CN112363030A - Low-voltage bus duct insulation detection method in running state - Google Patents
Low-voltage bus duct insulation detection method in running state Download PDFInfo
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- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 2
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- 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
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
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Abstract
The invention discloses a low-voltage bus duct insulation detection method in an operating state, which relates to the field of bus ducts, wherein bus duct insulation detection comprises self-detection of an electromagnetic wave sensor and an electromagnetic wave detection instrument; background detection, interference analysis and interference positioning; collecting bus duct insulation detection data by using an electromagnetic wave sensor; recording data and analyzing the electromagnetic wave detection data; positioning a fault source by utilizing electromagnetic wave detection data; data management and database statistics. The invention can more timely and accurately detect the insulation condition of the bus duct joint or the jack box position, and can more comprehensively and accurately track the operation condition of the bus duct, thereby improving the operation safety of the bus duct.
Description
Technical Field
The invention relates to the field of bus ducts, in particular to a low-voltage bus duct insulation detection method in an operating state.
Background
The bus duct is a closed metal device formed from copper and aluminium bus posts, and is used for distributing large power for every element of dispersion system. Wire and cable have been increasingly replaced in indoor low voltage power transmission mains engineering projects. Nowadays, the wiring system is indispensable for electrical equipment and power systems in high-rise buildings, factories, and the like. Because of the need of various building electric power of buildings, factories and the like, and the need tends to increase year by year, the original circuit wiring mode, namely the pipe penetrating mode, brings a lot of difficulties in construction, and when a power distribution system needs to be changed, the simplification is almost impossible, however, if the bus duct is adopted, the purpose can be achieved very easily, and in addition, the building can become more beautiful.
For the bus duct, the most important characteristic is to meet the reliability of a transmission system, and the most important index of the reaction reliability is to meet the temperature rise state of the bus duct in transmitting strong current. Because the current that low pressure bus duct usually passes through under the operating condition is great, and is different from several hundred amperes to several thousand amperes quantity, if there is contact failure in the joint department, all will arouse the increase of bus duct junction resistance during ageing, lead to the contact point to appear obvious temperature rise, in case the temperature rise exceeds the specified value, easily arouse the conflagration, cause great loss. Therefore, operation and maintenance personnel usually use the infrared point heat gun to detect the temperature of the bus duct joint so as to find out the possible situations such as poor joint contact. The existing detection method can only detect the surface temperature of the bus duct generally, has low detection precision and is easy to generate hysteresis, and no good method is available for detecting the insulation condition of the bus duct joint or the plug box.
Therefore, a person skilled in the art is dedicated to develop a method for detecting the insulation of a low-voltage bus duct in an operating state, and the method can accurately detect the insulation of a bus duct joint or a plug box in time, so that the operating safety of the bus duct is improved.
Disclosure of Invention
In view of the above defects in the prior art, the technical problem to be solved by the present invention is that the insulation detection method for a low-voltage bus duct in an existing operating state can only detect the temperature on the surface of the bus duct, and has the problems of low detection accuracy, delay, etc.
In order to achieve the purpose, the invention provides a method for detecting the insulation of a low-voltage bus duct in an operating state, namely, the method for detecting the insulation of the joint or a plug box of the low-voltage bus duct in the operating state is used for detecting the insulation of the joint or the plug box of the low-voltage bus duct in the operating state by using an electromagnetic wave detection technology.
The electromagnetic wave detection principle is as follows: when insulation in the bus duct is defective, partial discharge is generated, the most direct phenomenon of the partial discharge is that electric charge between electrodes moves, and each partial discharge is accompanied by a certain amount of electric charge to pass through a dielectric medium, so that voltage change on an external electrode of a sample is caused. In addition, each discharge process is short in duration, with one discharge process in the air gap on the order of 10 ns. According to the Maxwell electromagnetic theory, high-frequency electromagnetic signals generated by the short-duration discharge pulses radiate outwards and are transmitted to the outer surface of the bus duct at the metal disconnection or insulation connection position, and the electromagnetic wave signals can be received by the electromagnetic wave sensor, so that the detection of the partial discharge phenomenon is realized.
