An engineering project inspection system and method based on the Internet of Things

Abstract

The present invention discloses an engineering project inspection system and method based on the Internet of Things, which relates to the technical field of engineering project inspection. The present invention includes a project inspection module, an abnormal area division module, an influence coefficient prediction module, and an inspection management module; the project inspection module is used to record the occurrence location and phenomenon description of the identified abnormal phenomenon, and obtain a target three-dimensional model; the abnormal area division module is used to divide and process the abnormal area in the target three-dimensional model; the influence coefficient prediction module is used to predict the influence coefficient of the marked abnormal division area on the construction progress of the engineering project; and the inspection management module is used to perform remediation treatment on the engineering project. While ensuring the smooth progress of other construction tasks, the present invention can also avoid the negative impact of the marked abnormal division area after remediation on subsequent construction, further improving the use effect of the system.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering project inspection, and in particular to an engineering project inspection system and method based on the Internet of Things. Background Art

[0002] Project inspection refers to regular or irregular inspection activities carried out at various stages of the project during the construction process, aiming to ensure the smooth realization of project goals.

[0003] In the existing technology, when conducting inspection and management of engineering projects, construction anomalies are determined through the inspection results of inspection personnel, and the engineering project construction team rectifies the engineering project based on the determined construction anomalies. This process cannot clearly define the order of rectification of each construction anomaly, thereby causing the construction progress of the engineering project to be delayed, reducing the inspection and management effect, and causing the location of the construction anomaly after rectification to still have a negative impact on subsequent construction. Summary of the Invention

[0004] The purpose of the present invention is to provide an engineering project inspection system and method based on the Internet of Things to solve the problems raised in the prior art.

[0005] To achieve the above-mentioned object, the present invention provides the following technical solutions: an Internet of Things-based engineering project inspection system, the system comprising a project inspection module, an abnormal area division module, an influence coefficient prediction module and an inspection management module;

[0006] The project inspection module acquires inspection tasks for the project. The project inspection personnel identify abnormal phenomena in the project based on the acquired inspection tasks, and record the occurrence location and description of the identified abnormal phenomena. Based on the recorded information, the construction 3D model of the project is adjusted to obtain a target 3D model.

[0007] The abnormal area division module determines the structural type of the abnormal structure at each marked position in the target three-dimensional model based on the construction drawings, analyzes whether there is a correlation between the marked positions based on the description of each abnormal phenomenon, and divides the abnormal area in the target three-dimensional model based on the analysis results;

[0008] The impact coefficient prediction module predicts the impact coefficient of the marked abnormal division area on the construction progress of the engineering project based on the rectification coefficient of each marked abnormal division area;

[0009] The inspection management module is used to determine the order of remediation of each marked abnormal area according to the influence coefficient of each marked abnormal area on the construction progress of the project, and to perform remediation processing on the project based on the determination result.

[0010] Furthermore, the project inspection module includes a project anomaly identification unit and a three-dimensional simulation unit;

[0011] The project anomaly identification unit obtains the inspection task of the engineering project, and the project inspection personnel identify the abnormal phenomena in the engineering project according to the inspection task, and record the occurrence location and phenomenon description of the identified abnormal phenomenon, and transmit the recorded occurrence location and phenomenon description to the three-dimensional simulation unit;

[0012] When project inspectors perform inspection tasks, the three-dimensional simulation unit performs three-dimensional simulation of the project based on the construction progress and construction drawings of the project, constructs a three-dimensional construction model of the project, adjusts the constructed three-dimensional construction model based on the occurrence location and phenomenon description recorded by the project inspectors, and marks the adjusted position to obtain the target three-dimensional model.

[0013] Furthermore, the abnormal area division module includes a correlation position finding unit, a correlation analysis unit and an abnormal area division determination unit;

[0014] The associated position search unit randomly selects a marked position in the target three-dimensional model, determines the structural type of the abnormal structure at the selected marked position based on the target three-dimensional model, and searches for associated positions of each marked position in combination with the phenomenon description of the abnormal phenomenon matching the selected marked position, where each marked position has an abnormal structure;

[0015] The association analysis unit randomly selects a marking position in the target three-dimensional model. If a random associated position among the selected marking positions coincides with any marking position among the other marking positions, the other marking position that coincides with the selected marking position is recorded as the target marking position, and it is considered that the selected marking position is associated with the target marking position. If a random associated position among the associated positions of the selected marking position does not coincide with any marking position among the other marking positions, it is considered that the selected marking position is not associated with the target marking position.

