An engineering cost data collection method and system

By using drones to capture images of building exteriors to construct 3D models and combining these with construction equipment parameters to calculate material consumption, the problem of human factors affecting project cost budgeting has been solved, resulting in more accurate project cost prediction and material cost budgeting.

CN118607062BActive Publication Date: 2025-10-21SHANGHAI KAICHENG CONSTR ENG CONSULTING CO LTD
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Patent Information

Application Number
CN202410766051.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-06-13
Publication Date
2025-10-21
Estimated Expiration
2044-06-13

AI Technical Summary

Technical Problem

The existing construction cost budgeting method is easily affected by human subjective factors and ignores the impact of construction losses on material costs, resulting in low budget accuracy.

Method used

A 3D model of the building's exterior is constructed by taking images of the building's exterior using drones. The model is then compared with a pre-set model to calculate the progress. Material consumption and costs are calculated by combining the working parameters of the construction equipment. A weighted combination method is used to improve the accuracy of the progress calculation, and real-time material prices are used to calculate the cost data.

Benefits of technology

It achieves more accurate engineering cost prediction, improves the precision and logical clarity of material cost budgeting, and has high practicality.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to the technical field of project management, in particular to an engineering cost data collection method and system for realizing cost data prediction of a building project, which comprises the following steps: obtaining engineering construction data by sampling according to a set sampling period; wherein the engineering construction data comprises building appearance images in the sampling period, construction equipment working parameters and material consumption from the start of the engineering construction to the sampling moment; calculating the engineering progress corresponding to the current sampling period based on the building appearance images and the material consumption; calculating the material consumption required for completing the engineering based on the current engineering progress and the construction equipment working parameters; and calculating the engineering cost data based on the material consumption required for completing the engineering and the current material price. The technical scheme of the application has clear logic, high practicability and can effectively improve the accuracy of the engineering material cost budget.
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Description

Technical Field

[0001] The present invention relates to the technical field of project management, and in particular to a method and system for collecting engineering cost data. Background Art

[0002] Construction cost encompasses all expected or actual expenses from project planning to completion, including direct costs such as labor, materials, and equipment, as well as indirect expenses such as corporate overhead, profits, and taxes. Consequently, construction cost data sources are complex, the volume of relevant data is vast, and it is frequently updated. Furthermore, it requires a high degree of professionalism and timeliness. In practice, construction companies or supervisors may fail to provide complete or accurate data for various reasons. Furthermore, the sheer volume of data presents challenges in ensuring its authenticity and reliability. Therefore, obtaining accurate cost data remains a challenge.

[0003] Currently, existing methods for obtaining project cost estimates often rely on the estimator's precise measurement and calculation of progress, or on obtaining progress through other methods to calculate estimated costs. This approach relies on the estimator's experience, resulting in cost estimates that are subject to subjective factors and lack high accuracy. Furthermore, budgeting based solely on progress calculations ignores the impact of construction losses on material costs, further widening the gap between the estimated cost and the actual cost. Summary of the Invention

[0004] In order to solve the technical problem that the existing method of obtaining construction cost budget is easily affected by human subjective factors and ignores the impact of construction loss on material costs, resulting in low accuracy of the obtained construction cost budget, the purpose of the present invention is to provide a construction cost data collection method and system. The technical solutions adopted are as follows:

[0005] A method for collecting construction cost data, for realizing construction cost data prediction of a construction project, comprising:

[0006] According to the set sampling period, the engineering construction data is sampled; wherein the engineering construction data includes: the building appearance image within the sampling period, the working parameters of the construction equipment, and the material consumption from the start of the engineering construction to the sampling time;

[0007] Based on the building appearance image and material consumption, the project progress corresponding to the current sampling period is calculated;

[0008] Based on the working parameters of the construction equipment, calculate the amount of materials needed to complete the project based on the current project progress;

[0009] The project cost data is calculated based on the amount of materials required to complete the current project and the current material prices.