The method specifically comprises the following steps:
the method comprises the following steps: self-checking of an electromagnetic wave sensor and an electromagnetic wave detection instrument;
step two: background detection, interference analysis and interference positioning;
step three: collecting bus duct insulation detection data by using an electromagnetic wave sensor;
step four: recording data and analyzing the electromagnetic wave detection data;
step five: positioning a fault source by utilizing electromagnetic wave detection data;
step six: data management and database statistics.
Furthermore, in the first step, the electromagnetic wave sensor and the electromagnetic wave detecting apparatus are used for detecting an electromagnetic wave signal source, such as a mobile phone signal, by the electromagnetic wave sensor and the electromagnetic wave detecting apparatus, and if the detection signal is a periodic square wave signal and the detection data amplitude reaches more than half of the range of the electromagnetic wave sensor channel, the electromagnetic wave sensor and the electromagnetic wave detecting apparatus are normal; if the signals cannot be detected or are weak, the self-checking is unqualified, whether the electromagnetic wave sensor connector is screwed down, whether the coaxial cable connector is damaged or not and whether the channel of the electromagnetic wave detection instrument fails or not are checked until the root cause of the problem is found, and the electromagnetic wave sensor and the electromagnetic wave detection instrument can work normally.
Further, in the second step, the background detection method includes that the electromagnetic wave sensor surrounds the area near the bus duct to be detected, and the signal change condition of the electromagnetic wave sensor is observed and recorded.
If an obvious interference signal is detected, the typical atlas of the electromagnetic wave interference signal is used for comparative analysis, the type of the interference is judged, and the interference source is closed under the condition.
The electromagnetic wave interference signal and the influence caused by the interference of the electromagnetic wave sensor are generally as follows:
(1) the electromagnetic wave test value is abnormally large when the electromagnetic wave test device is close to electronic equipment such as some fluorescent lamps, gas discharge lamps, fans, current screens and the like.
(2) Electromagnetic wave signals are abnormally large due to poor contact among mobile phone signals, flickering fluorescent lamps, rectifier elements in certain production equipment and certain electrical equipment.
Processing the field electromagnetic wave interference signal:
(1) and turning off interference sources such as indoor exhaust fans, fluorescent lamps and the like. And when the detection is carried out, the mobile phone is turned off, or the flying mode is set.
(2) Different time periods were used for the tests.
(3) Avoid interfering signals from radios and other electronic devices.
(4) And the signal source position is judged by comparing with the background signal to realize the positioning of the interference.
(5) Whether the interference exists is judged according to parameters such as waveform and frequency of the interference signal.
The specific method for judging whether the electromagnetic wave partial discharge signal comes from the inside of the bus duct or the outside of the bus duct is to compare bus duct insulation detection data with background noise amplitude, and if the two groups of data are similar and the bus duct insulation detection data are larger, the electromagnetic wave partial discharge signal is considered to come from the inside of the bus duct; otherwise, the partial discharge signal is considered to be originated from the external interference of the bus duct.
Further, in the third step, the threshold of the electromagnetic wave sensor channel is adjusted to just cover the background noise amplitude before detecting the insulation performance of the bus duct, the background noise amplitude accounts for 10% of the range of the electromagnetic wave sensor channel, if the background noise is very large, the threshold does not need to be adjusted to a very large position, because when the threshold is too large, the electromagnetic wave partial discharge signal and the background noise are simultaneously filtered, and the detection is not facilitated.
Furthermore, in the third step, when the antenna of the electromagnetic wave sensor is aligned to the position of the bus duct joint or the position of the jack box for detecting the insulation performance, the electromagnetic wave sensor is required to be close to the insulation connection position of the bus duct joint or the gap of the jack box. The electromagnetic wave sensor is prevented from being attached to a metal surface, otherwise, the electromagnetic wave sensor can be interfered by traveling waves on the surface of a metal shell, and therefore partial discharge signals inside the bus duct cannot be detected.