[0016] The abnormal area division determination unit takes the area where the abnormal structure at each mark position is located as the abnormal area, and based on the analysis result of the association analysis unit, takes the selected mark position and the area where other mark positions associated with the selected mark position are located as an abnormal division area, until all mark positions in the target three-dimensional model are selected, and a number of abnormal division areas are obtained.

[0017] Furthermore, the specific method for the associated position searching unit to search for the associated position of each marked position is:

[0018] A marked position is randomly selected in the target three-dimensional model, and adjacent structures of the abnormal structure at the selected marked position are searched based on the target three-dimensional model. The adjacent structure refers to the structure that is in direct contact with the abnormal structure. The adjacent structures to be found are screened according to the phenomenon description of the abnormal phenomenon that matches the selected marked position. The specific screening method is as follows: if the cause of the phenomenon description of the abnormal phenomenon that matches the selected marked position is that the abnormal structure is tilted, then there is no need to screen the adjacent structures to be found. At this time, the position of the adjacent structure to be found is the first associated position of the selected marked position. If the cause of the phenomenon description of the abnormal phenomenon that matches the selected marked position is that the abnormal structure itself is damaged, then all the adjacent structures to be found are screened out. At this time, the positions of the adjacent structures to be found are not the first associated positions of the selected marked position.

[0019] If the selected mark position has a first associated position, unmark the selected mark position and the first associated position of the selected mark position in the target three-dimensional model to obtain a first target three-dimensional model;

[0020] Based on the method for finding the first associated position of the selected mark position, the second associated position of the selected mark position is analyzed through the first target three-dimensional model, and based on the analysis result, the second target three-dimensional model is obtained. The second associated position refers to the associated position of the associated position of the selected mark position, until the j-th associated position does not exist for the selected mark position, j=1,2,…,n, represents the number corresponding to each associated position of the selected position, and n represents the total number of associated positions of the selected mark position.

[0021] Furthermore, the influence coefficient prediction module includes a rectification coefficient calculation unit and an influence coefficient prediction unit;

[0022] The rectification coefficient calculation unit marks each abnormal division area determined by the abnormal region division module in the target three-dimensional model, and calculates the rectification coefficient of each marked abnormal division area;

[0023] The influence coefficient prediction unit predicts the influence coefficient of each marked abnormal division area on the construction progress of the engineering project based on the calculated rectification coefficient of each marked abnormal division area.

[0024] Furthermore, the specific method for the rectification coefficient calculation unit to calculate the rectification coefficient of each abnormally marked area is:

[0025] Each abnormally marked area is numbered, and the numbering result is: i=1,2,…,m; m represents the total number of abnormally marked areas in the target 3D model;

[0026] The selected marker positions in each marker abnormality division area are used as comparison marker positions, and the marker positions other than the comparison marker positions in each marker abnormality division area are used as marker positions to be analyzed. The marker positions to be analyzed in each marker abnormality division area are numbered, and the numbering result is: p=1, 2, ..., q; q represents the total number of numbers. The comparison marker position in the i-th marker abnormality division area is obtained, and according to the phenomenon description of the abnormal phenomenon matching the comparison marker position, the inclination angle γ of the abnormal structure at the comparison marker position is obtained. Combined with the phenomenon description of the abnormal phenomenon matching each marker position to be analyzed, the inclination angle β of the abnormal structure at the marker position to be analyzed numbered p compared with the abnormal structure at the comparison marker position is obtained. p to confirm;

[0027] The calculation is based on the rectification coefficient of the abnormal area divided by the i-th mark. The specific calculation formula is:

[0028] ;

[0029] Among them, q i represents the total number of marker positions to be analyzed in the i-th marker abnormality division area, e represents a constant and e=2.72, W i Represents the rectification coefficient of the i-th marked abnormal division area.

