Method and system for predicting frictional wear residual size of connection fitting of power transmission line

Abstract

The invention provides a method and a system for predicting the frictional wear residual size of a transmission line connection fitting, and the method comprises the steps: calculating the maximum wind speed and swing angle of the connection fitting through the data of a meteorological database and an engineering design data database, and simulating the wear process of the transmission line fitting through a finite element method. The method comprises the steps of obtaining a change relation of the abrasion loss of the connection hardware fitting along with the abrasion frequency, determining the average swing frequency of the hardware fitting according to the current operation and maintenance result of the connection hardware fitting, and predicting the remaining size of the hardware fitting after n years on the basis of the assumption that the connection hardware fitting operates according to the same swing frequency. The method and the system can scientifically and reasonably evaluate the service life of the power transmission line connection hardware fitting, and avoid careless mistakes caused by the fact that the worn hardware fitting is found only through sense organs of people in a traditional manual inspection mode.

Description

Technical Field

[0001] The present invention belongs to the field of power transmission and transformation equipment operation and maintenance, and in particular relates to a method and system for predicting the residual size of friction and wear of transmission line connecting fittings. Background Art

[0002] In recent years, power outages caused by transmission line hardware failures have become common. The primary cause is the small remaining dimensions of these hardware due to friction and wear between them. Therefore, accurately predicting the remaining dimensions of actual transmission line hardware is crucial.

[0003] At present, the service life of transmission line hardware is mainly determined by the results of manual inspections. That is, operation and maintenance personnel use high-definition cameras to observe and shoot from multiple angles, and include severely worn hardware in the maintenance plan. This method relies solely on human senses to detect worn hardware, which is prone to omissions. Summary of the Invention

[0004] In view of this, the present invention aims to overcome the defects in the prior art and proposes a method and system for predicting the remaining size of friction and wear of transmission line connecting fittings.

[0005] To achieve the above object, the technical solution of the present invention is achieved as follows:

[0006] In a first aspect, the present invention provides a method for predicting the remaining size of transmission line connection fittings due to friction and wear, comprising the following steps:

[0007] Step S1: Collect meteorological data and engineering design information for the area through which the transmission line passes;

[0008] Step S2: determining the maximum wind speed at the transmission line connection fittings based on the meteorological data and engineering design data in step S1;

[0009] Step S3: Calculating the swing angle of the transmission line connection fittings according to the maximum wind speed in step S2;

[0010] Step S4: Calculating the wear amount of the transmission line connection fittings according to the swing angle in step S3;

[0011] Step S5: predicting the remaining size of the transmission line coupling fittings based on the wear amount in step S4.

[0012] Furthermore, the meteorological data in step S1 includes temperature, humidity, sunshine and wind speed data of the area where the transmission corridor is located or the adjacent area for the past 30 years; the engineering design data includes size and weight data of the towers, hardware, conductors, ground wires and insulator strings of the entire transmission line.

[0013] Furthermore, in step S2, the extreme value type I distribution function is used to determine the maximum wind speed at the hardware.

[0014] Furthermore, in step S3, the wind deflection angle of the suspension insulator string is first calculated. Then calculate the wind deflection angle of the transmission line Finally calculate the swing angle of the transmission line connection hardware

[0015] Furthermore, in step S4, finite element software is used to simulate the wear process of the transmission line connection hardware and calculate the wear amount of the transmission line connection hardware. The specific steps include:

[0016] (a) Establish a three-dimensional geometric model of the connection hardware according to the engineering design drawings;

[0017] (b) Define the material properties, constitutive relationships, and cumulative damage criteria for transmission line connecting fittings;

[0018] (c) Define the mutual contact conditions and constraints of the transmission line connection hardware, calculate the total load of the transmission line connection hardware to be analyzed based on the wind load P and the deadweight of the transmission line and other connection hardware, and apply it to the action end face or action point;

[0019] (d) Using three-dimensional units to divide the grid;

[0020] (e) Set the solver and analysis steps to obtain the variation pattern of the wear of the transmission line connecting hardware.

[0021] Furthermore, step S5 specifically includes: determining the average number of swings f1 of the transmission line connecting fittings based on the current operation and maintenance results of the transmission line connecting fittings; assuming that the transmission line connecting fittings will swing at the same swing frequency as the average number of swings f1 in the future, predicting the remaining size of the fittings after n years.

