliable. At the same time, through the continuously updated engineering correction cost data, it provides project decision makers with financial expectations that are closer to reality, thereby improving the effectiveness and foresight of project fund management.

[0089] refer to Figure 2 , this application also provides a construction cost evaluation system based on the BIM model, including: Positioning module 10; Image acquisition module 20; BIM data module 30; Data processing module 40; Wherein, the positioning module 10, the image acquisition module 20 and the BIM data module 30 are respectively data-connected to the data processing module 40; The positioning module 10 includes a plurality of personnel positioning modules 11, a plurality of material positioning modules 12, and a plurality of equipment positioning modules 13. Each of the personnel positioning modules 11, each of the material positioning modules 12, and each of the equipment positioning modules 13 is communicatively connected to the data processing module 40. The image acquisition module 20 includes a controlled movement module 21, a camera module 22, a camera positioning module 23, and an orientation detection module 24. The camera module 22, the camera positioning module 23, and the orientation detection module 24 are respectively provided in the controlled movement module 21. The positioning module 10 is mainly used to obtain positioning data and other extended information of human-machine materials.

[0090] The personnel positioning module 11 is mainly used to obtain the positioning data and personnel information of the construction personnel.

[0091] The material positioning module 12 is mainly used to obtain positioning data and material information of construction materials.

[0092] The equipment positioning module 13 is mainly used to obtain positioning data and equipment information of construction equipment.

[0093] The image acquisition module 20 is mainly used to perform controlled image acquisition in the construction area.

[0094] The controlled moving module 21 is mainly used to move in a controlled manner and carry the camera module 22 to a predetermined location, such as a remote-controlled car or a remote-controlled drone.

[0095] The camera module 22 is mainly used to capture on-site image data of the construction area.

[0096] The camera positioning module 23 is mainly used to obtain positioning information to determine the positioning position of the camera module 22.

[0097] The orientation detection module 24 is mainly used to obtain orientation information to determine the orientation of the camera module 22 .

[0098] The BIM data module 30 is mainly used to store and process engineering BIM model data.

[0099] The data processing module 40 is mainly used to collect data from various aspects and perform analysis and processing.

[0100] The BIM-based construction cost evaluation system further includes a construction cost evaluation strategy, including the following steps: G1, dividing the engineering BIM model data corresponding to the preset target construction project into a plurality of corresponding model construction area data through the BIM data module 30; G2, determining the corresponding regional construction material demand data, regional construction labor time demand data, and regional construction equipment time demand data through the BIM data module 30 according to the model construction area data; G3, obtains the current material price data, the current type of work hour price data, and the current equipment hour price data; G4, calculating the corresponding regional construction estimated material cost data through the data processing module 40 based on the regional construction material demand data and current material price data corresponding to the model construction area data; G5, calculating the corresponding regional construction estimated labor cost data through the data processing module 40 based on the regional construction labor time demand data corresponding to the model construction area data and the current type of work labor time price data; G6, calculating the corresponding regional construction estimated equipment cost data through the data processing module 40 based on the regional construction equipment labor time demand data corresponding to the model construction area data and the current equipment labor time price data; G7, generates estimated comprehensive cost data for the construction area based on the regional construction estimated material cost data, regional construction estimated labor cost data, and regional construction estimated equipment cost data; G8 generates preliminary project cost data based on the estimated comprehensive cost data of the construction areas corresponding to all model construction area data.

[0101] Through the above technical solution, the engineering cost evaluation system based on the BIM model can divide the BIM model data into multiple construction areas, calculate the material, labor and equipment costs of each area separately, and finally integrate them to form the overall preliminary engineering cost data. It not only improves the accuracy of engineering cost estimation, but also realizes cost transparency, facilitates cost control and optimization in multiple areas, and can also conduct real-time supervision of the cost of each area during the subsequent construction process.

[0102] The above are all preferred embodiments of the present application and are not intended to limit the scope of protection of this application. Unless otherwise specified, any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features. In other words, unless otherwise specified, each feature is merely an example of a series of equivalent or similar features.