[0030] Furthermore, the rectification coefficient calculation unit calculates the tilt angle β p The specific calculation formula is:

[0031] β p =arctan[(H i *tanγ+(-1) g *H ip *tanu p ) / (H i +H ip )];

[0032] Among them, u p represents the tilt angle of the abnormal structure at the position of the marker to be analyzed, numbered p, H i H represents the length of the abnormal structure at the position of the comparison mark in the abnormal division area of the i-th mark, ip Indicates the length of the abnormal structure at the position of the marker to be analyzed, numbered p, in the abnormal division area of the i-th marker, g=1 or g=-1. When the tilt angle γ is equal to the tilt angle u p When the sign is the same, g=1, when the tilt angle γ and the tilt angle u p When the signs are opposite, g=-1.

[0033] Furthermore, the specific method for the influence coefficient prediction unit to predict the influence coefficient of the marked abnormal division area on the construction progress of the engineering project is:

[0034] According to the construction plan of the project, the next construction area of the project is determined, and whether the determined next construction area is associated with the i-th marked abnormal division area is determined. The specific judgment method is: when the construction foundation of the next construction area is not within the i-th marked abnormal division area, then the next construction area is determined to be not associated with the i-th marked abnormal division area; when the construction foundation of the next construction area is within the i-th marked abnormal division area, then the next construction area is determined to be associated with the i-th marked abnormal division area;

[0035] If there is a correlation, it is considered that the inspection and rectification plan affects the construction progress of the project. At this time, the impact index d of the abnormal division area of the i-th mark on the construction progress of the project is i = the volume of the area where the construction foundation of the next construction area is located / the volume of the area divided by the i-th marked anomaly;

[0036] If there is no correlation, it is considered that the inspection and rectification plan does not affect the construction progress of the project. At this time, the impact index d of the abnormal division area of the i-th mark on the construction progress of the project is i =0;

[0037] according to The influence coefficient of the i-th marked abnormal division area on the construction progress of the project is predicted, F i It represents the influence coefficient of the i-th marked abnormal division area on the construction progress of the project.

[0038] Furthermore, the inspection management module includes a rectification sequence determination unit and a rectification management unit;

[0039] The remediation order determination unit sorts the impact coefficients of each marked abnormal area on the construction progress of the project in descending order, and determines the remediation order of each marked abnormal area based on the sorting result;

[0040] The remediation management unit performs remediation processing on each abnormally marked area according to the remediation sequence determined by the remediation sequence determination unit.

[0041] An engineering project inspection method based on the Internet of Things, the method comprising:

[0042] S10: Obtain inspection tasks for the engineering project. The project inspection personnel identify abnormal phenomena in the engineering project based on the obtained inspection tasks, and record the occurrence location and description of the identified abnormal phenomena. Based on the recorded information, a target three-dimensional model is constructed.

[0043] S20: determining the structural type of the abnormal structure at each marked position in the target three-dimensional model based on the construction drawing, analyzing whether there is a correlation between the marked positions in combination with the description of each abnormal phenomenon, and dividing the abnormal area in the target three-dimensional model;

[0044] S30: predicting the influence coefficient of the marked abnormal division area on the construction progress of the engineering project;

[0045] S40: Determine the order of remediation for each abnormally marked area, and perform remediation on the project based on the determination result.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] 1. The present invention determines the occurrence location and abnormal phenomena of the engineering project through the constructed target three-dimensional model, and searches for the associated positions of each marked position based on the structural type of the abnormal structure at each marked position, and analyzes the association between each marked position, thereby realizing the regional division of the marked position, ensuring that after the construction team has rectified each divided area, it will not affect the construction content of the next construction area supported by the construction foundation within the divided area, further improving the system's rectification and processing effect on the inspection results.

[0048] 2. The present invention calculates the rectification coefficient of each abnormal division area through the inclination angle of the abnormal structure located at each marked position, and predicts the influence coefficient of each marked abnormal division area on the construction progress of the engineering project in combination with the influence index of each marked abnormal division area on the construction progress of the engineering project. Based on the prediction result, the rectification order of each marked abnormal division area of the engineering project is determined, and the engineering project is rectified according to the above rectification order. While ensuring the smooth progress of other construction tasks, it can also avoid the negative impact of the marked abnormal division area after rectification on subsequent construction, thereby further improving the use effect of the system.

