Method for intelligently monitoring structural deformation of civil engineering of transformer substation

Abstract

The invention relates to the field of intelligent monitoring of structural deformation, in particular to a method for intelligently monitoring structural deformation of civil engineering of a transformer substation. The method comprises the following steps: recording spatial distribution of light spot signals, constructing a light spot coordinate matrix at an initial moment, carrying out point-by-point weighting operation, and generating a weighted light spot coordinate matrix at the initial moment; the light spot coordinate matrix is measured in real time, the current coordinate of the light spot is obtained, the current coordinate is compared with the light spot coordinate in the light spot coordinate matrix weighted at the initial moment, the displacement vector of the light spot is obtained, and the relative deformation tensor is calculated; performing eigenvalue decomposition on the relative deformation tensor to obtain an eigenvalue vector, and calculating a stability response value; and analyzing the stability response value at the historical moment, calculating to obtain a dynamic deformation trend value, and further judging whether the structure has abnormal deformation or not. The problems that light spot data precision and resolution are insufficient, tiny deformation and non-linear deformation are difficult to capture, structural stability analysis is insufficient, and dynamic deformation trend analysis is lagged are solved.

Description

Technical Field

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

[0002] With the rapid development of the power system, substations, as an important part of the power grid hub, bear the heavy responsibility 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 (such as foundation, main transformer platform, switch operation platform and firewall, etc.) undertakes important functions such as equipment installation and stable foundation. However, due to the long-term influence of various factors such as natural environment, human activities and equipment operation, the structure of the substation civil engineering may be deformed or damaged to varying degrees, such as foundation settlement, cracks, tilt, etc., which may not only endanger the safe operation of substation equipment, but also cause serious power grid accidents. Therefore, it is of great practical significance and economic benefit to establish a set of efficient, accurate and real-time intelligent monitoring methods for structural deformation to comprehensively monitor the health status of substation civil engineering.

[0003] The traditional monitoring mode of civil engineering structures is mainly based on manual inspection, and the methods adopted include visual inspection, crack measurement, etc., which mainly rely on experienced technicians. It is not only inefficient, but also cannot provide real-time early warning information for deformation problems of civil engineering structures. The passive management mode often makes it difficult to detect problems in time, and even intervenes only after the problems have developed to a serious stage, exacerbating 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. In the long run, by developing more diverse and intelligent technologies, a technical system that comprehensively guarantees the safe operation of the power grid can be established, laying the 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 spot data, difficulty in capturing small deformations and nonlinear deformations, insufficient structural stability analysis, and delayed analysis of dynamic deformation trends. Summary of the invention

[0006] The present invention provides a method for intelligently monitoring deformation of civil engineering structures of transformer substations, so as to solve the problems of insufficient accuracy and resolution of light spot data, difficulty in capturing tiny deformations and nonlinear deformations, insufficient analysis of structural stability and delayed analysis of dynamic deformation trends.

[0007] A method for intelligently monitoring deformation of a substation civil engineering structure of the present invention specifically includes the following technical solutions: A method for intelligently monitoring deformation of a substation civil engineering structure comprises the following steps: S1. Record the spatial distribution of the light spot signal 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; S2, measuring the light spot coordinate matrix in real time and obtaining the current coordinate of the light spot; comparing the current coordinate of the light spot with the light spot coordinate in the weighted light spot coordinate matrix at the initial moment to obtain the displacement vector of the light spot; calculating the relative deformation tensor based on the displacement vector of the light spot; 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; S4. By analyzing the stability response values ​​at historical moments, the dynamic deformation trend value is calculated; based on the dynamic deformation trend value, it is determined whether the substation civil engineering structure has abnormal deformation.

[0008] Preferably, the S1 specifically includes: Based on the light spot coordinate matrix at the initial moment, combined with the distance relationship between the light spot and the neighboring light spots, the weighted weights are calculated; based on the weighted weights, a weighted matrix based on the distribution of light spots in the neighborhood is constructed.

[0009] Preferably, the S1 specifically includes: The light spot coordinate matrix at the initial moment is weighted point by point by using a weighting matrix based on the light spot distribution in the neighborhood to generate a weighted light spot coordinate matrix at the initial moment.

[0010] Preferably, the S2 specifically includes: The relative deformation tensor is obtained by calculating the dot product and outer product of the displacement vector of the light spot and introducing a nonlinear adjustment term.

