Intelligent monitoring system for running state of electric pole stay wire

Abstract

The invention discloses an intelligent monitoring system for the operating state of an electric pole stay wire, and relates to the field of intelligent sensing of the operating state of distribution lines. The invention aims to solve the problem that the maintenance progress is delayed due to the fact that the maintenance personnel cannot judge the fault in advance and make corresponding preparations because the fault type cannot be known by the existing fault alarm method for the electric pole. Whether the stress variation collected by the tension sensing module exceeds a threshold value or not is judged in real time, if yes, stress performance analysis is carried out through a finite element model of the electric pole and the stay wire, the load state of the electric pole and the stay wire is obtained, and the current fault type is judged through a neural network model according to the load state. Early warning is provided for dangerous states and external damage, so that safe and stable operation of a distribution line is guaranteed, and inspection work of stay wires is greatly reduced.

Description

Technical Field

[0001] The invention belongs to the field of intelligent perception of distribution line operation status. Background Art

[0002] Electric poles are the main support for overhead power distribution lines in my country. There are a large number of them. Once the electric poles are tilted or collapsed, it will seriously affect people's production and living electricity. The electric pole guy wire is to balance the forces of all aspects of the electric pole and resist wind pressure to prevent the electric pole from falling. Generally, it is hit diagonally from the bottom of the cross arm of the electric pole to the ground. It is very easy to be hit and damaged by external forces such as vehicles and various machinery, and lose the function of stabilizing the electric pole.

[0003] At present, the main types of guy wires for poles are:

[0004] ① Ordinary tension wire, used at terminal poles, corner poles and tension poles, to balance the tension;

[0005] ② Two side guy wires, installed on both sides of the straight pole, to enhance the pole's wind resistance;

[0006] ③ Four-way guy wires are used to tie wires around the pole to enhance the stability of the pole;

[0007] ④ Aisle wire is to erect a wire pole on the side of the road and make an aisle wire on the pole. It must be maintained at a certain height so as not to affect traffic.

[0008] From the above introduction to the classification of pole guy wires, it can be seen that most poles with guy wires are terminal poles, corner poles or tension poles, which are subjected to large horizontal forces. Once the guy wires become loose, broken, pulled out or other faults due to external forces, serious power grid accidents such as broken wires, fallen poles and tilted poles are very likely to occur under the action of unbalanced tension in the horizontal conductors. Therefore, the operating status of the guy wire system of the guy wire pole directly determines the safe and stable operation of the distribution line, but most of them can only rely on manual inspections and public alarms after accidents to discover problems. For this reason, the existing technology will set sensors on the guy wires, and once the sensors detect abnormal data, they will alarm to avoid untimely detection of problems.

[0009] However, most of the overhead distribution lines are located in the suburbs where few people go. The suburban environment is complex and there are many factors that cause pole and wire failures, such as looseness caused by wind in windy weather, tightness caused by snow and ice on snowy days, or damage caused by external impact, and the damage includes damage to the poles and wires. Different types of faults require different treatment methods. Although the existing technology can realize timely alarm when a fault occurs, it is impossible for the staff to grasp the type of fault in the first time. It is necessary to wait until the maintenance personnel come to the fault site for inspection before they can know the type of fault and then start maintenance work. However, since the staff are not clear about the location and cause of the fault before they arrive, they cannot prepare in advance to carry the corresponding maintenance tools, and thus cannot repair the fault in the first time, which will still delay the progress of maintenance. Summary of the invention

[0010] The present invention aims to solve the problem that the existing pole fault alarm method cannot know the fault type, resulting in the maintenance personnel being unable to judge the fault in advance and make corresponding preparations, thereby delaying the maintenance progress. An intelligent monitoring system for the operation status of the pole wire is now provided.

[0011] An intelligent monitoring system for the operation status of a pole cable, comprising: a tension sensing module 6 and a processor;

[0012] The two force measuring ends of the tension sensing module 6 are respectively connected to the electric pole and the tension wire, and are used to collect the force vector;

[0013] The processor is used to determine in real time whether the force change collected by the tension sensing module 6 exceeds a threshold value. If so, a force performance analysis is performed through a finite element model of the pole and the guy wire to obtain the load status of the pole and the guy wire, and the current fault type is determined through a neural network model based on the load status.

[0014] Furthermore, the above-mentioned force performance analysis is performed through the finite element model of the electric pole cable to obtain the load state of the cable, including:

[0015] The force vector collected by the tension sensing module 6 is input into the finite element model of the pole and the guy wire. The finite element model analyzes the force performance of the pole and the guy wire according to the force vector, thereby obtaining the load distribution on the pole and the guy wire;

[0016] The finite element model is constructed using ANSYS software, and a force vector and load distribution mapping relationship model is preset in the finite element model.

[0017] Furthermore, judging the current fault type through the neural network model according to the load state includes:

[0018] Collect n position points in the finite element model of the electric pole and the guy wire, wherein the n position points are evenly distributed on the electric pole and the guy wire, and n is a positive integer greater than or equal to 100;

[0019] The load values ​​at the n position points are arranged in descending order and evenly divided into three sections. The position points in the same section are marked with the same color in the finite element model, and the position points in different sections are marked with different colors in the finite element model, so as to construct a load distribution diagram;

[0020] The load distribution diagram is input into a trained neural network model to obtain the fault type.

