CN110553830A - online detection method for mechanical characteristics of metal-enclosed switchgear - Google Patents

online detection method for mechanical characteristics of metal-enclosed switchgear Download PDF

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Publication number
CN110553830A
CN110553830A CN201910917638.4A CN201910917638A CN110553830A CN 110553830 A CN110553830 A CN 110553830A CN 201910917638 A CN201910917638 A CN 201910917638A CN 110553830 A CN110553830 A CN 110553830A
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China
Prior art keywords
vibration
metal
processing terminal
time information
mechanical characteristics
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CN201910917638.4A
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CN110553830B (en
Inventor
熊攀
贾志杰
邓刚
曾启才
王嘉易
袁霞
丁澄
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State Grid Sichuan Electric Power Co Ltd
Electric Power Research Institute of State Grid Sichuan Electric Power Co Ltd
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State Grid Sichuan Electric Power Co Ltd
Electric Power Research Institute of State Grid Sichuan Electric Power Co Ltd
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Publication of CN110553830A publication Critical patent/CN110553830A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00Testing of machine parts
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/327Testing of circuit interrupters, switches or circuit-breakers
    • G01R31/3271Testing of circuit interrupters, switches or circuit-breakers of high voltage or medium voltage devices
    • G01R31/3272Apparatus, systems or circuits therefor

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Arc-Extinguishing Devices That Are Switches (AREA)
  • Testing Electric Properties And Detecting Electric Faults (AREA)

Abstract

The invention discloses an online detection method for mechanical characteristics of metal-enclosed switchgear, which comprises the following steps: s1, collecting vibration signals when the switch cabinet acts, and collecting current data of the opening and closing coil when the circuit breaker acts; s2, sending the acquired vibration signals and current data to a processing terminal; s3, extracting key current and time information of vibration event change; s4, displaying the key current and time information in a waveform form, and displaying the time information of the vibration event change in the waveform form; and S5, judging whether the time when the key current and the vibration event change occur is the same, if so, judging that the switch is operated at the moment, otherwise, judging that the switch is not operated at the moment. The invention adopts the multiple sensors to sense the mechanical characteristics of the sensors, and can compare signals sensed by the sensors with each other, thereby avoiding errors caused by single detection.

