CN115436037A - Transmission tower health state discrimination method and device based on SSI parameter identification - Google Patents

Transmission tower health state discrimination method and device based on SSI parameter identification Download PDF

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Publication number
CN115436037A
CN115436037A CN202211021636.5A CN202211021636A CN115436037A CN 115436037 A CN115436037 A CN 115436037A CN 202211021636 A CN202211021636 A CN 202211021636A CN 115436037 A CN115436037 A CN 115436037A
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tower
modal
transmission
ssi
frequency
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董新胜
赵蓂冠
李孟
杨洋
李金良
马树阳
王红霞
杨风利
张宏杰
朱咏明
马永录
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Xinjiang Electric Power Co Ltd
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Xinjiang Electric Power Co Ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
    • G01B21/32—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring the deformation in a solid
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C5/00—Measuring height; Measuring distances transverse to line of sight; Levelling between separated points; Surveyors' levels
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C9/00—Measuring inclination, e.g. by clinometers, by levels
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/04—Analysing solids
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
    • G01N29/46—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by spectral analysis, e.g. Fourier analysis or wavelet analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/15—Correlation function computation including computation of convolution operations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00—Indexing codes associated with group G01N29/00
    • G01N2291/02—Indexing codes associated with the analysed material
    • G01N2291/023—Solids
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00—Indexing codes associated with group G01N29/00
    • G01N2291/02—Indexing codes associated with the analysed material
    • G01N2291/028—Material parameters
    • G01N2291/0289—Internal structure, e.g. defects, grain size, texture

Abstract

The invention relates to the technical field of transmission tower state monitoring, in particular to a transmission tower health state discrimination method and device based on SSI parameter identification, which comprises the steps of obtaining tower vibration response data; setting model orders, inputting tower vibration response data into a tower modal parameter identification model, and obtaining modal parameters of each model order; drawing a steady state diagram by using the modal parameters of each model order, and obtaining the overall modal frequency of the tower according to the steady state diagram; and finishing the judgment of the current health state of the transmission tower according to the change value of the overall modal frequency of the tower. According to the method, on the basis of obtaining tower vibration response data, modal parameters are identified by using an SSI (structural information support) modal identification algorithm, the overall modal frequency of the tower is obtained by using a steady state diagram for analysis, the health state of the transmission tower is judged according to the change condition of the overall modal frequency of the tower, the bad state of the transmission tower is found in time, and the normal operation of a transmission line is ensured.

Description

Transmission tower health state discrimination method and device based on SSI parameter identification
Technical Field
The invention relates to the technical field of transmission tower state monitoring, in particular to a transmission tower health state discrimination method and device based on SSI parameter identification.
Background
The transmission tower is used as an important link in the transmission line, and the structure health of the transmission tower maintains the safe operation of the transmission line. The transmission tower is usually exposed in the field, is mostly located in geographical environments such as goafs, mountainous areas, windy areas and the like, has a large coverage area and complex environmental conditions, is easily influenced by various natural and artificial disasters such as strong wind, freezing, lightning stroke, flood, external damage and the like, often has structural unhealthy states such as inclination, settlement, sideslip, rod member deformation and the like, is usually stressed in a cycle process of loading, unloading, reloading and reloading, and usually causes fatigue damage to the transmission tower, and the damage belongs to micro-damage in the early stage and is not easy to perceive, and rod member deformation and local cracking are easily caused by long-term accumulation. Therefore, how to efficiently, timely and accurately evaluate the structural state of the transmission tower body is an urgent need of relevant management and operation departments.
At present, the health state identification of the transmission tower is mainly to evaluate the state of the transmission tower which is patrolled and inspected based on a visual mode in the conventional patrolling processes such as human patrolling, machine patrolling and the like, but under the natural disasters such as flood, snow disaster and the like, the ground patrolling means is greatly restricted, and high requirements are put forward for operation and maintenance personnel, so that the traditional method for identifying the health state of the transmission tower has the problems of easily limited conditions, small monitoring range and low accuracy.