[0049] 3. In the process of analyzing the impact of each marked abnormal division area on the construction progress of the engineering project, the present invention takes into account the impact of each abnormal division area on the subsequent construction content and the number of marked positions existing in each abnormal division area, ensuring that the predicted impact coefficient is more accurate, and to a certain extent improving the efficiency of remediation and processing of inspection results. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a schematic diagram of the working principle and structure of an engineering project inspection system and method based on the Internet of Things of the present invention;

[0051] Figure 2The present invention is a schematic diagram of the workflow of an engineering project inspection system and method based on the Internet of Things. DETAILED DESCRIPTION

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0053] Example: Figure 1-Figure 2 As shown, the present invention provides a technical solution of an engineering project inspection system and method based on the Internet of Things, an engineering project inspection system and method based on the Internet of Things, the system includes a project inspection module, an abnormal area division module, an influence coefficient prediction module and an inspection management module;

[0054] The project inspection module obtains inspection tasks for engineering projects. Project inspectors identify abnormal phenomena in the engineering projects based on the obtained inspection tasks and record the locations and descriptions of the identified abnormal phenomena. Based on the recorded information, the 3D construction model of the engineering project is adjusted to obtain the target 3D model.

[0055] The project inspection module includes a project anomaly identification unit and a three-dimensional simulation unit;

[0056] The project anomaly identification unit obtains the inspection tasks of the engineering project. The project inspection personnel identify abnormal phenomena in the engineering project according to the inspection tasks, and record the occurrence location and phenomenon description of the identified abnormal phenomena. The recorded occurrence location and phenomenon description are transmitted to the three-dimensional simulation unit. The abnormal phenomenon refers to the situation where the construction specifications of the engineering project construction site do not match the construction specifications required in the inspection task. The phenomenon description of the abnormal phenomenon refers to the description of the difference between the construction specifications of the engineering project construction site and the construction specifications required in the inspection task.

[0057] When the project inspectors are carrying out their inspections, the 3D simulation unit simulates the project in 3D based on the project's construction progress and construction drawings, constructs a 3D construction model of the project, and adjusts the constructed 3D construction model based on the occurrence locations and phenomenon descriptions recorded by the project inspectors, marking the adjusted locations to obtain the target 3D model.

[0058] The abnormal area division module determines the structural type of abnormal structures at each marked position in the target 3D model based on the construction drawings. Combined with the description of each abnormal phenomenon, it analyzes whether there is a correlation between the marked positions. Based on the analysis results, the abnormal area in the target 3D model is divided and processed.

[0059] The abnormal area division module includes a correlation position finding unit, a correlation analysis unit and an abnormal area division determination unit;

[0060] The associated position search unit randomly selects a marked position in the target 3D model and determines the structural type of the abnormal structure at the selected marked position based on the target 3D model. The structural types in the engineering project include frames, wall panels, shear walls, etc. Combined with the phenomenon description of the abnormal phenomenon matching the selected marked position, the associated position of each marked position is searched. The specific method is as follows:

[0061] A marked position is randomly selected in the target three-dimensional model, and adjacent structures of the abnormal structure at the selected marked position are searched based on the target three-dimensional model. The adjacent structure refers to the structure that is in direct contact with the abnormal structure. The adjacent structures to be found are screened according to the phenomenon description of the abnormal phenomenon that matches the selected marked position. The specific screening method is as follows: if the cause of the phenomenon description of the abnormal phenomenon that matches the selected marked position is that the abnormal structure is tilted, then there is no need to screen the adjacent structures to be found. At this time, the position of the adjacent structure to be found is the first associated position of the selected marked position. If the cause of the phenomenon description of the abnormal phenomenon that matches the selected marked position is that the abnormal structure itself is damaged, then all the adjacent structures to be found are screened out. At this time, the positions of the adjacent structures to be found are not the first associated positions of the selected marked position.

