A construction progress assessment system and method based on multi-source data

Abstract

The application relates to the technical field of construction progress evaluation, and aims to provide a construction progress evaluation system and method based on multi-source data, which comprises the following steps: dividing a construction site into multiple regions; extracting building features to be constructed from construction drawings to obtain a building feature set to be constructed; wherein each building feature is configured with a construction difficulty coefficient; determining correlation coefficients between construction regions; extracting building features of a construction region from construction data to obtain a building feature subset; determining a progress evaluation coefficient of the building features in the construction region based on the building features in the building feature subset and the construction difficulty coefficient; determining a progress evaluation coefficient of the construction region based on the progress evaluation coefficients of the building features; and determining a comprehensive progress evaluation coefficient of the construction site based on the progress evaluation coefficients of the construction regions and the correlation coefficients between the construction regions. Through the evaluation system of features, regions and the whole field and the correlation coefficients, the scale conversion problem of micro-to-macro progress evaluation is solved.

Description

Technical Field

[0001] This invention relates to the field of construction progress assessment technology, and specifically to a construction progress assessment system and method based on multi-source data. Background Technology

[0002] Traditional construction progress assessment methods typically use macro-level overall progress indicators (such as the percentage of work completed) or micro-level local inspections (such as acceptance records of individual work items) to measure construction progress. However, both methods have significant shortcomings when assessing across different scales:

[0003] Existing methods primarily rely on manually entered partial progress data (such as the completion amount of a certain process), but lack standardized quantification rules. This results in the inability to directly weight and summarize the progress data of different construction units (such as rebar tying and concrete pouring). Assessments based on visual progress methods or milestone nodes only reflect surface data and cannot correlate with the actual completion status of specific building features (such as load-bearing columns and floor slabs), leading to problems such as inaccurate progress reporting or accumulated deviations. In progress extrapolation from micro to macro levels, existing technologies typically employ simple linear weighting, ignoring the nonlinear relationships of construction logic. Summary of the Invention

[0004] The purpose of this invention is to provide a construction progress assessment system and method based on multi-source data, which solves the scale conversion problem from micro to macro progress assessment through a three-level assessment system of features, regions, and the whole site and correlation coefficients.

[0005] This invention is achieved through the following technical solution:

[0006] The first aspect provides a construction progress assessment method based on multi-source data, including the following steps:

[0007] Obtain construction drawings and construction site; based on the construction drawings, divide the construction site into multiple areas to obtain a set of construction areas;

[0008] The building features to be constructed are extracted from the above construction drawings to obtain a set of features to be constructed; each of the above building features is configured with a construction difficulty coefficient;

[0009] Based on the above-mentioned feature set to be constructed, the correlation coefficients between construction areas are determined.

[0010] The construction site was monitored to obtain construction data; the features of the constructed buildings were extracted from the construction data to obtain a set of constructed features; the building features of a construction area were extracted from the set of constructed features to obtain a subset of constructed features.

[0011] Based on the building features in the aforementioned subset of features and the construction difficulty coefficient of the building feature, the progress assessment coefficient of the building feature in the construction area is determined.

[0012] Based on the progress assessment coefficients of each building feature in the construction area of ​​the above-mentioned established feature subset, the progress assessment coefficient of the construction area is determined.

[0013] Based on the progress evaluation coefficients of each construction area and the correlation coefficients between construction areas, the comprehensive progress evaluation coefficient of the construction site is determined.

[0014] For each building feature (such as "beam and column casting" and "pipeline pre-embedding"), a progress assessment coefficient is calculated based on its construction difficulty coefficient (reflecting process complexity, resource consumption, etc.) and actual completion status. Micro-progress data from different processes and with varying levels of difficulty are transformed into standardized, weighted indicators, avoiding the bias of traditional methods that "only count the quantity of work while ignoring construction difficulty." It supports unified quantification of the progress of concealed works (such as underground pipelines) and visible works (such as facades). The overall progress assessment coefficient for the construction area is calculated using the progress assessment coefficients of each building feature in the existing feature subset. Based on construction drawings and the set of features to be built, the logical dependencies between construction areas are analyzed, generating correlation coefficients. The comprehensive progress assessment coefficient not only summarizes the progress of each area but also corrects for the dynamic impact between areas through correlation coefficients, overcoming the limitations of the traditional linear superposition method and reflecting the chain reaction of critical path delays. By continuously comparing the planned feature set with the actual feature set, the progress evaluation coefficient is dynamically updated to achieve closed-loop feedback of the "plan-actual" deviation, avoiding the lag of traditional manual reporting. Micro-data changes (such as sudden delays in a certain area) can be transmitted to macro-assessment in real time, supporting rapid decision-making.