[0010] Furthermore, the building appearance image is collected as follows:

[0011] The drone cruise route is designed so that within one sampling period, the drone flies around the building under construction according to the designed cruise route, takes all-round and multi-angle images of the building under construction, and obtains images of the building's appearance.

[0012] Furthermore, based on the building appearance image and material consumption, the project progress corresponding to the current sampling period is calculated, including:

[0013] Based on the building appearance image, a three-dimensional model of the building under construction is constructed in the same proportion as the preset complete building model, and the three-dimensional model of the building under construction is compared with the preset complete building model to calculate the volume ratio of the three-dimensional model of the building under construction to the preset complete building model, and the calculated volume ratio is used as the first project progress;

[0014] Calculate the ratio of current material consumption to the preset design consumption of building materials as the second project progress;

[0015] The first project progress and the second project progress are weightedly combined to obtain the project progress corresponding to the current sampling period; wherein, when the first project progress and the second project progress are weightedly combined, the greater the correlation between the first project progress and the second project progress, the greater the weight of the first project progress.

[0016] Furthermore, the correlation between the first project progress and the second project progress is calculated as follows:

[0017] Constructing a first progress vector; wherein the first progress vector includes two elements, the first element of the first progress vector is the number 1, and the second element is the first project progress increment corresponding to the current sampling period; the first project progress increment is the difference between the first project progress corresponding to the current sampling period and the first project progress corresponding to the previous sampling period;

[0018] Constructing a second progress vector; wherein the second progress vector includes two elements, the first element of the second progress vector is the number 1, and the second element is the second project progress increment corresponding to the current sampling period; the second project progress increment is the difference between the second project progress corresponding to the current sampling period and the second project progress corresponding to the previous sampling period;

[0019] The cosine similarity between the first progress vector and the second progress vector is calculated, and the calculated cosine similarity between the first progress vector and the second progress vector is used as the correlation between the first project progress and the second project progress.

[0020] Furthermore, the construction equipment is a crane, and the working parameters of the construction equipment include: number of operations, operating time, power consumption and working power curve.

[0021] Furthermore, the calculation of the amount of materials required to complete the project based on the current project progress based on the working parameters of the construction equipment includes:

[0022] Calculate the average power of the construction equipment in a sampling period based on the working power curve of the construction equipment; and calculate the effective workload of the construction equipment in the current period based on the number of operations, operation time and average power of the construction equipment;

[0023] Calculate the operating efficiency of the construction equipment in the current cycle based on the effective workload of the construction equipment in the current cycle; wherein the operating efficiency refers to the effective workload required for the construction equipment to complete a unit of engineering progress;

[0024] Calculate the remaining progress of the project based on the current progress of the project, and calculate the effective workload that the construction equipment needs to complete in order to complete the remaining progress of the project based on the current operating efficiency of the construction equipment;

[0025] Based on the running time and effective workload of the construction equipment in the current sampling period, calculate the time required for the construction equipment to complete a unit of effective workload in the current sampling period. Based on the time required for the construction equipment to complete a unit of effective workload in the current sampling period and the effective workload that the construction equipment needs to complete in order to complete the current remaining project progress, calculate the time that the construction equipment needs to run in order to complete the current remaining project progress.

[0026] Obtain the amount of materials consumed in the current sampling period, and calculate the amount of materials consumed per unit time of construction equipment operation based on the amount of materials consumed in the current sampling period and the operating time of the construction equipment; and calculate the amount of materials required to complete the current remaining project progress based on the amount of materials consumed per unit time of construction equipment operation and the time the construction equipment needs to run to complete the current remaining project progress.

[0027] Furthermore, the calculation of the average power of the construction equipment within a sampling period based on the working power curve of the construction equipment includes:

[0028] The duration corresponding to the complete shortest curve in the working power curve of the construction equipment in the current sampling period is taken as the standard duration, and the same curve is intercepted for the working power curves of other durations according to the said standard duration. Then, the intercepted working power curves are averaged to obtain the average power curve, and the average power is calculated based on the said average power curve.