[0011] Preferably, the S2 specifically includes: The calculation formula of the relative deformation tensor is: , in, Indicates at time The relative deformation tensor of ; and Respectively represent the number of rows and columns of the light spot coordinate matrix; Indicates converting the dot product value into a diagonal matrix; is the displacement vector of the light point, indicating that at time No. Line The displacement of the light spot of the column; Indicates at time The dot product of the light point's displacement vector; Indicates at time The outer product of the displacement vector of the light spot; represents the nonlinear adjustment term; Indicates transpose.

[0012] Preferably, the S3 specifically includes: After normalizing the eigenvalues ​​in the eigenvalue vector, the modulus of the eigenvalue is calculated, and an exponential term is introduced to quantify the stability of the structure at different monitoring times, and the stability response value is calculated.

[0013] Preferably, the S4 specifically includes: By analyzing the stability response values ​​at historical moments, a dynamic trend function is constructed to obtain the dynamic deformation trend value.

[0014] Preferably, the S4 specifically includes: In the dynamic trend function, periodic adjustment terms and time decay terms are introduced, and the specific formula is: , in, Indicates at time Dynamic deformation trend value; Indicates at time The stability response value of represents a historical time variable; is the initial moment; Represents a periodic adjustment item; represents the time decay term; represents a natural constant; represents the time decay parameter; The dynamic deformation trend value is compared with the 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.

[0015] The beneficial effects of the technical solution of the present invention are: 1. The light spot coordinate matrix at the initial moment is constructed by a multi-point laser emitting device and a sensor array, and is processed in combination with a weighted matrix based on the distribution of light spots in the neighborhood. This can reduce errors caused by sensor accuracy limitations or data loss. The weighted light spot coordinate matrix enhances the data resolution, especially in areas with dense or sparse light spots. It can more accurately capture tiny deformations and provide reliable data support for subsequent deformation analysis.

[0016] 2. The relative deformation tensor introduces nonlinear adjustment terms to weight small displacements, thereby enhancing the detection capability of small deformations. Through the calculation of the outer product, it further reflects the relative deformation relationship between light points in space, effectively captures subtle structural deformations, and reduces the impact of large deformations on the analysis results.

[0017] 3. By performing eigenvalue decomposition on the relative deformation tensor, the stability response value is obtained, and then the stability response function is established, which ensures that small deformations have higher sensitivity under different deformation conditions, while avoiding the excessive dominance of large deformations on the results.

[0018] 4. The dynamic trend function can accurately capture the long-term deformation trend of the structure through the introduction of periodic adjustment and time attenuation terms, 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

[0019] Figure 1 The present invention is a flowchart of a method for intelligently monitoring deformation of a substation civil engineering structure. 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 technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only a part of the embodiment of the present invention, not all 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.

[0021] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0022] The specific scheme of the method for intelligently monitoring deformation of civil engineering structure of a substation provided by the present invention is described in detail below with reference to the accompanying drawings.