[0062] If the selected mark position has a first associated position, unmark the selected mark position and the first associated position of the selected mark position in the target three-dimensional model to obtain a first target three-dimensional model;

[0063] Based on the method for finding the first associated position of the selected mark position, the second associated position of the selected mark position is analyzed through the first target three-dimensional model, and the second target three-dimensional model is obtained based on the analysis result, the second associated position refers to the associated position of the associated position of the selected mark position, until the j-th associated position does not exist at the selected mark position, j=1,2,…,n, representing the number corresponding to each associated position of the selected position, n represents the total number of associated positions existing at the selected mark position, and each mark position has an abnormal structure;

[0064] The association analysis unit randomly selects a marking position in the target three-dimensional model. If a random associated position among the selected marking positions coincides with any marking position among the other marking positions, and the other marking positions refer to the remaining marking positions in the target three-dimensional model except the selected marking position, the other marking positions that coincide with the selected marking position are recorded as target marking positions. In this case, it is considered that the selected marking position is associated with the target marking position. If a random associated position among the associated positions of the selected marking position does not coincide with any marking position among the other marking positions, it is considered that the selected marking position is not associated with the target marking position.

[0065] The abnormal region division determination unit selects the region where the abnormal structure at each marker position is located as an abnormal region, and based on the analysis result of the association analysis unit, selects the marker position and the region where other marker positions associated with the selected marker position are located as an abnormal division region, until all marker positions in the target three-dimensional model are selected, thereby obtaining a plurality of abnormal division regions;

[0066] The impact coefficient prediction module predicts the impact coefficient of the marked abnormal division area on the construction progress of the project based on the rectification coefficient of each marked abnormal division area;

[0067] The influence coefficient prediction module includes a rectification coefficient calculation unit and an influence coefficient prediction unit;

[0068] The rectification coefficient calculation unit marks each abnormal division area determined by the abnormal region division module in the target three-dimensional model, and calculates the rectification coefficient of each marked abnormal division area. The specific method is as follows:

[0069] Each abnormally marked area is numbered, and the numbering result is: i=1,2,…,m; m represents the total number of abnormally marked areas in the target 3D model;

[0070] The selected marking positions in each marked abnormal division area are used as comparison marking positions, and the marking positions other than the comparison marking positions in each marked abnormal division area are used as marking positions to be analyzed. The marking positions to be analyzed in each marked abnormal division area are numbered, and the numbering result is: p=1,2,…,q; q represents the total number of numbers. The comparison marking position in the i-th marked abnormal division area is obtained, and according to the phenomenon description of the abnormal phenomenon matching the comparison marking position, the inclination angle γ of the abnormal structure at the comparison marking position is obtained. The inclination angle refers to the angle between the abnormal structure at the marking position and the standard setting state of the abnormal structure. The standard setting state refers to the setting state of the abnormal structure at the marking position in the construction three-dimensional model. When the structure is in the standard state, if the abnormal structure is located on the right side of the structure, the sign of the inclination angle of the abnormal structure is positive, and if the abnormal structure is located on the left side of the structure, the sign of the inclination angle of the abnormal structure is negative. Combined with the phenomenon description of the abnormal phenomenon matching each marked position to be analyzed, the inclination angle β of the abnormal structure at the marked position to be analyzed numbered p compared with the abnormal structure at the comparison marking position is obtained. p to confirm;

[0071] β p =arctan[(H i *tanγ+(-1) g *H ip *tanu p ) / (H i +H ip )],u p represents the tilt angle of the abnormal structure at the position of the marker to be analyzed, numbered p, H i H represents the length of the abnormal structure at the position of the comparison mark in the abnormal division area of the i-th mark, ip Indicates the length of the abnormal structure at the position of the marker to be analyzed, numbered p, in the abnormal division area of the i-th marker, g=1 or g=-1. When the tilt angle γ is equal to the tilt angle u p When the signs are the same, the same signs refer to the tilt angle γ and the tilt angle u p The signs of the two are both positive or negative, g=1, when the tilt angle γ and the tilt angle u p When the signs are opposite, g=-1, and the opposite signs refer to the tilt angle γ and the tilt angle u p One of the signs is positive and the other is negative;

[0072] The calculation is based on the rectification coefficient of the abnormal area divided by the i-th mark. The specific calculation formula is:

[0073] ;

[0074] Among them, q irepresents the total number of marker positions to be analyzed in the i-th marker abnormality division area, e represents a constant and e=2.72, W i represents the rectification coefficient of the abnormal division area of the i-th mark;