[0029] Furthermore, the calculation formula for the effective workload of construction equipment in the current cycle is:

[0030]

[0031] Where w i represents the effective workload of the construction equipment in the i-th sampling period, i>2; Q i represents the power consumption of the construction equipment in the i-th sampling period; N i represents the number of times the construction equipment runs in the i-th sampling period; exp represents the exponential function with the natural constant e as the base; P i represents the average power of the construction equipment in the i-th sampling period; Δd i Indicates the engineering progress increment of the i-th sampling period, Δd i =d i -d i-1 , d u Indicates the project progress corresponding to the i-th sampling period, d i-1 Indicates the project progress corresponding to the i-1th sampling period; Δd max Indicates the highest engineering progress increment in the historical sampling period; P m Indicates the average power of construction equipment during the sampling period corresponding to the highest project progress increment.

[0032] Furthermore, based on the amount of materials needed to complete the current project and the current material prices, the project cost data is calculated, including:

[0033] Calculate the construction cost data required to complete the current project based on the amount of materials required to complete the current project and the current material prices;

[0034] The engineering cost data that still needs to be spent to complete the current project is superimposed with the engineering cost data that has been generated for the current project to serve as the currently calculated engineering cost data.

[0035] A construction cost data collection system for realizing construction cost data prediction of construction projects, comprising:

[0036] The data acquisition module is used to sample and obtain construction data according to a set sampling period; wherein the construction data includes: building appearance images within the sampling period, construction equipment operating parameters, and material consumption from the start of construction to the sampling time;

[0037] A project progress calculation module, configured to calculate the project progress corresponding to the current sampling period based on the building appearance images and material consumption collected by the data collection module;

[0038] A material consumption calculation module is used to calculate the amount of material required to complete the project based on the current project progress based on the construction equipment working parameters collected by the data collection module;

[0039] The project cost data calculation module is used to calculate the project cost data based on the amount of materials that need to be consumed to complete the current project and the current material prices calculated by the material consumption calculation module.

[0040] The present invention has the following beneficial effects:

[0041] This method uses multi-angle images of the building's exterior during construction to create a 3D model of the building in progress. This model is then compared with the designed, complete building model to determine real-time construction progress. The effective workload is then calculated based on the operating parameters of the construction equipment. This effective workload is then used to calculate the amount of materials required to complete the remaining project. Finally, the construction cost is determined based on the real-time optimal price. This method, using building exterior images and construction equipment operating parameters, enables material cost estimation. Its implementation is logically clear, highly practical, and effectively improves the accuracy of material cost estimation. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0043] Figure 1 This is a schematic diagram of the execution flow of the engineering cost data collection method;

[0044] Figure 2 This is the structural block diagram of the engineering cost data collection system. DETAILED DESCRIPTION

[0045] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following is a detailed description of a method and system for collecting engineering cost data proposed in accordance with the present invention, its specific implementation method, structure, features and effects, in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present invention belongs.

[0046] First embodiment

[0047] The specific scheme of the method for collecting construction cost data provided by the present invention is described in detail below with reference to the accompanying drawings.

[0048] A method for collecting construction cost data, which is targeted at the following scenarios: material cost data collection and cost forecasting in construction projects; Figure 1 As shown in FIG, the execution steps of the engineering cost data collection method are as follows:

[0049] S1. Sampling construction data according to a set sampling period; wherein the construction data includes: building appearance images within the sampling period, construction equipment operating parameters, and material consumption from the start of construction to the sampling time.

[0050] It should be noted that, for the building appearance image, this embodiment obtains it by drone photography, and its specific implementation method is: designing a drone cruise route so that the drone flies around the building under construction according to the designed cruise route within a sampling period, and takes all-round and multi-angle images of the building under construction to obtain a complete building appearance image. For the construction equipment working parameters, this embodiment collects the corresponding construction equipment working parameters by installing sensors on the construction equipment, and the sampling frequency of the sensors in different collection cycles remains consistent; specifically, the construction equipment in this embodiment refers to a crane, and the obtained construction equipment working parameters include: number of operations, operating time, power consumption, and working power curve. For material consumption, this embodiment obtains it based on billing data during the construction process.