Disclosure of Invention
The invention provides a transmission tower health state discrimination method and device based on SSI parameter identification, overcomes the defects of the prior art, and can effectively solve the problems of small monitoring range and low accuracy in the existing method for identifying the transmission tower health state by manual inspection and visual inspection.
One of the technical schemes of the invention is realized by the following measures: a method for judging the health state of a transmission tower based on SSI parameter identification comprises the following steps:
acquiring tower vibration response data;
setting model orders, inputting tower vibration response data into a tower modal parameter identification model to obtain modal parameters of each model order, wherein the modal parameters comprise modal frequency and damping ratio, and the tower modal parameter identification model is a modal parameter identification model constructed by an SSI modal identification algorithm;
drawing a steady state diagram by using the modal parameters of each model order, and obtaining the overall modal frequency of the tower according to the steady state diagram;
and finishing the judgment of the current health state of the transmission tower according to the change value of the overall modal frequency of the tower.
The following are further optimization or/and improvement on the technical scheme of the invention:
the above-mentioned steady-state diagram is drawn by using the modal parameters of each model order, and includes:
obtaining modal frequency tolerance and damping ratio tolerance between adjacent model orders;
judging whether the modal frequency tolerance and the damping ratio tolerance meet all stable conditions, wherein the stable conditions comprise: the absolute value of the modal frequency tolerance is smaller than a frequency tolerance threshold, and the absolute value of the damping ratio tolerance is smaller than a damping ratio tolerance threshold;
responding to the response, determining the two-dimensional coordinate graph as a stable point, and drawing the stable point in the two-dimensional coordinate graph, wherein the abscissa of the two-dimensional coordinate graph is a frequency value, and the ordinate is a model order;
responding to the judgment result, determining the non-stable point, and not drawing the non-stable point in the two-dimensional coordinate graph;
and circulating the processes until all the model orders are traversed, and finishing the drawing of the steady-state diagram.
And the modal frequency corresponding to the extreme point where the steady state diagram tends to be stable is the overall modal frequency of the tower.
The above-mentioned change value according to the whole modal frequency of shaft tower accomplishes the current health status of transmission tower and distinguishes, includes:
judging whether the overall modal frequency of the tower changes compared with the overall modal frequency of the tower detected last time;
and responding, comparing the change value of the overall modal frequency of the tower with a knowledge base of the bad working conditions to judge the health state of the transmission tower, wherein the knowledge base of the bad working conditions comprises the health states of various transmission towers and the corresponding change threshold intervals, and the health state of the transmission tower comprises normal and regular detection and timely inspection of the bad working conditions.
The above inputting the tower vibration response data into the tower modal parameter identification model to obtain the modal parameters includes:
constructing a tower vibration state space model by using tower vibration response data to obtain a covariance matrix of tower structure response;
constructing a Hankel matrix of a tower structure vibration system by using tower vibration response data;
constructing a Toeplitz matrix by using a covariance matrix of tower structure response and a Hankel matrix of a tower structure vibration system;
performing singular value decomposition on the Toeplitz matrix to obtain a tower structure system matrix H;
and (4) carrying out characteristic value decomposition on the tower structure system matrix H, and obtaining modal parameters by utilizing the relation between the tower characteristic value and the modal parameters, wherein the modal parameters comprise modal frequency and damping ratio.
The second technical scheme of the invention is realized by the following measures: a transmission tower health state discrimination device based on SSI parameter identification comprises:
the data acquisition unit is used for acquiring tower vibration response data;
the identification unit is used for setting model orders, inputting tower vibration response data into a tower modal parameter identification model to obtain modal parameters of each model order, wherein the modal parameters comprise modal frequency and damping ratio, and the tower modal parameter identification model is a modal parameter identification model constructed by an SSI modal identification algorithm;
the drawing unit is used for drawing a steady-state diagram by using the modal parameters of each model order and obtaining the overall modal frequency of the tower according to the steady-state diagram;
and the state judging unit is used for finishing the judgment of the current health state of the transmission tower according to the change value of the overall modal frequency of the tower.