[0075] The influence coefficient prediction unit predicts the influence coefficient of each marked abnormal division area on the construction progress of the project based on the calculated rectification coefficient of each marked abnormal division area. The specific method is as follows:

[0076] According to the construction plan of the engineering project, the next construction area of the engineering project is determined, and whether the determined next construction area is associated with the i-th marked abnormal division area is judged. The specific judgment method is: when the construction foundation of the next construction area is not within the i-th marked abnormal division area, the construction foundation refers to the structure supporting the enclosure structure and the main structure in the next construction area, then it is judged that the next construction area is not associated with the i-th marked abnormal division area; when the construction foundation of the next construction area is within the i-th marked abnormal division area, then it is judged that the next construction area is associated with the i-th marked abnormal division area;

[0077] If there is a correlation, it is considered that the inspection and rectification plan affects the construction progress of the project. At this time, the impact index d of the abnormal division area of the i-th mark on the construction progress of the project is i = the volume of the area where the construction foundation of the next construction area is located / the volume of the area divided by the i-th marked anomaly;

[0078] If there is no correlation, it is considered that the inspection and rectification plan does not affect the construction progress of the project. The inspection and rectification plan refers to the rectification plan for each abnormal phenomenon in each marked abnormal division area. At this time, the impact index d of the i-th marked abnormal division area on the construction progress of the project is i =0;

[0079] according to The influence coefficient of the i-th marked abnormal division area on the construction progress of the project is predicted, F i represents the impact coefficient of the i-th marked abnormal division area on the construction progress of the project;

[0080] The inspection management module is used to determine the order of remediation of each marked abnormal area according to the influence coefficient of each marked abnormal area on the construction progress of the project, and to carry out remediation of the project based on the determination result;

[0081] The inspection management module includes a remediation sequence determination unit and a remediation management unit;

[0082] The remediation sequence determination unit sorts the impact coefficients of each marked abnormal area on the construction progress of the project in descending order, and determines the remediation sequence of each marked abnormal area based on the sorting results;

[0083] The remediation management unit performs remediation processing on each abnormally marked area according to the remediation sequence determined by the remediation sequence determination unit.

[0084] An engineering project inspection method based on the Internet of Things, the method comprising:

[0085] S10: Obtain inspection tasks for the engineering project. The project inspection personnel identify abnormal phenomena in the engineering project based on the obtained inspection tasks, and record the occurrence location and description of the identified abnormal phenomena. Based on the recorded information, a target three-dimensional model is constructed.

[0086] S20: determining the structural type of the abnormal structure at each marked position in the target three-dimensional model based on the construction drawing, analyzing whether there is a correlation between the marked positions in combination with the description of each abnormal phenomenon, and dividing the abnormal area in the target three-dimensional model;

[0087] S30: predicting the influence coefficient of the marked abnormal division area on the construction progress of the engineering project;

[0088] S40: Determine the order of remediation for each abnormally marked area, and perform remediation on the project based on the determination result.

[0089] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim to which it relates.