During insulation detection, a local discharge value may fluctuate, so that the electromagnetic wave sensor needs to be placed at a detection point, a bus duct joint or a plug box, and data is read after a signal is stable, or an average value of a fluctuation range is read.
Aiming at a bus duct with higher installation, an insulating ladder is adopted or an electromagnetic wave sensor is tied on an insulating rod and is aligned to a bus duct joint insulating joint or a jack box gap, and because metal has a shielding effect on electromagnetic waves, partial discharge signals can only be transmitted to the outside along the bus duct joint insulating joint or the jack box gap to be detected.
When the insulating rod is used for detection, the electromagnetic wave sensor is firmly adhered to the insulating rod, the coaxial cable connector needs to be screwed, the firmness of the electromagnetic wave sensor is checked at any time, and the falling is prevented.
During the testing process, special events, changes in load, or changes in climate conditions should be observed and recorded.
Furthermore, in the fourth step, before recording the collected bus duct insulation detection data, the positions of the detection points, bus duct joints or a plug-in box need to be numbered, then the detection data and the numbers are recorded on recording paper, the detection data and the numbers correspond to each other one by one, and the positions of the detection points, the wall penetrating positions near the positions of the bus duct joints or the plug-in box, the positions of corners and the like need to be marked on the recording paper. And then comparing the bus duct insulation detection data with the electromagnetic wave partial discharge typical map to judge the fault type.
Further, in the process of the step five, when there is an electromagnetic wave partial discharge signal in the detected bus duct, the fault source needs to be located.
The electromagnetic wave partial discharge signal positioning comprises two methods, namely an amplitude positioning method and a bisection plane method;
the amplitude positioning method is characterized in that the two electromagnetic wave sensors are placed at different positions for detection, the amplitude of electromagnetic wave signals at different positions is compared, and the position of a fault source is approximately in the area near a detection point with the maximum amplitude of the electromagnetic wave signals. The amplitude positioning method can be carried out in the inspection process, and the approximate region of the fault source is preliminarily judged.
The bisection plane method is suitable for the situation that partial discharge signals of electromagnetic waves can be detected in a large area, firstly, a fault source is roughly positioned, firstly, one direction is selected, the positions of an electromagnetic wave sensor A and an electromagnetic wave sensor B are adjusted until the time difference between the signals of the two electromagnetic wave sensors is zero, namely the two signals arrive at the same time, and the fault source is shown to be on a bisection plane P1 with A, B points; changing one direction to perform the same measurement to obtain another bisecting plane P2; the method can obtain a third bisection plane P3, the three bisection planes are intersected at one point, and the position of a fault source in the three-dimensional space can be determined through three measurements. The bisection plane method can be positioned to a specific bus duct joint or a plug box connecting position.
Generally, the electromagnetic wave partial discharge signal of the bus duct is weak, and if a strong signal is detected, external interference is mostly adopted, and the interference is generally adopted by fans, fluorescent lamps, production equipment and the like.
For devices with significant partial discharge characteristics, a retest is arranged.
If a suspected partial discharge signal or other signals which cannot be accurately judged are detected, data are measured for at least 3 times, a condition explanation is made on recording paper, a surrounding environment waveform is stored, marked, photographed and stored on site.
Observing electromagnetic wave detection data of all electrical equipment near a fault source, marking electromagnetic wave data abnormal points on a bus duct wiring diagram on recording paper, marking delta as a suspected signal, and marking delta as a determined partial discharge signal.
Furthermore, in the sixth step, the bus duct insulation detection data detected by the electromagnetic wave detection instrument is objectively and faithfully recorded on the recording paper, so that the running condition of the bus duct can be more comprehensively and accurately tracked.
The method comprises the steps of establishing a detailed switching equipment account for bus duct insulation detection data, establishing a corresponding relation between partial discharge detection data and detection object attributes, and comprehensively analyzing the detection data by using various analysis methods such as statistics, trends, transverse and threshold values to guide bus duct electromagnetic wave partial discharge detection and fault diagnosis, so that accurate evaluation of bus duct operation performance can be realized.