Claims

1. A method for evaluating construction cost based on BIM model, characterized in that: The following steps are involved: A1, dividing the engineering BIM model data corresponding to the preset target construction project into a plurality of corresponding model construction area data; A2, based on the model construction area data, determines the corresponding regional construction material demand data, regional construction labor time demand data, and regional construction equipment time demand data; A3 obtains current material price data, current work type labor price data, and current equipment labor price data. A4 calculates the estimated material cost data for the corresponding regional construction based on the regional construction material demand data and current material price data corresponding to the model construction area data; A5 calculates the estimated labor cost data for the corresponding regional construction based on the regional construction labor hour demand data corresponding to the model construction area data and the current labor hour price data for the type of work; A6, calculating the corresponding regional construction estimated equipment cost data based on the regional construction equipment labor hour demand data corresponding to the model construction area data and the current equipment labor hour price data; A7 generates estimated comprehensive cost data for the construction area based on the regional construction estimated material cost data, regional construction estimated labor cost data, and regional construction estimated equipment cost data; A8, generates preliminary project cost data based on the estimated comprehensive cost data of the construction areas corresponding to all the model construction area data.

2. The construction cost evaluation method based on the BIM model according to claim 1 is characterized in that: Further comprising the steps of: B1, during the construction of the target construction project, continuously obtaining construction personnel positioning data, construction material positioning data, and construction equipment positioning data; B2, determining corresponding construction area data for the target construction project based on the project BIM model data and the model construction area data; B3, determining corresponding regional personnel positioning data, regional material positioning data, and regional equipment positioning data from the construction personnel positioning data, construction material positioning data, and construction equipment positioning data respectively based on the construction area data; B4, determining the corresponding regional construction start time and regional construction end time based on the project construction area data and the preset construction progress data; B5, determining the corresponding regional construction time window based on the regional construction start time and regional construction end time; B6, determining the corresponding regional construction time window personnel positioning data, regional construction time window material positioning data, and regional construction time window equipment positioning data based on the regional construction time window and the regional personnel positioning data, regional material positioning data, and regional equipment positioning data; B7, based on the personnel positioning data of the regional construction time window, determine the corresponding regional construction time window work type working hour data; B8, determining the corresponding regional construction time window material consumption data based on the regional construction time window material positioning data statistics; B9, determining the corresponding regional construction time window equipment working hour data based on the regional construction time window equipment positioning data; B10 calculates the actual labor cost data for the corresponding regional construction based on the regional construction time window work type labor hour data and the current work type labor hour price data; B11 calculates the actual material cost data for the corresponding regional construction based on the regional construction time window material consumption data and current material price data; B12, calculates the corresponding regional construction actual equipment cost data based on the regional construction time window equipment working hour data and the current equipment working hour price data; B13, generates actual comprehensive cost data of the construction area based on the actual labor cost data, actual material cost data and actual equipment cost data of the regional construction corresponding to the project construction area data.

3. The construction cost evaluation method based on the BIM model according to claim 2 is characterized in that: Further comprising the steps of: C1, determine the construction area data of each project that has been completed based on the construction progress data and define it as the completed area data; C2, calculates the corresponding regional comprehensive cost matching degree based on the actual comprehensive cost data of the construction area of the completed area data and the estimated comprehensive cost data of the construction area of the corresponding model construction area data; C3: If the comprehensive cost matching degree of a region is lower than the preset cost matching degree threshold, the corresponding completed area data is defined as a construction area with abnormal cost; C4, if the regional comprehensive cost matching degree is greater than or equal to the cost matching degree threshold, the corresponding completed area data is defined as the normal cost construction area; C5, feedback the construction area with abnormal cost to the preset control background.

4. The construction cost evaluation method based on the BIM model according to claim 3 is characterized in that: Step C2 includes the following steps: C201, generates a corresponding actual work type cost vector based on the preset work type list sequence and the actual regional construction labor cost data in the actual comprehensive cost data of the construction area; C202, generating a corresponding actual material cost vector based on matching the preset material list sequence with the actual regional construction material cost data in the actual comprehensive cost data of the construction area; C203, generating a corresponding actual equipment cost vector based on matching the preset equipment list sequence with the actual equipment cost data of the regional construction in the actual comprehensive cost data of the construction area; C204, combines the actual work type cost vector, the actual material cost vector and the actual equipment cost vector to generate the corresponding actual comprehensive cost vector; C205, generates a corresponding estimated work type cost vector based on the work type list sequence and the regional construction estimated labor cost data in the construction area estimated comprehensive cost data; C206, generates a corresponding estimated material cost vector based on the matching of the BOM sequence and the regional construction estimated material cost data in the construction regional estimated comprehensive cost data; C207, generates a corresponding estimated equipment cost vector based on the equipment list sequence and the regional construction estimated equipment cost data in the construction area estimated comprehensive cost data; C208, combines the estimated work type cost vector, the estimated material cost vector, and the estimated equipment cost vector to generate the corresponding estimated comprehensive cost vector; C209, calculate the corresponding cosine similarity based on the actual comprehensive cost vector and the estimated comprehensive cost vector and define it as the regional comprehensive cost matching degree.