The following is further optimization or/and improvement of the technical scheme of the invention:
the data acquisition unit comprises a tower wind vibration acceleration acquisition module, the tower wind vibration acceleration acquisition module comprises a wind speed and wind direction detection module, a transmission module and three acceleration sensors, and the three acceleration sensors are respectively arranged in the direct line direction, the perpendicular to line direction and the transverse direction of the transmission tower.
The third technical scheme of the invention is realized by the following measures: a storage medium having stored thereon a computer program readable by a computer, the computer program being arranged to execute instructions for performing the steps of a method for transmission tower health status discrimination based on SSI parameter identification when run.
The fourth technical scheme of the invention is realized by the following measures: an electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured for execution by the processor, the programs including instructions for performing the steps in a method for transmission tower health status discrimination identified based on SSI parameters.
According to the method, a modal parameter identification model constructed by an SSI modal identification algorithm is utilized, modal parameters are identified by the SSI modal identification algorithm on the basis of obtaining tower vibration response data, the overall modal frequency of the tower is obtained by analyzing a steady state diagram, and the health state of the transmission tower is judged according to the change condition of the overall modal frequency of the tower, so that the adverse states of inclination, settlement, sideslip, rod deformation, local cracking and the like of the transmission tower are found in time, the normal operation of the transmission line is ensured, the micro-damage of the transmission tower can be found in advance, the continuous attention is kept, the service life of the transmission tower is further prolonged, and the normal operation of the transmission line is ensured.
Drawings
FIG. 1 is a schematic flow diagram of the process of the present invention.
FIG. 2 is a schematic flow chart of a method for plotting a steady state diagram according to the present invention.
Fig. 3 is a schematic flow chart of a method for judging the current health state of a transmission tower in the invention.
FIG. 4 is a schematic diagram of the structure of the device of the present invention.
Detailed Description
The present invention is not limited by the following examples, and specific embodiments may be determined according to the technical solutions and practical situations of the present invention.
Before explaining the embodiments of the present invention in detail, an application scenario of the embodiments of the present invention will be described. The structure of the transmission tower is usually exposed in the field, the service environment is complex and severe, and the maximum threat of the safety of the transmission tower is determined by the structural characteristics of the transmission tower from dynamic load; the transmission tower is in the geographical environment such as goaf, mountain area, strong wind district, often appears slope, subsides, sideslip, structure unhealthy state such as member deformation, and transmission tower atress is the cyclic process of loading, uninstallation, reload, uninstallation usually, and this cyclic process often can cause transmission tower fatigue damage, and this damage belongs to micro-damage early, and is difficult to perceive, and long-term accumulation easily takes place member deformation, local fracture. In such a scenario, the method and the device for judging the health state of the transmission tower based on the SSI parameter identification provided by the embodiment of the invention can be used for identifying the modal parameters of the transmission tower by using an SSI modal identification algorithm, obtaining the overall modal frequency of the transmission tower through a steady state diagram, judging the health state of the structure of the transmission tower according to the change condition of the overall modal frequency of the transmission tower, and realizing the evaluation of the health state of the transmission tower.
The invention is further described with reference to the following examples and figures:
example 1: as shown in fig. 1, an embodiment of the present invention discloses a method for determining a health state of a transmission tower based on SSI parameter identification, including:
step S101, obtaining tower vibration response data;
step S102, setting model orders, inputting tower vibration response data into a tower modal parameter identification model to obtain modal parameters of each model order, wherein the modal parameters comprise modal frequency and damping ratio, and the tower modal parameter identification model is a modal parameter identification model constructed by an SSI modal identification algorithm;
step S103, drawing a steady-state diagram by using the modal parameters of each model order, and obtaining the overall modal frequency of the tower according to the steady-state diagram;
and step S104, finishing the judgment of the current health state of the transmission tower according to the change value of the overall modal frequency of the tower.
