An intelligent monitoring method for structural deformation of substation civil engineering

Abstract

The present invention relates to the field of intelligent monitoring of structural deformation, and particularly to a method for intelligent monitoring of structural deformation in substation civil engineering. The content includes: recording the spatial distribution of light point signals, constructing a light point coordinate matrix at the initial moment and performing a point-by-point weighting operation to generate a weighted light point coordinate matrix at the initial moment; measuring the light point coordinate matrix in real time to obtain the current coordinates of the light points, comparing them with the light point coordinates in the weighted light point coordinate matrix at the initial moment to obtain the displacement vector of the light points, and calculating the relative deformation tensor; performing eigenvalue decomposition on the relative deformation tensor to obtain an eigenvalue vector and calculating the stability response value; by analyzing the stability response values at historical moments, calculating the dynamic deformation trend value, and further determining whether the structure has abnormal deformation. It solves the problems of insufficient accuracy and resolution of light point data, difficulty in capturing small deformations and non-linear deformations, insufficient structural stability analysis, and lag in dynamic deformation trend analysis.

Description

Technical Field

[0001] The present invention relates to the field of intelligent monitoring of structural deformation, and particularly to a method for intelligent monitoring of structural deformation of substation civil engineering projects. Background Art

[0002] With the rapid development of the power system, as an important part of the power grid center, substations undertake the important tasks of power transmission and conversion. Their safe operation is directly related to the stability and reliability of the entire power system. As an important part of the substation, civil engineering projects (such as foundations, main transformer platforms, switch operation platforms, and firewalls) undertake important functions such as equipment installation and stable foundation. However, due to the influence of various factors such as the natural environment, human activities, and equipment operation for a long time, the structure of the substation civil engineering project may undergo varying degrees of deformation or damage, such as foundation settlement, crack generation, inclination, etc., which may not only endanger the safe operation of substation equipment but also lead to serious power grid accidents. Therefore, establishing a set of efficient, accurate, and real-time intelligent monitoring methods for structural deformation to comprehensively monitor the health status of substation civil engineering projects has important practical significance and economic benefits.

[0003] The traditional monitoring mode of civil engineering structures mainly relies on manual inspections. The methods used include visual inspection, crack measurement, etc., mainly relying on experienced technicians. It not only has low efficiency but also cannot provide real-time warning information for the deformation problems of civil engineering structures. The passive management mode often leads to problems being difficult to be discovered in time, and even intervenes after the problems develop to a serious stage, exacerbating potential safety hazards.

[0004] With the advancement of the intelligent transformation of the power system, the monitoring method combining the Internet of Things, big data, and artificial intelligence is expected to further improve the sensitivity and reliability of structural deformation monitoring of substation civil engineering projects. In the long run, by developing more diverse and intelligent technologies, a technical system for comprehensively ensuring the safe operation of the power grid can be established, laying a foundation for the intelligent and automated development of the power system.

[0005] However, the above-mentioned structural deformation monitoring methods still have problems such as insufficient accuracy and resolution of light point data, difficulty in capturing micro-deformation and non-linear deformation, insufficient structural stability analysis, and lag in dynamic deformation trend analysis. Summary of the Invention

[0006] The present invention provides a method for intelligent monitoring of structural deformation of substation civil engineering projects to solve the problems of insufficient accuracy and resolution of light point data, difficulty in capturing micro-deformation and non-linear deformation, insufficient structural stability analysis, and lag in dynamic deformation trend analysis.

[0007] A method for intelligent monitoring of structural deformation of substation civil engineering projects according to the present invention specifically includes the following technical solutions:

[0008] An intelligent monitoring method for structural deformation of substation civil engineering, comprising the following steps:

[0009] S1. Record the spatial distribution of light spot signals, and construct a light spot coordinate matrix at the initial moment; perform a point-by-point weighting operation on the light spot coordinate matrix at the initial moment to generate a weighted light spot coordinate matrix at the initial moment;

[0010] S2. Measure the light spot coordinate matrix in real time, and obtain the current coordinates of the light spots; compare the current coordinates of the light spots with the light spot coordinates in the weighted light spot coordinate matrix at the initial moment to obtain the displacement vector of the light spots; calculate the relative deformation tensor based on the displacement vector of the light spots;

[0011] S3. Perform eigenvalue decomposition on the relative deformation tensor to obtain an eigenvalue vector; quantify the stability of the structure at different monitoring moments based on the eigenvalue vector to obtain a stability response value;

[0012] S4. Analyze the stability response values at historical moments, calculate and obtain a dynamic deformation trend value; judge whether there is abnormal deformation in the substation civil engineering structure based on the dynamic deformation trend value.