[0015] Furthermore, the aforementioned construction data includes the features of the constructed buildings and the data on materials used;

[0016] Extract the building features and material usage data of the constructed buildings in a construction area from the above construction data;

[0017] Based on the characteristics of the buildings already constructed in the above-mentioned construction area and the construction difficulty coefficient of these building characteristics, the progress assessment coefficient of the construction area is determined.

[0018] Based on the material usage data for the above construction area, a correction factor is determined;

[0019] The progress assessment coefficient for this construction area is corrected using the aforementioned correction factors.

[0020] The aforementioned material usage data serves as an objective quantitative indicator of the construction process. It is cross-validated with the completion status of building features to address the problem of false reporting caused by relying solely on visual or manual data reporting in traditional methods. This can be achieved by comparing the deviation between the actual consumption and the planned consumption. If the deviation exceeds a threshold (e.g., ±10%), the progress assessment coefficient is adjusted proportionally.

[0021] Furthermore, based on the building features in the aforementioned subset of existing features and the construction difficulty coefficient of each building feature, the progress assessment coefficient of that building feature in the construction area is determined. Specific steps include:

[0022] Extract building features of a construction area from the above set of features to be constructed to obtain a subset of features to be constructed; extract the same building features from the subset of features to be constructed and the subset of features already constructed corresponding to the same construction area.

[0023] Calculate the ratio of the extracted building features mentioned above to obtain the built ratio of that building feature;

[0024] Based on the aforementioned existing construction ratio and the construction difficulty coefficient of this building feature, the progress assessment coefficient of this building feature in the construction area is obtained, and the calculation formula is as follows:

[0025]

[0026] in, This represents the progress assessment coefficient for building feature x in construction area n. This represents the area occupied by building feature x in the construction area n within the already constructed feature subset; β represents the area occupied by building feature x in the construction area n of the subset of features to be constructed; x This represents the construction difficulty coefficient of building feature x.

[0027] This method extracts all planned building features for a construction area from the set of features to be built, generating a subset of features to be built; it also extracts completed features for the same area from the set of features already built, generating a subset of features already built; for the same building feature (such as "beams and columns"), it calculates the ratio of its completed area (or quantity) to its planned area (or quantity), quantifying the weighted contribution of this feature to the regional progress using a formula; traditional methods only count "whether it is completed", while this method reflects the partial completion status through the ratio of completed features; the progress contribution of high-difficulty features is amplified, while the contribution of low-difficulty features is suppressed, which is more in line with the logic of actual resource consumption; the overall regional progress is calculated by weighting and summing the progress evaluation coefficients of each feature, avoiding the distortion caused by simple arithmetic averaging.

[0028] Furthermore, based on the progress assessment coefficients of each building feature in the aforementioned subset of existing features within the construction area, the progress assessment coefficient for that construction area is determined. Specific steps include:

[0029] Traverse the above-mentioned subset of existing features to determine the progress assessment coefficient of each building feature in the construction area;

[0030] The progress assessment coefficient for the above-mentioned construction area is calculated using the following formula;

[0031]

[0032] Among them, W n X represents the progress assessment coefficient for construction area n; X represents the total number of building features in the already constructed feature subset.

[0033] Since the differences in construction difficulty are already reflected in the calculation of the progress evaluation coefficient of each building feature, the arithmetic mean is used to achieve unbiased aggregation of the progress of different features, ensuring that each building feature has equal say in the regional progress and avoiding weight distortion caused by repeated weighting during regional aggregation.

[0034] Furthermore, based on the aforementioned feature set to be constructed, the correlation coefficients between construction areas are determined. Specific steps include:

[0035] From the above set of features to be constructed, architectural features spanning multiple construction areas are obtained to form a cross-regional feature set.

[0036] Obtain cross-regional features from any two construction areas from the above cross-regional feature set, and determine the cross-regional features common to the two construction areas;

[0037] Calculate the correlation coefficient between the above construction areas using the following formula.