Claims

1. An engineering project inspection system based on the Internet of Things, characterized by: The system includes a project inspection module, an abnormal area division module, an impact coefficient prediction module and an inspection management module; The project inspection module acquires inspection tasks for the project. The project inspection personnel identify abnormal phenomena in the project based on the acquired inspection tasks, and record the occurrence location and description of the identified abnormal phenomena. Based on the recorded information, the construction 3D model of the project is adjusted to obtain a target 3D model. The project inspection module includes a project anomaly identification unit and a three-dimensional simulation unit; The project anomaly identification unit obtains the inspection task of the engineering project, and the project inspection personnel identify the abnormal phenomena in the engineering project according to the inspection task, and record the occurrence location and phenomenon description of the identified abnormal phenomenon, and transmit the recorded occurrence location and phenomenon description to the three-dimensional simulation unit; When the project inspectors are carrying out their inspections, the three-dimensional simulation unit performs a three-dimensional simulation of the project based on the project's construction progress and construction drawings, constructs a three-dimensional construction model of the project, and adjusts the constructed three-dimensional construction model based on the occurrence locations and phenomenon descriptions recorded by the project inspectors, and marks the adjusted locations to obtain a target three-dimensional model. The abnormal area division module determines the structural type of the abnormal structure at each marked position in the target three-dimensional model based on the construction drawings, analyzes whether there is a correlation between the marked positions based on the description of each abnormal phenomenon, and divides the abnormal area in the target three-dimensional model based on the analysis results; The abnormal area division module includes a correlation position finding unit, a correlation analysis unit and an abnormal area division determination unit; The associated position search unit randomly selects a marked position in the target three-dimensional model, determines the structural type of the abnormal structure at the selected marked position based on the target three-dimensional model, and searches for associated positions of each marked position in combination with the phenomenon description of the abnormal phenomenon matching the selected marked position, where each marked position has an abnormal structure; The association analysis unit randomly selects a marking position in the target three-dimensional model. If a random associated position among the selected marking positions coincides with any marking position among the other marking positions, the other marking position that coincides with the selected marking position is recorded as the target marking position, and it is considered that the selected marking position is associated with the target marking position. If a random associated position among the associated positions of the selected marking position does not coincide with any marking position among the other marking positions, it is considered that the selected marking position is not associated with the target marking position. The abnormal region division determination unit selects the region where the abnormal structure at each marker position is located as an abnormal region, and based on the analysis result of the association analysis unit, selects the marker position and the region where other marker positions associated with the selected marker position are located as an abnormal division region, until all marker positions in the target three-dimensional model are selected, thereby obtaining a plurality of abnormal division regions; The impact coefficient prediction module predicts the impact coefficient of the marked abnormal division area on the construction progress of the engineering project based on the rectification coefficient of each marked abnormal division area; The inspection management module is used to determine the order of remediation of each marked abnormal area according to the influence coefficient of each marked abnormal area on the construction progress of the project, and to perform remediation processing on the project based on the determination result.

2. The engineering project inspection system based on the Internet of Things according to claim 1 is characterized in that: The specific method for the associated position search unit to search for the associated position of each marked position is: A marked position is randomly selected in the target three-dimensional model, and adjacent structures of the abnormal structure at the selected marked position are searched based on the target three-dimensional model. The adjacent structure refers to the structure that is in direct contact with the abnormal structure. The adjacent structures to be found are screened according to the phenomenon description of the abnormal phenomenon that matches the selected marked position. The specific screening method is as follows: if the cause of the phenomenon description of the abnormal phenomenon that matches the selected marked position is that the abnormal structure is tilted, then there is no need to screen the adjacent structures to be found. At this time, the position of the adjacent structure to be found is the first associated position of the selected marked position. If the cause of the phenomenon description of the abnormal phenomenon that matches the selected marked position is that the abnormal structure itself is damaged, then all the adjacent structures to be found are screened out. At this time, the positions of the adjacent structures to be found are not the first associated positions of the selected marked position. If the selected mark position has a first associated position, unmark the selected mark position and the first associated position of the selected mark position in the target three-dimensional model to obtain a first target three-dimensional model; Based on the method for finding the first associated position of the selected mark position, the second associated position of the selected mark position is analyzed through the first target three-dimensional model, and based on the analysis result, the second target three-dimensional model is obtained. The second associated position refers to the associated position of the associated position of the selected mark position, until the j-th associated position does not exist for the selected mark position, j=1,2,…,n, represents the number corresponding to each associated position of the selected position, and n represents the total number of associated positions of the selected mark position.

3. The engineering project inspection system based on the Internet of Things according to claim 2 is characterized in that: The influence coefficient prediction module includes a rectification coefficient calculation unit and an influence coefficient prediction unit; The rectification coefficient calculation unit marks each abnormal division area determined by the abnormal region division module in the target three-dimensional model, and calculates the rectification coefficient of each marked abnormal division area; The influence coefficient prediction unit predicts the influence coefficient of each marked abnormal division area on the construction progress of the engineering project based on the calculated rectification coefficient of each marked abnormal division area.

