A comprehensive damage identification method based on BIM technology

Abstract

The present invention belongs to the technical field of damage monitoring of water-related projects, and specifically is a comprehensive damage identification method based on BIM technology. The comprehensive damage identification method based on BIM technology is as follows: Step 1, setting a standard comparison template: selecting an underwater structure model from a three-dimensional model of BIM, exporting the underwater structure model to BIM and converting it into underwater structure data, and using the underwater structure data as a standard comparison template; Step 2, selecting sample data; Step 3, comprehensive damage identification: The present invention uses a standard comparison template to compare with the three-dimensional data, finds out the sample data corresponding to the underwater structure, and uses the difference between the sample data and the standard comparison template to analyze and identify the comprehensive damage of the underwater structure; because the difference between the sample data and the standard comparison template must be the abnormal point of the underwater structure, the present invention can accurately identify the abnormality of the underwater structure.

Description

Technical Field

[0001] The present invention relates to the technical field of water-related engineering damage monitoring, and in particular to a comprehensive damage identification method based on BIM technology. Background Art

[0002] Water-related projects mainly consist of above-water structures and underwater structures, among which underwater structures include pile foundations, piers, etc., which are mainly used to bear the loads transferred from the upper structure and gradually transfer them to the foundation. Underwater structures will not only wear out after resisting the long-term scouring of water flow, silt and other materials, but may also be damaged by collisions with passing ships. Regardless of the influencing factors, they will cause varying degrees of damage to the underwater structures. Damaged underwater structures are highly concealed and difficult to be discovered in time, which may cause more serious harm and threaten the safe operation of the entire water-related project.

[0003] At present, underwater structure inspection mainly includes diver diving inspection, sonar inspection, underwater robot inspection, etc.; among them, diver inspection relies on naked eye observation and exploration, although it can accurately understand the damaged parts of underwater structures, but the operation efficiency is low and it is difficult to conduct comprehensive inspection of underwater structures; when sonar inspection, underwater robots and other equipment are inspecting underwater structures, they will be affected by the underwater environment, so that the resolution of the collected data after imaging is low, and it is difficult to identify the damage of underwater structures. When sonar inspection, underwater robots and other equipment collect data, the collected data includes not only underwater structures but also underwater environmental data. These underwater environmental data will interfere with underwater structure inspection, and then interfere with underwater structure damage identification; therefore, we propose a comprehensive damage identification method based on BIM technology to accurately identify the damage of underwater structures. Summary of the invention

[0004] The purpose of the present invention is to provide a comprehensive damage identification method based on BIM technology to solve the problem that damage in underwater structures is difficult to accurately identify as mentioned in the background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a comprehensive damage identification method based on BIM technology, the comprehensive damage identification method based on BIM technology is as follows:

[0006] Step 1: Set a standard comparison template: select an underwater structure model from the BIM 3D model, export the underwater structure model to BIM and convert it into underwater structure data, and use the underwater structure data as a standard comparison template;

[0007] Step 2: Select sample data;

[0008] A1. Collect three-dimensional data of the underwater area, compare the collected three-dimensional data with the standard comparison template, find out the data that overlaps with the standard comparison template from the three-dimensional data, and mark the data of the overlapping part;

[0009] A2. Arrange the marked data in order, select the first set of marked data and the last set of marked data, analyze the positions of the two sets of marked data in the standard comparison template, and then select sample data from the three-dimensional data;

[0010] a. The first set of labeled data is located at the first position of the standard comparison template, and the last set of labeled data is located at the last position of the standard comparison template, then all data from the first set of labeled data to the last set of labeled data in the three-dimensional data are selected as sample data;

[0011] b. When the first set of labeled data is not at the first position of the standard comparison template and the last set of labeled data is at the last position of the standard comparison template, the first set of labeled data is extended upward in the three-dimensional data to obtain the upper extended data, and all data from the upper extended data to the last set of labeled data in the three-dimensional data are used as sample data;

[0012] c. When the first set of labeled data is located at the first position of the standard comparison template and the last set of labeled data is not located at the last position of the standard comparison template, the last set of labeled data is extended downward in the three-dimensional data to obtain the lower extended data, and all data from the first set of labeled data to the lower extended data in the three-dimensional data are used as sample data;