Advantageous effects
(1) The bus duct insulation detection data detected by the electromagnetic wave detection instrument are objectively and faithfully recorded on the recording paper, so that the running condition of the bus duct can be more comprehensively and accurately tracked.
(2) The method comprises the steps of establishing a detailed switching equipment account for bus duct insulation detection data, establishing a corresponding relation between partial discharge detection data and detection object attributes, and comprehensively analyzing the detection data by using various analysis methods such as statistics, trends, transverse and threshold values to guide bus duct electromagnetic wave partial discharge detection and fault diagnosis, so that accurate evaluation of bus duct operation performance can be realized.
(3) The insulation condition of the bus duct joint or the insulation condition inside the jack box can be detected more timely and accurately by an electromagnetic wave detection technology, so that the operation safety of the bus duct is improved.
The conception, the specific structure and the technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, the features and the effects of the present invention.
Drawings
FIG. 1 is a schematic illustration of a bisecting plane process;
FIG. 2 is a typical map of an electromagnetic interference signal;
FIG. 3 is a typical map of partial discharge of electromagnetic waves;
FIG. 4 is insulation detection data at the junction of the first bus duct 14# in the first embodiment;
FIG. 5 is insulation detection data at the junction of the first bus duct 31# in the first embodiment;
FIG. 6 is an actual state at the junction of the first bus duct 14# in the first embodiment;
fig. 7 shows an actual state at the junction of the bus duct 31# in the first embodiment.
The typical map in the figure has phase on the X-axis, discharge amplitude on the Y-axis, and period on the Z-axis.
Detailed Description
The technical contents of the preferred embodiments of the present invention will be more clearly and easily understood by referring to the drawings attached to the specification. The present invention may be embodied in many different forms of embodiments and the scope of the invention is not limited to the embodiments set forth herein.
In the drawings, structurally identical elements are represented by like reference numerals, and structurally or functionally similar elements are represented by like reference numerals throughout the several views. The size and thickness of each component shown in the drawings are arbitrarily illustrated, and the present invention is not limited to the size and thickness of each component. The thickness of the components may be exaggerated where appropriate in the figures to improve clarity.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
The electromagnetic wave detection principle is as follows: when insulation in the bus duct is defective, partial discharge is generated, the most direct phenomenon of the partial discharge is that electric charge between electrodes moves, and each partial discharge is accompanied by a certain amount of electric charge to pass through a dielectric medium, so that voltage change on an external electrode of a sample is caused. In addition, each discharge process is short in duration, with one discharge process in the air gap on the order of 10 ns. According to the Maxwell electromagnetic theory, high-frequency electromagnetic signals generated by the short-duration discharge pulses radiate outwards and are transmitted to the outer surface of the bus duct at the metal disconnection or insulation connection position, and the electromagnetic wave signals can be received by the electromagnetic wave sensor, so that the detection of the partial discharge phenomenon is realized.
The electromagnetic wave detection technology comprises the following steps:
the method comprises the following steps: self-checking of an electromagnetic wave sensor and an electromagnetic wave detection instrument;
the self-checking method of the electromagnetic wave sensor and the electromagnetic wave detecting instrument is characterized in that the electromagnetic wave sensor and the electromagnetic wave detecting instrument detect mobile phone signals, and if the detection signals are periodic square wave signals and the amplitude of detection data reaches more than half of the range of a channel of the electromagnetic wave sensor, the electromagnetic wave sensor and the electromagnetic wave detecting instrument are normal; if the signal cannot be detected or is weak, the self-checking is unqualified, whether the connector of the electromagnetic wave sensor is screwed down, whether the coaxial cable connector is damaged or not and whether the channel of the electromagnetic wave detection instrument fails or not are checked until the root cause of the problem is found, and the electromagnetic wave sensor and the electromagnetic wave detection instrument can work normally.
Step two: background detection, interference analysis and interference positioning;
the background detection method is that the electromagnetic wave sensor surrounds the area near the bus duct to be detected, and the signal change condition of the electromagnetic wave sensor is observed and recorded.