Description

Online detection method for mechanical characteristics of metal-enclosed switchgear
Technical Field
The invention relates to the field of metal-enclosed switchgear detection, in particular to an online detection method for mechanical characteristics of metal-enclosed switchgear.
Background
The high-voltage circuit breaker is the most important protection and control equipment in the power system, and the reliability of the performance of the high-voltage circuit breaker is closely related to the reliability of a mechanical transmission system of the high-voltage circuit breaker. The mechanical characteristic test of the circuit breaker is not only an important item in routine tests, but also is an indispensable content for implementing uninterrupted detection of the switch cabinet, the mechanical state evaluation made according to the test result is an important guarantee for reliable operation of the circuit breaker and safety and stability of a power grid, and the 10kV metal closed switch equipment is used as the last-stage high-voltage switch equipment facing to a user side, and the operation state of the circuit breaker inside the 10kV metal closed switch equipment directly influences the power consumption of the user, so that the circuit breaker is more important.
At present, in the detection of the mechanical characteristics of the circuit breaker in 10kV metal-enclosed switchgear, detection personnel mainly carry a mechanical characteristic detector to perform uncharged detection when the switch cabinet is subjected to routine power failure maintenance, and although the detection method is commonly used at present, more problems exist.
(1) the detection personnel carry the detector to the site for detection, and the detection process is troublesome;
(2) Because the detection is generally carried out during routine maintenance, the detection is less in times, and more samples cannot be provided, so that the mechanical characteristics of the switch cabinet in actual operation can be deduced;
(3) The detection means is single, and the estimation can be carried out only by detecting the current of the opening and closing coil.
Disclosure of Invention
Aiming at the defects in the prior art, the online detection method for the mechanical characteristics of the metal-enclosed switchgear provided by the invention solves the problem that the existing detection method for the metal-enclosed switchgear is complicated and inconvenient.
In order to achieve the purpose of the invention, the invention adopts the technical scheme that:
The method for detecting the mechanical characteristics of the metal enclosed switchgear on line comprises the following steps:
s1, collecting vibration signals when the switch cabinet acts, and collecting current data of the opening and closing coil when the circuit breaker acts;
S2, sending the acquired vibration signals and current data to a processing terminal;
s3, performing wavelet denoising on current data through a processing terminal, and extracting key current and time information; wavelet denoising and envelope analysis are carried out on the vibration signals through a processing terminal, and time information of vibration event change is extracted;
s4, displaying the key current and time information in a waveform form, and displaying the time information of the vibration event change in the waveform form;
and S5, judging whether the time when the key current and the vibration event change occur is the same, if so, judging that the switch is operated at the moment, otherwise, judging that the switch is not operated at the moment.
further, the specific method of step S1 is:
the vibration sensor is used for collecting vibration signals when the switch cabinet acts, and the Hall sensor is used for collecting opening and closing coil currents when the circuit breaker acts, so that vibration signals and current data are obtained.
Further, the specific method of step S2 is:
The A/D data acquisition card is used for acquiring and converting the acquired vibration signals and current data, and the wireless communication module is used for sending the converted signals to the processing terminal.
further, the wireless communication module is a Zigbee communication module.
Further, the processing terminal is an industrial personal computer.
the invention has the beneficial effects that: the method adopts the multiple sensors to sense the mechanical characteristics of the sensors, and can compare signals sensed by the sensors with each other, thereby avoiding errors caused by single detection. Various detection devices used in the method can continuously run only after being installed once, and a maintainer only needs to check the field processing terminal to obtain the mechanical characteristic condition of the switch cabinet in required time during each action, so that the operation is simple and convenient. The method can realize real-time continuous detection of the mechanical characteristics of the 10kV metal closed type switch equipment, and avoids the problem that the actual mechanical characteristics cannot be mastered due to detection only when power failure maintenance is carried out.
Drawings
FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined in the appended claims, and all matters produced by the invention using the inventive concept are protected.
As shown in fig. 1, the online detection method for mechanical characteristics of metal-enclosed switchgear includes the following steps:
S1, collecting vibration signals when the switch cabinet acts, and collecting current data of the opening and closing coil when the circuit breaker acts;
s2, sending the acquired vibration signals and current data to a processing terminal;
s3, performing wavelet denoising on current data through a processing terminal, and extracting key current and time information; wavelet denoising and envelope analysis are carried out on the vibration signals through a processing terminal, and time information of vibration event change is extracted;
s4, displaying the key current and time information in a waveform form, and displaying the time information of the vibration event change in the waveform form;
And S5, judging whether the time when the key current and the vibration event change occur is the same, if so, judging that the switch is operated at the moment, otherwise, judging that the switch is not operated at the moment.
The specific method of step S1 is: the vibration sensor is used for collecting vibration signals when the switch cabinet acts, and the Hall sensor is used for collecting opening and closing coil currents when the circuit breaker acts, so that vibration signals and current data are obtained.
the specific method of step S2 is: the A/D data acquisition card is used for acquiring and converting the acquired vibration signals and current data, and the wireless communication module is used for sending the converted signals to the processing terminal. The wireless communication module is a Zigbee communication module. The processing terminal is an industrial personal computer.
in an embodiment of the invention, a vibration sensor is adopted to collect vibration signals when the switch cabinet acts, a Hall sensor is adopted to collect opening and closing coil currents when the circuit breaker acts, an A/D data acquisition card is used to collect sensor data, and meanwhile, a Zigbee-based wireless communication module is adopted to establish a wireless network between each acquisition unit and a field data processing terminal. The data are sent to a field data processing terminal from the acquisition unit, the field data processing terminal is realized by adopting an industrial personal computer, data processing software is installed, wavelet change and other operations can be carried out on the acquired data, and the mechanical characteristic oscillogram can be drawn and stored and the like based on the acquired data.
In conclusion, the invention adopts the multiple sensors to sense the mechanical characteristics of the sensors, and the signals sensed by the sensors and the mechanical characteristics can be compared, so that the error caused by single detection is avoided. Various detection devices used in the method can continuously run only after being installed once, and a maintainer only needs to check the field processing terminal to obtain the mechanical characteristic condition of the switch cabinet in required time during each action, so that the operation is simple and convenient. The method can realize real-time continuous detection of the mechanical characteristics of the 10kV metal closed type switch equipment, and avoids the problem that the actual mechanical characteristics cannot be mastered due to detection only when power failure maintenance is carried out.