[0013] d. When the first set of labeled data is not at the first position of the standard comparison template and the last set of labeled data is not at the last position of the standard comparison template, the first set of labeled data is extended upward in the three-dimensional data to obtain the upper extended data, and the last set of labeled data is extended downward in the three-dimensional data to obtain the lower extended data, and all data from the upper extended data to the lower extended data in the three-dimensional data are used as sample data;

[0014] Step 3: Comprehensive damage identification: Import the sample data into BIM and convert it into a 3D model. Mark the corresponding models of the unmarked data in the sample data in the 3D model, and analyze whether there are any missing parts in the marked parts of the 3D model. The parts with missing parts in the marked parts of the 3D model are all damage points.

[0015] Preferably, the underwater structure model in step 1 is selected as follows:

[0016] B1. Query the underwater structure model from the BIM 3D model. If the underwater structure model exists, select it directly. If it does not exist, proceed to the next step.

[0017] B2. Import the 3D data of the underwater area into BIM to obtain the underwater area model;

[0018] B3. Delete the invalid model in the underwater area model in BIM, leaving the rough model of the underwater structure;

[0019] B4. Repair the damaged parts in the rough model of the underwater structure in BIM to obtain the underwater structure model.

[0020] Preferably, in the step 1, when acquiring the underwater structure data, the underwater structure data is classified according to the number or type of the underwater structures, and each type of underwater structure data is provided with a corresponding standard comparison template;

[0021] In the step 2, after the three-dimensional data is obtained, the three-dimensional data is also classified according to the number or type of underwater structures, and a set of sample data can be obtained from each type of three-dimensional data.

[0022] Preferably, the data in the standard comparison template is segmented, and when the three-dimensional data is compared with the standard comparison template in step 2, each segment of data in the standard comparison template is compared with the three-dimensional data respectively.

[0023] Preferably, a comparison coefficient K is set, and the comparison coefficient K is negatively correlated with the byte length of each segment of data in the standard comparison template;

[0024] In the step 2, when the single-segment data in the standard comparison template is overlapped with the three-dimensional data, the overlap rate T is obtained, and the ratio of the overlap rate T to the comparison coefficient K is calculated. When the ratio of the overlap rate T to the comparison coefficient K is greater than 100%, it is assumed that the single-segment data in the standard comparison template completely overlaps with the three-dimensional data.

[0025] Preferably, in step 2, after analyzing the positions of the first group of marker data and the last group of marker data in the standard comparison template, the byte length of the first segment of data in the first group of marker data and the standard comparison template and the byte length of the last segment of data in the last group of marker data and the standard comparison template are calculated; when selecting the upper extended data, the byte length of the upper extended data is greater than the byte length of the first segment of data in the first group of marker data and the standard comparison template; when selecting the lower extended data, the byte length of the lower extended data is greater than the byte length of the last segment of data in the last group of marker data and the standard comparison template.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] 1) The present invention obtains a three-dimensional model of an underwater structure based on BIM technology, and then converts the three-dimensional model into a standard comparison template using BIM technology. When collecting three-dimensional data of an underwater area, the standard comparison template is used to compare the three-dimensional data to find sample data corresponding to the underwater structure, and the difference between the sample data and the standard comparison template is used to analyze and identify the comprehensive damage of the underwater structure. Since the difference between the sample data and the standard comparison template must be the abnormal point of the underwater structure, the present invention can accurately identify the abnormality of the underwater structure;

[0028] 2) The present invention extends the first set of marker data upward and extends the last set of marker data downward. When the damage point of the underwater structure causes insufficient sample data, the sample data is supplemented by the upward extended data and the downward extended data, so that the sample data can correspond to the entire underwater structure. When identifying damage to the underwater structure, the problem of incomplete detection can be avoided. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 This is a schematic diagram of the comprehensive damage identification process of underwater structures based on BIM technology in the present invention. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0031] In the description of the present invention, it is necessary to understand that the terms "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0032] Example:

[0033] See also Figure 1 , the present invention provides a technical solution: a comprehensive damage identification method based on BIM technology, the comprehensive damage identification method based on BIM technology is as follows:

[0034] Step 1: Set a standard comparison template: select an underwater structure model from the BIM 3D model, then export the underwater structure model to BIM and convert it into underwater structure data, and use the underwater structure data as the standard comparison template;

[0035] Selection of underwater structure model:

[0036] B1. Usually, the design of water-related projects will leave a 3D model of the water-related project in BIM. In this case, we can find the underwater structure model from the 3D model of the water-related project.