[0038]

[0039] Among them, G (n,m) This represents the correlation coefficient between construction area n and construction area m; This represents the area occupied by cross-regional feature y in construction area n; B represents the area occupied by cross-regional feature y in construction area m; y y represents the area occupied by cross-regional feature y in the construction site; h represents the total number of cross-regional features shared by construction areas n and m; D represents the total number of cross-regional features in construction area n; E represents the total number of cross-regional features in construction area m.

[0040] Extract building features that require collaboration from multiple regions from the set of features to be built, forming a cross-regional feature set; for any two regions (n, m), find their common cross-regional features, and take their average value to ensure that the correlation coefficients of the two regions are consistent.

[0041] Furthermore, based on the progress assessment coefficients of each construction area and the correlation coefficients between construction areas, the comprehensive progress assessment coefficient of the construction site is determined. Specific steps include:

[0042]

[0043] Where W represents the comprehensive progress evaluation coefficient of the construction site; W mrepresents the progress assessment coefficient for construction area m; N represents the total number of construction areas where construction areas are concentrated.

[0044] By integrating the progress assessment coefficients of each construction area (micro-level) and the correlation coefficients between areas (meso-level), an assessment model reflecting the overall progress of the entire site was constructed; the progress assessment coefficients of each area were weighted by correlation coefficients. This formula reflects positive incentives and negative inhibitions through correlation coefficients. Positive incentives are manifested in that progress improvement in highly correlated areas will lead to an increase in the overall progress score; negative inhibitions are manifested in that delays in highly correlated areas will lower the overall progress score.

[0045] The second aspect provides a construction progress assessment system based on multi-source data, which is used to implement the above-mentioned construction progress assessment method; the construction progress assessment system includes the following steps:

[0046] The data acquisition module is used to acquire construction drawings and construction site data, monitor the construction site, and obtain construction data.

[0047] The division module is connected to the acquisition module. The division module is used to divide the construction site into multiple areas based on the construction drawings to obtain a set of construction areas.

[0048] The processing module, which connects the acquisition module and the segmentation module, is used to perform the following operations:

[0049] Extract the building features to be built from the construction drawings to obtain the set of features to be built; each of the above building features is configured with a construction difficulty coefficient;

[0050] Based on the above-mentioned feature set to be constructed, the correlation coefficients between construction areas are determined.

[0051] The features of the constructed buildings are extracted from the above construction data to obtain the set of constructed features; the features of a construction area are extracted from the set of constructed features to obtain a subset of constructed features.

[0052] Based on the building features in the aforementioned subset of features and the construction difficulty coefficient of the building feature, the progress assessment coefficient of the building feature in the construction area is determined.

[0053] Based on the progress assessment coefficients of each building feature in the construction area of ​​the above-mentioned established feature subset, the progress assessment coefficient of the construction area is determined.

[0054] Based on the progress evaluation coefficients of each construction area and the correlation coefficients between construction areas, the comprehensive progress evaluation coefficient of the construction site is determined.

[0055] Furthermore, the aforementioned construction data includes the characteristics of the constructed buildings, material usage data, and energy consumption data;

[0056] The above processing module is also used to perform the following operations:

[0057] Extract the building characteristics, material usage data, and energy consumption data of the constructed buildings in a construction area from the above construction data;

[0058] Based on the characteristics of the buildings already constructed in the above-mentioned construction area and the construction difficulty coefficient of these building characteristics, the progress assessment coefficient of the construction area is determined.

[0059] Based on the material usage and energy consumption data of the above construction area, a correction factor is determined;

[0060] The progress assessment coefficient for this construction area is corrected using the aforementioned correction factors.

[0061] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0062] For each building feature, a progress assessment coefficient is calculated based on its construction difficulty coefficient and actual completion status. Micro-progress data from different processes and difficulties are transformed into standardized, weighted, and comparable indicators, avoiding the bias of traditional methods that "only count the quantity of work while ignoring construction difficulty." It supports unified quantification of the progress of both concealed and visible works. The overall progress assessment coefficient for the construction area is calculated using the progress assessment coefficients of each building feature in the existing feature subset. Based on construction drawings and the set of features to be built, the logical dependencies between construction areas are analyzed, generating correlation coefficients. The comprehensive progress assessment coefficient not only summarizes the progress of each area but also corrects for dynamic influences between areas through correlation coefficients, overcoming the limitations of the traditional linear superposition method and reflecting the chain reaction of critical path delays. Continuous comparison between the set of features to be built and the set of existing features dynamically updates the progress assessment coefficients, achieving closed-loop feedback of "plan-actual" deviations. This avoids the lag of traditional manual reporting, allowing micro-data changes to be transmitted to macro-assessment in real time, supporting rapid decision-making. Attached Figure Description