In the embodiment of the invention, a modal parameter identification model constructed by an SSI (structural similarity) modal identification algorithm is utilized, further, modal parameters are identified by the SSI modal identification algorithm on the basis of obtaining tower vibration response data, the overall modal frequency of the tower is obtained by analyzing a steady state diagram, and the health state judgment of the transmission tower is realized according to the change condition of the overall modal frequency of the tower. Therefore, adverse states such as inclination, settlement, sideslip, rod piece deformation and local cracking of the transmission tower can be found in time, maintenance is carried out in time, normal operation of the transmission line is guaranteed, micro-damage of the transmission tower can be found in advance, continuous attention can be kept, the service life of the transmission tower is further prolonged, and normal operation of the transmission line is guaranteed.
Example 2: as shown in fig. 2, the embodiment of the present invention discloses a method for determining a health state of a transmission tower based on SSI parameter identification, wherein the method for drawing a steady-state diagram by using modal parameters of each model order and obtaining an overall modal frequency of the tower according to the steady-state diagram further comprises:
step 201, obtaining a modal frequency tolerance and a damping ratio tolerance between adjacent model orders;
the modal parameters of each model order identified by the tower modal parameter identification model comprise modal frequency omega i And damping ratio xi i Therefore, if the model order i and the model order i +1 are chosen to be adjacent to each other, the modal frequency tolerance is ω i+1 -ω i Damping ratio tolerance is xi i+1 -ξ i 。
Step 202, judging whether the modal frequency tolerance and the damping ratio tolerance meet all stable conditions, wherein the stable conditions comprise: the absolute value of the modal frequency tolerance is smaller than a frequency tolerance threshold, and the absolute value of the damping ratio tolerance is smaller than a damping ratio tolerance threshold;
if an adjacent model order to the i-th model order and the i + 1-th model order is selected, the stable conditions here include:
|ω i+1 -ω i < frequency tolerance threshold
|ξ i+1 -ξ i < damping ratio tolerance threshold
The frequency tolerance threshold and the damping ratio tolerance threshold are set according to actual conditions.
Step 203, responding to the above, the stable point is obtained, and the stable point is drawn in a two-dimensional coordinate graph, wherein the abscissa of the two-dimensional coordinate graph is the frequency value, and the ordinate is the model order.
And step 204, responding to the judgment result of no, determining the non-stable point, and not drawing the non-stable point in the two-dimensional coordinate graph.
Step 205, the above process is circulated until all model orders are traversed, and steady-state graph drawing is completed;
the maximum value of the model order in this embodiment can be set to 50 according to the characteristics of the steady-state diagram and the actual requirements.
And step 206, the modal frequency corresponding to the extreme value point of the steady state diagram tending to be stable is the overall modal frequency of the tower.
The real modal frequency of the transmission tower structure tends to be stable along with the increasing of the model order, and the distribution method characteristic of one vertical column is presented, otherwise, the transmission tower structure is considered as a false mode, so that the whole modal frequency of the tower can be obtained by using a steady diagram.
Example 3: as shown in fig. 3, the embodiment of the invention discloses a method for determining the health state of a transmission tower based on SSI parameter identification, wherein the step of determining the current health state of the transmission tower according to the variation value of the overall modal frequency of the tower further comprises the following steps:
step S301, judging whether the overall modal frequency of the tower changes compared with the overall modal frequency of the tower detected last time;
step S302, responding to the situation, comparing the change value of the overall modal frequency of the tower with a knowledge base of the adverse working conditions to judge the health state of the transmission tower, wherein the knowledge base of the adverse working conditions comprises the health states of various transmission towers and the change threshold intervals corresponding to the health states, and the health state of the transmission tower comprises normal and regular detection and timely inspection of the adverse working conditions.