[0051] S2, based on the building appearance image and material consumption, calculate the project progress corresponding to the current sampling period.

[0052] Specifically, in this embodiment, the implementation process of the above S2 is as follows:

[0053] S21, based on the building appearance image, constructing a three-dimensional model of the building under construction that is proportional to the preset complete building model, comparing the three-dimensional model of the building under construction with the preset complete building model, calculating the volume ratio of the three-dimensional model of the building under construction to the preset complete building model, and using the calculated volume ratio as the first project progress.

[0054] The complete process of regularly capturing images and performing 3D modeling using a drone is referred to herein as a sampling cycle. Furthermore, it should be noted that this embodiment periodically utilizes a drone to capture multi-angle images of the building's exterior along a predetermined route, transmits the captured image data to a central processor, and performs operations such as sparse point cloud reconstruction, dense point cloud reconstruction, point cloud semantic segmentation, and component semantic modeling, thereby obtaining a 3D model of the building during actual construction. By comparing this model with the complete 3D model of the building designed in the architectural drawings, the current actual project progress and, furthermore, the progress of the unfinished project can be determined. 3D modeling based on building images can be achieved using existing technologies, which will not be further elaborated in this embodiment.

[0055] S22, calculating the ratio of the current material consumption to the preset design consumption of the building materials as the second project progress.

[0056] It should be noted that, during the construction of certain projects, external changes may not be obvious or even remain unchanged, but the overall progress is still increasing. Therefore, it is impossible to obtain an accurate project progress by performing 3D modeling based solely on the building exterior image. In this regard, this embodiment further calculates the project progress based on material consumption. Specifically, the total amount of materials nt required for the entire project construction is obtained based on design drawings and documents. After calculating the first project progress, the material consumption from the start of construction to the current moment is obtained based on transportation orders, consumption records, etc., and then the second project progress is calculated. The formula is as follows:

[0057]

[0058] Among them, d2 i Indicates the progress of the second project corresponding to the i-th sampling period; ny i It represents the material consumption from the start of construction to the sampling moment corresponding to the i-th sampling period.

[0059] S23, performing a weighted combination of the first project progress and the second project progress to obtain a project progress corresponding to the current sampling period; wherein, when performing the weighted combination of the first project progress and the second project progress, the greater the correlation between the first project progress and the second project progress, the greater the weight of the first project progress; the formula is expressed as:

[0060] d i =α×d1 i +(1-α)×d2 i ;

[0061] Where, d i Indicates the final calculated project progress corresponding to the i-th sampling period; d1 iIndicates the progress of the first project corresponding to the i-th sampling period; α is the weighting coefficient used to balance d1 i with d2 i The relationship between d1 i with d2 i The correlation between d1 and i with d2 i The greater the correlation, the more consistent the trend of the progress calculated according to material consumption is with that calculated according to the three-dimensional model. i Calculate the final project progress; d1 i with d2 i The smaller the correlation, the greater the difference in trend between the progress calculated based on material consumption and the progress calculated based on the 3D model. In other words, the building appearance is not sufficient to reflect the actual progress changes. In this case, it is more necessary to rely on the progress calculated based on material consumption to determine the true project progress.