[0063] To more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention and should not be considered as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort. In the drawings:

[0064] Figure 1 This is a flowchart. Detailed Implementation

[0065] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the embodiments and accompanying drawings. The illustrative embodiments and descriptions of this invention are only for explaining this invention and are not intended to limit this invention.

[0066] First embodiment:

[0067] Combination Figure 1 A construction progress assessment method based on multi-source data includes the following steps:

[0068] Obtain construction drawings and construction site; based on the construction drawings, divide the construction site into multiple areas to obtain a set of construction areas;

[0069] The building features to be constructed are extracted from the above construction drawings to obtain a set of features to be constructed; each of the above building features is configured with a construction difficulty coefficient;

[0070] Based on the above-mentioned feature set to be constructed, the correlation coefficients between construction areas are determined.

[0071] The construction site was monitored to obtain construction data; the features of the constructed buildings were extracted from the construction data to obtain a set of constructed features; the building features of a construction area were extracted from the set of constructed features to obtain a subset of constructed features.

[0072] Based on the building features in the aforementioned subset of features and the construction difficulty coefficient of the building feature, the progress assessment coefficient of the building feature in the construction area is determined.

[0073] Based on the progress assessment coefficients of each building feature in the construction area of ​​the above-mentioned established feature subset, the progress assessment coefficient of the construction area is determined.

[0074] Based on the progress evaluation coefficients of each construction area and the correlation coefficients between construction areas, the comprehensive progress evaluation coefficient of the construction site is determined.

[0075] For each building feature (such as "beam and column casting" and "pipeline pre-embedding"), a progress assessment coefficient is calculated based on its construction difficulty coefficient (reflecting process complexity, resource consumption, etc.) and actual completion status. Micro-progress data from different processes and with varying levels of difficulty are transformed into standardized, weighted indicators, avoiding the bias of traditional methods that "only count the quantity of work while ignoring construction difficulty." It supports unified quantification of the progress of concealed works (such as underground pipelines) and visible works (such as facades). The overall progress assessment coefficient for the construction area is calculated using the progress assessment coefficients of each building feature in the existing feature subset. Based on construction drawings and the set of features to be built, the logical dependencies between construction areas are analyzed, generating correlation coefficients. The comprehensive progress assessment coefficient not only summarizes the progress of each area but also corrects for the dynamic impact between areas through correlation coefficients, overcoming the limitations of the traditional linear superposition method and reflecting the chain reaction of critical path delays. By continuously comparing the planned feature set with the actual feature set, the progress evaluation coefficient is dynamically updated to achieve closed-loop feedback of the "plan-actual" deviation, avoiding the lag of traditional manual reporting. Micro-data changes (such as sudden delays in a certain area) can be transmitted to macro-assessment in real time, supporting rapid decision-making.

[0076] Second embodiment:

[0077] Based on the first embodiment, the above construction data includes the features of the constructed building, material usage data, and energy consumption data;

[0078] Extract the building characteristics, material usage data, and energy consumption data of the constructed buildings in a construction area from the above construction data;

[0079] Based on the characteristics of the buildings already constructed in the above-mentioned construction area and the construction difficulty coefficient of these building characteristics, the progress assessment coefficient of the construction area is determined.

[0080] Based on the material usage data for the above construction area, a correction factor is determined;

[0081] The progress assessment coefficient for this construction area is corrected using the aforementioned correction factors.

[0082] The aforementioned material usage and energy consumption data serve as objective quantitative indicators of the construction process. They are cross-validated with the completion status of building features to address the problem of false reporting caused by relying solely on visual or manual data reporting in traditional methods. This can be achieved by comparing the deviation between actual consumption and planned consumption (e.g., correction coefficient = actual consumption / planned consumption). If the deviation exceeds a threshold (e.g., ±10%), the progress assessment coefficient is adjusted proportionally. This threshold can be defined according to the actual situation. Furthermore, the rationality of energy consumption per unit progress can be analyzed. Abnormal energy consumption may indicate progress delays or efficiency problems.