For example, the health states of various transmission towers and the corresponding change threshold intervals in this embodiment may be as follows:
if the working condition is less than 3%, the working condition is normal, [3%,7% ] is that the inspection attention needs to be carried out, the regular detection is carried out, and if the working condition is more than 7%, the tower structure is obviously changed, and the poor working conditions such as whether bolts are loosened, whether foundation displacement and sinking occur are inspected.
Example 4: the embodiment of the invention discloses a transmission tower health state discrimination method based on SSI parameter identification, wherein tower vibration response data is input into a tower modal parameter identification model to obtain modal parameters, and the method further comprises the following steps:
step 401, constructing a tower vibration state space model by using tower vibration response data to obtain a covariance matrix of tower structure response;
1. carrying out short-time Fourier transform on the tower vibration response data, and specifically comprising the following steps:
the acquired nonlinear signals are regarded as the superposition result of a plurality of linear signals, a window function g (t + tau) with a fixed scale tau is set, then the window function g (t + tau) is translated along a time axis, the signals are analyzed section by section, each section of signals can be regarded as linear, and Fourier transform is carried out on the signals to obtain the frequency spectrum, wherein the frequency spectrum is expressed as the following formula:
Figure BDA0003814405750000051
where x (t) is the signal to be analyzed, g (t + τ) is a window function with the scale τ, e -j2πωft Is a local sinusoidal component whose amplitude at time τ can be given by STFT.
2. The transmission tower is a complex truss structure, has N degrees of freedom, and has a linear time-invariant discrete state space equation as follows:
m k+1 ＝Hm k +Is k
n k+1 ＝Jn k +Ks k
in the formula, m k+1 Is the state vector, s, of the tower structure at time k +1 k Is the input vector, n, of the tower system at time k k+1 Is an iron towerThe output vector at system time k + 1.
Following the data analysis process of the stochastic subspace method, the excitation information is regarded as white noise, and the expressed discrete state space equation can be written as:
m k+1 ＝Hm k
n k+1 ＝Jn k
for a linear time-invariant system, the excitation and state responses are taken as a smooth random process with an average value of zero, i.e.:
Figure BDA0003814405750000061
E[m k ]＝0
for any time interval i, the covariance matrix of the actually measured tower structure response is as follows:
Figure BDA0003814405750000062
the covariance matrix of the tower structure state and the monitored structure response is set as
Figure BDA0003814405750000063
From the above, a covariance matrix Ri (i =1,2, …) of actually measured tower structure response is obtained as
R j ＝JH i-1 W
Step 402, constructing a Hankel matrix of a tower structure vibration system by using tower vibration response data;
N n ＝[y 1,n ,y 2,n ,L,y M,n ] T is tower structure vibration response data, M is the number of devices (acceleration sensors) for acquiring the tower structure vibration response data, n is the time for acquiring the tower structure vibration response data,
Figure BDA0003814405750000064
in the formula, N 0|2i The corner marks 0 and 2i are the time of the data acquisition starting line and ending line, N P 、N f The data collected before and the data collected in the future by taking the moment i as a dividing point are respectively.
Step 403, constructing a Toeplitz matrix by using the covariance matrix of the tower structure response and the Hankel matrix of the tower structure vibration system;
constructing a ToePLitz matrix shown as follows by using a covariance matrix of tower structure response and a Hankel matrix of a tower structure vibration system:
Figure BDA0003814405750000065
in the formula, T 1|j ∈R Mj×Mj Is a Toeplitz matrix with equal diagonal elements.