[0062] The calculation method of the correlation between the progress of the first project and the progress of the second project is:

[0063] Constructing a first progress vector; wherein the first progress vector includes two elements, the first element of the first progress vector is the number 1, and the second element is the first project progress increment corresponding to the current sampling period; the first project progress increment is the difference between the first project progress corresponding to the current sampling period and the first project progress corresponding to the previous sampling period;

[0064] Constructing a second progress vector; wherein the second progress vector includes two elements, the first element of the second progress vector is the number 1, and the second element is the second project progress increment corresponding to the current sampling period; the second project progress increment is the difference between the second project progress corresponding to the current sampling period and the second project progress corresponding to the previous sampling period;

[0065] Calculate the cosine similarity between the first progress vector and the second progress vector, and use the calculated cosine similarity between the first progress vector and the second progress vector as the correlation between the first project progress and the second project progress. The formula is expressed as:

[0066]

[0067] Where, Δd1 i Indicates the first engineering progress increment corresponding to the i-1th sampling period, Δd1 i =d1 i -d1 i-1 , d1 i-1 Indicates the progress of the first project corresponding to the i-1th sampling period; Δd2 iIndicates the second engineering progress increment corresponding to the i-1th sampling period, Δd2 i =d2 i -d2 i-1 , d2 i-1 Indicates the progress of the second project corresponding to the i-1th sampling period.

[0068] S3, based on the working parameters of the construction equipment, calculate the amount of materials that need to be consumed to complete the project based on the current project progress.

[0069] It's important to note that construction sites typically employ a variety of lifting equipment, such as tower cranes, to ensure the vertical and horizontal transport of materials. The use of lifting equipment to move construction materials is unavoidable during construction, so the workload of this type of equipment indirectly reflects the consumption of construction materials. The greater the total workload of the lifting equipment and the more materials transported, the more materials consumed in the project. The workload of a lifting equipment is related to the number of lifts it performs and its power consumption: the more lifts it performs and the greater its power consumption, the greater the workload of the equipment.

[0070] Therefore, after obtaining the progress of the project, the effective workload of the current cycle can be calculated through the working parameters of the construction equipment. The principle is to obtain the basic workload of the equipment based on the number of operations and power consumption of the construction equipment. However, the workload of the equipment determined in this way is not accurate, so it is necessary to correct the basic workload obtained (the correction method is described in detail below) to obtain the actual effective workload. After obtaining the actual effective workload, the operating efficiency of the equipment can be further obtained, that is, the effective workload of the equipment corresponding to each project progress, and the effective workload that the equipment needs to complete if it is to be completed. If the equipment can maintain its current working efficiency until the end of the project, then the time the equipment needs to run can be estimated. Generally, the transportation volume of materials for lifting equipment is a stable process, so the amount of materials that need to be consumed to complete the project can be calculated based on the time the equipment needs to run. Specifically, in this embodiment, the implementation process of the above S3 is as follows:

[0071] S31, calculating the average power of the construction equipment within a sampling period based on the working power curve of the construction equipment.

[0072] It should be noted that, within a sampling period, since the time and load of each operation of the lifting equipment are different, it is necessary to average the working power curve of each lifting equipment operation, and use the average power value to represent the equipment power change within a sampling period. The specific method of averaging is: for the working power curve within a sampling period, the duration of the shortest complete curve is used as the standard duration, and the same curve is intercepted for other duration curves. These curves are then averaged to obtain the average power curve of the sampling period, and the average power is then obtained using the average power curve.

[0073] S32, calculating the effective workload of the construction equipment in the current cycle based on the number of operations, operation time, and average power of the construction equipment; wherein the calculation formula for the effective workload of the construction equipment in the current cycle is:

[0074]

[0075] Where w i represents the effective workload of the construction equipment in the i-th sampling period, i>2; Q i represents the power consumption of the construction equipment in the i-th sampling period; N i represents the number of times the construction equipment runs in the i-th sampling period; exp represents the exponential function with the natural constant e as the base; P i represents the average power of the construction equipment in the i-th sampling period; Δd i Indicates the engineering progress increment of the i-th sampling period, Δd i =d i -d i-1 , d i Indicates the project progress corresponding to the i-th sampling period, d i-1 Indicates the project progress corresponding to the i-1th sampling period; Δd max Indicates the highest engineering progress increment in the historical sampling period; P m Indicates the average power of construction equipment during the sampling period corresponding to the highest project progress increment.