[0037] B2. Of course, due to data loss or late intervention, the underwater structure model may not exist in the BIM. At this time, it is necessary to prepare to build the underwater structure model. First, collect the data of the underwater area through underwater data collection facilities (such as sonar, underwater robots, etc.), and then organize and convert the collected data so that the collected data can be recognized by BIM. The converted data is imported into BIM, the data is recognized by BIM, and the underwater area model is established based on the imported data;

[0038] B3. Use BIM to trim the underwater area model and delete the invalid model (referring to the 3D model that is not related to the underwater structure) in the underwater area model. After deleting the invalid model, the remaining 3D model is the rough model of the underwater structure.

[0039] B4. There may be extra garbage and other waste on the rough model of the underwater structure, and there may also be abnormalities such as missing or damaged parts. Then, the extra structures on the rough model of the underwater structure are removed, and the missing parts on the rough model of the underwater structure are repaired. After the rough model of the underwater structure is repaired, the underwater structure model can be obtained.

[0040] Classification of underwater structure data:

[0041] In BIM, underwater structures are classified by number or type. For example, all pile foundations in underwater structures are classified into one category, all piers are classified into one category, and then different categories of underwater structures are exported, sorted and format converted to obtain different categories of underwater structure data;

[0042] Establishment and classification of standard comparison templates:

[0043] All categories of underwater structure data are sorted out separately, and then the sorted underwater structure data are set as standard comparison templates, that is, each category of underwater structure data has a corresponding standard comparison template, and then the standard comparison template is segmented. When segmenting, the vulnerable parts of the underwater structure should correspond to single-segment data as much as possible; for example, a certain category of underwater structure data is divided into ten segments, and the underwater structure corresponding to this category of underwater structure data has two parts that are more susceptible to scouring. Then, when the underwater structure data is segmented, the data at both ends can correspond to the parts of the underwater structure that are susceptible to scouring, and the other segments of data can avoid the parts that are susceptible to scouring.

[0044] Step 2: Select sample data;

[0045] A1. First, collect the 3D data of the underwater area, organize the collected data, classify the collected 3D data according to the classification mode of the standard comparison template, and then compare the classified 3D data with the corresponding standard comparison template, use the data of all segments in the standard comparison template to compare with the 3D data, find the part that overlaps with the single segment data in the 3D data, and mark the data of the overlapping part in the 3D data;

[0046] A2. Arrange the marked data in sequence according to the arrangement of the data in the three-dimensional data. After the arrangement is completed, select the first group of marked data and the last group of marked data, analyze the corresponding positions of the two groups of marked data in the standard comparison template, and then select the data corresponding to the underwater structure from the three-dimensional data as sample data;

[0047] a. When the first set of marked data is located at the first position of the standard comparison template (i.e., the first segment of data is located after the standard comparison template is segmented), and the last set of marked data is located at the last position of the standard comparison template (i.e., the last segment of data is located after the standard comparison template is segmented), this indicates that there is no abnormality in the underwater structure at the beginning and end stages, and the overall data of the underwater structure has been collected. At this time, all the data from the first set of marked data to the last set of marked data in the three-dimensional data represent the entire underwater structure, and the data corresponding to the entire underwater structure is used as the sample data;

[0048] b. When the first set of marker data is not at the first position of the standard comparison template, and the last set of marker data is at the last position of the standard comparison template, this indicates that an abnormality occurs at the head end of the underwater structure. At this time, the data needs to be extended upwards with the first set of marker data to obtain all the data of the underwater structure in the three-dimensional data. According to the position of the first set of marker data in the standard comparison template, the byte length of the first segment of data in the first set of marker data and the standard comparison template is calculated, and 20% is added to the byte length as the byte length of the extended data, that is, the byte length of the upper extended data of the first set of marker data extending upwards in the three-dimensional data is 1.2 times the byte length of the first segment of data in the first set of marker data and the standard comparison template; at this time, all the data from the upper extended data to the last set of marker data represents the entire underwater structure, and the data corresponding to the entire underwater structure is used as the sample data;