Covariance matrix R of tower structure response i Substituting into the above formula to obtain
Figure BDA0003814405750000071
In the formula, A i And Γ i The observability matrix and the inversion controllability matrix of the tower structure respectively reflect the observability and the controllability of the tower structure vibration system. When A is i When the order of the tower vibration system is equal to the order of the discrete state equation, all the order modal information of the tower can be analyzed from the acceleration response of the tower structure, namely the tower vibration system is considerable. When f is equal to i The order of the transmission tower is equal to the order of the state equation, which indicates that all orders of the transmission tower can be excited by pulse excitation, and indicates that the tower vibration system is controllable.
The observation matrix J is the observability matrix A i To further solve the system matrix H, T is applied 1|i Becomes T 2|i+1 ，
Figure BDA0003814405750000072
T 2|i+1 ＝A i HΓ i
Obtaining a tower structure system matrix H of
Figure BDA0003814405750000073
In the formula (I), the compound is shown in the specification,
Figure BDA0003814405750000074
representing the pseudo-inverse of the matrix.
Step 404, performing singular value decomposition on the Toeplitz matrix to obtain a tower structure system matrix H;
if the tower vibration system is observable and controllable, performing singular value decomposition on the Toeplitz matrix to obtain 2N non-zero singular values;
Figure BDA0003814405750000075
in the formula, U and V are unitary matrix, U T U＝UU T ＝I，V T V＝VV T According to the fact that whether the singular value is zero or not, dividing Lambda into two sub diagonal matrixes, lambda 1 Is a diagonal matrix composed of 2N singular values arranged in descending order and not zero, Λ 2 Is =0, namely
Figure BDA0003814405750000076
Σ 1 ＝diag[λ i ],λ 1 ≥λ 2 ≥L≥λ 2n ,Σ 2 ＝0
Therefore, the order of the tower vibration system is the same as the number of singular values that are not zero, and then:
T 1|i ＝U 1 Σ 1 V 1 T
the observability matrix and the inverted controllability matrix are then represented as:
A 1 ＝U 1 Σ 1 12 T,Γ i ＝T -1 Σ 1 12 V 1 T
in the formula, T is an arbitrary reversible matrix, and is understood as a system matrix H and an observation matrix J of the tower-tower structure are subjected to similarity transformation, and the observability matrix and the inversion controllability matrix are obtained by solving, so that the observation matrix J and the system matrix H can be obtained.
And 405, performing characteristic value decomposition on the pole tower structure system matrix H, and obtaining modal parameters by using the relation between the pole tower characteristic value and the modal parameters, wherein the modal parameters comprise modal frequency and damping ratio.
The system matrix H obtained according to the tower vibration response data is a system matrix of a discrete system, and the solution characteristic value is mu k And the relation between the continuous system characteristic value lambda and the continuous system characteristic value lambda is as follows:
Figure BDA0003814405750000081
the relation among the characteristic value of the tower, the modal frequency and the damping ratio is as follows:
Figure BDA0003814405750000082
then the characteristic frequency points of the tower are represented as:
Figure BDA0003814405750000083
example 5: as shown in fig. 4, an embodiment of the present invention discloses a device for determining a health state of a transmission tower based on SSI parameter identification, including:
the data acquisition unit is used for acquiring tower vibration response data;
the data acquisition unit comprises a tower wind vibration acceleration acquisition module, the tower wind vibration acceleration acquisition module comprises a wind speed and wind direction detection module, a transmission module and three acceleration sensors, and the three acceleration sensors are respectively arranged in the direct line direction, the direction perpendicular to the line direction and the transverse direction of the transmission tower;
the identification unit is used for setting model orders, inputting tower vibration response data into a tower modal parameter identification model to obtain modal parameters of each model order, wherein the modal parameters comprise modal frequency and damping ratio, and the tower modal parameter identification model is a modal parameter identification model constructed by an SSI modal identification algorithm;
the drawing unit is used for drawing a steady-state diagram by using the modal parameters of each model order and obtaining the overall modal frequency of the tower according to the steady-state diagram;
and the state judging unit is used for finishing the judgment of the current health state of the transmission tower according to the change value of the overall modal frequency of the tower.
