Component uniform sampling method based on random grid layering algorithm

Abstract

The invention relates to the technical field of existing building structure detection and identification, in particular to a component uniform sampling method based on a random grid layering algorithm, which comprises the following steps of: firstly, constructing a multi-level address in a floor, then constructing a one-dimensional space based on the sequence of the multi-level address, and determining a detection component in the one-dimensional space by adopting a system sampling method. Compared with the prior art, the method has the advantages that sampling randomness of field detection personnel is avoided, uniformity of spatial distribution of extracted components in the structure is guaranteed, and reliability and scientificity of detection results are improved.

Description

Technical Field

[0001] The invention relates to the technical field of existing building structure detection and identification, and in particular to a component uniform sampling method based on a random grid stratification algorithm. Background Art

[0002] Due to the huge number of concrete components in actual engineering structures, it is difficult to conduct comprehensive inspections on all components when inspecting existing structures. Existing technologies usually use stratified random sampling methods. Specifically, a certain number of components are randomly selected from the inspection batch, and then the measurement areas are arranged on the selected components for inspection according to the requirements of the specifications. At present, my country's specifications do not clearly stipulate the specific sampling plan, and usually use a simple random sampling method, that is, randomly selecting samples from the population.

[0003] However, due to the large size of actual engineering structures and complex on-site conditions, in actual operations, the components to be tested are mostly selected based on the engineering experience or operational convenience of on-site testers, making it difficult to ensure the uniformity of the spatial distribution of the actual test components in the structure. Since the concrete in the structure has a certain spatial correlation, this sampling method will result in insufficient sample representativeness, reducing the reliability and scientificity of the test results. Summary of the invention

[0004] In view of the problem that it is difficult to ensure the spatial uniformity of inspected components during concrete structure inspection, the present invention proposes a component sampling method based on a random grid stratification algorithm, which can achieve uniform sampling of components during concrete structure inspection. The components extracted from the concrete structure to be inspected by this method have uniform spatial distribution.

[0005] To achieve the above object, the present invention adopts the following technical solution: A component uniform sampling method based on a random grid stratification algorithm specifically comprises the following steps: (1) Determine the plane size Determine the plane dimensions of the structure to be inspected based on the architectural structure design drawings or on-site measurements; (2) Quarter Divide the floor to be inspected into four parts of equal area and number them in sequence; (3) Continue to divide into four equal parts Divide each of the four parts into four sub-parts and number them sequentially; continue dividing and numbering each sub-part until each sub-part contains only a small number of components; (4) Constructing one-dimensional space A one-dimensional space is constructed in the order of the multi-level numbers of all sub-parts, and the length of the line segment in the one-dimensional space represents the weight; (5) Systematic sampling method A systematic sampling method is used to determine the sub-part where the detection component is located in the one-dimensional space; (6) Select the detection component Components are randomly selected as test samples in subsections determined by systematic sampling methods.

[0006] Preferably, the steps (2) and (3) are numbered in a clockwise direction.

[0007] Preferably, in step (4), different weights are assigned to key sampling areas and weak locations in the structure.

[0008] Preferably, the specific steps of the systematic sampling method in step (5) are: Divide the one-dimensional space line segment into n segments according to the number of sampling points n; Randomly select the initial point in the first segment; Select other sampling points in the remaining segments at equal intervals of l / n.

[0009] Compared with the prior art, the present invention has the following beneficial effects: The core principle of the present invention is based on the random grid layering algorithm. First, a multi-level address inside the floor is constructed, and then a one-dimensional space is constructed based on the order of the multi-level address. In the one-dimensional space, a systematic sampling method is used to determine the detection components. Compared with traditional technologies, this method avoids the randomness of sampling by on-site detection personnel and ensures that the spatial distribution of the extracted components in the structure is uniform. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 This is a floor size and component spatial position diagram of an embodiment of the present invention.

[0011] Figure 2 This is a diagram of a structure divided into four equal parts according to an embodiment of the present invention.

[0012] Figure 3 This is a diagram of the secondary quartering structure of an embodiment of the present invention.

[0013] Figure 4 This is a diagram of a three-quarter structure of an embodiment of the present invention.

[0014] Figure 5 A one-dimensional spatial structure diagram is constructed for the embodiment of the present invention.

[0015] Figure 6 This is a structural diagram of dividing a one-dimensional space line segment into 11 segments according to an embodiment of the present invention.