[0076] Furthermore, it should be noted that Q i ×N iRepresents the basic workload of the equipment; however, the workload of the equipment determined in this way is not accurate, so it is necessary to correct it to evaluate the effective workload. Specifically, in order to evaluate the effective workload in the current sampling period, it is necessary to compare the work efficiency of the current sampling period with the highest work efficiency in history. The more the work efficiency of the current sampling period is greater than the highest work efficiency in history, the more effective workload of the current sampling period is; conversely, the more the work efficiency of the current sampling period is less than the highest work efficiency in history, the less effective workload of the current sampling period is. Among them, the calculation method of the work efficiency of each sampling period is the ratio of the current progress increment to the equipment power.

[0077] S33, based on the effective workload of the construction equipment in the current cycle, calculating the operating efficiency of the construction equipment in the current cycle; wherein the operating efficiency refers to the effective workload required for the construction equipment to complete a unit of project progress, and the formula is expressed as:

[0078]

[0079] Where η i Represents the operating efficiency of the construction equipment in the i-th sampling period.

[0080] S34, based on the current project progress, calculate the remaining project progress and calculate the effective workload that the construction equipment needs to complete in order to complete the current remaining project progress based on the current operating efficiency of the construction equipment. The formula is expressed as:

[0081]

[0082] Where, It represents the effective workload that the construction equipment needs to complete after the i-th sampling period in order to complete the current remaining project progress.

[0083] S35, based on the operating time and effective workload of the construction equipment in the current sampling period, calculate the time required for the construction equipment to complete a unit of effective workload in the current sampling period. Based on the time required for the construction equipment to complete a unit of effective workload in the current sampling period and the effective workload that the construction equipment needs to complete in order to complete the current remaining project progress, calculate the time that the construction equipment needs to operate in order to complete the current remaining project progress. The formula is:

[0084]

[0085] Where, It represents the time that the construction equipment needs to run after the i-th sampling period in order to complete the remaining project progress; t i Represents the operating time of the construction equipment in the i-th sampling period.

[0086] S36, obtaining the amount of material consumed in the current sampling period, and calculating the amount of material consumed per unit time of the construction equipment operation based on the amount of material consumed in the current sampling period and the operating time of the construction equipment; and calculating the amount of material H required to complete the remaining project progress based on the amount of material consumed per unit time of the construction equipment operation and the time the construction equipment needs to operate to complete the remaining project progress. The formula is:

[0087]

[0088] Where r i Represents the amount of material consumed in the i-th sampling period.

[0089] S4, based on the amount of materials that need to be consumed to complete the current project and the current material prices, calculate the project cost data.

[0090] It should be noted that since the price of materials fluctuates dynamically, in order to obtain the final material cost, we first need to obtain the real-time material unit price, and then obtain the final estimated material cost, so as to obtain the dynamic total cost of construction materials C:

[0091] C=C0+H×p i ;

[0092] Where C0 represents the construction cost of the current project; p i Indicates the current best price of the material.

[0093] By following these steps, you can determine the actual material cost in each sampling period based on the actual material consumption and the respective material costs. This automatically updates the material cost, tracks project progress, and achieves cost optimization.

[0094] In summary, this embodiment provides a method for collecting construction cost data. This method uses multi-angle images of a building's exterior during construction to create a 3D model, which is then compared with the designed complete building model to obtain real-time construction progress. The effective workload is then calculated based on the operating parameters of the construction equipment. The effective workload is then used to calculate the remaining material required to complete the project. Finally, the construction cost is determined based on the real-time optimal price. This method, using building exterior images and construction equipment operating parameters, enables material cost estimation. Its implementation is logically clear, highly practical, and effectively improves the accuracy of material cost estimation.

[0095] Second embodiment

[0096] The specific scheme of the engineering cost data collection system provided by the present invention is described in detail below with reference to the accompanying drawings.

