Overhead line fault early warning method and device based on residual strength model, terminal equipment and storage medium
By constructing a residual strength model based on stress-strength interference theory, the problem of inaccurate reliability assessment of overhead lines was solved, achieving efficient and accurate fault early warning and improving line safety.
Patent Information
- Application Number
- CN202511650186.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-12
- Publication Date
- 2026-02-06
AI Technical Summary
In existing technologies, the reliability assessment of overhead lines relies on empirical formulas, which ignore the continuous degradation of material strength, resulting in untimely fault warnings.
A residual strength model is constructed based on stress-strength interference theory. The strength attenuation coefficient is calculated by obtaining the vibration number, the initial residual strength is discretized, the residual strength prediction value is generated, the safety and reliability are evaluated, and a fault early warning signal is generated.
It achieves efficient and accurate fault early warning for overhead lines, overcomes the problem of inaccurate reliability assessment in existing technologies, and improves the timeliness of fault early warning.
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Figure CN121482992A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of electric power, and particularly relates to an overhead line fault early warning method and device based on a residual strength model, a terminal device and a storage medium. BACKGROUND
[0002] Overhead transmission lines are exposed to the natural environment for a long time, and bear alternating stresses such as wind load, icing and aeolian vibration. Among them, the fatigue damage of the conductor caused by aeolian vibration has the characteristics of strong concealment and significant cumulative effect, and is one of the main causes of broken strand and broken line accidents. Fatigue is a mechanical behavior that damage of the overhead line gradually accumulates under the action of aeolian vibration and eventually leads to failure of the overhead line, and is one of the main failure modes of the overhead line. Serious accidents caused by fatigue damage also occur from time to time.
[0003] At present, the reliability evaluation of the overhead line structure mainly relies on the empirical formula, that is, the fatigue life is estimated by statistically analyzing the load history. However, the empirical formula usually assumes that the material strength is constant until failure, and ignores the continuous degradation of the residual strength with fatigue damage in actual service, resulting in conservative reliability evaluation, and ultimately leading to sudden failure. Therefore, the prior art has the problem that the reliability evaluation is not accurate, resulting in that the overhead line fault early warning is not timely. SUMMARY
[0004] The present application provides an overhead line fault early warning method and device based on a residual strength model, a terminal device and a storage medium, which can solve the problem that the reliability evaluation is not accurate in the prior art, resulting in that the overhead line fault early warning is not timely.
[0005] An embodiment of the present application provides an overhead line fault early warning method based on a residual strength model, comprising: obtaining the vibration frequency of the overhead line; calculating the strength attenuation coefficient of the overhead line under the current working condition according to the vibration frequency; discretizing the initial residual strength of the overhead line before service, and generating a plurality of residual strength prediction values of the overhead line under the current working condition and probability values of each residual strength prediction value according to the preset residual strength model, the discretized initial residual strength and the strength attenuation coefficient; wherein the residual strength model is a mathematical model constructed based on the stress-strength interference theory, describing the continuous attenuation of the residual strength of the overhead line with the increase of the vibration frequency; regarding a plurality of residual strength prediction values greater than a preset load amplitude as target residual strength prediction values, and accumulating the probability values corresponding to the target residual strength prediction values to generate the safety reliability of the overhead line; When the safety reliability is less than a preset reliability threshold, an overhead line fault early warning signal is generated.
[0006] Further, the construction of the residual strength model comprises: Obtaining a plurality of experimental conductors same as the overhead line; Repeating the vibration of the experimental conductors in the vertical direction, and recording the total vibration times when the experimental conductors are broken, as the vibration cycle life of the overhead line; Stretching the plurality of experimental conductors after being vibrated for different preset vibration times in turn, and recording the tensile strength when the experimental conductors are broken; According to the tensile strength and the preset vibration times, the strength degradation parameter of the experimental conductor is calculated; Based on the stress-strength interference theory, according to the vibration cycle life and the strength degradation parameter, the residual strength model is constructed.
