CN117571117A - Method for judging overhead line state through vibration frequency monitoring - Google Patents
Method for judging overhead line state through vibration frequency monitoring Download PDFInfo
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- CN117571117A CN117571117A CN202311552059.7A CN202311552059A CN117571117A CN 117571117 A CN117571117 A CN 117571117A CN 202311552059 A CN202311552059 A CN 202311552059A CN 117571117 A CN117571117 A CN 117571117A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000001133 acceleration Effects 0.000 claims abstract description 36
- 239000013598 vector Substances 0.000 claims abstract description 19
- 238000001228 spectrum Methods 0.000 claims abstract description 15
- 230000005540 biological transmission Effects 0.000 claims abstract description 14
- 230000002159 abnormal effect Effects 0.000 claims abstract description 11
- 238000009434 installation Methods 0.000 claims abstract description 7
- 238000010801 machine learning Methods 0.000 claims abstract description 4
- 230000003595 spectral effect Effects 0.000 claims abstract description 4
- 238000005070 sampling Methods 0.000 claims description 7
- 230000005856 abnormality Effects 0.000 claims description 6
- 239000000284 extract Substances 0.000 claims description 5
- 230000002776 aggregation Effects 0.000 claims description 4
- 238000004220 aggregation Methods 0.000 claims description 4
- 230000008859 change Effects 0.000 claims description 3
- 238000009413 insulation Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 230000001681 protective effect Effects 0.000 claims description 3
- 239000004020 conductor Substances 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 238000007405 data analysis Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000012806 monitoring device Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000010891 electric arc Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000001012 protector Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/085—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution lines, e.g. overhead
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Theoretical Computer Science (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The invention discloses a method for judging the state of an overhead line through vibration frequency monitoring, which comprises the following steps: step one, an acceleration sensor collects original acceleration data of each dimension, and an algorithm chip refines spectral characteristics and acceleration vector data; step two, uploading to a collecting transponder through a wireless transmission chip; step three, uploading the data to a server to store in a database, and judging whether the overhead line at the installation position is abnormal due to failure by combining the historical monitoring data of each overhead line monitor by a server program; step four, presenting the program to a user through a user terminal program; step five, the server-side program calculates by self-correction through machine learning according to user feedback, and the invention relates to the technical field of overhead line monitoring. According to the method, the system and the device, the information such as the attitude state, the frequency spectrum characteristics and the like of the overhead line is uploaded in real time without being affected by the environment in a full period, so that a user can timely see and obtain abnormal prompts through a client program and a server program.
Description
Technical Field
The invention relates to the monitoring of the state and fault of an overhead line used in a power network, in particular to the monitoring and positioning of wire galloping, strand breakage, windage yaw and protection device abnormality, and belongs to the technical field of power transmission monitoring and maintenance.
Background
The wire in the overhead power line can vibrate in the sky because of the effect of wind, when the external force of drive vibration is the same with wire natural frequency, can take place resonance or galloping, can lead to the wire to take place tired strand breakage in fastener or protector's mounted position and edge, if produce the galloping of great range, can lead to broken wire, insulating cluster and gold utensil damage, even the shaft tower damages, this kind of condition is more after the wire icing, and wind-force can let the wire produce great windage simultaneously, makes wire and shaft tower's insulating distance reduce and initiate arc discharge and lead to the circuit tripping operation, above trouble not only causes economic loss and incident, still has shortened the operating life of circuit. Therefore, the wire is monitored in the aspects of vibration frequency, acceleration vector and the like, the state of the wire is known in real time, and particularly, hidden dangers are found, so that the wire is an important requirement of an electric power maintenance department. The traditional method for sampling manual line inspection or unmanned aerial vehicle line inspection has the defects of high cost, narrow coverage, untimely problem finding and the like, and the adoption of video monitoring has the defects of great influence of environmental climate, low consumption flow, low intelligent image recognition accuracy and the like. With the continuous prompt of wireless transmission technology, distributed computing technology, big data analysis and machine learning technology, the sampling vibration monitoring device directly acquires the frequency spectrum characteristics and the real-time acceleration vector direction of the wire, and by combining analysis and comparison of historical data, the direct diagnosis of the current situation and potential abnormality of the overhead wire becomes possible, so that a method for judging the state of the overhead wire through vibration frequency monitoring is provided.