[0022] In a second aspect, the present invention further provides a system for predicting the remaining dimensions of friction and wear of transmission line connection fittings, comprising:

[0023] Database module: including meteorological database and engineering design data database;

[0024] Maximum wind speed calculation module: used to calculate the maximum wind speed at the transmission line connection fittings;

[0025] Hardware swing angle calculation module: used to calculate the swing angle of transmission line connecting hardware;

[0026] Connecting hardware wear simulation module: used to calculate the wear of transmission line connecting hardware;

[0027] Connection fittings remaining size prediction module: used to predict the remaining size of transmission line connection fittings.

[0028] Furthermore, the connection hardware wear simulation module establishes a three-dimensional finite element model of the connection hardware based on the engineering design data, defines the material properties, constitutive relationship and cumulative damage criterion of the hardware, defines the contact conditions, constraint conditions and loads, simulates the wear process of the connection hardware, and obtains the relationship between the wear amount of the connection hardware and the number of wear times.

[0029] In a third aspect, the present invention further provides a server comprising a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement any one of the methods provided in the first aspect.

[0030] In a fourth aspect, the present invention further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement any one of the methods provided in the first aspect.

[0031] Compared with the prior art, the present invention has the following advantages:

[0032] The method and system for predicting the remaining size of transmission line connecting fittings due to frictional wear, described in this invention, utilizes data from a meteorological database and an engineering design database to calculate the maximum wind speed and swing angle at the connecting fittings. Finite element methods are then used to simulate the wear process of transmission line fittings, determining the relationship between the wear amount and the number of wear cycles. The average number of swings of the fittings is determined based on the current operation and maintenance results of the fittings. Assuming the fittings operate at the same swing frequency, the remaining size of the fittings is predicted n years from now. This method and system can scientifically and rationally assess the service life of transmission line connecting fittings, avoiding the errors that occur with traditional manual inspections, which rely solely on human senses to detect worn fittings. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings, which constitute part of the present invention, are provided to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are provided to explain the present invention and do not constitute an undue limitation of the present invention. In the accompanying drawings:

[0034] Figure 1 Flowchart of the method for predicting the remaining dimensions of the friction wear of the connecting hardware of the transmission line;

[0035] Figure 2 It is a three-dimensional finite element model of the U-21100-U-21100 hardware in Example 1;

[0036] Figure 3This is the stress distribution of the U-21100-U-21100 hardware in Example 1. DETAILED DESCRIPTION

[0037] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0038] The following describes in detail embodiments of the present disclosure, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0039] A method for predicting the remaining size of transmission line connection fittings due to friction wear, the main steps are:

[0040] Step S1: Collect meteorological data and engineering design information for the area through which the transmission line passes;

[0041] Step S2: using the extreme value type I distribution function to determine the maximum wind speed v at the transmission line connection fittings;

[0042] Step S3: Calculate the swing angle of the transmission line connection hardware Suspension insulator string wind

[0043] declination for:

[0044]

[0045] Where P is the wind load, G is the weight of the insulator string, A is the cross-sectional area of ​​the conductor, and L is the s is the horizontal spacing of the conductor, L c is the vertical span of the conductor, g1 is the deadweight load ratio of the transmission line, and g2 is the wind load ratio.

[0046]

[0047] Where Y is the windward area of ​​the insulator string, D is the diameter of the transmission line, C is the wind load coefficient, α is the wind pressure unevenness coefficient, and θ is the angle between the wind direction and the direction of the transmission line. According to the extreme case, θ = 90° is taken.

[0048] Transmission line wind deflection for:

[0049]

[0050] Swing angle of transmission line connecting hardware for:

[0051]

[0052] Step S4: Calculate the wear of the transmission line connection hardware. Use finite element software to simulate the wear process of the transmission line connection hardware. The specific steps include:

[0053] (a) Establish a three-dimensional geometric model of the transmission line connection fittings based on the engineering design drawings;

[0054] (b) Define the material properties, constitutive relationships, and cumulative damage criteria for transmission line connecting fittings;

[0055] (c) Define the mutual contact conditions and constraints of the transmission line connection hardware, calculate the total load of the transmission line connection hardware to be analyzed based on the wind load P and the deadweight of the transmission line and other connection hardware, and apply it to the action end face or action point;

[0056] (d) Using three-dimensional units to divide the grid;

[0057] (e) Set the solver and analysis steps to obtain the variation pattern of the wear of the transmission line connecting hardware.

[0058] Step S5: Predict the remaining dimensions of the transmission line coupling. Based on the current O&M inspection results of the transmission line coupling, determine the average frequency f1 of the coupling's swings. Assuming the coupling continues to swing at the same frequency, predict the remaining dimensions of the coupling n years from now.

