CN115078925A - AI partial discharge intelligent identification method - Google Patents
AI partial discharge intelligent identification method Download PDFInfo
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- CN115078925A CN115078925A CN202210644008.6A CN202210644008A CN115078925A CN 115078925 A CN115078925 A CN 115078925A CN 202210644008 A CN202210644008 A CN 202210644008A CN 115078925 A CN115078925 A CN 115078925A
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- Prior art keywords
- rack
- thermal imaging
- infrared thermal
- imaging probe
- partial discharge
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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
- G01R31/12—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
- G01R31/1227—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 of components, parts or materials
- G01R31/1254—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 of components, parts or materials of gas-insulated power appliances or vacuum gaps
-
- 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
- G01R31/12—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
- G01R31/1218—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 using optical methods; using charged particle, e.g. electron, beams or X-rays
-
- 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
- G01R31/327—Testing of circuit interrupters, switches or circuit-breakers
- G01R31/3271—Testing of circuit interrupters, switches or circuit-breakers of high voltage or medium voltage devices
- G01R31/3275—Fault detection or status indication
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- General Physics & Mathematics (AREA)
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Abstract
The invention discloses an AI partial discharge intelligent identification method, which is characterized in that a high-frequency intelligent identification instrument and an infrared thermal imaging probe are carried by a frame and run in a workshop; and detecting the fault of the working equipment by adopting a polling mode. Not only can realize carrying out intelligent recognition to a large amount of GIS equipment in the workshop and survey, and effectively improve the work efficiency that intelligent recognition surveyed.
Description
Technical Field
The invention relates to the technical field of intelligent recognition of partial discharge, in particular to an AI high-frequency intelligent recognition method.
Background
The GIS is abbreviated as English and is an abbreviation of a gas insulated fully-closed combined electrical appliance, and SF6 insulating gas with certain pressure is filled in the GIS.
GIS equipment is widely applied in the fields of high voltage and ultrahigh voltage, particularly the field of ultrahigh voltage.
In order to ensure the normal work of the GIS equipment, fault identification is often required to be carried out on the GIS equipment; adopt GIS partial discharge high frequency intelligence recognition device to detect among the prior art, however, to the intensive application scenario of a large amount of equipment, detection efficiency is comparatively low because the prior art can't carry out accurate discernment in short time to high density, a large amount of equipment trouble.
Disclosure of Invention
The invention provides an AI partial discharge high-frequency intelligent identification method, which aims to solve the problems.
The invention solves the technical problems through the following technical scheme:
an AI partial discharge high-frequency intelligent identification method adopts a polling mode to detect equipment faults, a positioning component of a high-frequency intelligent identification instrument is arranged on a rack, one side of the rack is provided with a driving roller component, and the opposite side of the rack is provided with a roller to drive the high-frequency intelligent identification instrument to follow the rack to run in a workshop;
the rack is provided with a mounting plate, and the top of the mounting plate is provided with a connecting rod;
a plurality of infrared thermal imaging probe passes through the rotary rod and the connecting rod rotates the connection to with imaging probe setting in the frame.
And (3) turning on the power input motor to drive the whole device to run in a workshop, wherein in the process, the infrared thermal imaging probe 43 images the working equipment, the infrared thermal imaging probe 43 thermally images the GIS equipment through infrared thermal imaging, and the GIS equipment penetrates through a working circuit in the sealed equipment to detect whether a physical fault exists.
Preferably, the top of the connecting rod is in threaded connection with an extrusion bolt, and the extrusion bolt extrudes on the rotating rod. The angle of the rotating rod 42 is adjusted by loosening the pressing bolt 411, thereby achieving the angle adjustment of the infrared thermal imaging probe 43.
Furthermore, a plurality of connecting plates are arranged on the rack, and the driving gear box body is fixedly connected to the inner side wall of the rack through the connecting plates. The driving gear box body is connected with a power input motor and is assembled on a driving shaft.