Disclosure of Invention
The invention aims to solve the technical problem of providing a system and a method for judging the posture and the state of an overhead conductor through vibration frequency monitoring, judging whether the overhead conductor is abnormal such as slipping, strand breakage, icing, galloping, protective device failure or not by combining historical data, and feeding back the abnormal to user terminal equipment.
In order to achieve the above purpose, the present invention adopts the following technical scheme: a method for judging the state of an overhead line through vibration frequency monitoring comprises an overhead line vibration monitor, a collecting transponder, a server-side program and a user-side program; the vibration monitor comprises an acceleration sensor, an algorithm chip and a wireless transmission chip;
the method comprises the following specific steps:
step one, an acceleration sensor collects original acceleration data of each dimension, the data are fed back to an algorithm chip, and the algorithm chip refines spectral characteristics and acceleration vector data;
step two, the frequency spectrum characteristic and the acceleration vector data are uploaded to a collecting and forwarding device through a wireless transmission chip;
step three, uploading the frequency spectrum characteristics and the acceleration vector data to a server through a collecting transponder to be stored in a database, and judging whether the overhead line at the installation position is abnormal due to failure by combining the historical monitoring data of each overhead line monitor by a server program;
step four, presenting the program to a user through a user terminal program;
and fifthly, the server program self-corrects the algorithm through machine learning according to user feedback.
Preferably, the algorithm chip is provided with a Fourier transform FFT algorithm program, the algorithm chip sets a sampling period, processes acceleration data of each dimension obtained by the acceleration sensor according to the sampling period, extracts frequency spectrum characteristics and acceleration vectors, adds equipment id and time information to encode, uploads the frequency spectrum characteristics and the acceleration vectors to the aggregation transponder through the wireless transmission chip, and uploads the frequency spectrum characteristics and the acceleration vectors to the server to be stored in the database.
Preferably, the server program is arranged in the server, extracts current data and historical data of the monitoring equipment from the database, analyzes the change characteristics of the current data and the historical data, and deduces whether wire slippage, strand breakage, galloping, resonance, windage yaw, icing and abnormal conditions of the protection device occur by combining the overhead line parameters of the installation point of the monitoring equipment which are input in advance.
Preferably, the overhead line parameters include, but are not limited to, diameter of the conductor, density, modulus of elasticity, shear modulus, poisson's ratio, span, sag, insulation string type, height of the tower, modulus of elasticity, shear modulus, theoretical natural frequency data, and installed guard information.
Preferably, the client program presents the information monitored by the device and the gesture state of the line to the user in a data, chart or 3D animation mode, and prompts possible abnormality.
Preferably, the user-side program is provided with a user feedback input field, the user can input and upload the actually observed condition into a server database, and the server-side program is provided with a machine learning program for continuously correcting the judging algorithm of the fault type and the cause.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, the system and the device, the information such as the attitude state, the frequency spectrum characteristics and the like of the overhead line is uploaded in real time without being affected by the environment in a full period, so that a user can timely see and obtain abnormal prompts through a client program and a server program.
2. The invention adopts the architecture of edge calculation, the data is extracted from the operation chip of the monitor, the flow, the memory occupation and the operation load of the server are greatly reduced, and the system operation cost is greatly reduced.
3. The invention adopts the collecting transponder as the wireless relay, thereby greatly reducing the power consumption of the vibration monitor, reducing the volume and the weight of the vibration monitor, reducing the influence of the natural frequency and reducing the negative influence on the overhead conductor.
4. According to the invention, through big data analysis and self-learning, the judgment accuracy can be continuously improved.
Drawings
The invention is described in further detail below with reference to the attached drawings and detailed description:
FIG. 1 is a logic diagram of data processing for a method of determining overhead line status via vibration frequency monitoring in accordance with the present invention;
FIG. 2 is a schematic diagram of the system configuration and data transmission of the real-time example of FIG. 1;
fig. 3 is a schematic diagram illustrating information display of a user side in the embodiment of fig. 1;
fig. 4 is a schematic diagram of a feedback interface of the user side in the embodiment of fig. 1.
In the figure: 1. an overhead line vibration monitor; 2. a sink repeater; 3. a server-side program; 4. a user end program; 11. an acceleration sensor; 12. an algorithm chip; 13. and a wireless transmission chip.
Detailed Description
Further advantages and effects of the present invention will become apparent to those skilled in the art from the disclosure of the present invention, which is described by the following specific examples.