[0097] The structure of the engineering cost data collection system is as follows Figure 2 As shown, it includes the following modules:

[0098] The data acquisition module is used to sample and obtain construction data according to a set sampling period; wherein the construction data includes: building appearance images within the sampling period, construction equipment operating parameters, and material consumption from the start of construction to the sampling time;

[0099] A project progress calculation module, configured to calculate the project progress corresponding to the current sampling period based on the building appearance images and material consumption collected by the data collection module;

[0100] A material consumption calculation module is used to calculate the amount of material required to complete the project based on the current project progress based on the construction equipment working parameters collected by the data collection module;

[0101] The project cost data calculation module is used to calculate the project cost data based on the amount of materials that need to be consumed to complete the current project and the current material prices calculated by the material consumption calculation module.

[0102] It should be noted that, for the sake of convenience, Figure 2 Only the main components of the construction cost data collection system are shown. Furthermore, the construction cost data collection system of this embodiment corresponds to the construction cost data collection method of the first embodiment described above. The functions implemented by each functional module in the construction cost data collection system of this embodiment correspond one-to-one to each process step in the construction cost data collection method of the first embodiment described above; therefore, detailed descriptions thereof will not be repeated here.

[0103] In addition, it should be noted that the above is only a preferred embodiment of the present invention. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-tasking and parallel processing are also possible or may be advantageous. Moreover, although the preferred embodiments of the present invention have been described, it is a person of ordinary skill in the art, once the basic creative concept of the present invention is known, several improvements and modifications can be made without departing from the principles of the present invention, and these improvements and modifications should also be regarded as the scope of protection of the present invention. Therefore, the appended claims are intended to be interpreted as including the preferred embodiment and all changes and modifications that fall within the scope of the embodiments of the present invention.

Claims

1. A method for collecting construction cost data, used to predict construction cost data, characterized in that: include: According to the set sampling period, the engineering construction data is sampled; wherein the engineering construction data includes: the building appearance image within the sampling period, the working parameters of the construction equipment, and the material consumption from the start of the engineering construction to the sampling time; Based on the building appearance image and material consumption, the project progress corresponding to the current sampling period is calculated; Based on the working parameters of the construction equipment, calculate the amount of materials needed to complete the project based on the current project progress; Calculate the project cost data based on the amount of materials needed to complete the current project and the current material prices; The construction equipment is a crane, and the working parameters of the construction equipment include: number of operations, operation time, power consumption and working power curve; The calculation of the amount of materials required to complete the project based on the current project progress, based on the working parameters of the construction equipment, includes: Calculate the average power of the construction equipment in a sampling period based on the working power curve of the construction equipment; and calculate the effective workload of the construction equipment in the current period based on the number of operations, operation time and average power of the construction equipment; Calculate the operating efficiency of the construction equipment in the current cycle based on the effective workload of the construction equipment in the current cycle; wherein the operating efficiency refers to the effective workload required for the construction equipment to complete a unit of engineering progress; Calculate the remaining progress of the project based on the current progress of the project, and calculate the effective workload that the construction equipment needs to complete in order to complete the remaining progress of the project based on the current operating efficiency of the construction equipment; Based on the running time and effective workload of the construction equipment in the current sampling period, calculate the time required for the construction equipment to complete a unit of effective workload in the current sampling period. Based on the time required for the construction equipment to complete a unit of effective workload in the current sampling period and the effective workload that the construction equipment needs to complete in order to complete the current remaining project progress, calculate the time that the construction equipment needs to run in order to complete the current remaining project progress. Obtain the amount of materials consumed during the current sampling period, and calculate the amount of materials consumed per unit time of construction equipment operation based on the amount of materials consumed during the current sampling period and the operating time of the construction equipment; and calculate the amount of materials required to complete the remaining project progress based on the amount of materials consumed per unit time of construction equipment operation and the time the construction equipment needs to operate to complete the remaining project progress; Calculating the average power of the construction equipment within a sampling period based on the working power curve of the construction equipment includes: The duration corresponding to the shortest complete curve in the working power curve of the construction equipment in the current sampling period is used as the standard duration. The same curves are intercepted for the working power curves of other durations according to the standard duration. Then, the intercepted working power curves are averaged to obtain an average power curve, and the average power is calculated based on the average power curve. The calculation formula for the effective workload of construction equipment in the current cycle is: ; Where, Indicates that construction equipment is i The effective workload within a sampling period is ; Indicates that construction equipment is i Power consumption within a sampling period; Indicates that construction equipment is i Number of runs within a sampling period; represents an exponential function with the natural constant e as the base; Indicates that construction equipment is i The average power within a sampling period; Indicates the i The engineering progress increment of a sampling period, , Indicates the i The project progress corresponding to each sampling period, Indicates the i -Project progress corresponding to one sampling period; Indicates the highest engineering progress increment in the historical sampling period; Indicates the average power of construction equipment during the sampling period corresponding to the highest project progress increment.