[0013] Preferably, the S1 specifically includes:

[0014] Based on the light spot coordinate matrix at the initial moment, combine the distance relationship between the light spot and its neighboring light spots to calculate the weighting weight; construct a weighted matrix based on the distribution of light spots within the neighborhood based on the weighting weight.

[0015] Preferably, the S1 specifically includes:

[0016] Perform a point-by-point weighting operation on the light spot coordinate matrix at the initial moment through the weighted matrix based on the distribution of light spots within the neighborhood to generate a weighted light spot coordinate matrix at the initial moment.

[0017] Preferably, the S2 specifically includes:

[0018] Obtain the relative deformation tensor by calculating the dot product and outer product of the displacement vector of the light spots and introducing a non-linear adjustment term.

[0019] Preferably, the S2 specifically includes:

[0020] The calculation formula of the relative deformation tensor is:

[0021] ,

[0022] where, represents the relative deformation tensor at time ; and respectively represent the number of rows and columns of the light point coordinate matrix; means converting the dot product value into a diagonal matrix; is the displacement vector of the light point, indicating at time the row and the column of the displacement of the light point; indicating at time the dot product of the displacement vectors of the light points; indicating at time the outer product of the displacement vectors of the light points; means the non - linear adjustment term; means transpose.

[0023] Preferably, the step S3 specifically includes:

[0024] After normalizing the eigenvalues in the eigenvalue vector, calculate the modulus length of the eigenvalues, introduce an exponential term to quantify the stability of the structure at different monitoring times, and calculate the stability response value.

[0025] Preferably, the step S4 specifically includes:

[0026] By analyzing the stability response values at historical times, construct a dynamic trend function to obtain the dynamic deformation trend value.

[0027] Preferably, the step S4 specifically includes:

[0028] In the dynamic trend function, introduce a periodic adjustment term and a time decay term. The specific formula is:

[0029] ,

[0030] where, represents the dynamic deformation trend value at time ; represents the stability response value at time ; represents the historical time variable; is the initial time; represents the periodic adjustment term; represents the time decay term; represents the natural constant; represents the time decay parameter;

[0031] Compare the dynamic deformation trend value with a preset deformation trend threshold. When the dynamic deformation trend value is less than the preset deformation trend threshold, it indicates that the substation civil engineering structure has abnormal deformation, otherwise it is normal.

[0032] The beneficial effects of the technical solution of the present invention are:

[0033] 1. By constructing the light spot coordinate matrix at the initial moment with a multi - point laser emission device and a sensor array, and processing it in combination with the weighted matrix based on the light spot distribution within the neighborhood, the error caused by sensor accuracy limitations or data loss can be reduced. The weighted light spot coordinate matrix enhances the data resolution. Especially in areas where light spots are dense or sparse, it can capture tiny deformations more accurately, providing reliable data support for subsequent deformation analysis.

[0034] 2. The relative deformation tensor, by introducing a non - linear adjustment term and weighting for small displacements, enhances the detection ability for small - amplitude deformations. Through the calculation of the outer product, it further reflects the relative deformation relationship between light spots in space, effectively capturing fine structural deformations and reducing the impact of large deformations on the analysis results.

[0035] 3. By performing eigenvalue decomposition on the relative deformation tensor to obtain the stability response value, and thus establishing the stability response function, it ensures that for different deformation situations, small deformations have higher sensitivity, while avoiding the over - dominance of large deformations on the results.

[0036] 4. The dynamic trend function, through the introduction of periodic adjustment and time - decay terms, can accurately capture the long - term deformation trend of the structure and improve the sensitivity of deformation detection. By comparing with the preset deformation trend threshold, it can effectively determine whether the structure has abnormal deformation. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a flowchart of a method for intelligent monitoring of the structural deformation of a substation civil engineering project according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0039] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of the present invention.

[0040] The following specifically describes the specific solution of a method for intelligent monitoring of the structural deformation of a substation civil engineering project provided by the present invention in conjunction with the accompanying drawings.