[0007] Further, the discretization of the initial residual strength of the overhead line in the preset unserved state comprises: According to the initial residual strength, a normal distribution curve is generated; The normal distribution curve is divided into a plurality of uniform subintervals, and the midpoint value of each subinterval is taken as an initial value, and the area contained by the upper probability density curve of each subinterval is taken as an initial probability value; According to the initial value and the initial probability value, a probability mass function of the discretized initial residual strength is constructed; According to the probability mass function, the discretized initial residual strength is generated by using the general generating function method.
[0008] Further, the generation of a plurality of residual strength prediction values of the overhead line in the current working condition according to the preset residual strength model, the discretized initial residual strength and the strength attenuation coefficient comprises: According to the discretized initial residual strength, the load amplitude and the strength attenuation coefficient, a plurality of polynomials are generated by using the general generating function method; According to the residual strength model, the polynomials are combined to generate a plurality of residual strength prediction values of the overhead line in the current working condition.
[0009] An embodiment of the present application also provides an overhead line fault early warning device based on a residual strength model, comprising: A vibration times acquisition module is configured to acquire the vibration times of the overhead line; An attenuation coefficient calculation module is configured to calculate the strength attenuation coefficient of the overhead line in the current working condition according to the vibration times; a residual strength calculation module, configured to discretize an initial residual strength of the overhead line in a non-service state, and generate a plurality of residual strength prediction values of the overhead line in a current working condition and a probability value of each residual strength prediction value according to a preset residual strength model, the discretized initial residual strength, and a strength attenuation coefficient, wherein the residual strength model is a mathematical model describing continuous attenuation of the residual strength of the overhead line with an increase in vibration times, and is constructed based on a stress-strength interference theory; a reliability evaluation module, configured to take a plurality of residual strength prediction values greater than a preset load amplitude as target residual strength prediction values, and accumulate probability values corresponding to the target residual strength prediction values to generate a safety reliability of the overhead line; a line fault early warning module, configured to generate an overhead line fault early warning signal when the safety reliability is less than a preset reliability threshold.
[0010] Further, the construction of the residual strength model comprises: a plurality of experimental conductors same as the overhead line are acquired; the experimental conductors are repeatedly vibrated in a vertical direction, and a total vibration number is recorded as a vibration cycle life of the overhead line when the experimental conductors are broken; the plurality of experimental conductors are sequentially vibrated for different preset vibration numbers and then stretched, and a tensile force is recorded when the experimental conductors are broken; a strength degradation parameter of the experimental conductors is calculated according to the tensile force and the preset vibration number; a residual strength model is constructed based on a stress-strength interference theory and according to the vibration cycle life and the strength degradation parameter.
[0011] Further, the discretization of the initial residual strength of the overhead line in the non-service state comprises: a normal distribution curve is generated according to the initial residual strength; the normal distribution curve is divided into a plurality of uniform subintervals, a midpoint value of each subinterval is taken as an initial value, and an area contained by an upper probability density curve of each subinterval is taken as an initial probability value; a probability mass function of the discretized initial residual strength is constructed according to the initial value and the initial probability value; the discretized initial residual strength is generated according to the probability mass function by using a general generating function method.
[0012] Further, the generation of the plurality of residual strength prediction values of the overhead line in the current working condition according to the preset residual strength model, the discretized initial residual strength, and the strength attenuation coefficient comprises: The general generating function method is adopted, and a plurality of polynomials are generated according to the discretized initial residual strength, the load amplitude and the strength attenuation coefficient; According to the residual strength model, the polynomials are combined to generate a plurality of residual strength prediction values of the overhead line under the current working condition.
[0013] The application also provides a terminal device, comprising: One or more processors; A memory coupled to the processor, configured to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the overhead line fault early warning method based on the residual strength model as described in the above application embodiments.
[0014] The application also provides a computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the overhead line fault early warning method based on the residual strength model as described in the above application embodiments.