2. The method for collecting construction cost data according to claim 1, wherein: The building appearance image is collected in the following way: The drone cruise route is designed so that within one sampling period, the drone flies around the building under construction according to the designed cruise route, takes all-round and multi-angle images of the building under construction, and obtains images of the building's appearance.

3. The method for collecting construction cost data according to claim 1, wherein: Based on the building appearance image and material consumption, the project progress corresponding to the current sampling period is calculated, including: Based on the building appearance image, a three-dimensional model of the building under construction is constructed in the same proportion as the preset complete building model, and the three-dimensional model of the building under construction is compared with the preset complete building model to calculate the volume ratio of the three-dimensional model of the building under construction to the preset complete building model, and the calculated volume ratio is used as the first project progress; Calculate the ratio of current material consumption to the preset design consumption of building materials as the second project progress; The first project progress and the second project progress are weightedly combined to obtain the project progress corresponding to the current sampling period; wherein, when the first project progress and the second project progress are weightedly combined, the greater the correlation between the first project progress and the second project progress, the greater the weight of the first project progress.

4. The method for collecting construction cost data according to claim 3, wherein: The correlation between the first project progress and the second project progress is calculated as follows: Constructing a first progress vector; wherein the first progress vector includes two elements, the first element of the first progress vector is the number 1, and the second element is the first project progress increment corresponding to the current sampling period; the first project progress increment is the difference between the first project progress corresponding to the current sampling period and the first project progress corresponding to the previous sampling period; Constructing a second progress vector; wherein the second progress vector includes two elements, the first element of the second progress vector is the number 1, and the second element is the second project progress increment corresponding to the current sampling period; the second project progress increment is the difference between the second project progress corresponding to the current sampling period and the second project progress corresponding to the previous sampling period; The cosine similarity between the first progress vector and the second progress vector is calculated, and the calculated cosine similarity between the first progress vector and the second progress vector is used as the correlation between the first project progress and the second project progress.

5. The method for collecting construction cost data according to any one of claims 1 to 4, wherein: Based on the amount of materials needed to complete the current project and the current material prices, the project cost data is calculated, including: Calculate the construction cost data required to complete the current project based on the amount of materials required to complete the current project and the current material prices; The engineering cost data that still needs to be spent to complete the current project is superimposed with the engineering cost data that has been generated for the current project to serve as the currently calculated engineering cost data.

6. A system for collecting construction cost data for implementing the construction cost data collection method according to any one of claims 1 to 5, characterized in that: include: The data acquisition module is used to sample and obtain construction data according to a set sampling period; wherein the construction data includes: building appearance images within the sampling period, construction equipment operating parameters, and material consumption from the start of construction to the sampling time; A project progress calculation module, configured to calculate the project progress corresponding to the current sampling period based on the building appearance images and material consumption collected by the data collection module; A material consumption calculation module is used to calculate the amount of material required to complete the project based on the current project progress based on the construction equipment working parameters collected by the data collection module; The project cost data calculation module is used to calculate the project cost data based on the amount of materials that need to be consumed to complete the current project and the current material prices calculated by the material consumption calculation module.

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