5. The construction cost evaluation method based on the BIM model according to claim 4 is characterized in that: Further comprising the steps of: D1, determine multiple actual images to collect positioning and orientation data in the construction area with abnormal cost; D2, determining the corresponding model image acquisition positioning orientation data based on the actual image acquisition positioning orientation data and the model construction area data corresponding to the construction area with abnormal cost; D3, collecting positioning azimuth data based on actual images and collecting corresponding actual area positioning image data in the construction area with abnormal cost; D4, collecting positioning orientation data and model construction area data corresponding to the cost-abnormal construction area based on the model image and collecting model area positioning image data corresponding to the engineering BIM model data; D5, calculating the corresponding regional positioning image matching degree based on the actual regional positioning image data and the corresponding model regional positioning image data using a preset image feature matching algorithm; D6, if the regional positioning image matching degree is less than the preset image matching degree threshold, the corresponding actual image acquisition positioning orientation data is defined as regional construction abnormal orientation data; D7, generating construction abnormal location list data based on all regional construction abnormal location data combinations.

6. The method for evaluating construction cost based on the BIM model according to claim 5, characterized in that: The image feature matching algorithm comprises the following steps: E1, generating corresponding actual area positioning image edge data using a preset image edge extraction algorithm according to the actual area positioning image data; E2, generating a corresponding actual area positioning image edge feature vector using a preset image feature extraction algorithm based on the actual area positioning image edge data; E3, generating corresponding model region positioning image edge data using an edge extraction algorithm according to the model region positioning image data; E4, generating a corresponding model region positioning image edge feature vector using an image feature extraction algorithm based on the model region positioning image edge data; E5, calculate the corresponding cosine similarity based on the edge feature vector of the actual region positioning image and the edge feature vector of the model region positioning image and define it as the region positioning image matching degree.

7. The construction cost evaluation method based on the BIM model according to claim 6 is characterized in that: Further comprising the steps of: F1, calculate the cost of the corresponding area with normal completion progress based on the actual comprehensive cost data of all construction areas with normal construction costs; F2, based on the estimated comprehensive cost data of the construction area corresponding to the model construction area data of all normal construction areas, calculate the corresponding current progress model completion area cost; F3, calculates the corresponding cost correction coefficient based on the cost of the normally completed area at the current progress and the cost of the completed area at the current progress model; F4, calculates the corresponding project revised cost data based on the cost revision coefficient and the preliminary project cost data.

8. A construction cost evaluation system based on BIM model, characterized by: include: Positioning module; Image acquisition module; BIM data module; Data processing module; Wherein, the positioning module, the image acquisition module and the BIM data module are respectively data-connected to the data processing module; Wherein, the positioning module includes multiple personnel positioning modules, multiple material positioning modules and multiple equipment positioning modules, and each of the personnel positioning modules, each of the material positioning modules and each of the equipment positioning modules are respectively communicatively connected to the data processing module; The image acquisition module includes a controlled movement module, a camera module, a camera positioning module and an orientation detection module, and the camera module, the camera positioning module and the orientation detection module are respectively arranged in the controlled movement module; The BIM-based construction cost evaluation system further includes a construction cost evaluation strategy, including the following steps: G1, dividing the engineering BIM model data corresponding to the preset target construction project into a plurality of corresponding model construction area data through the BIM data module; G2, determining the corresponding regional construction material demand data, regional construction labor time demand data, and regional construction equipment time demand data through the BIM data module according to the model construction area data; G3, obtains the current material price data, the current type of work hour price data, and the current equipment hour price data; G4, calculating the corresponding regional construction estimated material cost data through the data processing module based on the regional construction material demand data and current material price data corresponding to the model construction area data; G5, calculating the corresponding regional construction estimated labor cost data through the data processing module based on the regional construction labor time demand data corresponding to the model construction area data and the current type of work labor time price data; G6, calculating the corresponding regional construction estimated equipment cost data through the data processing module based on the regional construction equipment labor hour demand data corresponding to the model construction area data and the current equipment labor hour price data; G7, generates estimated comprehensive cost data for the construction area based on the regional construction estimated material cost data, regional construction estimated labor cost data, and regional construction estimated equipment cost data; G8 generates preliminary project cost data based on the estimated comprehensive cost data of the construction areas corresponding to all model construction area data.

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