[0015] By implementing the application, the following beneficial effects are achieved: The application provides an overhead line fault early warning method and device based on a residual strength model, a terminal device and a storage medium. The method first constructs a residual strength model for describing the continuous attenuation of the residual strength of the overhead line with the increase of vibration times based on the stress-strength interference theory, thereby overcoming the defect of the prior art that assumes constant material strength. Then, the initial residual strength of the overhead line before service is discretized, and a plurality of residual strength prediction values of the overhead line under the current working condition are generated according to the preset residual strength model, the discretized initial residual strength and the strength attenuation coefficient, as well as the probability values of the residual strength prediction values. The plurality of residual strength prediction values greater than the preset load amplitude are taken as target residual strength prediction values, and the probability values corresponding to the target residual strength prediction values are accumulated to generate the safety reliability of the overhead line. When the safety reliability is less than a preset reliability threshold, an overhead line fault early warning signal is generated. By converting the initial residual strength into a calculable discrete form, the probability characteristics of the initial residual strength are retained, and the safety reliability of the overhead line under the current working condition can be efficiently and accurately solved, thereby overcoming the problem of inaccurate reliability evaluation in the prior art, which leads to untimely overhead line fault early warning. BRIEF DESCRIPTION OF DRAWINGS
[0016] In order to more clearly illustrate the technical solutions of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. Obviously, the drawings described below only relate to some of the embodiments of the present application, and other drawings can also be obtained by those skilled in the art without any creative effort.
[0017] Figure 1 is a flow diagram of a residual strength model-based overhead line fault warning method provided by an embodiment of the present application; Figure 2 is a structural diagram of a residual strength model-based overhead line fault warning device provided by an embodiment of the present application; Figure 3 is a structural diagram of a terminal device provided by an embodiment of the present application; Figure 4 is a structural diagram of a wire experiment device provided by an embodiment of the present application; Among them, 1 is a reinforced concrete pouring piece, 2 is a turbine screw rod tension machine, 3 is a rigid support piece, 4 is a movable connecting steel casting, 5 is a vibration table, 6 is a suspension clamp, 7 is a metal support frame, and 8 is a tension sensor. DETAILED DESCRIPTION
[0018] In order to make the purpose, technical solutions and advantages of the present application more clear, the following will combine the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative effort are within the scope of protection of the present application.
[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit the present application; the terms "include" and "have" and any variations thereof in the specification and claims of the present application and the above description of drawings are intended to cover non-exclusive inclusion.
[0020] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "a plurality of" is two or more, unless otherwise specifically limited.
[0021] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase that the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily mutually exclusive of one another. As will be apparent to those of ordinary skill in the art, embodiments described herein can be combined with one another.
[0022] In the description of the embodiments of the application, the term "and / or" is merely an association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the three cases of A alone, A and B together, and B alone. In addition, the character " / " herein generally represents an "or" relationship between the front and rear associated objects.
[0023] In the description of the embodiments of the application, the term "a plurality of" refers to two or more (including two), and similarly, "a plurality of groups" refers to two or more groups (including two groups), and "a plurality of pieces" refers to two or more pieces (including two pieces).
[0024] In the description of the embodiments of the application, unless otherwise explicitly specified and limited, the technical terms "mounting", "connection", "connection", "fixing" and the like should be understood in a broad sense, for example, it can be fixedly connected, or it can be detachably connected, or it can be integrated; it can be mechanical connection, or it can be electrical connection; it can be directly connected, or it can be indirectly connected through an intermediate medium; it can be the internal communication of two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meaning of the above terms in the embodiments of the application can be understood according to the specific circumstances.
[0025] Reference Figure 1 To solve the problems in the prior art, an embodiment of the application provides an overhead line fault early warning method based on a residual strength model, comprising: S1, obtaining the vibration frequency of the overhead line; In a preferred embodiment of the application, the vibration frequency of the overhead line is recorded by the vibration sensor installed on the overhead line.