[0023] See attached Figure 1 , which shows a flow chart 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 comprising the following steps: S1. Record the spatial distribution of the light spot signal 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; Through the multi-point laser emission device, multiple light spot signals are projected on the surface of the substation civil engineering structure, and the sensor array is used to record the light spot signals at the initial moment. The spatial distribution of the light spot at the initial moment is constructed , the light spot coordinate matrix has OK Column, the first column in the light spot coordinate matrix Line The light spot coordinates of the column are expressed as , Indicated in Moment Line The light spots of the column are The position on the axis, Indicated in Moment Line The light spots of the column are The position on the axis, Indicated in Moment Line The light spots of the column are Position on the axis; In order to improve the accuracy and resolution of the light spot signal, a weighted matrix based on the distribution of light spots in the neighborhood is introduced. By considering the distance relationship between the light spot and the light spots in the neighborhood, the weighted weight is calculated, and the weighted initial matrix is ​​generated through point-by-point weighting operation. The calculation of weighted weights in the weighted matrix based on the distribution of light spots in the neighborhood takes into account the distance difference between the light spots, so that the light spots in dense areas and sparse areas can be reasonably processed, which helps to reduce the impact caused by sensor accuracy limitations or data loss; specifically, in order to calculate the weighted weights, it is necessary to define a neighborhood set of light spots, and the neighborhood light spots may be the neighbors above, below, left, right, or four diagonal directions of the light spots. For each neighborhood light spot, the square of the Euclidean distance is calculated, and the square of the distances of all light spots in the neighborhood is summed, and finally one is added and the inverse is taken to calculate the weighted weight; based on the weighted weights, a weighted matrix based on the distribution of light spots in the neighborhood is constructed; the calculation formula of the weighted weights is: , in, Indicated in Moment of Light The weighted weight of reflects the relative importance of the light spot at the initial moment; Indicates light spot The neighborhood set can be set according to the specific implementation scenario and is not limited here; Indicates light spot To the neighboring light point The Euclidean distance squared, the Euclidean distance method is a technical means well known to those skilled in the art and will not be described in detail here; The position of each light spot is adjusted by the corresponding weighted weight, and the weighted light spot coordinate matrix at the initial moment is generated through point-by-point weighting operation. The formula is as follows: , in, Represents the weighted light spot coordinate matrix at the initial moment; represents the weighting matrix based on the distribution of light points in the neighborhood; represents a point-wise weighted operation; Represents the light spot coordinate matrix at the initial moment; By weighting the light spot signal at the initial moment, it is possible to capture tiny deformations, providing reliable data support for subsequent deformation analysis and helping to discover potential structural problems in advance. S2, measuring the light spot coordinate matrix in real time and obtaining the current coordinate of the light spot; comparing the current coordinate of the light spot with the light spot coordinate in the weighted light spot coordinate matrix at the initial moment to obtain the displacement vector of the light spot; calculating the relative deformation tensor based on the displacement vector of the light spot; At the monitoring time , re-measure the new light point coordinate matrix through the sensor array and obtain the current coordinates of each light point; The light spot coordinates at the initial moment are compared with the light spot coordinates in the weighted light spot coordinate matrix, and the displacement vector of the light spot is calculated. The displacement vector represents the displacement change of the light spot in space and reflects the deformation of the structure in the time process. The calculation formula of the displacement vector is: , in, Represents the displacement vector of the light point, indicating the time 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; 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. The calculation formula of the relative deformation tensor is: , 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; 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; Perform eigenvalue decomposition on the relative deformation tensor to obtain the eigenvalue vector ; Based on the eigenvalue vector, a stability response function is established to quantify the stability of the structure at different monitoring times and obtain the stability response value to further improve the response capability to structural deformation; The calculation of the stability response function is to normalize each eigenvalue so that the size of the eigenvalue is within a certain range to avoid excessive influence of extreme values ​​on the stability response function. The normalization process is achieved by calculating the ratio of the eigenvalue to the corresponding sum of squares, which can maintain the original deformation information of the structure while suppressing unnecessary interference; after processing the eigenvalue, the modulus of the eigenvalue is calculated to help identify the relative changes between different eigenvalues; and an exponential term is introduced to enhance the nonlinear attenuation effect of the stability response function on larger eigenvalues, ensuring that small deformations are not ignored and avoiding excessive dominance of large deformations on the results; The formula for constructing the stability response function is: , in, Indicates at time The stability response value of Indicates at time The relative deformation tensor An eigenvalue represents the degree of deformation of the structure in a certain direction. Indicates three different feature directions; represents the normalization term, which is used to limit the influence of each eigenvalue within a certain range to avoid the situation where the eigenvalue is too large or too small and affects the calculation of the stability response function; This means adding a bias to each eigenvalue to avoid excessive impact when the eigenvalue is very large and the normalized value is too large. It means that the square root makes the increase of the eigenvalue suppressed when it is large, thus ensuring that the impact is moderate; It represents the modulus length term, and the normalized results of each eigenvalue are summed to reflect the influence of each eigenvalue on the overall structural deformation. By squaring, the contribution of the larger eigenvalue to the stability is further amplified; represents an exponential term, which is used to enhance the nonlinear attenuation effect of the stability response function for larger eigenvalues; S4. By analyzing the stability response values ​​at historical moments, a dynamic deformation trend value is calculated; based on the dynamic deformation trend value, it is determined whether the substation civil engineering structure has abnormal deformation; By analyzing the stability response values ​​at historical moments, a dynamic trend function is constructed to calculate the dynamic deformation trend value at the current moment; The construction of the dynamic trend function takes into account the periodic fluctuation of the structural deformation trend and the influence of time decay, and can accurately reflect the overall deformation of the structure; In order 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 the historical moment, 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. In order to avoid the influence of outdated stability response values ​​at historical moments on the dynamic deformation trend value at the current moment, a time decay term is introduced. An exponential decay function is used to give a lower weight to the stability response values ​​at historical moments with a longer 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 attenuation degree of the influence of the stability response value at historical moments on the current deformation trend as time goes by. The calculation formula of dynamic deformation trend value is: , in, Indicates at time Dynamic deformation trend value; Indicates at time The stability response value of Represents the historical time variable, which is the integral variable in the integral, indicating the Time to current time The time points between Represents the periodic adjustment term, which is used to capture potential periodic deformation fluctuations and adjust the deformation trend through the periodic fluctuations of the sine function to be more consistent with the actual periodic changes; It represents the time decay term. As time goes by, the influence of the stability response value at the historical moment gradually weakens. represents a natural constant; It represents the time attenuation parameter, which is used to control the attenuation degree of the influence of the stability response value at the historical moment on the current deformation trend as time goes by. It can be set according to the specific implementation scenario and is not limited here. represents an integral operation; Compare the dynamic deformation trend value with the preset deformation trend threshold to determine whether the substation civil engineering structure has abnormal deformation; the deformation trend threshold can be set according to the specific implementation scenario and is not limited here; 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.