[0021] Furthermore, the training method of the above neural network model is:

[0022] Different fault types are simulated in the finite element model of the pole and the guy wire, and the stress performance analysis is performed under each fault type to obtain the load distribution of the pole and the guy wire under different simulated fault types, and the load distribution diagram under different simulated fault types is collected; the load distribution diagram is used as input, and the fault type corresponding to the load distribution diagram is used as output to construct a primary model of the neural network; the load distribution diagram under different simulated fault types is used to train the primary model of the neural network, and then a trained neural network model is obtained.

[0023] Furthermore, the tension sensing module 6 includes: a vibrating-wire strain gauge 11, a parallel groove clamp 12 and an extension rod 13; the two ends of the vibrating-wire strain gauge 11 are respectively mounted on the extension rod 13 through two parallel groove clamps 12; the two ends of the extension rod 13 are respectively connected to the electric pole and the guy wire, so that when the tension between the electric pole and the guy wire changes, the measurement value of the vibrating-wire strain gauge 11 can change.

[0024] Furthermore, the intelligent monitoring system further comprises a solar cell 8 ; the solar cell 8 is used to supply power to the tension sensing module 6 and the processor.

[0025] Furthermore, the processor is also used to start a wireless transmission module after obtaining the fault type, and the wireless transmission module is used to send the fault type to the host computer.

[0026] The intelligent monitoring system for the operation status of the pole cable according to the present invention has the following beneficial effects:

[0027] (1) The present invention determines the fault type and assists the staff to prepare countermeasures in advance, thereby reducing maintenance time and lowering the fault deterioration rate;

[0028] (2) The wireless transmission module is started only after the fault type is obtained, saving energy;

[0029] (3) It uses solar power to power distribution lines without consuming any energy, thus achieving low-carbon inspection of distribution lines;

[0030] (4) Through online monitoring, the working status of the guyed poles and the guyed wires can be obtained in real time, so that the guyed poles can be inspected less or without inspection, greatly reducing the workload of manual inspections at key pole positions;

[0031] (5) It can identify changes that are imperceptible to the naked eye during manual inspections, including slight tilt of the pole and small changes in the tension of the guy wire, thus eliminating hidden dangers when minor defects appear on the guy wire pole.

[0032] To sum up, the present invention focuses on the operating status of the pole guy wires, and adopts the guy wire operating status sensing technology to grasp the operating status of the pole guy wires in real time, so as to judge the fault type of the guy wire pole, and provide early warning for dangerous conditions and external force damage, so as to ensure the safe and stable operation of the distribution line and greatly reduce the inspection work of the guy wires. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a schematic diagram of the installation of an existing pole wire detection system on the wire;

[0034] Figure 2 It is a structural diagram of the tension sensing module;

[0035] Figure 3 It is a structural schematic diagram of the parallel groove clamp;

[0036] Figure 4 It is a schematic diagram of the structure of the protective shell;

[0037] Figure 5 This is a schematic diagram of the working principle of the intelligent monitoring system for the operation status of the pole cable;

[0038] 1—electric pole, 2—pull wire, 3—pull wire drum, 4—chuck, 5—chassis, 6—tension sensing module, 7—tilt sensing module, 8—solar cell, 11—vibrating wire strain gauge, 12—parallel groove clamp, 13—extension rod, 14—protective shell, 21—steel protective shell, 22—bolts, 23—sealing gasket. DETAILED DESCRIPTION

[0039] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention. It should be noted that the embodiments of the present invention and the features in the embodiments can be combined with each other without conflict.

[0040] Reference Figures 1 to 5 The present embodiment is described in detail. The intelligent monitoring system for the operation status of the pole cable described in the present embodiment includes: a tension sensing module 6, a processor and a solar cell 8.

[0041] The tension sensing module 6 includes: a vibrating-wire strain gauge 11, a parallel groove clamp 12 and an extension rod 13. The two ends of the vibrating-wire strain gauge 11 are respectively mounted on the extension rod 13 through two parallel groove clamps 12. The two ends of the extension rod 13 are respectively connected to the pole and the tension wire, so that when the tension between the pole and the tension wire changes, the measurement value of the vibrating-wire strain gauge 11 can change. The two force measuring ends of the tension sensing module 6 are respectively connected to the pole and the tension wire, and are used to collect the force vector.

[0042] The processor is used to determine in real time whether the force variation collected by the tension sensing module 6 exceeds a threshold value.

[0043] The force vector collected by the tension sensing module 6 is input into the finite element model of the pole and the guy wire. The finite element model analyzes the force performance of the pole and the guy wire according to the force vector, and then obtains the load distribution on the pole and the guy wire, that is, the load state of the pole and the guy wire. Afterwards, the current fault type is determined by the neural network model according to the load state, specifically, including:

[0044] N position points are collected in the finite element model of the pole and the guy wire, and the n position points are evenly distributed on the pole and the guy wire, and n is a positive integer greater than or equal to 100; the load values ​​at the n position points are arranged in descending order and evenly divided into three sections, the position points in the same section are marked with the same color in the finite element model, and the position points in different sections are marked with different colors in the finite element model, so as to construct a load distribution diagram; the load distribution diagram is input into the trained neural network model to obtain the fault type.