[0049] c. When the first set of marker data is located at the first position of the standard comparison template, and the last set of marker data is not at the last position of the standard comparison template, this indicates that an abnormality occurs at the tail end of the underwater structure. At this time, it is necessary to extend the data downward from the last set of marker data to obtain all the data of the underwater structure in the three-dimensional data. According to the position of the last set of marker data in the standard comparison template, the byte length of the last segment of data in the last set of marker data and the standard comparison template is calculated, and 20% is added to the byte length as the byte length of the extended data, that is, the byte length of the lower extended data extending downward from the last set of marker data in the three-dimensional data is 1.2 times the byte length of the last segment of data in the last set of marker data and the standard comparison template; at this time, all the data from the first set of marker data to the lower extended data represents the entire underwater structure, and the data corresponding to the entire underwater structure is used as the sample data;

[0050] d. When the first set of marker data is not at the beginning of the standard comparison template, and the last set of marker data is not at the end of the standard comparison template, this indicates that abnormalities occur at both ends of the underwater structure. At this time, the data must be extended downward with the last set of marker data and the data must be extended upward with the first set of marker data to obtain all the data of the underwater structure in the three-dimensional data. Similarly, the byte length of the upper extended data of the first set of marker data extending upward in the three-dimensional data is 1.2 times the byte length of the first segment of data in the first set of marker data and the standard comparison template, and the byte length of the lower extended data of the last set of marker data extending downward in the three-dimensional data is 1.2 times the byte length of the last segment of data in the last set of marker data and the standard comparison template. At this time, all the data from the upper extended data to the lower extended data represent the entire underwater structure, and the data corresponding to the entire underwater structure is used as the sample data.

[0051] When collecting three-dimensional data, due to the influence of the environment, the collected three-dimensional data may have a certain deviation from the actual data. When directly overlapping and comparing the single-segment data in the standard comparison template with the three-dimensional data, the problem of not being able to find the completely overlapping parts may occur; setting the comparison coefficient K, the comparison coefficient K is negatively correlated with the byte length of each segment of data in the standard comparison template. The longer the byte length of each segment of data, the smaller the comparison coefficient K; when overlapping and comparing the single-segment data in the standard comparison template with the three-dimensional data, the volume of the overlapping data is obtained, and the volume of the overlapping data is compared with the single-segment data in the standard comparison template to obtain the overlap rate T, and the ratio of the overlap rate T to the comparison coefficient K is calculated. When the ratio of the overlap rate T to the comparison coefficient K is greater than 100%, it is assumed that the single-segment data in the standard comparison template completely overlaps with the three-dimensional data.

[0052] Step 3: Comprehensive damage identification:

[0053] The sample data is sorted and formatted so that it can be recognized by BIM, and then the formatted sample data is imported into BIM and converted into a three-dimensional model. After the model conversion, the marked data in the sample data is converted into the model normally, and the unmarked data in the sample data is converted into the model and marked in the three-dimensional model. These marked parts in the three-dimensional model are the abnormal parts of the underwater structure (then analyze whether the abnormal parts are clear. If not, these abnormal points can be sampled in detail through professional underwater equipment to obtain detailed data of the abnormal parts), and confirm whether these abnormal points are missing. If there are missing points, they are damaged points of the underwater structure. A set of sample data and an indefinite number of damage points can be obtained in each type of three-dimensional data, and the comprehensive damage of the underwater structure is confirmed based on the corresponding damage points in all sample data.

[0054] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention; therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is limited by the attached claims rather than the above description. Therefore, it is intended to include all changes within the meaning and scope of the equivalent elements of the claims in the present invention, and any figure marks in the claims should not be regarded as limiting the claims involved.