Example 6: the embodiment of the invention discloses a storage medium, wherein a computer program capable of being read by a computer is stored on the storage medium, and the computer program is set as an instruction for executing steps in a transmission tower health state discrimination method based on SSI parameter identification when the computer program runs.
Such storage media may include, but are not limited to: u disk, read-only memory, removable hard disk, magnetic or optical disk, etc. various media capable of storing computer programs.
Example 7: the embodiment of the invention discloses electronic equipment, which comprises a processor, a memory, a communication interface and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the programs comprise instructions for executing steps in a transmission tower health state judgment method based on SSI parameter identification.
The processor may be a central processing unit CPU, general purpose processor, digital signal processor DSP, ASIC, FPGA or other programmable logic device, transistor logic device, hardware component or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. Or a combination that performs a computing function, e.g., comprising one or more microprocessors, DSPs, and microprocessors, etc.
The communication module may be a transceiver, an RF circuit or a communication interface, etc. The storage module may be a memory, and may include but is not limited to: u disk, read-only memory, removable hard disk, magnetic or optical disk, etc. various media capable of storing computer programs.
Embodiments of the present application also provide a computer storage medium storing a computer program for electronic data exchange, the computer program causing a computer to perform part or all of the steps of any one of the methods as described in the above method embodiments, the computer including an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.
The above technical features constitute the best embodiment of the present invention, which has strong adaptability and best implementation effect, and unnecessary technical features can be increased or decreased according to actual needs to meet the requirements of different situations.

Claims (10)

1. A method for judging the health state of a transmission tower based on SSI parameter identification is characterized by comprising the following steps:
acquiring tower vibration response data;
setting model orders, inputting tower vibration response data into a tower modal parameter identification model to obtain modal parameters of each model order, wherein the modal parameters comprise modal frequency and damping ratio, and the tower modal parameter identification model is a modal parameter identification model constructed by an SSI modal identification algorithm;
drawing a steady state diagram by using the modal parameters of each model order, and obtaining the overall modal frequency of the tower according to the steady state diagram;
and finishing the judgment of the current health state of the transmission tower according to the change value of the overall modal frequency of the tower.
2. The method as claimed in claim 1, wherein the method for determining the health status of the transmission tower based on SSI parameter identification is configured to draw a steady state diagram by using modal parameters of each model order, and includes:
obtaining modal frequency tolerance and damping ratio tolerance between adjacent model orders;
judging whether the modal frequency tolerance and the damping ratio tolerance meet all stable conditions, wherein the stable conditions comprise: the absolute value of the modal frequency tolerance is smaller than a frequency tolerance threshold, and the absolute value of the damping ratio tolerance is smaller than a damping ratio tolerance threshold;
responding to the response, determining the two-dimensional coordinate graph as a stable point, and drawing the stable point in the two-dimensional coordinate graph, wherein the abscissa of the two-dimensional coordinate graph is a frequency value, and the ordinate is a model order;
responding to the judgment result, determining the non-stable point, and not drawing the non-stable point in the two-dimensional coordinate graph;
and circulating the processes until all the model orders are traversed, and finishing the drawing of the steady-state diagram.
3. The method for identifying the health status of a transmission tower based on SSI parameter identification as claimed in claim 1 or 2, wherein the modal frequency corresponding to the extreme point at which the steady state diagram tends to be stable is the overall modal frequency of the tower.
4. The method for distinguishing the health state of a transmission tower according to claim 1 or 2 based on SSI parameter identification, wherein the distinguishing the current health state of a transmission tower according to a variation value of an overall modal frequency of the tower comprises:
judging whether the overall modal frequency of the tower changes compared with the overall modal frequency of the tower detected last time;
and responding, comparing the change value of the overall modal frequency of the tower with a knowledge base of the bad working conditions to judge the health state of the transmission tower, wherein the knowledge base of the bad working conditions comprises the health states of various transmission towers and the corresponding change threshold intervals, and the health state of the transmission tower comprises normal and regular detection and timely inspection of the bad working conditions.