If an obvious interference signal is detected, the typical atlas of the electromagnetic wave interference signal is used for comparative analysis, the type of the interference is judged, and the interference source is closed under the condition.
The electromagnetic wave interference signal of the electromagnetic wave sensor and the influence caused by the interference are generally:
(1) the electromagnetic wave test value is abnormally large when the electromagnetic wave test device is close to electronic equipment such as some fluorescent lamps, gas discharge lamps, fans, current screens and the like.
(2) Electromagnetic wave signals are abnormally large due to poor contact among mobile phone signals, flickering fluorescent lamps, rectifier elements in certain production equipment and certain electrical equipment.
Processing the field electromagnetic wave interference signal:
(1) and turning off interference sources such as indoor exhaust fans, fluorescent lamps and the like. And when the detection is carried out, the mobile phone is turned off, or the flying mode is set.
(2) Different time periods were used for the tests.
(3) Avoid interfering signals from radios and other electronic devices.
(4) And the signal source position is judged by comparing with the background signal to realize the positioning of the interference.
(5) Whether the interference exists is judged according to parameters such as waveform and frequency of the interference signal.
The specific method for judging whether the electromagnetic wave partial discharge signal comes from the inside of the bus duct or the outside of the bus duct is to compare bus duct insulation detection data with background noise amplitude, and if the two groups of data are similar and the bus duct insulation detection data are larger, the electromagnetic wave partial discharge signal is considered to come from the inside of the bus duct; otherwise, the partial discharge signal is considered to be originated from the external interference of the bus duct.
Step three: collecting bus duct insulation detection data by using an electromagnetic wave sensor;
the threshold value of the electromagnetic wave sensor channel is adjusted to just cover the background noise amplitude value before the insulation performance of the bus duct is detected, the background noise amplitude value accounts for 10% of the measuring range of the electromagnetic wave sensor channel, if the background noise is very large, the threshold value does not need to be adjusted to a very large position, and when the threshold value is too large, the electromagnetic wave partial discharge signal and the background noise are simultaneously filtered, so that the detection is not facilitated.
When the electromagnetic wave sensor antenna is aligned to the bus duct joint or the jack box position for insulation performance detection, the electromagnetic wave sensor is close to the bus duct joint insulation connection position or the jack box gap. The electromagnetic wave sensor is prevented from being attached to a metal surface, otherwise, the electromagnetic wave sensor can be interfered by traveling waves on the surface of a metal shell, and therefore partial discharge signals inside the bus duct cannot be detected.
During detection, the local discharge value may fluctuate, so that the electromagnetic wave sensor needs to be placed at a detection point, a bus duct joint or a plug box, and data is read after a signal is stable, or an average value of a fluctuation range is read.
Aiming at a bus duct with higher installation, an insulating ladder is adopted or an electromagnetic wave sensor is tied on an insulating rod and is aligned to a bus duct joint insulating joint or a jack box gap, and because metal has a shielding effect on electromagnetic waves, partial discharge signals can only be transmitted to the outside along the bus duct joint insulating joint or the jack box gap to be detected.
When the insulating rod is used for detection, the electromagnetic wave sensor is firmly adhered to the insulating rod, the coaxial cable connector needs to be screwed, the firmness of the electromagnetic wave sensor is checked at any time, and the falling is prevented.
During the testing process, special events, changes in load, or changes in climate conditions should be observed and recorded.
Step four: recording data and analyzing the electromagnetic wave detection data;
before recording collected bus duct insulation detection data, numbering detection points, bus duct joints or plug box positions, recording the detection data and the numbers on recording paper, wherein the detection data correspond to the numbers one by one, and marking the positions of the detection points, the bus duct joints or the plug box positions near through walls, corners and the like. And then comparing the bus duct insulation detection data with the electromagnetic wave partial discharge typical map to judge the fault type.
Step five: positioning a fault source by utilizing electromagnetic wave detection data;
when an obvious electromagnetic wave partial discharge signal exists in the bus duct to be detected, a fault source needs to be positioned.