[0041] Refer to the attached Figure 1, which shows a flowchart of a method for intelligent monitoring of structural deformation of a substation civil engineering project provided by an embodiment of the present invention. The method includes the following steps:

[0042] S1. Record the spatial distribution of the light spot signals, and construct a light spot coordinate matrix at the initial moment; perform a point-by-point weighting operation on the light spot coordinate matrix at the initial moment to generate a weighted light spot coordinate matrix at the initial moment;

[0043] Through a multi-point laser emission device, project multiple light spot signals on the surface of the substation civil engineering structure, and use a sensor array to record the spatial distribution of the light spot signals at the initial moment to construct a light spot coordinate matrix at the initial moment , the light spot coordinate matrix has rows columns. The light spot coordinate at the th row and the th column in the light spot coordinate matrix is represented as , represents the position of the light spot at the th moment, the th row and the th column on the axis, represents the position of the light spot at the th moment, the th row and the th column on the axis, represents the position of the light spot at the th moment, the th row and the th column on the axis;

[0044] To improve the accuracy and resolution of the light spot signals, a weighting matrix based on the distribution of light spots in the neighborhood is introduced. By considering the distance relationship between the light spots and the light spots in the neighborhood, the weighting weights are calculated, and a weighted initial matrix is generated through a point-by-point weighting operation;

[0045] The calculation of the weighting weights in the weighting matrix based on the distribution of light spots in the neighborhood takes into account the distance differences between the light spots, so that the light spots in the dense area and the sparse area can be reasonably processed, which helps to reduce the influence caused by sensor accuracy limitations or data loss; specifically, in order to calculate the weighting weights, it is necessary to define the neighborhood set of the light spots. The neighborhood light spots may be the adjacent points in the up, down, left, right or four diagonal directions of the light spot. For each neighborhood light spot, calculate the square of the Euclidean distance, sum the squares of the distances of all the light spots in the neighborhood, and finally take the reciprocal after adding one to calculate the weighting weight; based on the weighting weights, construct a weighting matrix based on the distribution of light spots in the neighborhood; the calculation formula of the weighting weight is:

[0046] ,

[0047] Among them, represents the weighted weight of the light spot at moment, reflecting the relative importance of the light spot at the initial moment; ; represents the neighborhood set of the light spot , which can be specifically set according to the specific implementation scenario and is not limited here; represents the square of the Euclidean distance from the light spot to the neighborhood light spot . The Euclidean distance method is a well-known technical means in the art and will not be elaborated here;

[0048] Adjust the position of each light spot by the corresponding weighted weight, and generate the weighted light spot coordinate matrix at the initial moment through point-by-point weighting operation. The formula is as follows:

[0049] ,

[0050] Among them, represents the weighted light spot coordinate matrix at the initial moment; represents the weighted matrix based on the distribution of light spots in the neighborhood; represents the point-by-point weighting operation; represents the light spot coordinate matrix at the initial moment;

[0051] By performing weighted processing on the light spot signal at the initial moment, small deformations can be captured, providing reliable data support for subsequent deformation analysis and helping to detect potential structural problems in advance;

[0052] S2. Measure the light spot coordinate matrix in real time and obtain the current coordinates of the light spots; compare the current coordinates of the light spots with the light spot coordinates in the weighted light spot coordinate matrix at the initial moment to obtain the displacement vector of the light spots; calculate the relative deformation tensor based on the displacement vector of the light spots;

[0053] At the monitoring moment , re-measure the new light spot coordinate matrix through the sensor array and obtain the current coordinates of each light spot; compare the light spot coordinates at the moment with the light spot coordinates in the weighted light spot coordinate matrix at the initial moment to calculate the displacement vector of the light spots. The displacement vector represents the displacement change of the light spots in space and reflects the deformation of the structure during the time process; the calculation formula of the displacement vector is:

[0054] ,

[0055] Among them, represents the displacement vector of the light spot, representing at the moment No. Line The displacement of the light spot of the column; Indicates at time No. Line Columns of light spot coordinates; Indicates that at the initial moment Weighted light spot coordinates;

[0056] A relative deformation tensor is introduced to describe the overall deformation characteristics of the structure. The relative deformation tensor not only considers the dot product of the displacement vector of the light spot, but also calculates the outer product of the displacement vector of the light spot, and introduces a nonlinear adjustment term. A weighted calculation is performed based on the square of the module of the displacement vector of the light spot, and a higher weight is given to a smaller displacement change to capture tiny nonlinear deformations. By calculating the outer product of the displacement vector of the light spot, the relative deformation relationship between different light spots in space is reflected, which further enhances the sensitivity to displacement.