[0083] One applicable scenario for reference is that the initial progress assessment coefficient for "wall construction" in a certain area is 0.8, but the cement consumption is only 70% of the plan. The threshold for the correction coefficient is 0.9, and the final progress is adjusted to 0.8 × 0.9 = 0.72. If the energy consumption data shows that the tower crane is running at a high load but the progress is slow, it can indicate a problem with the construction organization, and the progress assessment coefficient needs to be lowered.

[0084] Third embodiment:

[0085] Based on any of the above embodiments, and based on the building features in the aforementioned subset of features and the construction difficulty coefficient of the building feature, the progress evaluation coefficient of the building feature in the construction area is determined. Specific steps include:

[0086] Extract building features of a construction area from the above set of features to be constructed to obtain a subset of features to be constructed; extract the same building features from the subset of features to be constructed and the subset of features already constructed corresponding to the same construction area.

[0087] Calculate the ratio of the extracted building features mentioned above to obtain the built ratio of that building feature;

[0088] The progress assessment coefficient of the building feature in the construction area is obtained by multiplying the aforementioned existing construction ratio and the construction difficulty coefficient of the building feature. The calculation formula is as follows:

[0089]

[0090] in, This represents the progress assessment coefficient for building feature x in construction area n. This represents the area occupied by building feature x in the construction area n within the already constructed feature subset; β represents the area occupied by building feature x in the construction area n of the subset of features to be constructed; x This represents the construction difficulty coefficient of building feature x.

[0091] This method extracts all planned building features for a construction area from the set of features to be built, generating a subset of features to be built; it also extracts completed features for the same area from the set of features already built, generating a subset of features already built; for the same building feature (such as "beams and columns"), it calculates the ratio of its completed area (or quantity) to its planned area (or quantity), quantifying the weighted contribution of this feature to the regional progress using a formula; traditional methods only count "whether it is completed", while this method reflects the partial completion status through the ratio of completed features; the progress contribution of high-difficulty features is amplified, while the contribution of low-difficulty features is suppressed, which is more in line with the logic of actual resource consumption; the overall regional progress is calculated by weighting and summing the progress evaluation coefficients of each feature, avoiding the distortion caused by simple arithmetic averaging.

[0092] Fourth embodiment:

[0093] Based on the third embodiment, the progress assessment coefficient of the construction area is determined based on the progress assessment coefficients of each building feature in the aforementioned established feature subset. The specific steps include:

[0094] Traverse the above-mentioned subset of existing features to determine the progress assessment coefficient of each building feature in the construction area;

[0095] The progress assessment coefficients of all existing building features in the above construction area are summed, and then divided by the total number of building features in the subset of existing features to obtain the progress assessment coefficient for the construction area. The specific formula is as follows:

[0096]

[0097] Among them, W n X represents the progress assessment coefficient for construction area n; X represents the total number of building features in the already constructed feature subset.

[0098] Since the differences in construction difficulty are already reflected in the calculation of the progress evaluation coefficient of each building feature, the arithmetic mean is used to achieve unbiased aggregation of the progress of different features, ensuring that each building feature has equal say in the regional progress and avoiding weight distortion caused by repeated weighting during regional aggregation.

[0099] Fifth embodiment:

[0100] Based on any of the above embodiments, the correlation coefficients between construction areas are determined based on the aforementioned feature set to be constructed. Specific steps include:

[0101] From the above set of features to be constructed, architectural features spanning multiple construction areas are obtained to form a cross-regional feature set.

[0102] From the above cross-regional feature set, obtain the cross-regional features of any two construction areas (construction area n and construction area m), and obtain the corresponding first cross-regional feature set and second cross-regional feature set respectively; determine the cross-regional features common to the two construction areas, and obtain the common cross-regional feature set;

[0103] Obtain the area occupied by the first cross-regional feature in the construction site and construction area n, obtain the area occupied by the second cross-regional feature in the construction site and construction area m, and obtain the area occupied by the common cross-regional feature in the construction site, construction area n and construction area m.

[0104] Divide the area occupied by the first cross-regional feature in construction area n by the area occupied by the first cross-regional feature in the construction site to obtain the first ratio; sum the first ratios of the first cross-regional feature set to obtain the first accumulated value.