Please refer to fig. 1 to 4. It should be understood that the structures, proportions, sizes, etc. shown in the drawings are for illustration purposes only and should not be construed as limiting the invention to the extent that it can be practiced, since modifications, changes in the proportions, or otherwise, used in the practice of the invention, are not intended to be critical to the essential characteristics of the invention, but are intended to fall within the spirit and scope of the invention. Also, the terms such as "upper," "lower," "left," "right," "middle," and "a" and the like recited in the present specification are merely for descriptive purposes and are not intended to limit the scope of the invention, but are intended to provide relative positional changes or modifications without materially altering the technical context in which the invention may be practiced.
The invention provides a technical scheme that: as can be seen from fig. 1 to fig. 4, the method for judging the status of an overhead line by monitoring the vibration frequency of the present invention mainly comprises an overhead line vibration monitor 1, a convergence transponder 2, a server program 3, and a user program 4; the vibration monitor 1 comprises an acceleration sensor 11, an algorithm chip 12, a wireless transmission chip 13 and an auxiliary circuit, wherein data obtained by the acceleration sensor 11 are extracted by the algorithm chip 12 to obtain frequency spectrum characteristics and acceleration vectors, the frequency spectrum characteristics and the acceleration vectors are uploaded to a nearby collecting transponder 2 through the wireless transmission chip 13 and then uploaded to a server to be stored in a database, a server-side program 3 is combined with historical monitoring data of each overhead line monitor and other relevant parameters to judge whether the overhead line at the installation place is abnormal such as galloping, resonance, windage yaw, icing, strand breakage, failure of a protection device and the like, and the data, a chart or 3D animation and the like are presented to a user through a user-side program 4.
As can be seen from fig. 1, the algorithm chip 12 is loaded with a program including a fourier transform FFT algorithm, processes acceleration data of each dimension obtained by the acceleration sensor 11 according to a set sampling period, efficiently encodes information such as extracted spectral features and acceleration vectors, adding device id and time, and the like, and then uploads the information to the nearby aggregation transponder 2 through the wireless transmission chip 13, and then uploads the information to the server for storage in a database.
As can be seen from fig. 1, the server-side program 3 extracts current data and historical data of a certain monitoring device from the database, analyzes the change characteristics of the current data and the historical data, and combines various parameters of the overhead line of the installation point of the monitoring device, including but not limited to the diameter, density, elastic modulus, shear modulus, poisson ratio, span, sag, insulation string type, height of a tower, elastic modulus, shear modulus, theoretical natural frequency and other data of the wire, and the installed protection device information, to infer whether the wire slips, strand breakage, galloping, resonance, icing, protection device abnormality and other conditions occur.
As can be seen from fig. 3, the client program 4 presents the information monitored by the device and the gesture state of the line to the user in a data, chart or 3D animation mode, and prompts possible abnormality.
As can be seen from fig. 4, the user side program 4 is provided with a user feedback input field, and the user can input and upload the actual observed situation into the server database, and the server side program 3 is provided with a machine learning program to continuously correct the fault type and cause judgment algorithm.
Compared with the prior art, the method for judging the state of the overhead line through vibration frequency monitoring provided by the invention has the advantages that the vibration frequency and acceleration vector monitoring is skillfully utilized to feed back the posture and state of the overhead line, whether the overhead line is abnormal such as sliding, strand breakage, galloping, icing, protective device failure and the like is calculated, the overhead line is not influenced by the climate environment, the real-time monitoring is carried out in a full time period, the abnormal type and position are accurately prompted, the system operation cost is low, the accuracy is continuously improved through big data analysis and self-learning, and the like.
The above embodiments are merely illustrative of the principles of the present invention and its effectiveness, and are not intended to limit the invention. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the invention. Accordingly, it is intended that all equivalent modifications and variations of the invention be covered by the claims, which are within the ordinary skill of the art, be within the spirit and scope of the present disclosure.