[0016] Figure 7 This is a randomly selected initial point structure diagram in the first paragraph of the embodiment of the present invention.

[0017] Figure 8This is a structural diagram of selecting other sampling points in the remaining segments at equal intervals of l / n according to an embodiment of the present invention.

[0018] Fig. 9 This is a diagram showing the spatial position structure of the sub-part to be detected according to an embodiment of the present invention.

[0019] Fig.10 This is a spatial position structure diagram of a component to be detected according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation mode, structure, characteristics and effects of the present invention are described in detail below in combination with the accompanying drawings and preferred embodiments.

[0021] Embodiment: A component uniform sampling method based on a random grid stratification algorithm of the present invention specifically comprises the following steps: (1) Determine the plane size See also Figure 1 , determine the plane dimensions of the structure to be inspected based on the building structure design drawings or on-site measurements.

[0022] (2) Quarter See also Figure 2 , divide the floor to be tested into four parts of roughly equal area, and number them 1, 2, 3 and 4 in a clockwise direction.

[0023] (3) Continue to divide into four equal parts See also Figure 3 , further, according to the principle of roughly equal area, the four parts are divided into four sub-parts, and numbered in a clockwise direction. Among them, the four sub-parts of number 1 are numbered 11, 12, 13 and 14, the four sub-parts of number 2 are numbered 21, 22, 23 and 24, the four sub-parts of number 3 are numbered 31, 32, 33 and 34, and the four sub-parts of number 4 are numbered 41, 42, 43 and 44.

[0024] See also Figure 4 , each sub-part is further divided and numbered until each sub-part contains only a small number of components. Among them, the four sub-parts of number 11 are numbered 111, 112, 113 and 114 respectively, and the remaining numbers are numbered in accordance with number 11.

[0025] (4) Constructing one-dimensional space See also Figure 5 ,A one-dimensional space is constructed in the order of the multi-level numbers of all sub-parts. The length of the line segment in the one-dimensional space represents the weight. Different weights can be assigned to the key sampling areas and weak parts in the structure.

[0026] (5) Systematic sampling method See also Figures 6 to 8 , a systematic sampling method is used to determine the sub-part where the detection component is located in one-dimensional space: 1) Divide the one-dimensional space line segment into n segments according to the number of sampling points n; 2) Randomly select the initial point in the first segment; 3) Select other sampling points in the remaining segments at equal intervals of l / n.

[0027] (6) Select the detection component Components are randomly selected as test samples in subsections determined by systematic sampling methods.

[0028] To verify this method, a sampling test was conducted on the columns of a certain floor of the structure. There were 56 columns in the floor, and 11 columns were selected for testing. The steps of selecting components by this method and the components selected are as follows: Figure 9-10 As shown. Figure 9-10 It can be seen that the components selected by this method are distributed more evenly in the structure.

[0029] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A component uniform sampling method based on a random grid stratification algorithm, characterized in that: The specific steps include: (1) Determine the plane size Determine the plane dimensions of the structure to be inspected based on the architectural structure design drawings or on-site measurements; (2) Quarter Divide the floor to be inspected into four parts of roughly equal area and number them in sequence; (3) Continue to divide into four equal parts Divide each of the four parts into four sub-parts and number them sequentially; continue dividing and numbering each sub-part until each sub-part contains only a small number of components; (4) Constructing one-dimensional space A one-dimensional space is constructed in the order of the multi-level numbers of all sub-parts, and the length of the line segment in the one-dimensional space represents the weight; (5) Systematic sampling method A systematic sampling method is used to determine the sub-part where the detection component is located in the one-dimensional space; (6) Select the detection component Components are randomly selected as test samples in subsections determined by systematic sampling methods.

2. A component uniform sampling method based on a random grid stratification algorithm as claimed in claim 1, characterized in that: The steps (2) and (3) are numbered in a clockwise direction.

3. The component uniform sampling method based on random grid stratification algorithm according to claim 1, characterized in that: In step (4), different weights are assigned to the key sampling areas and weak points in the structure.

4. The component uniform sampling method based on random grid stratification algorithm according to claim 1, characterized in that: The specific steps of the systematic sampling method in step (5) are as follows: Divide the one-dimensional space line segment into n segments according to the number of sampling points n; Randomly select the initial point in the first segment; Select other sampling points in the remaining segments at equal intervals of l / n.

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