4. The engineering project inspection system based on the Internet of Things according to claim 3 is characterized by: The specific method for the rectification coefficient calculation unit to calculate the rectification coefficient of each abnormally marked area is: Each abnormally marked area is numbered, and the numbering result is: i=1,2,…,m; m represents the total number of abnormally marked areas in the target 3D model; The selected marker positions in each marker abnormality division area are used as comparison marker positions, and the marker positions other than the comparison marker positions in each marker abnormality division area are used as marker positions to be analyzed. The marker positions to be analyzed in each marker abnormality division area are numbered, and the numbering result is: p=1, 2, ..., q; q represents the total number of numbers. The comparison marker position in the i-th marker abnormality division area is obtained, and according to the phenomenon description of the abnormal phenomenon matching the comparison marker position, the inclination angle γ of the abnormal structure at the comparison marker position is obtained. Combined with the phenomenon description of the abnormal phenomenon matching each marker position to be analyzed, the inclination angle β of the abnormal structure at the marker position to be analyzed numbered p compared with the abnormal structure at the comparison marker position is obtained. p to confirm; The calculation is based on the rectification coefficient of the abnormal area divided by the i-th mark. The specific calculation formula is: ； Among them, q i represents the total number of marker positions to be analyzed in the i-th marker abnormality division area, e represents a constant and e=2.72, W i represents the rectification coefficient of the abnormal division area of the i-th mark, u p represents the tilt angle of the abnormal structure at the position of the marker to be analyzed, numbered p; Tilt angle β p The specific calculation formula is: β p =arctan[(H i *tanγ+(-1) g *H ip *tanu p ) / (H i +H ip )]; Among them, H i H represents the length of the abnormal structure at the position of the comparison mark in the abnormal division area of the i-th mark, ip Indicates the length of the abnormal structure at the position of the marker to be analyzed, numbered p, in the abnormal division area of the i-th marker, g=1 or g=-1. When the tilt angle γ is equal to the tilt angle u p When the sign is the same, g=1, when the tilt angle γ and the tilt angle u p When the signs are opposite, g=-1.

5. The engineering project inspection system based on the Internet of Things according to claim 4 is characterized in that: The specific method for the influence coefficient prediction unit to predict the influence coefficient of the marked abnormal division area on the construction progress of the engineering project is: According to the construction plan of the project, the next construction area of the project is determined, and whether the determined next construction area is associated with the i-th marked abnormal division area is determined. The specific judgment method is: when the construction foundation of the next construction area is not within the i-th marked abnormal division area, then the next construction area is determined to be not associated with the i-th marked abnormal division area; when the construction foundation of the next construction area is within the i-th marked abnormal division area, then the next construction area is determined to be associated with the i-th marked abnormal division area; If there is a correlation, it is considered that the inspection and rectification plan affects the construction progress of the project. At this time, the impact index d of the abnormal division area of the i-th mark on the construction progress of the project is i = the volume of the area where the construction foundation of the next construction area is located / the volume of the area divided by the i-th marked anomaly; If there is no correlation, it is considered that the inspection and rectification plan does not affect the construction progress of the project. At this time, the impact index d of the abnormal division area of the i-th mark on the construction progress of the project is i =0; according to The influence coefficient of the i-th marked abnormal division area on the construction progress of the project is predicted, F i It represents the influence coefficient of the i-th marked abnormal division area on the construction progress of the project.

6. The engineering project inspection system based on the Internet of Things according to claim 5 is characterized by: The inspection management module includes a remediation sequence determination unit and a remediation management unit; The remediation order determination unit sorts the impact coefficients of each marked abnormal area on the construction progress of the project in descending order, and determines the remediation order of each marked abnormal area based on the sorting result; The remediation management unit performs remediation processing on each abnormally marked area according to the remediation sequence determined by the remediation sequence determination unit.

7. An Internet of Things-based engineering project inspection method applied to the Internet of Things-based engineering project inspection system according to any one of claims 1 to 6, characterized in that: The method comprises: S10: Obtain inspection tasks for the engineering project. The project inspection personnel identify abnormal phenomena in the engineering project based on the obtained inspection tasks, and record the occurrence location and description of the identified abnormal phenomena. Based on the recorded information, a target three-dimensional model is constructed. S20: determining the structural type of the abnormal structure at each marked position in the target three-dimensional model based on the construction drawing, analyzing whether there is a correlation between the marked positions in combination with the description of each abnormal phenomenon, and dividing the abnormal area in the target three-dimensional model; S30: predicting the influence coefficient of the marked abnormal division area on the construction progress of the engineering project; S40: Determine the order of remediation for each abnormally marked area, and perform remediation on the project based on the determination result.

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