[0026] S2, calculating the strength attenuation coefficient of the overhead line under the current working condition according to the vibration frequency; In a preferred embodiment of the application, the strength attenuation coefficient of the overhead line under the current working condition is calculated according to the following formula: C=(n / N) β ; Wherein, C is the strength attenuation coefficient, N is the vibration cycle life, n is the vibration frequency, and β is the strength degradation parameter.
[0027] S3. Discretize the preset initial residual strength of the overhead line when it is not in service, and generate several predicted values of the residual strength of the overhead line under the current operating conditions, as well as the probability value of each predicted value of the residual strength, based on the preset residual strength model, the discretized initial residual strength and the strength attenuation coefficient; wherein, the residual strength model is a mathematical model constructed based on stress-strength interference theory, which describes the continuous attenuation of the residual strength of the overhead line as the number of vibrations increases; Preferably, discretizing the preset initial residual strength of the overhead line before it enters service includes: Based on the initial residual intensity, a normal distribution curve is generated; the normal distribution curve is divided into several uniform sub-intervals, with the midpoint value of each sub-interval as the initial value and the area contained in the upper probability density curve of each sub-interval as the initial probability value; based on the initial value and the initial probability value, a discretized probability mass function of the initial residual intensity is constructed; using the general generating function method, a discretized initial residual intensity is generated based on the probability mass function.
[0028] In a preferred embodiment of the present invention, the initial residual strength of the overhead conductor follows a normal distribution with a mean of μ. R(0) The standard deviation is σ R(0) Determine its approximate interval as The mean and standard deviation of the initial residual strength of the overhead conductor can be obtained from the product's test report.
[0029] Under a normal distribution, every 1σ R(0) Dividing the approximate interval into one sub-interval effectively captures the distribution pattern. This approximate interval is then evenly divided into six sub-intervals. Furthermore, the midpoint value has low sensitivity to linear changes, reducing discretization errors; therefore, the midpoint value of each sub-interval is used as the initial value r. i The area covered by the probability density curve in each subinterval is taken as the probability p corresponding to that value. i The probability mass function of the discretized initial intensity can be obtained as follows: ; According to the general generating function method, the u-function of the initial residual intensity R(0) is: ; Where u represents the probability distribution of the discrete random variable, r i p is the midpoint value of the subinterval of the initial intensity. i For r i The corresponding probability, The initial residual intensity is the discretized value.
[0030] Preferably, the generating the several residual strength prediction values of the overhead line under the current working condition according to the preset residual strength model, the discretized initial residual strength and the strength attenuation coefficient comprises: Adopting the general generating function method, the several polynomials are generated according to the discretized initial residual strength, the load amplitude and the strength attenuation coefficient; and the residual strength model is combined with the polynomials to generate the several residual strength prediction values of the overhead line under the current working condition.
[0031] In a preferred embodiment of the present application, for the metal material, the residual strength degradation law is a "sudden death" type, and in combination with the boundary condition, the residual strength curve should have the following characteristics: ① The end point boundary condition, The initial value of the residual strength of the overhead line is the static strength, that is, the static tensile strength. ② R (N) = S p The residual strength is the fatigue load peak value when the fatigue damage occurs. That is, R (N) = S p , which refers to the residual strength of the conductor when the vibration cycle life N is reached. ③ That is, the strength degradation is very slow at the beginning of the fatigue load. ④ When the vibration number n approaches N, it has the "sudden death" feature.
[0032] The general function meeting the characteristics ① and ② can be written as: ; The characteristics ③ and ④ are determined by the characteristics of the strength attenuation function f (n / N), and f (n / N) is between 0 and 1 (0 ≤ f ≤ 1). The residual strength model can be expressed as: ; Wherein, β is the strength degradation parameter, which is obtained by fitting experimental data, and N is the number of loads to reach N times of material fracture.