[0105] Divide the area occupied by the shared cross-regional feature in construction area n by the area occupied by the shared cross-regional feature in the construction site to obtain the second ratio; sum the second ratios of the shared cross-regional feature set to obtain the second accumulated value.

[0106] Divide the second accumulated value by the first accumulated value to obtain the correlation coefficient between construction area m and construction area n;

[0107] Divide the area occupied by the second cross-regional feature in construction area m by the area occupied by the second cross-regional feature in the construction site to obtain the third ratio; sum the third ratios of the second cross-regional feature set to obtain the third sum value;

[0108] Divide the area occupied by the shared cross-regional feature in construction area m by the area occupied by the shared cross-regional feature in the construction site to obtain the fourth ratio; sum the fourth ratios of the shared cross-regional feature set to obtain the fourth accumulated value.

[0109] Divide the fourth accumulated value by the third accumulated value to obtain the correlation coefficient between construction area n and construction area m.

[0110] The correlation coefficient between the two construction areas is obtained by averaging the correlation coefficients of construction area m to construction area n and construction area n to construction area m. The specific formula is as follows:

[0111]

[0112] Among them, G (n,m) This represents the correlation coefficient between construction area n and construction area m; This represents the area occupied by cross-regional feature y in construction area n; B represents the area occupied by cross-regional feature y in construction area m; y y represents the area occupied by cross-regional feature y in the construction site; h represents the total number of cross-regional features shared by construction areas n and m; D represents the total number of cross-regional features in construction area n; E represents the total number of cross-regional features in construction area m.

[0113] Extract building features that require collaboration from multiple regions from the set of features to be built, forming a cross-regional feature set; for any two regions (n, m), find their common cross-regional features, and take their average value to ensure that the correlation coefficients of the two regions are consistent.

[0114] In a specific implementation, based on the progress evaluation coefficients of each construction area in the above-mentioned construction area cluster and the correlation coefficients between construction areas, the comprehensive progress evaluation coefficient of the construction site is determined. The specific steps include: adding the progress evaluation coefficients of two related construction areas, multiplying them by the correlation coefficients of the two construction areas, accumulating all combinations of construction areas, and dividing by the total number of combinations of construction areas to obtain the comprehensive progress evaluation coefficient of the construction site.

[0115]

[0116] Where W represents the comprehensive progress evaluation coefficient of the construction site; W m represents the progress assessment coefficient for construction area m; N represents the total number of construction areas where construction areas are concentrated.

[0117] By integrating the progress assessment coefficients of each construction area (micro-level) and the correlation coefficients between areas (meso-level), an assessment model reflecting the overall progress of the entire site was constructed; the progress assessment coefficients of each area were weighted by correlation coefficients. This formula reflects positive incentives and negative inhibitions through correlation coefficients. Positive incentives are manifested in that progress improvement in highly correlated areas will lead to an increase in the overall progress score; negative inhibitions are manifested in that delays in highly correlated areas will lower the overall progress score.

[0118] A construction site for reference is provided for the construction of a residential community. According to the construction drawings, the construction area of ​​the residential community includes the main residential building area, a central garden landscape area, and a leisure and fitness area. The architectural features of each construction area are as follows: the main residential building area includes foundation pouring, beam and column pouring, and pipeline laying; the central garden landscape area includes pipeline laying, water tank construction, and tree planting; and the leisure and fitness area includes pipeline laying and facility pre-installation. The construction difficulty coefficients for each architectural feature are: foundation pouring 0.05, beam and column pouring 0.25, pipeline laying 0.2, water tank construction 0.25, tree planting 0.05, and facility pre-installation 0.2.

[0119] The plan includes pouring 100 square meters of foundation, pouring 20 beams and columns (1 square meter each at designated locations), laying 200 meters of pipeline (5 meters per square meter evenly spread across 40 square meters), constructing one water tank (5 square meters in total), planting 50 trees (5 trees per square meter evenly spread across 10 square meters), and pre-burying 10 facilities (1 facility per square meter evenly spread across 20 square meters). Specifically, 20 beams and columns will be poured and 140 meters of pipeline will be laid in the main residential building area, 40 meters of pipeline will be laid in the central garden landscape area, and 20 meters of pipeline will be laid in the leisure and fitness area.