The electromagnetic wave partial discharge signal positioning comprises two methods, namely an amplitude positioning method and a bisection plane method;
the amplitude positioning method is to place two electromagnetic wave sensors at different positions for detection, compare the amplitude of electromagnetic wave signals at different positions, and the position of a fault source is approximately in the area near the detection point of the electromagnetic wave signal with the maximum amplitude. The amplitude positioning method can be carried out in the routing inspection process, and the approximate region of the fault source is preliminarily judged.
The bisection plane method is suitable for the situation that the partial discharge signals of the electromagnetic waves can be detected in a large area, firstly, a fault source is roughly positioned, firstly, one direction is selected, the positions of the electromagnetic wave sensors A and B are adjusted until the time difference between the signals of the two electromagnetic wave sensors is zero, namely, the two signals arrive at the same time, and the fault source is shown to be on a bisection plane P1 with A, B points; changing one direction to perform the same measurement to obtain another bisecting plane P2; the method can obtain a third bisection plane P3, the three bisection planes are intersected at one point, and the position of a fault source in the three-dimensional space can be determined through three measurements. The bisection plane method can be positioned to a specific bus duct joint or a plug box connecting position.
Generally, the electromagnetic wave partial discharge signal of the bus duct is weak, and if a strong signal is detected, external interference is mostly adopted, and the interference is generally adopted by fans, fluorescent lamps, production equipment and the like.
For devices with significant partial discharge characteristics, a retest is arranged.
If a suspected partial discharge signal or other signals which cannot be accurately judged are detected, data are measured for at least 3 times, a condition explanation is made on recording paper, a surrounding environment waveform is stored, marked, photographed and stored on site.
Observing electromagnetic wave detection data of all electrical equipment near a fault source, marking electromagnetic wave data abnormal points on a bus duct wiring diagram on recording paper, marking delta as a suspected signal, and marking delta as a determined partial discharge signal.
Step six: data management and database statistics.
The bus duct insulation detection data detected by the electromagnetic wave detection instrument are objectively and faithfully recorded on the recording paper, so that the running condition of the bus duct can be more comprehensively and accurately tracked.
The method comprises the steps of establishing a detailed switching equipment account for bus duct insulation detection data, establishing a corresponding relation between partial discharge detection data and detection object attributes, and comprehensively analyzing the detection data by using various analysis methods such as statistics, trends, transverse and threshold values to guide bus duct electromagnetic wave partial discharge detection and fault diagnosis, so that accurate evaluation of bus duct operation performance can be realized.
The first embodiment is as follows:
in 2019, 18 months, 2, when a detector performs bus duct live-line detection work in N three buildings of a certain packaging limited company, the detector finds that a local discharge characteristic signal with obvious ultrahigh frequency electromagnetic waves (UHF) is detected at the joint of the 220V2000AN002 bus duct 14# of the N three buildings, insulation detection data are shown in AN attached figure 4, and the insulation detection data at the joint of the bus duct 14# are compared with AN electromagnetic wave local discharge typical map to judge that the fault type is possibly AN insulation fault in the joint.
Detection personnel also detect obvious partial discharge characteristic signals of ultrahigh frequency electromagnetic waves (UHF) at the joint of the 220V2000AN002 bus duct 31# of the N-span three-storied building, AN insulation detection data map is shown in figure 5, insulation detection data at the joint of the bus duct 31# are compared with AN electromagnetic wave partial discharge typical map, and the fault type is judged to be surface discharge possibly caused by dust.
And (3) performing power failure maintenance on the 220V2000AN002 bus duct of the N-storied third-building by field operation and maintenance personnel from 4 month to 5 month in 2019, and finding out that the two ends of the copper plate at the 14# joint are asymmetrically pressed and pressed after the cover is opened and that the dust accumulation in the 31# joint is in one-to-one correspondence with the detection result, wherein the actual state of the 14# joint of the bus duct is shown in figure 6, and the actual state of the 31# joint of the bus duct is shown in figure 7.