[0033] In summary, the residual strength model is: ; C = (n / N) β ; R (0) is the discretized initial residual strength, S p is the load amplitude, and since S p and C in the above formula are constants, they are regarded as special random variables with determined values (the corresponding probability is 1), and the u function of the residual strength of the overhead line under the current working condition is: ; In order to solve the residual strength prediction value R (n), the discrete function f (R (0), Sp , C) is: ; The u function of the function f (R(0), S p , C) is: ; Wherein, m is the load amplitude S p The number of possible values after discretization, is a polynomial; According to the residual strength model, the u function of the residual strength prediction value R(n) is: ; According to the basic principle of the general generating function method, the final form of the above formula is still a polynomial. Without loss of generality, it is recorded as: ; In the formula, y ni and P i (i=1, 2, …, K) are the residual strength prediction value R(n) and the corresponding probability value respectively; K is the number of all residual strength prediction values.
[0034] S4, several residual strength prediction values greater than the preset load amplitude are taken as target residual strength prediction values, and the probability values corresponding to the target residual strength prediction values are accumulated to generate the safety reliability of the overhead line; In a preferred embodiment of the present application, under the action of fatigue load, the overhead line structure reliability is the probability that the current residual strength is greater than the current load amplitude, that is: ; Wherein is a safety margin function; n is the total number of load actions; R(n) is the residual strength, N / m 2 ; S p is the current load amplitude, N / m 2 . The load amplitude S p refers to the peak point in the load cycle, which represents a critical value. When the residual strength is less than S p , the conductor is broken.
[0035] Therefore, the sum of the coefficients of each term in the polynomial represented by whose index is greater than the load amplitude S p , the safety reliability can be obtained. For the convenience of description, the indicator function is defined as: ; Then can be expressed as: .
[0036] S5、in the security reliability is less than a preset reliability threshold, generating an overhead line fault early warning signal.
[0037] In a preferred embodiment of the present application, the operation and maintenance personnel can set a reliability threshold (for example, 0.95), and when the predicted security reliability is lower than the threshold, an early warning is issued, prompting "the line has entered a high-risk state, and maintenance or replacement is recommended", thereby realizing online risk assessment and predictive maintenance.
[0038] Preferably, the construction of the residual strength model comprises: Obtaining a plurality of experimental conductors identical to the overhead line; repeatedly vibrating the experimental conductors in the vertical direction, and recording the total vibration frequency when the experimental conductor breaks, as the vibration cycle life of the overhead line; sequentially vibrating the plurality of experimental conductors at different preset vibration frequencies, and recording the tensile force when the experimental conductor breaks; calculating the strength degradation parameter of the experimental conductor according to the tensile force and the preset vibration frequency; and constructing a residual strength model based on the stress-strength interference theory according to the vibration cycle life and the strength degradation parameter.
[0039] In a preferred embodiment of the present application, pre-tensioning should be performed before the formal conductor fatigue experiment to make the tension on the experimental conductor uniform. According to Figure 4 Install the conductor experimental equipment, adjust the right turbine lead screw tension machine 2 to straighten the experimental conductor, and fix the conductor through the metal support frame 7, adjust the suspension clamp 6 to make the experimental conductor height satisfy the line angle α (1.5°±0.5), and keep for 12h under the load of test tension (25%RTS). When the static tension change of the experimental conductor within 30min does not exceed 3%-4% of the pre-tensioning load, it is considered that the pre-tensioning is completed.
