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CN-122023065-A - Engineering supervision quality verification method based on BIM and on-site monitoring data fusion

CN122023065ACN 122023065 ACN122023065 ACN 122023065ACN-122023065-A

Abstract

The invention relates to an engineering supervision quality verification method based on fusion of BIM and field monitoring data, which comprises the steps of constructing a BIM model of a target engineering, randomly sampling representative points of the BIM model, calculating quality verification indexes of the representative points, constructing a representative point set based on all the representative points, wherein the representative point set comprises the representative points and related data thereof, acquiring target quality verification points outside the representative point set, acquiring second three-dimensional coordinates and quality verification indexes of the target quality verification points based on the BIM model, carrying out engineering supervision quality verification on the target quality verification points based on the representative point set and the second three-dimensional coordinates through a preset quality verification model, judging whether quality abnormality risks exist, and outputting results. According to the invention, the abnormal threshold value of the target quality verification point can be dynamically adjusted through the spatial correlation between the target quality verification point and the sampling point of the target engineering, and the target quality verification point with quality abnormality risk can be sharply captured, so that the quality verification result is more accurate.

Inventors

  • LIU FENG

Assignees

  • 深圳市昊源建设监理有限公司

Dates

Publication Date
20260512
Application Date
20260330

Claims (8)

  1. 1. The engineering supervision quality verification method based on BIM and field monitoring data fusion is characterized by comprising the following steps of: Building a BIM model of the target engineering; Randomly sampling the representative points of the BIM model, and calculating the quality parameters of the representative points in a preset quality parameter calculation mode to obtain actual quality parameters of all the representative points; reading theoretical quality parameters of the type of the representative point through a pre-established quality standard, and obtaining a quality verification index of the representative point through a difference value between the theoretical quality parameters and the actual quality parameters; Constructing a representative point set based on all the representative points, wherein the representative point set comprises the representative points and related data thereof, and the related data comprises a first three-dimensional coordinate of the representative points in the BIM model and a quality verification index; Acquiring a target quality verification point outside the representative point set, and acquiring a second three-dimensional coordinate and a quality verification index of the target quality verification point based on the BIM model; and carrying out engineering supervision quality verification on the target quality verification points based on the representative point set and the second three-dimensional coordinates through a preset quality verification model, judging whether quality abnormality risks exist or not, and outputting a result.
  2. 2. The engineering supervision quality verification method based on BIM and on-site monitoring data fusion according to claim 1, wherein the actual quality parameters of all representative points are obtained by calculating the quality parameters of the representative points in a preset quality parameter calculation mode, The method comprises the steps of determining the field monitoring data type and the weight thereof for calculating the quality parameters in advance, reading the value of the field monitoring data type through the BIM model, normalizing the value, and carrying out weighted fusion through the weight to obtain the actual quality parameters of the representative points.
  3. 3. The engineering supervision quality verification method based on BIM and on-site monitoring data fusion according to claim 2, wherein the weight is specifically determined by a hierarchical analysis method.
  4. 4. The engineering supervision quality verification method based on BIM and on-site monitoring data fusion according to claim 2, wherein the specific method is to read the theoretical quality parameters of the type to which the representative point belongs through the pre-established quality standard, and comprises, And carrying out regional division on the target engineering, wherein different regions correspond to different quality standards, namely theoretical values of the field monitoring data types of the representative points of the types to which the target engineering belongs, and carrying out weighted fusion on the normalized theoretical values of the field monitoring data types of the representative points by the weights to obtain theoretical quality parameters of the types to which the representative points belong.
  5. 5. The engineering supervision quality check method based on the fusion of BIM and on-site monitoring data according to claim 1, wherein specifically, by means of a preset quality check model, the engineering supervision quality check is performed on the target quality check point based on the representative point set and the second three-dimensional coordinates, and whether a quality abnormality risk exists is judged, including, For the target quality check point target, calculating two representative points in the representative point set R_set, which are closest to the target in space, and supposing R_set (i_1) and R_set (i_2) respectively, wherein the first three-dimensional coordinates of R_set (i_1) are X (i_1), Y (i_1) and Z (i_1), and the first three-dimensional coordinates of R_set (i_2) are X (i_2), Y (i_2) and Z (i_2); Acquiring a point set in a plane Z (i_1) of the BIM model as set (i_1) and a point set in a plane Z (i_2) as set (i_2); The floating coefficient flow _ target of target is calculated as follows, ; Wherein, the J epsilon [1, n1] is the jth point in set (i_1), k is the kth point in set (i_2), k epsilon [1, n2], and E (A, B) is the calculated spatial distance between the two points A and B; Then calculating the representative point in the set (i_1) and the average value p (set (i_1)) of the quality check indexes thereof in the representative point set (i_2), calculating the representative point in the set (i_2) and the average value p (set (i_2)) of the quality check indexes thereof, Finally, calculating the quality anomaly threshold value threshold_target of the target, threshold_target= [p(set(i_1))+ p(set(i_2))]*Float_target; And acquiring a quality verification index p (target) of the target, judging whether the p (target) is smaller than the threshold_target, if so, judging that the target has no quality abnormality risk, and if not, judging that the target has quality abnormality risk.
  6. 6. The method for verifying the quality of engineering supervision based on BIM and on-site monitoring data fusion according to claim 5, further comprising, When calculating the quality anomaly threshold value threshold for target, the coefficient delta is added, that is, threshold_target= [p(set(i_1))+ p(set(i_2))]*Float_target*δ; Wherein delta is determined by means of artificial settings, and the differences between different target projects are balanced by delta.
  7. 7. The engineering supervision quality verification method based on BIM and on-site monitoring data fusion according to claim 1, wherein the monitoring method further comprises, Labeling target quality verification points with quality abnormality risks in the BIM model, and visually displaying the target quality verification points when outputting results.
  8. 8. Engineering supervision quality verification device based on BIM and on-site monitoring data fusion, characterized by comprising: the BIM model building module is used for building a BIM model of the target engineering; The actual quality parameter calculation module is used for randomly sampling the representative points of the BIM model, and calculating the quality parameters of the representative points in a preset quality parameter calculation mode to obtain the actual quality parameters of all the representative points; The quality verification index calculation module is used for reading theoretical quality parameters of the type of the representative point according to a pre-established quality standard, and obtaining a quality verification index of the representative point according to the difference value of the theoretical quality parameters and the actual quality parameters; The representative point set construction module is used for constructing a representative point set based on all the representative points, wherein the representative point set comprises the representative points and related data thereof, and the related data comprises a first three-dimensional coordinate of the representative points in the BIM model and a quality verification index; the data acquisition module is used for acquiring target quality verification points outside the representative point set, and acquiring second three-dimensional coordinates and quality verification indexes of the target quality verification points based on the BIM model; And the quality verification module is used for carrying out engineering supervision quality verification on the target quality verification points based on the representative point set and the second three-dimensional coordinates through a preset quality verification model, judging whether quality abnormality risks exist or not, and outputting a result.