[0059] A transmission line connection fittings friction wear residual size prediction system Figure 1 Shown, including:

[0060] (1) Database module: two databases: meteorological database and engineering design data database. The meteorological database includes the temperature, humidity, sunshine and wind speed data of the transmission corridor area or the adjacent areas for the past 30 years; the engineering design data database includes the size and weight data of the towers, hardware, conductors, ground wires and insulator strings of the entire transmission line.

[0061] (2) Maximum wind speed calculation module. This module collects statistics on wind speeds over the past 30 years based on the meteorological database and engineering design data database, and uses the extreme value type I distribution function to determine the maximum wind speed v at the hardware.

[0062] (3) Hardware swing angle calculation module. This module calculates the wind deflection angle of the suspension insulator string, the transmission line wind deflection angle, and the connecting hardware wind deflection angle.

[0063] (4) Connecting hardware wear simulation module. This module establishes a three-dimensional finite element model of the transmission line connecting hardware based on the engineering design data, defines the material properties, constitutive relationship and cumulative damage criterion of the hardware, defines the contact conditions, constraints and loads, simulates the wear process of the connecting hardware, and obtains the relationship between the wear amount of the transmission line connecting hardware and the number of wear times.

[0064] (5) Prediction module for the remaining size of connecting fittings. This module calculates the average swing frequency f1 of the transmission line connecting fittings and predicts the remaining size of the transmission line connecting fittings n years later.

[0065] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0066] Example 1

[0067] Establish the three-dimensional geometric model of U-21100-U-21100 hardware, divide the mesh and set the constraints. The three-dimensional finite element model of U-21100-U-21100 hardware is as follows: Figure 2 shown.

[0068] When the load is 4000N, the wind angle is 30°, and the swing frequency is 1.0Hz, the stress distribution of the U-21100-U-21100 fittings after 1500 wear cycles is as follows: Figure 3 As shown. Figure 3 It can be seen that the maximum stress is 7.863×10 8 N / m 2 , obvious wear appears on the contact surfaces of the upper U-21100 and the lower U-21100, and the maximum stress point is located at the transition between the worn part and the intact part.

[0069] The relationship between the remaining dimensions of the U-21100-U-21100 connection fittings and the number of wear times is shown in Table 1.

[0070] Table 1

[0071]

[0072]

[0073] The functional relationship between the remaining size L of the U-21100-U-21100 fitting and the number of abrasive wear n is obtained through polynomial fitting:

[0074] L = -4.4369 × 10 -10 n 3 +1.3458×10 -6 n 2 -0.0016n+17.3205 (6)

[0075] The U-21100-U-21100 fittings have been in operation for 6 years and have a remaining size of 16.8 mm. According to formula (5), the number of wear times n is calculated to be 420 times. The average number of swings f1 of the U-21100-U-21100 fittings per year is estimated to be 70 times. The total number of wear times of the connecting fittings is predicted to be 770 times in 5 years. The remaining size of the U-21100-U-21100 fittings is predicted to be 16.4 mm in 5 years.

[0076] The collection, storage, use, processing, transmission, provision and disclosure of user personal information involved in this disclosure are in compliance with relevant laws and regulations and do not violate public order and good morals.

[0077] It is important to note that personal information collected from users should be used for legitimate and reasonable purposes and should not be shared or sold beyond these legitimate uses. Furthermore, such collection / sharing should be conducted only after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign an agreement / authorization that includes the relevant user information before using the feature. Furthermore, any necessary steps must be taken to safeguard and secure access to such personal information and ensure that others with access to personal information comply with its privacy policy and procedures.

[0078] This disclosure contemplates providing implementations that allow users to selectively block the use or access of personal information data. Specifically, this disclosure contemplates providing hardware and / or software to prevent or block access to such personal information data. Risks can be minimized by limiting data collection and deleting data once it is no longer needed. Furthermore, where applicable, such personal information can be de-identified to protect user privacy.

[0079] The acquisition, transmission, storage, use, and processing of data in the technical solution disclosed herein are in compliance with the relevant provisions of national laws and regulations.

[0080] It should be noted that in the embodiments of the present disclosure, certain software, components, models and other existing solutions in the industry may be mentioned. They should be regarded as exemplary and their purpose is only to illustrate the feasibility of implementing the technical solution of this application, but it does not mean that the applicant has or will necessarily use the solution.

[0081] In the descriptions of the aforementioned embodiments, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are mutually inconsistent.