[0045] In this embodiment, the finite element model is constructed using ANSYS software, and a force vector and load distribution mapping relationship model is preset in the finite element model. Analyzing the finite element model under the design working condition is conducive to understanding the force characteristics of the pole and the guy wire structure, obtaining the weak parts of the structure, and according to the structural distribution of the weak parts, the fault type can be obtained through the neural network model.

[0046] The training method of the above neural network model is:

[0047] Simulating different fault types in the finite element model of the pole and the guy wire, performing stress performance analysis under each fault type, obtaining the load distribution of the pole and the guy wire under different simulated fault types, and collecting load distribution diagrams under different simulated fault types;

[0048] The load distribution map is used as input, and the fault type corresponding to the load distribution map is used as output to construct a primary neural network model;

[0049] The load distribution diagrams under different simulated fault types are used to train the primary neural network model, thereby obtaining a trained neural network model.

[0050] The solar cell is used to supply power to the tension sensing module 6 and the processor.

[0051] The processor starts the wireless transmission module after obtaining the fault type, and the wireless transmission module is used to send the fault type to the host computer.

[0052] Although the present invention is described herein with reference to specific embodiments, it should be understood that these embodiments are merely examples of the principles and applications of the present invention. It should therefore be understood that many modifications may be made to the exemplary embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that the various dependent claims and features described herein may be combined in a manner different from that described in the original claims. It should also be understood that the features described in conjunction with a single embodiment may be used in other described embodiments.

Claims

1. An intelligent monitoring system for the operation status of a pole cable, characterized in that: include: A tension sensing module (6) and a processor; The two force measuring ends of the tension sensing module (6) are respectively connected to the electric pole and the tension wire, and are used to collect the force vector; The processor is used to determine in real time whether the force variation collected by the tension sensing module (6) exceeds a threshold value. If so, a force performance analysis is performed through a finite element model of the pole and the guy wire to obtain the load status of the pole and the guy wire, and the current fault type is determined through a neural network model based on the load status.

2. The intelligent monitoring system for the operation status of the pole cable according to claim 1 is characterized in that: The force performance analysis is performed through the finite element model of the electric pole cable to obtain the load state of the cable, including: The force vector collected by the tension sensing module (6) is input into the finite element model of the pole and the guy wire, and the finite element model performs a force performance analysis on the pole and the guy wire according to the force vector, thereby obtaining the load distribution on the pole and the guy wire; The finite element model is constructed using ANSYS software, and a force vector and load distribution mapping relationship model is preset in the finite element model.

3. The intelligent monitoring system for the operation status of the pole cable according to claim 2 is characterized in that: The determining of the current fault type through a neural network model according to the load state includes: Collect n position points in the finite element model of the electric pole and the guy wire, wherein the n position points are evenly distributed on the electric pole and the guy wire, and n is a positive integer greater than or equal to 100; The load values ​​at the n position points are arranged in descending order and evenly divided into three sections. The position points in the same section are marked with the same color in the finite element model, and the position points in different sections are marked with different colors in the finite element model, so as to construct a load distribution diagram; The load distribution diagram is input into a trained neural network model to obtain the fault type.

4. The intelligent monitoring system for the operation status of the pole cable according to claim 3 is characterized in that: The training method of the neural network model is: Simulating different fault types in the finite element model of the pole and the guy wire, performing stress performance analysis under each fault type, obtaining the load distribution of the pole and the guy wire under different simulated fault types, and collecting load distribution diagrams under different simulated fault types; The load distribution map is used as input, and the fault type corresponding to the load distribution map is used as output to construct a primary neural network model; The load distribution diagrams under different simulated fault types are used to train the primary neural network model, thereby obtaining a trained neural network model.

5. An intelligent monitoring system for the operation status of a pole cable according to claim 1, 2, 3 or 4, characterized in that: The tension sensing module (6) comprises: a vibrating-wire strain gauge (11), a parallel groove clamp (12) and an extension rod (13); The two ends of the vibrating-wire strain gauge (11) are respectively mounted on the extension rod (13) through two parallel groove clamps (12); The two ends of the extension rod (13) are respectively connected to the electric pole and the tension wire, so that when the tension between the electric pole and the tension wire changes, the measurement value of the vibrating wire strain gauge (11) can change.

6. The intelligent monitoring system for the operation status of the pole cable according to claim 5, characterized in that: The intelligent monitoring system further comprises a solar cell (8); The solar cell (8) is used to supply power to the tension sensing module (6) and the processor.

7. The intelligent monitoring system for the operation status of the pole cable according to claim 5, characterized in that: The processor is further used to start a wireless transmission module after obtaining the fault type, and the wireless transmission module is used to send the fault type to the host computer.

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