[0055] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A comprehensive damage identification method based on BIM technology, characterized by: The comprehensive damage identification method based on BIM technology is as follows: Step 1: Set a standard comparison template: select an underwater structure model from the BIM 3D model, export the underwater structure model to BIM and convert it into underwater structure data, and use the underwater structure data as a standard comparison template; Step 2: Select sample data; A1. Collect three-dimensional data of the underwater area, compare the collected three-dimensional data with the standard comparison template, find out the data that overlaps with the standard comparison template from the three-dimensional data, and mark the data of the overlapping part; A2. Arrange the marked data in order, select the first set of marked data and the last set of marked data, analyze the positions of the two sets of marked data in the standard comparison template, and then select sample data from the three-dimensional data; a. The first set of labeled data is located at the first position of the standard comparison template, and the last set of labeled data is located at the last position of the standard comparison template, then all data from the first set of labeled data to the last set of labeled data in the three-dimensional data are selected as sample data; b. When the first set of labeled data is not at the first position of the standard comparison template and the last set of labeled data is at the last position of the standard comparison template, the first set of labeled data is extended upward in the three-dimensional data to obtain the upper extended data, and all data from the upper extended data to the last set of labeled data in the three-dimensional data are used as sample data; c. When the first set of labeled data is located at the first position of the standard comparison template and the last set of labeled data is not located at the last position of the standard comparison template, the last set of labeled data is extended downward in the three-dimensional data to obtain the lower extended data, and all data from the first set of labeled data to the lower extended data in the three-dimensional data are used as sample data; d. When the first set of labeled data is not at the first position of the standard comparison template and the last set of labeled data is not at the last position of the standard comparison template, the first set of labeled data is extended upward in the three-dimensional data to obtain the upper extended data, and the last set of labeled data is extended downward in the three-dimensional data to obtain the lower extended data, and all data from the upper extended data to the lower extended data in the three-dimensional data are used as sample data; Step 3: Comprehensive damage identification: Import the sample data into BIM and convert it into a 3D model. Mark the corresponding models of the unmarked data in the sample data in the 3D model, and analyze whether there are any missing parts in the marked parts of the 3D model. The parts with missing parts in the marked parts of the 3D model are all damage points.

2. According to claim 1, a comprehensive damage identification method based on BIM technology is characterized in that: Selection of underwater structure model in step 1: B1. Query the underwater structure model from the BIM 3D model. If the underwater structure model exists, select it directly. If it does not exist, proceed to the next step. B2. Import the 3D data of the underwater area into BIM to obtain the underwater area model; B3. Delete the invalid model in the underwater area model in BIM, leaving the rough model of the underwater structure; B4. Repair the damaged parts in the rough model of the underwater structure in BIM to obtain the underwater structure model.

3. The comprehensive damage identification method based on BIM technology according to claim 1 is characterized in that: In the step 1, when acquiring the underwater structure data, the underwater structure data is classified according to the number or type of the underwater structures, and each type of underwater structure data is provided with a corresponding standard comparison template; In the step 2, after the three-dimensional data is obtained, the three-dimensional data is also classified according to the number or type of underwater structures, and a set of sample data can be obtained from each type of three-dimensional data.

4. The comprehensive damage identification method based on BIM technology according to claim 1 is characterized in that: The data in the standard comparison template is segmented. When the three-dimensional data is compared with the standard comparison template in step 2, each segment of data in the standard comparison template is compared with the three-dimensional data.

5. The comprehensive damage identification method based on BIM technology according to claim 4 is characterized in that: The comparison coefficient K is set, and the comparison coefficient K is negatively correlated with the byte length of each segment of data in the standard comparison template; In the step 2, when the single-segment data in the standard comparison template is overlapped with the three-dimensional data, the overlap rate T is obtained, and the ratio of the overlap rate T to the comparison coefficient K is calculated. When the ratio of the overlap rate T to the comparison coefficient K is greater than 100%, it is assumed that the single-segment data in the standard comparison template completely overlaps with the three-dimensional data.

6. The comprehensive damage identification method based on BIM technology according to claim 4 is characterized in that: In the step 2, after analyzing the positions of the first group of marker data and the last group of marker data in the standard comparison template, the byte length of the first segment of data in the first group of marker data and the standard comparison template and the byte length of the last segment of data in the last group of marker data and the standard comparison template are calculated; when selecting the upper extended data, the byte length of the upper extended data is greater than the byte length of the first segment of data in the first group of marker data and the standard comparison template; when selecting the lower extended data, the byte length of the lower extended data is greater than the byte length of the last segment of data in the last group of marker data and the standard comparison template.

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