[0040] Further, the vibration table 5 is arranged within 1 wavelength from the outlet of the nearest suspension clamp 6, and the conductor is excited from the vertical direction during the test. The vibration frequency and amplitude of the vibration table 5 are set according to the national standard GB / T 40819-2021 "Overhead cable wind-induced vibration fatigue test method". Within the frequency range required by the test conditions, the vibration fatigue test is carried out under the condition of approaching resonance, The vibration frequency is calculated according to the following formula: ; In the formula, f is the vibration frequency, Hz; D is the diameter of the experimental conductor, mm; The amplitude is calculated according to the following formula: ; In the formula, A is the amplitude of the antinode, mm; D is the diameter of the experimental conductor, mm; Further, in order to approach the actual load of the overhead line, the tension of the experiment is set to 25% of the RTS, and the tension of the experimental conductor is controlled by adjusting the right turbine screw rod tension machine 2 and adjusting the height of the suspension clamp 6, and the tension should be kept constant during the experiment.
[0041] Further, the experimental conductor is subjected to a complete fatigue damage test to measure the cycle life N. After N times of vibration, the residual strength is degraded to S p , and the conductor directly breaks down, and the current action load amplitude S p is: ; Wherein: RTS is the breaking force of the conductor, N; A0 is the cross-sectional area of the conductor, m 2 .
[0042] Further, the experimental conductor is subjected to a fatigue test interruption test to measure the strength degradation parameter β. The fatigue test is stopped at a predetermined cycle number n, and a static tensile test is performed to measure the residual strength after interruption, and the breaking force F max (n) is recorded, so the current residual strength R(n) is: ; If the experimental conductor necks or changes in cross-section during the fatigue process, the minimum cross-sectional area at the breaking point needs to be measured, but usually the deformation of the experimental conductor in the fatigue test is small, and the area change can be ignored.
[0043] The measured data points are plotted into a curve, and the strength degradation parameter β is fitted.
[0044] Finally, the residual strength model is constructed: ; C=(n / N) β .
[0045] Referring to Figure 2 , an overhead line fault early warning device based on a residual strength model is provided, comprising: A vibration frequency acquisition module for acquiring the vibration frequency of the overhead line; An attenuation coefficient calculation module for calculating the strength attenuation coefficient of the overhead line under the current working condition according to the vibration frequency; a residual strength calculation module, configured to discretize a preset initial residual strength of the overhead line in a non-service state, and generate a plurality of residual strength prediction values of the overhead line in a current working condition and a probability value of each residual strength prediction value according to a preset residual strength model, the discretized initial residual strength, and a strength attenuation coefficient, wherein the residual strength model is a mathematical model describing continuous attenuation of the residual strength of the overhead line with an increase in vibration times, and is constructed based on a stress-strength interference theory; a reliability evaluation module, configured to take a plurality of residual strength prediction values greater than a preset load amplitude as target residual strength prediction values, and accumulate probability values corresponding to the target residual strength prediction values to generate a safety reliability of the overhead line; a line fault early warning module, configured to generate an overhead line fault early warning signal when the safety reliability is less than a preset reliability threshold.
[0046] Preferably, the construction of the residual strength model comprises: acquiring a plurality of experimental conductors same as the overhead line; repeatedly vibrating the experimental conductors in a vertical direction, and recording a total vibration number when the experimental conductors are broken, as a vibration cycle life of the overhead line; sequentially vibrating the plurality of experimental conductors at different preset vibration numbers and then stretching, and recording a tensile strength when the experimental conductors are broken; calculating a strength degradation parameter of the experimental conductors according to the tensile strength and the preset vibration number; constructing the residual strength model based on the stress-strength interference theory and according to the vibration cycle life and the strength degradation parameter.
[0047] Preferably, the discretization of the preset initial residual strength of the overhead line in the non-service state comprises: generating a normal distribution curve according to the initial residual strength; dividing the normal distribution curve into a plurality of uniform subintervals, taking a midpoint value of each subinterval as an initial value, and taking an area contained by an upper probability density curve of each subinterval as an initial probability value; constructing a probability mass function of the discretized initial residual strength according to the initial value and the initial probability value; generating the discretized initial residual strength according to the probability mass function by using a general generating function method.