[0024] In summary, a method for intelligent monitoring of structural deformation of civil engineering of substations has been completed.

[0025] The order of the embodiments of the invention is for description only and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0026] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0027] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A method for intelligent monitoring of structural deformation of a substation civil engineering project, characterized in that: The following steps are involved: S1. Record the spatial distribution of the light spot signal 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; S2, measuring the light spot coordinate matrix in real time and obtaining the current coordinate of the light spot; comparing the current coordinate of the light spot with the light spot coordinate in the weighted light spot coordinate matrix at the initial moment to obtain the displacement vector of the light spot; calculating the relative deformation tensor based on the displacement vector of the light spot; S3, performing eigenvalue decomposition on the relative deformation tensor to obtain an eigenvalue vector; Based on the eigenvalue vector, the stability of the structure at different monitoring times is quantified to obtain the stability response value; S4. By analyzing the stability response values ​​at historical moments, the dynamic deformation trend value is calculated; Based on the dynamic deformation trend value, determine whether the substation civil engineering structure has abnormal deformation.

2. The method for intelligently monitoring deformation of a substation civil engineering structure according to claim 1, characterized in that: The S1 specifically includes: Based on the light spot coordinate matrix at the initial moment, combined with the distance relationship between the light spot and the neighboring light spots, the weighted weights are calculated; based on the weighted weights, a weighted matrix based on the distribution of light spots in the neighborhood is constructed.

3. The method for intelligently monitoring deformation of a substation civil engineering structure according to claim 2, characterized in that: The S1 specifically includes: The light spot coordinate matrix at the initial moment is weighted point by point by using a weighting matrix based on the light spot distribution in the neighborhood to generate a weighted light spot coordinate matrix at the initial moment.

4. The method for intelligently monitoring deformation of a substation civil engineering structure according to claim 1, characterized in that: The S2 specifically includes: The relative deformation tensor is obtained by calculating the dot product and outer product of the displacement vector of the light spot and introducing a nonlinear adjustment term.

5. The method for intelligently monitoring deformation of a substation civil engineering structure according to claim 4, characterized in that: The S2 specifically includes: The calculation formula of the relative deformation tensor is: ， in, Indicates at time The relative deformation tensor of ; and Respectively represent the number of rows and columns of the light spot coordinate matrix; Indicates converting the dot product value into a diagonal matrix; is the displacement vector of the light point, indicating that at time No. Line The displacement of the light spot of the column; Indicates at time The dot product of the light point's displacement vector; Indicates at time The outer product of the displacement vector of the light spot; represents a nonlinear adjustment term; Indicates transpose.

6. The method for intelligently monitoring deformation of a substation civil engineering structure according to claim 1, characterized in that: The S3 specifically includes: After normalizing the eigenvalues ​​in the eigenvalue vector, the modulus of the eigenvalue is calculated, and an exponential term is introduced to quantify the stability of the structure at different monitoring times, and the stability response value is calculated.

7. The method for intelligently monitoring deformation of a substation civil engineering structure according to claim 1, characterized in that: The S4 specifically includes: By analyzing the stability response values ​​at historical moments, a dynamic trend function is constructed to obtain the dynamic deformation trend value.

8. The method for intelligently monitoring deformation of a substation civil engineering structure according to claim 7, characterized in that: The S4 specifically includes: In the dynamic trend function, periodic adjustment terms and time decay terms are introduced, and the specific formula is: ， in, Indicates at time Dynamic deformation trend value; Indicates at time The stability response value of represents a historical time variable; is the initial moment; Represents a periodic adjustment item; represents the time decay term; represents a natural constant; represents the time decay parameter; The dynamic deformation trend value is compared with the 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.

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