Claims (9)
1. A low-voltage bus duct insulation detection method in an operation state is characterized in that an electromagnetic wave detection technology is utilized to perform insulation detection on the position of a low-voltage bus duct joint or a jack box in the operation state;
the method specifically comprises the following steps:
the method comprises the following steps: self-checking of an electromagnetic wave sensor and an electromagnetic wave detection instrument;
step two: background detection, interference analysis and interference positioning;
step three: collecting bus duct insulation detection data by using an electromagnetic wave sensor;
step four: recording data and analyzing the electromagnetic wave detection data;
step five: positioning a fault source by utilizing electromagnetic wave detection data;
step six: data management and database statistics.
2. The method for detecting the insulation of the low-voltage bus duct in the running state according to claim 1, wherein the electromagnetic wave sensor and the electromagnetic wave detecting instrument perform self-detection by detecting a mobile phone signal through the electromagnetic wave sensor and the electromagnetic wave detecting instrument, and if the detection signal is a periodic square wave signal and the amplitude of the detection data reaches more than half of the range of a channel of the electromagnetic wave sensor, the electromagnetic wave sensor and the electromagnetic wave detecting instrument are normal; otherwise, the self-checking is unqualified, whether the connector of the electromagnetic wave sensor is screwed down, whether the coaxial cable connector is damaged or not and whether the channel of the electromagnetic wave detection instrument fails or not are checked until the source of the problem is found, and the electromagnetic wave sensor and the electromagnetic wave detection instrument can work normally.
3. The low-voltage bus duct insulation detection method in the operating state according to claim 1, wherein the background detection method comprises the steps of surrounding an electromagnetic wave sensor around an area near a bus duct to be detected, observing and recording signal change conditions of the electromagnetic wave sensor; if the interference signal is detected, the typical atlas of the electromagnetic wave interference signal is used for carrying out comparative analysis, the type of the interference is judged, and the interference source is closed.
4. The method for detecting the insulation of the low-voltage bus duct in the operating state according to claim 1, wherein the threshold value of the channel of the electromagnetic wave sensor is adjusted to just cover the amplitude of background noise which accounts for 10% of the range of the channel of the electromagnetic wave sensor before the insulation of the bus duct is detected.
5. The low-voltage bus duct insulation detection method in the operating state according to claim 1, wherein when the electromagnetic wave sensor antenna is aligned with a bus duct joint or a plug box position for insulation detection, the electromagnetic wave sensor is close to the bus duct joint insulation connection position or the plug box gap, and data is read after signals are stable.
6. The method for detecting the insulation of the low-voltage bus duct in the running state according to claim 1, wherein before the collected bus duct insulation detection data are recorded, the positions of bus duct joints or a plug box need to be numbered, then the detection data and the numbers are recorded on recording paper, the detection data correspond to the numbers one to one, and wall penetrating and corner positions near the positions of the bus duct joints or the plug box need to be marked on the recording paper.
7. The low-voltage bus duct insulation detection method in the operating state according to claim 1, wherein the electromagnetic wave detection data are analyzed by comparing the bus duct insulation detection data with an electromagnetic wave partial discharge typical map to judge the fault type.
8. The low-voltage bus duct insulation detection method in the operating state according to claim 1, wherein when an electromagnetic wave partial discharge signal exists in the detected bus duct, a fault source is located by using an amplitude locating method and a plane splitting method.
9. The low-voltage bus duct insulation detection method in the running state according to claim 1, characterized in that the running condition of the bus duct is tracked by recording bus duct insulation detection data detected by an electromagnetic wave detection instrument on recording paper;
a switchgear account is established for the bus duct insulation detection data, a corresponding relation between the partial discharge detection data and the attributes of the detection objects is established, the detection data are comprehensively analyzed by using analysis methods of statistics, trends, transverse directions and threshold values, the bus duct electromagnetic wave partial discharge detection and fault diagnosis are guided, and the accurate evaluation of the bus duct operation performance is realized.
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| CN202011200553.3A CN112363030A (en) | 2020-10-30 | 2020-10-30 | Low-voltage bus duct insulation detection method in running state |
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