[0057] The calculation formula of the relative deformation tensor is:

[0058] ,

[0059] in, Indicates at time The relative deformation tensor describes the structure at time Overall deformation characteristics; Indicates at time The inner product (dot product) of the displacement vector of the light spot reflects the magnitude of the light spot displacement; Indicates converting the dot product value into a diagonal matrix; Indicates at time The outer product of the displacement vectors of the light spots reflects the interaction between the displacement vectors and is used to capture the relative position relationship between the light spots; Represents a nonlinear adjustment term, which is used to reduce the impact of large displacements and enhance the weighted effect of small displacements, making subtle deformations more sensitive, helping to capture small deformations and prevent excessive amplification of large deformations; Indicates at time The square of the displacement vector of the light spot; Indicates that the contribution of all light points is normalized so that the calculation of the relative deformation tensor can balance the contribution of each light point; represents transpose;

[0060] S3, performing eigenvalue decomposition on the relative deformation tensor to obtain an eigenvalue vector; based on the eigenvalue vector, quantifying the stability of the structure at different monitoring times to obtain a stability response value;

[0061] Perform eigenvalue decomposition on the relative deformation tensor to obtain the eigenvalue vector ; Based on the eigenvalue vector, establish a stability response function to quantify the stability of the structure at different monitoring times, and obtain the stability response value to further improve the response ability to structural deformation;

[0062] The calculation of the stability response function is to normalize each eigenvalue so that the magnitude of the eigenvalue is within a certain range to avoid the excessive influence of extreme values on the stability response function. The normalization process is achieved by calculating the ratio of the eigenvalue to the sum of its squares, which can maintain the original deformation information of the structure while suppressing unnecessary interference; After processing the eigenvalues, calculate the modulus length of the eigenvalues to help identify the relative changes between different eigenvalues; And introduce an exponential term to enhance the non-linear attenuation effect of the stability response function on larger eigenvalues, ensuring that small deformations are not ignored while avoiding the over-dominant effect of large deformations on the results;

[0063] The construction formula of the stability response function is:

[0064] ,

[0065] where represents the stability response value at time ; represents the -th eigenvalue of the relative deformation tensor at time , indicating the degree of deformation of the structure in a certain direction, represents three different eigen directions; represents the normalization term, which is used to limit the influence of each eigenvalue within a certain range to avoid the situation of too large or too small eigenvalues affecting the calculation of the stability response function; represents adding a bias to each eigenvalue to avoid the situation that when the eigenvalue is very large, the normalized value is also too large, resulting in excessive influence; represents suppressing the increase of the eigenvalue when it is large through the square root, so as to ensure that the influence is moderate; represents the modulus length term, which sums the normalization results of each eigenvalue to reflect the influence degree of each eigenvalue on the overall structural deformation. Through squaring, the contribution of larger eigenvalues to stability is further amplified; represents the exponential term, which is used to enhance the non-linear attenuation effect of the stability response function on larger eigenvalues;

[0066] S4. Analyze the stability response values at historical times to calculate the dynamic deformation trend value; Based on the dynamic deformation trend value, judge whether there is abnormal deformation in the substation civil engineering structure;

[0067] By analyzing the stability response values at historical moments, a dynamic trend function is constructed, and the dynamic deformation trend value at the current moment is calculated;

[0068] The construction of the dynamic trend function takes into account the periodic fluctuations of the structural deformation trend and the influence of time decay, and can accurately reflect the overall deformation of the structure;

[0069] To capture the potential periodic fluctuations of structural deformation, a periodic adjustment term is introduced into the dynamic trend function. Based on the time difference between the current moment and historical moments, the periodic characteristics of the sine function are used to adjust the deformation trend, which can identify the periodic changes in the long-term trend and thus improve the sensitivity of deformation detection;

[0070] To avoid the influence of the stability response values of outdated historical moments on the dynamic deformation trend value at the current moment, a time decay term is introduced. The exponential decay function is used to assign a lower weight to the stability response values of historical moments that are farther in time, ensuring that the stability response value at the current moment has a more significant influence on the deformation trend. A time decay parameter is introduced to control the degree of attenuation of the influence of the stability response values of historical moments on the current deformation trend over time;

[0071] The calculation formula for the dynamic deformation trend value is:

[0072] ,

[0073] where, represents the dynamic deformation trend value at time ; represents the stability response value at time ; represents the historical time variable, which is the integration variable in the integral, representing the time points between time and the current time ; represents the periodic adjustment term, which is used to capture potential periodic deformation fluctuations, and adjusts the deformation trend through the periodic fluctuations of the sine function to better conform to the actual periodic changes; represents the time decay term, and the influence of the stability response value of the historical moment gradually weakens over time; represents the natural constant; represents the time decay parameter, which is used to control the degree of attenuation of the influence of the stability response value of the historical moment on the current deformation trend over time, and can be specifically set according to the specific implementation scenario and is not limited here; represents the integral operation;

[0074] Compare the dynamic deformation trend value with a preset deformation trend threshold to determine whether there is abnormal deformation in the substation civil engineering structure; the deformation trend threshold can be specifically set according to the specific implementation scenario and is not limited here.

[0075] When the dynamic deformation trend value is less than the preset deformation trend threshold, it indicates that there is abnormal deformation in the substation civil engineering structure; otherwise, it is normal.

[0076] In summary, a method for intelligent monitoring of the deformation of the substation civil engineering structure is completed.

[0077] The sequence of the invention embodiments is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0078] Each embodiment in this specification is described in a progressive manner. For the same or similar parts between the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments.

[0079] The above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments or perform equivalent replacements for some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention and should all be included in the protection scope of the present invention.

Claims

1. A method for intelligent monitoring of the structural deformation of a substation civil engineering project, characterized in that, It includes the following steps: S1. Record the spatial distribution of the light spot signals, and construct the light spot coordinate matrix at the initial moment; perform a point-by-point weighting operation on the light spot coordinate matrix at the initial moment to generate the weighted light spot coordinate matrix at the initial moment; S2. Measure the light spot coordinate matrix in real time and obtain the current coordinates of the light spots; compare the current coordinates of the light spots with the light spot coordinates in the weighted light spot coordinate matrix at the initial moment to obtain the displacement vector of the light spots; based on the displacement vector of the light spots, calculate the relative deformation tensor. The specific formula is: ， Among them, represents the relative deformation tensor at time ; and respectively represent the number of rows and columns of the light spot coordinate matrix; represents converting the dot product value into a diagonal matrix; is the displacement vector of the light spot at the th row and th column at time ; represents the dot product of the displacement vectors of the light spots at time ; represents the outer product of the displacement vectors of the light spots at time ; represents the transpose; S3. Perform eigenvalue decomposition on the relative deformation tensor to obtain the eigenvalue vector; based on the eigenvalue vector, construct a stability response function to quantify the stability of the structure at different monitoring moments and obtain the stability response value. The formula of the stability response function is as follows: ， Among them, represents the stability response value at time ; represents the -th eigenvalue of the relative deformation tensor at time ; S4. Analyze the stability response values at historical moments to calculate the dynamic deformation trend value; based on the dynamic deformation trend value, judge whether there is abnormal deformation in the substation civil engineering structure.

2. The method for intelligent monitoring of structural deformation of a substation civil engineering project according to claim 1, characterized in that, The specific content of S1 includes: Based on the light spot coordinate matrix at the initial moment, combine the distance relationship between the light spot and its neighboring light spots to calculate the weighting weights; based on the weighting weights, construct a weighting matrix based on the distribution of light spots within the neighborhood.

3. The method for intelligent monitoring of structural deformation of a substation civil engineering project according to claim 2, characterized in that, The specific content of S1 includes: Perform a point-by-point weighting operation on the light spot coordinate matrix at the initial moment through the weighting matrix based on the distribution of light spots within the neighborhood to generate the weighted light spot coordinate matrix at the initial moment.

4. A method for intelligent monitoring of structural deformation of a substation civil engineering project according to claim 1, characterized in that, The specific content of S4 includes: Analyze the stability response values at historical moments to construct a dynamic trend function and obtain the dynamic deformation trend value.

5. A method for intelligent monitoring of the structural deformation of a substation civil engineering project according to claim 4, characterized in that, The specific content of S4 includes: In the dynamic trend function, introduce a periodic adjustment term and a time decay term. The specific formula is: ， Among them, represents the dynamic deformation trend value at time ; represents the stability response value at time ; represents the historical time variable; is the initial time; represents the periodic adjustment term; represents the time decay term; represents the natural constant; represents the time decay parameter; Compare the dynamic deformation trend value with a preset deformation trend threshold. When the dynamic deformation trend value is less than the preset deformation trend threshold, it indicates that there is abnormal deformation in the substation civil engineering structure; otherwise, it is normal.

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