[0120] On the 15th day of construction, construction data for the main residential building area, the central garden landscape area, and the leisure and fitness area were collected. The construction data is as follows: 100 square meters of foundation pouring, 18 square meters of beam and column pouring, and 28 square meters of pipeline laying were completed in the main residential building area; 6 square meters of pipeline laying, 3 square meters of water pool construction, and 6 square meters of tree planting were completed in the central garden landscape area; and 3 square meters of pipeline laying was completed in the leisure and fitness area.

[0121] Based on the above conditions, it can be seen that the only cross-regional characteristic is pipeline laying. The correlation coefficients between the construction areas are calculated as follows: the correlation coefficient between the main residential building area and the central garden landscape area is... The correlation coefficient between the main residential building area and the leisure and fitness area is The correlation coefficient between the central garden landscape area and the leisure and fitness area is

[0122] Calculate the progress assessment coefficients for each building feature in the main residential building area:

[0123] Foundation pouring:

[0124] Beam and column casting:

[0125] Pipeline laying:

[0126] Calculate the progress assessment coefficients for each building feature in the central garden landscape area:

[0127] Tree planting:

[0128] Pool construction:

[0129] Pipeline laying:

[0130] Calculate the progress assessment coefficients for each building feature in the leisure and fitness area:

[0131] Pre-installation of facilities:

[0132] Pipeline laying:

[0133] Calculate the progress assessment coefficient for each construction area:

[0134] Main area of ​​residential building:

[0135] Central Garden Landscape Area:

[0136] Leisure and fitness area:

[0137] The overall progress assessment coefficient for the residential community is calculated to be W = 0.208.

[0138] Sixth embodiment:

[0139] A construction progress assessment system based on multi-source data is provided to implement the aforementioned construction progress assessment method. The system includes the following steps:

[0140] The data acquisition module is used to acquire construction drawings and construction site data, monitor the construction site, and obtain construction data.

[0141] The division module is connected to the acquisition module. The division module is used to divide the construction site into multiple areas based on the construction drawings to obtain a set of construction areas.

[0142] The processing module, which connects the acquisition module and the segmentation module, is used to perform the following operations:

[0143] Extract the building features to be built from the construction drawings to obtain the set of features to be built; each of the above building features is configured with a construction difficulty coefficient;

[0144] Based on the above-mentioned feature set to be constructed, the correlation coefficients between construction areas are determined.

[0145] The features of the constructed buildings are extracted from the above construction data to obtain the set of constructed features; the features of a construction area are extracted from the set of constructed features to obtain a subset of constructed features.

[0146] Based on the building features in the aforementioned subset of features and the construction difficulty coefficient of the building feature, the progress assessment coefficient of the building feature in the construction area is determined.

[0147] Based on the progress assessment coefficients of each building feature in the construction area of ​​the above-mentioned established feature subset, the progress assessment coefficient of the construction area is determined.

[0148] Based on the progress evaluation coefficients of each construction area and the correlation coefficients between construction areas, the comprehensive progress evaluation coefficient of the construction site is determined.

[0149] In a specific embodiment, the aforementioned construction data includes the features of the constructed building, material usage data, and energy consumption data;

[0150] The above processing module is also used to perform the following operations:

[0151] Extract the building characteristics, material usage data, and energy consumption data of the constructed buildings in a construction area from the above construction data;

[0152] Based on the characteristics of the buildings already constructed in the above-mentioned construction area and the construction difficulty coefficient of these building characteristics, the progress assessment coefficient of the construction area is determined.

[0153] Based on the material usage data for the above construction area, a correction factor is determined;

[0154] The progress assessment coefficient for this construction area is corrected using the aforementioned correction factors.