Claims (6)
1. The method for judging the state of the overhead line through vibration frequency monitoring is characterized by comprising an overhead line vibration monitor (1), a collection transponder (2), a server-side program (3) and a user-side program (4); the vibration monitor (1) comprises an acceleration sensor (11), an algorithm chip (12) and a wireless transmission chip (13);
the method comprises the following specific steps:
step one, an acceleration sensor (11) collects original acceleration data of each dimension, the data are fed back to an algorithm chip (12), and the algorithm chip (12) refines spectral characteristics and acceleration vector data;
step two, the frequency spectrum characteristics and the acceleration vector data are uploaded to the aggregation transponder (2) through the wireless transmission chip (13);
step three, uploading the frequency spectrum characteristics and the acceleration vector data to a server through a collecting transponder (2) to be stored in a database, and judging whether the overhead line at the installation position is invalid or not by combining the historical monitoring data of each overhead line monitor by a server-side program (3);
step four, presenting the information to a user through a user-side program (4);
step five, the server program (3) self-corrects the algorithm through machine learning according to user feedback.
2. A method of determining overhead line status via vibration frequency monitoring as claimed in claim 1, wherein: the algorithm chip (12) is loaded with a Fourier transform FFT algorithm program, the algorithm chip (12) sets a sampling period, processes acceleration data of each dimension obtained by the acceleration sensor (11) according to the sampling period, extracts frequency spectrum characteristics and acceleration vectors, simultaneously adds equipment id and time information to encode, and uploads the frequency spectrum characteristics and the acceleration vectors to the aggregation transponder (2) through the wireless transmission chip (13), and then uploads the frequency spectrum characteristics and the acceleration vectors to the server to be stored in the database.
3. A method of determining overhead line status via vibration frequency monitoring as claimed in claim 1, wherein: the server-side program (3) is arranged in the server, extracts current data and historical data of the monitoring equipment from the database, analyzes the change characteristics of the current data and the historical data, and deduces whether abnormal conditions of wire slippage, strand breakage, galloping, resonance, windage yaw, icing and a protective device occur or not by combining the overhead line parameters of the installation point of the monitoring equipment which are input in advance.
4. A method of determining the status of an overhead line by vibration frequency monitoring according to claim 3, wherein: the overhead line parameters include, but are not limited to, diameter, density, modulus of elasticity, shear modulus, poisson's ratio, span, sag, insulation string type, height of the tower, modulus of elasticity, shear modulus, theoretical natural frequency data, and installed guard information.
5. A method of determining overhead line status via vibration frequency monitoring as claimed in claim 1, wherein: the user end program (4) presents the information monitored by the equipment and the gesture state of the line to the user in a data, chart or 3D animation mode, and prompts possible abnormality.
6. A method of determining overhead line status via vibration frequency monitoring as claimed in claim 1, wherein: the user side program (4) is provided with a user feedback input field, a user can input and upload the actual observed condition into a server database, and the server side program (3) is provided with a machine learning program and a judging algorithm for continuously correcting the fault type and the cause.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311552059.7A CN117571117A (en) | 2023-11-21 | 2023-11-21 | Method for judging overhead line state through vibration frequency monitoring |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311552059.7A CN117571117A (en) | 2023-11-21 | 2023-11-21 | Method for judging overhead line state through vibration frequency monitoring |
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| CN117571117A true CN117571117A (en) | 2024-02-20 |
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| CN202311552059.7A Pending CN117571117A (en) | 2023-11-21 | 2023-11-21 | Method for judging overhead line state through vibration frequency monitoring |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101893478A (en) * | 2009-05-20 | 2010-11-24 | 新疆电力设计院 | Method for immediately monitoring and recording overhead power transmission line |
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| CN115115816A (en) * | 2022-06-09 | 2022-09-27 | 上海倍肯智能科技有限公司 | Monitoring and alarming system for icing waving of power transmission line |
| US20230029221A1 (en) * | 2021-07-22 | 2023-01-26 | Nec Laboratories America, Inc | Galloping monitoring of overhead transmission lines using distributed fiber optic sensing |
| CN115754600A (en) * | 2022-11-15 | 2023-03-07 | 广东电网有限责任公司 | Overhead ground wire strand breakage identification method and device, terminal device and storage medium |
-
2023
- 2023-11-21 CN CN202311552059.7A patent/CN117571117A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101893478A (en) * | 2009-05-20 | 2010-11-24 | 新疆电力设计院 | Method for immediately monitoring and recording overhead power transmission line |
| CN102507123A (en) * | 2011-09-29 | 2012-06-20 | 中国电力科学研究院 | Test method used for transmission line ice coating disconnection |
| CN108898765A (en) * | 2018-05-11 | 2018-11-27 | 国网湖北省电力有限公司检修公司 | A kind of overhead transmission line external force damage alarm method based on analysis of vibration signal |
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