[0048] Preferably, the generation of the plurality of residual strength prediction values of the overhead line in the current working condition according to the preset residual strength model, the discretized initial residual strength, and the strength attenuation coefficient comprises: The general generating function method is adopted, and a plurality of polynomials are generated according to the discretized initial residual strength, the load amplitude and the strength attenuation coefficient; According to the residual strength model, the polynomials are combined to generate a plurality of residual strength prediction values of the overhead line under the current working condition.
[0049] It can be understood that the above device item embodiments correspond to the method item embodiments of the present application, and can realize the overhead line fault early warning method based on the residual strength model provided by any one of the above method item embodiments.
[0050] It should be noted that the device embodiments described above are only schematic, and part or all of the modules can be selected to achieve the purpose of the present embodiment scheme according to actual needs. In addition, in the device embodiment provided by the present application, the connection relationship between the modules indicates that there is a communication connection between them, which can be realized as one or more communication buses or signal lines. Those skilled in the art can understand and implement without creative labor.
[0051] Referring to Figure 3 The present application also provides a terminal device, comprising: one or more processors; a memory coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors realize the overhead line fault early warning method based on the residual strength model as described above.
[0052] The processor is configured to control the overall operation of the terminal device to complete all or part of the steps of the overhead line fault early warning method based on the residual strength model. The memory is configured to store various types of data to support the operation of the terminal device, which can include, for example, instructions for any application or method operating on the terminal device, and application-related data. The memory can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.
[0053] In an exemplary embodiment, the terminal device can be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic elements, for executing the overhead line fault early warning method based on the residual strength model as described in any of the above embodiments, and achieving the technical effects consistent with the above method.
[0054] In another exemplary embodiment, a computer readable storage medium including a computer program is also provided, which, when executed by a processor, implements the steps of a method for overhead line fault early warning based on a residual strength model according to any one of the above embodiments. For example, the computer readable storage medium can be a memory including a computer program as described above, which can be executed by a processor of a terminal device to complete a method for overhead line fault early warning based on a residual strength model according to any one of the above embodiments, and achieve the technical effects consistent with the above method.
[0055] The above describes the preferred embodiments of the present application. It should be noted that, for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which are also considered within the scope of protection of the present application.
Claims
1. A fault early warning method for overhead lines based on a residual strength model, characterized in that, include: Obtain the vibration count of the overhead power line; Based on the vibration frequency, calculate the strength attenuation coefficient of the overhead line under the current operating conditions; The initial residual strength of the overhead line when it is not in service is discretized, and based on the preset residual strength model, the discretized initial residual strength and the strength attenuation coefficient, several predicted residual strength values of the overhead line under the current operating conditions and the probability values of each predicted residual strength value are generated; wherein, the residual strength model is a mathematical model constructed based on stress-strength interference theory, which describes the continuous attenuation of the residual strength of the overhead line with the increase of vibration number. Several remaining strength prediction values that are greater than the preset load amplitude are used as target remaining strength prediction values, and the probability values corresponding to the target remaining strength prediction values are accumulated to generate the safety and reliability of the overhead line. When the safety reliability is less than a preset reliability threshold, an overhead line fault warning signal is generated.
2. The overhead line fault early warning method based on the residual strength model as described in claim 1, characterized in that, The construction of the residual strength model includes: Obtain several experimental conductors identical to those used in the overhead line; The test conductor was repeatedly vibrated in the vertical direction. When the test conductor broke, the total number of vibrations was recorded as the vibration cycle life of the overhead line. Several experimental wires were subjected to vibrations of different preset numbers in sequence, and then stretched. When the experimental wires broke, the breaking force was recorded. The strength degradation parameters of the experimental conductor are calculated based on the breaking force and the preset number of vibrations. Based on the stress-strength interference theory, a residual strength model is constructed according to the vibration cycle life and the strength degradation parameters.