5. The method for identifying the health status of a transmission tower based on SSI parameter as claimed in claim 3, wherein the identifying the current health status of a transmission tower according to the variation value of the overall modal frequency of the tower comprises:
judging whether the overall modal frequency of the tower changes compared with the overall modal frequency of the tower detected last time;
and responding, comparing the change value of the overall modal frequency of the tower with a knowledge base of the bad working conditions to judge the health state of the transmission tower, wherein the knowledge base of the bad working conditions comprises the health states of various transmission towers and the corresponding change threshold intervals, and the health state of the transmission tower comprises normal and regular detection and timely inspection of the bad working conditions.
6. The method for identifying the health status of a transmission tower based on SSI parameter identification as claimed in any one of claims 1 to 5, wherein the step of inputting tower vibration response data into a tower modal parameter identification model to obtain modal parameters comprises:
constructing a tower vibration state space model by using tower vibration response data to obtain a covariance matrix of tower structure response;
constructing a Hankel matrix of a tower structure vibration system by using tower vibration response data;
constructing a Toeplitz matrix by using a covariance matrix of tower structure response and a Hankel matrix of a tower structure vibration system;
performing singular value decomposition on the Toeplitz matrix to obtain a tower structure system matrix H;
and (4) carrying out characteristic value decomposition on the tower structure system matrix H, and obtaining modal parameters by utilizing the relation between the tower characteristic value and the modal parameters, wherein the modal parameters comprise modal frequency and damping ratio.
7. A transmission tower health state discrimination device based on SSI parameter recognition is characterized in that the transmission tower health state discrimination device based on SSI parameter recognition uses the transmission tower health state discrimination method based on SSI parameter recognition as claimed in any one of claims 1 to 6, and comprises the following steps:
the data acquisition unit is used for acquiring tower vibration response data;
the identification unit is used for setting model orders, inputting tower vibration response data into a tower modal parameter identification model to obtain modal parameters of each model order, wherein the modal parameters comprise modal frequency and damping ratio, and the tower modal parameter identification model is a modal parameter identification model constructed by an SSI modal identification algorithm;
the drawing unit is used for drawing a steady-state diagram by using the modal parameters of each model order and obtaining the overall modal frequency of the tower according to the steady-state diagram;
and the state judging unit is used for finishing the judgment of the current health state of the transmission tower according to the change value of the overall modal frequency of the tower.
8. The device for determining the health status of a transmission tower based on SSI parameter identification as claimed in claim 7, wherein the data acquisition unit comprises a tower wind vibration acceleration acquisition module, the tower wind vibration acceleration acquisition module comprises a wind speed and wind direction detection module, a transmission module and three acceleration sensors, and the three acceleration sensors are respectively disposed in the down-line direction, the vertical direction and the transverse direction of the transmission tower.
9. A storage medium having stored thereon a computer program readable by a computer, the computer program being configured to execute instructions for performing the steps of the method for identifying the health status of a tower according to claims 1 to 6.
10. An electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps of the method for identifying the health status of a power tower based on SSI parameters as claimed in claims 1 to 6.
CN202211021636.5A 2022-08-24 2022-08-24 Transmission tower health state discrimination method and device based on SSI parameter identification Pending CN115436037A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117405331A (en) * 2023-12-12 2024-01-16 天津风霖物联网科技有限公司 Deflection performance detection method for bridge truss

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117405331A (en) * 2023-12-12 2024-01-16 天津风霖物联网科技有限公司 Deflection performance detection method for bridge truss
CN117405331B (en) * 2023-12-12 2024-02-09 天津风霖物联网科技有限公司 Deflection performance detection method for bridge truss

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