Claims (5)

1. An online detection method for mechanical characteristics of metal-enclosed switchgear is characterized by comprising the following steps:
S1, collecting vibration signals when the switch cabinet acts, and collecting current data of the opening and closing coil when the circuit breaker acts;
S2, sending the acquired vibration signals and current data to a processing terminal;
s3, performing wavelet denoising on current data through a processing terminal, and extracting key current and time information; wavelet denoising and envelope analysis are carried out on the vibration signals through a processing terminal, and time information of vibration event change is extracted;
S4, displaying the key current and time information in a waveform form, and displaying the time information of the vibration event change in the waveform form;
and S5, judging whether the time when the key current and the vibration event change occur is the same, if so, judging that the switch is operated at the moment, otherwise, judging that the switch is not operated at the moment.
2. the method for detecting mechanical characteristics of metal-enclosed switchgear on line as claimed in claim 1, wherein the specific method of step S1 is:
The vibration sensor is used for collecting vibration signals when the switch cabinet acts, and the Hall sensor is used for collecting opening and closing coil currents when the circuit breaker acts, so that vibration signals and current data are obtained.
3. the method for detecting mechanical characteristics of metal-enclosed switchgear on line as claimed in claim 1, wherein the specific method of step S2 is:
The A/D data acquisition card is used for acquiring and converting the acquired vibration signals and current data, and the wireless communication module is used for sending the converted signals to the processing terminal.
4. The metal-enclosed switchgear mechanical property online detection method of claim 3, wherein the wireless communication module is a Zigbee communication module.
5. The metal-enclosed switchgear mechanical property online detection method according to claim 1, wherein the processing terminal is an industrial personal computer.
CN201910917638.4A 2019-09-26 2019-09-26 Online detection method for mechanical characteristics of metal-enclosed switchgear Active CN110553830B (en)

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Application Number Priority Date Filing Date Title
CN201910917638.4A CN110553830B (en) 2019-09-26 2019-09-26 Online detection method for mechanical characteristics of metal-enclosed switchgear

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Application Number Priority Date Filing Date Title
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CN110553830B CN110553830B (en) 2021-07-20

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106482937A (en) * 2016-09-30 2017-03-08 南方电网科学研究院有限责任公司 A kind of monitoring method of mechanical state of high-voltage circuit breaker
CN107329079A (en) * 2017-07-28 2017-11-07 河海大学 A kind of primary cut-out on-line monitoring and synthetic fault diagnosis system
CN107450017A (en) * 2017-08-04 2017-12-08 内蒙古电力(集团)有限责任公司包头供电局 A kind of switchgear defect intelligent checking system
CN109061463A (en) * 2018-09-29 2018-12-21 华南理工大学 A kind of monitoring of mechanical state of high-voltage circuit breaker and method for diagnosing faults
CN109188258A (en) * 2018-07-17 2019-01-11 国网浙江省电力有限公司检修分公司 The high-voltage circuitbreaker feature extraction and classification method being electrically coupled based on vibration

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106482937A (en) * 2016-09-30 2017-03-08 南方电网科学研究院有限责任公司 A kind of monitoring method of mechanical state of high-voltage circuit breaker
CN107329079A (en) * 2017-07-28 2017-11-07 河海大学 A kind of primary cut-out on-line monitoring and synthetic fault diagnosis system
CN107450017A (en) * 2017-08-04 2017-12-08 内蒙古电力(集团)有限责任公司包头供电局 A kind of switchgear defect intelligent checking system
CN109188258A (en) * 2018-07-17 2019-01-11 国网浙江省电力有限公司检修分公司 The high-voltage circuitbreaker feature extraction and classification method being electrically coupled based on vibration
CN109061463A (en) * 2018-09-29 2018-12-21 华南理工大学 A kind of monitoring of mechanical state of high-voltage circuit breaker and method for diagnosing faults

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