3. The overhead line fault early warning method based on the residual strength model as described in claim 2, characterized in that, Discretizing the preset initial residual strength of the overhead line when it is not in service includes: Based on the initial residual intensity, a normal distribution curve is generated; The normal distribution curve is divided into several uniform sub-intervals, with the midpoint value of each sub-interval as the initial value and the area contained in the upper probability density curve of each sub-interval as the initial probability value. Based on the initial value and the initial probability value, a discretized probability mass function of the initial residual intensity is constructed; The discretized initial residual intensity is generated using the general generating function method based on the probability mass function.
4. The overhead line fault early warning method based on the residual strength model as described in claim 3, characterized in that, The process of generating several predicted values of the remaining strength of the overhead line under the current operating conditions based on a preset remaining strength model, discretized initial remaining strength, and strength attenuation coefficient includes: Using a general generating function method, several polynomials are generated based on the discretized initial residual strength, the load amplitude, and the strength attenuation coefficient. Based on the residual strength model, the polynomials are combined to generate several predicted residual strength values of the overhead line under the current operating conditions.
5. A fault early warning device for overhead lines based on a residual strength model, characterized in that, include: Vibration count acquisition module, used to acquire the vibration count of overhead lines; The attenuation coefficient calculation module is used to calculate the strength attenuation coefficient of the overhead line under the current operating conditions based on the vibration number. The residual strength calculation module is used to discretize the preset initial residual strength of the overhead line when it is not in service, and generate several predicted values of the residual strength of the overhead line under the current operating conditions, as well as the probability value of each predicted value, based on the preset residual strength model, the discretized initial residual strength and the strength attenuation coefficient. The residual strength model is a mathematical model based on stress-strength interference theory that describes the continuous attenuation of the residual strength of the overhead line with the increase of vibration number. The reliability assessment module is used to take several remaining strength prediction values that are greater than the preset load amplitude as the target remaining strength prediction value, and to accumulate the probability values corresponding to the target remaining strength prediction values to generate the safety reliability of the overhead line. The line fault early warning module is used to generate an overhead line fault early warning signal when the safety reliability is less than a preset reliability threshold.
6. The overhead line fault early warning device based on the residual strength model as described in claim 5, characterized in that, The construction of the residual strength model includes: Obtain several experimental conductors identical to those used in the overhead line; The test conductor was repeatedly vibrated in the vertical direction. When the test conductor broke, the total number of vibrations was recorded as the vibration cycle life of the overhead line. Several experimental wires were subjected to vibrations of different preset numbers in sequence, and then stretched. When the experimental wires broke, the breaking force was recorded. The strength degradation parameters of the experimental conductor are calculated based on the breaking force and the preset number of vibrations. Based on the stress-strength interference theory, a residual strength model is constructed according to the vibration cycle life and the strength degradation parameters.
7. The overhead line fault early warning device based on the residual strength model as described in claim 6, characterized in that, Discretizing the preset initial residual strength of the overhead line when it is not in service includes: Based on the initial residual intensity, a normal distribution curve is generated; The normal distribution curve is divided into several uniform sub-intervals, with the midpoint value of each sub-interval as the initial value and the area contained in the upper probability density curve of each sub-interval as the initial probability value. Based on the initial value and the initial probability value, a discretized probability mass function of the initial residual intensity is constructed; The discretized initial residual intensity is generated using the general generating function method based on the probability mass function.
8. The overhead line fault early warning device based on the residual strength model as described in claim 7, characterized in that, The process of generating several predicted values of the remaining strength of the overhead line under the current operating conditions based on a preset remaining strength model, discretized initial remaining strength, and strength attenuation coefficient includes: Using a general generating function method, several polynomials are generated based on the discretized initial residual strength, the load amplitude, and the strength attenuation coefficient. Based on the residual strength model, the polynomials are combined to generate several predicted residual strength values of the overhead line under the current operating conditions.
9. A terminal device, characterized in that, include: One or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the overhead line fault early warning method based on the residual strength model as described in any one of claims 1-4.
10. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements a fault early warning method for overhead lines based on a residual strength model as described in any one of claims 1-4.