[0082] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. Throughout the present disclosure, "plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0083] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present disclosure includes additional implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present disclosure belong.

[0084] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or otherwise processing it in a suitable manner if necessary, and then storing it in a computer memory.

[0085] It should be understood that various parts of the present disclosure can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0086] Those skilled in the art will appreciate that all or part of the steps in the method for implementing the above-mentioned embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0087] In addition, the functional units in the various embodiments of the present disclosure may be integrated into a single processing module, each unit may exist physically separately, or two or more units may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or in the form of software functional modules. If the integrated modules are implemented in the form of software functional modules and sold or used as independent products, they may also be stored in a computer-readable storage medium.

[0088] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present disclosure have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. A person of ordinary skill in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present disclosure.

Claims

1. A method for predicting the remaining dimensions of transmission line connection fittings due to friction and wear, characterized by: The steps include: Step S1: Collect meteorological data and engineering design information for the area through which the transmission line passes; Step S2: determining the maximum wind speed at the transmission line connection fittings based on the meteorological data and engineering design data in step S1; Step S3: Calculating the swing angle of the transmission line connection fittings according to the maximum wind speed in step S2; Step S4: Calculating the wear amount of the transmission line connection fittings according to the swing angle in step S3; Step S5: predicting the remaining size of the transmission line coupling fittings based on the wear amount in step S4.

2. The method for predicting the remaining dimensions of transmission line connection fittings due to friction and wear according to claim 1, characterized in that: The meteorological data in step S1 includes the temperature, humidity, sunshine and wind speed data of the area where the transmission corridor is located or the adjacent area for the past 30 years; the engineering design data includes the size and weight data of the towers, hardware, conductors, ground wires and insulator strings of the entire transmission line.

3. The method for predicting the remaining dimensions of transmission line connection fittings due to friction and wear according to claim 2, characterized in that: In step S2, the extreme value type I distribution function is used to determine the maximum wind speed at the hardware.

4. The method for predicting the remaining dimensions of transmission line connection fittings due to friction and wear according to claim 1, wherein: In step S3, the wind deflection angle φ1 of the suspension insulator string is calculated first, then the wind deflection angle φ2 of the transmission line is calculated, and finally the swing angle φ=φ1-φ2 ​​of the transmission line connection fitting is calculated.

5. The method for predicting the remaining dimensions of transmission line connection fittings due to friction and wear according to claim 1, characterized in that: In step S4, finite element software is used to simulate the wear process of the transmission line connection hardware and calculate the wear amount of the transmission line connection hardware. The specific steps include: (a) Establish a three-dimensional geometric model of the connection hardware according to the engineering design drawings; (b) Define the material properties, constitutive relationships, and cumulative damage criteria for transmission line connecting fittings; (c) Define the mutual contact conditions and constraints of the transmission line connection hardware, calculate the total load of the transmission line connection hardware to be analyzed based on the wind load P and the deadweight of the transmission line and other connection hardware, and apply it to the action end face or action point; (d) Using three-dimensional units to divide the grid; (e) Set the solver and analysis steps to obtain the variation pattern of the wear of the transmission line connecting hardware.

6. The method for predicting the remaining dimensions of transmission line connection fittings due to friction and wear according to claim 1, wherein: The step S5 specifically includes: determining the average number of swings f1 of the transmission line connecting fittings based on the current operation and maintenance results of the transmission line connecting fittings; assuming that the transmission line connecting fittings will swing at the same swing frequency as the average number of swings f1 in the future, predicting the remaining size of the fittings after n years.

7. A system for predicting the remaining dimensions of friction and wear of transmission line connection fittings, characterized by: The system comprises: Database module: including meteorological database and engineering design data database; Maximum wind speed calculation module: used to calculate the maximum wind speed at the transmission line connection fittings; Hardware swing angle calculation module: used to calculate the swing angle of transmission line connecting hardware; Connecting hardware wear simulation module: used to calculate the wear of transmission line connecting hardware; Connection fittings remaining size prediction module: used to predict the remaining size of transmission line connection fittings.

8. The system for predicting the remaining dimensions of friction and wear of power transmission line connection fittings according to claim 7, characterized in that: The connection hardware wear simulation module establishes a three-dimensional finite element model of the connection hardware based on engineering design data, defines the material properties, constitutive relationship and cumulative damage criterion of the hardware, defines contact conditions, constraint conditions and loads, simulates the wear process of the connection hardware, and obtains the relationship between the wear amount of the connection hardware and the number of wear times.

9. A server, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the method according to any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the method according to any one of claims 1 to 6.

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