[0155] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A construction progress assessment method based on multi-source data, characterized in that, Includes the following steps: Obtain construction drawings and construction site; based on the construction drawings, divide the construction site into multiple areas to obtain a set of construction areas; The building features to be constructed are extracted from the construction drawings to obtain a set of features to be constructed; wherein each building feature is configured with a construction difficulty coefficient; Determine the correlation coefficients between construction areas based on the aforementioned feature set to be constructed: From the set of features to be constructed, architectural features spanning multiple construction areas are obtained to form a cross-regional feature set; Obtain cross-regional features from any two construction areas from the cross-regional feature set, and determine the cross-regional features common to the two construction areas; The correlation coefficient between the construction areas is calculated using the following formula. ， Indicates the construction area and construction area The correlation coefficient between them; Represents cross-regional feature sets. In the construction area Area occupied; Represents cross-regional feature sets. In the construction area Area occupied; Indicates cross-regional features The area occupied by the construction site; Indicates the construction area and construction area The total number of shared cross-regional features; Indicates the construction area The total number of cross-regional features; Indicates the construction area The total number of cross-regional features; The construction site is monitored to obtain construction data; features of constructed buildings are extracted from the construction data to obtain a set of constructed features; building features of a construction area are extracted from the set of constructed features to obtain a subset of constructed features. Based on the building features in the established feature subset and the construction difficulty coefficient of each building feature, determine the progress assessment coefficient of each building feature in the construction area: Extract building features of a construction area from the set of features to be constructed to obtain a subset of features to be constructed; extract the same building features from the subset of features to be constructed and the subset of features already constructed corresponding to the same construction area; Calculate the ratio of the extracted building features to obtain the built ratio of that building feature; By combining the existing construction ratio and the construction difficulty coefficient of the building feature, the progress assessment coefficient of the building feature in the construction area is obtained. The calculation formula is as follows: ， Indicate architectural features In the construction area The progress assessment coefficient; Represents building features in a subset of existing features. In the construction area Area occupied; Represents building features in the subset of features to be built. In the construction area Area occupied; Indicate architectural features The construction difficulty coefficient; Based on the progress assessment coefficients of each building feature in the established feature subset within the construction area, the progress assessment coefficient for that construction area is determined as follows: Traverse the established feature subset to determine the progress evaluation coefficient of each building feature in the construction area; The progress assessment coefficient for the construction area is calculated using the following formula; ， Indicates the construction area The progress assessment coefficient; This represents the total number of building features in the already constructed feature subset; Based on the progress assessment coefficients of each construction area in the aforementioned construction area cluster and the correlation coefficients between construction areas, the comprehensive progress assessment coefficient of the construction site is determined: ， This represents the overall progress assessment coefficient for the construction site. Indicates the construction area The progress assessment coefficient; This indicates the total number of construction areas where construction is concentrated.

2. The construction progress assessment method according to claim 1, characterized in that, The construction data includes the features of the constructed buildings and the material usage data; Extract the building features and material usage data of a construction area from the construction data; Based on the existing building features in the construction area and the construction difficulty coefficient of those building features, the progress assessment coefficient of the construction area is determined. Based on the material usage data of the construction area, a correction factor is determined; The progress assessment coefficient for the construction area is corrected using the aforementioned correction factor.

3. A construction progress assessment system based on multi-source data, characterized in that, The construction progress assessment system is used to implement the construction progress assessment method according to any one of claims 1 to 2; the construction progress assessment system includes the following steps: The data acquisition module is used to acquire construction drawings and construction site, monitor the construction site, and obtain construction data. A partitioning module, which is connected to the acquisition module, is used to divide the construction site into multiple areas based on construction drawings to obtain a set of construction areas. The processing module, which is connected to the acquisition module and the segmentation module, is used to perform the following operations: The building features to be constructed are extracted from the construction drawings to obtain a set of features to be constructed; each of the building features is configured with a construction difficulty coefficient. The correlation coefficients between construction areas are determined based on the feature set to be constructed. The features of the constructed buildings are extracted from the construction data to obtain a set of constructed features; the features of a construction area are extracted from the set of constructed features to obtain a subset of constructed features. Based on the building features in the established feature subset and the construction difficulty coefficient of the building feature, the progress evaluation coefficient of the building feature in the construction area is determined. Based on the progress evaluation coefficients of each building feature in the construction area of ​​the established feature subset, the progress evaluation coefficient of the construction area is determined. Based on the progress evaluation coefficients of each construction area in the construction area cluster and the correlation coefficients between construction areas, the comprehensive progress evaluation coefficient of the construction site is determined.

4. The construction progress assessment system according to claim 3, characterized in that, The construction data includes the features of the constructed buildings and the material usage data; The processing module is also used to perform the following operations: Extract the building features and material usage data of a construction area from the construction data; Based on the existing building features in the construction area and the construction difficulty coefficient of those building features, the progress assessment coefficient of the construction area is determined. Based on the material usage data of the construction area, a correction factor is determined; The progress assessment coefficient for the construction area is corrected using the aforementioned correction factor.

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