Description

Engineering supervision quality verification method based on BIM and on-site monitoring data fusion Technical Field The invention relates to the technical field related to engineering supervision, in particular to an engineering supervision quality verification method based on BIM and on-site monitoring data fusion. Background At present, when performing engineering supervision quality verification, verification standards are usually established in advance, namely ideal values of a plurality of dimensions such as materials and the like of related contents needing verification are usually determined, the weight of each dimension is determined, whether the difference value between the actual value of each dimension and the ideal value is within a threshold range is judged, if yes, the quality of the dimension is judged to reach the standard, then weighting and scoring are performed on each dimension to obtain actual quality scores, and if the difference value of the quality scores corresponding to the actual quality scores and the ideal values is also within the threshold range, the quality verification is passed. Although the mode has a certain quality verification effect, the mode is not sensitive enough to judge abnormal risks, the detection rate is low, and the detection effect of the whole process is not ideal. Disclosure of Invention The invention aims to at least solve one of the defects in the prior art and provides an engineering supervision quality verification method based on BIM and on-site monitoring data fusion. In order to achieve the above purpose, the present invention adopts the following technical scheme: Specifically, an engineering supervision quality verification method based on BIM and on-site monitoring data fusion is provided, which comprises the following steps: Building a BIM model of the target engineering; Randomly sampling the representative points of the BIM model, and calculating the quality parameters of the representative points in a preset quality parameter calculation mode to obtain actual quality parameters of all the representative points; reading theoretical quality parameters of the type of the representative point through a pre-established quality standard, and obtaining a quality verification index of the representative point through a difference value between the theoretical quality parameters and the actual quality parameters; Constructing a representative point set based on all the representative points, wherein the representative point set comprises the representative points and related data thereof, and the related data comprises a first three-dimensional coordinate of the representative points in the BIM model and a quality verification index; Acquiring a target quality verification point outside the representative point set, and acquiring a second three-dimensional coordinate and a quality verification index of the target quality verification point based on the BIM model; and carrying out engineering supervision quality verification on the target quality verification points based on the representative point set and the second three-dimensional coordinates through a preset quality verification model, judging whether quality abnormality risks exist or not, and outputting a result. Further, specifically, the actual quality parameters of all the representative points are obtained by calculating the quality parameters of the representative points in a preset quality parameter calculation mode, including, The method comprises the steps of determining the field monitoring data type and the weight thereof for calculating the quality parameters in advance, reading the value of the field monitoring data type through the BIM model, normalizing the value, and carrying out weighted fusion through the weight to obtain the actual quality parameters of the representative points. Further, specifically, the weight is determined by an analytic hierarchy process. Further, the theoretical quality parameters of the type to which the representative point belongs are read through a pre-established quality standard, including, And carrying out regional division on the target engineering, wherein different regions correspond to different quality standards, namely theoretical values of the field monitoring data types of the representative points of the types to which the target engineering belongs, and carrying out weighted fusion on the normalized theoretical values of the field monitoring data types of the representative points by the weights to obtain theoretical quality parameters of the types to which the representative points belong. Further, specifically, through a preset quality verification model, performing engineering supervision quality verification on the target quality verification point based on the representative point set and the second three-dimensional coordinate, judging whether a quality abnormality risk exists, including, For the target quality check point target, c