A driving shaft 21 is rotatably connected to the rear side of the traveling frame 1, and rolling wheels 22 are fixedly connected to the front end and the rear end of the driving shaft 21; the front end and the rear end of the left side of the frame 1 are both rotatably connected with rollers 24.
Compared with the prior art, the invention has the following advantages:
the invention discloses an AI partial discharge intelligent identification method, which is characterized in that a traveling frame is designed to run in a workshop, and a high-frequency intelligent identification instrument and an infrared thermal imaging probe are carried; and detecting the fault of the working equipment by adopting a polling mode. Not only can realize carrying out intelligent recognition to a large amount of GIS equipment in the workshop and survey, and above-mentioned device component design has effectively improved intelligent recognition and has surveyed work efficiency.
Drawings
FIG. 1 is a schematic diagram of the overall structure of an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a limiting plate body in the embodiment of the invention;
FIG. 3 is a schematic view of a connection relationship between a rotating rod and an infrared thermal imaging probe according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of an image pickup unit according to an embodiment of the present invention;
FIG. 5 is a top view of the embodiment of the present invention shown in FIG. 1;
FIG. 6 is a front view of the embodiment of the present invention in FIG. 1;
fig. 7 is a right side view of the embodiment of the present invention shown in fig. 1.
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
As shown in the figures 1-7 of the drawings,
an AI partial discharge high-frequency intelligent identification method adopts a polling mode to detect equipment faults, a positioning component of a high-frequency intelligent identification instrument is arranged on a rack, a driving roller component is assembled on one side of the rack, and rollers are assembled on the opposite side of the rack to drive the high-frequency intelligent identification instrument to operate in a workshop along with the rack;
the rack is provided with a mounting plate, and the top of the mounting plate is provided with a connecting rod;
a plurality of infrared thermal imaging probe passes through the rotary rod and the connecting rod rotates the connection to with imaging probe setting in the frame.
And (3) turning on a power input motor, obtaining power by the whole device at the moment, driving the whole device to run in a workshop, imaging the working equipment by the infrared thermal imaging probe 43 in the process, thermally imaging the GIS equipment by the infrared thermal imaging probe 43 through infrared thermal imaging, and detecting whether a physical fault exists or not by penetrating through a working circuit in the sealed equipment.
Preferably, the top of the connecting rod is in threaded connection with an extrusion bolt, and the extrusion bolt extrudes on the rotating rod. The angle of the rotating rod 42 is adjusted by loosening the pressing bolt 411, thereby achieving the angle adjustment of the infrared thermal imaging probe 43.
Furthermore, a plurality of connecting plates are arranged on the rack, and the driving gear box body is fixedly connected to the inner side wall of the rack through the connecting plates. The driving gear box body is connected with a power input motor and is assembled on a driving shaft.
A driving shaft 21 is rotatably connected to the rear side of the traveling frame 1, and rolling wheels 22 are fixedly connected to the front end and the rear end of the driving shaft 21; the front end and the rear end of the left side of the frame 1 are both rotatably connected with rollers 24.
The invention also discloses a GIS partial discharge high-frequency intelligent recognition device based on AI edge calculation, which comprises a traveling rack 1 (the transverse section of the traveling rack 1 is in a mouth shape), wherein a driving roller component 2 is assembled on the right side of the traveling rack 1. The left side of the chassis 1 is fitted with rollers 24. Two transverse rod parts 11 which are arranged at left and right intervals are fixedly connected in the traveling rack 1, and two longitudinal rod parts 12 which are arranged at front and back intervals are arranged between the transverse rod parts 11; the transverse rod part 11 is inserted with a high-frequency intelligent recognizer positioning component 3. The high-frequency intelligent recognition instrument positioning component 3 is clamped and positioned with a high-frequency intelligent recognition device for piece detection.
The specific structure of the positioning component 3 of the high-frequency intelligent recognizer is as follows:
the positioning component 3 of the high-frequency intelligent recognizer comprises an L-shaped rod body 31 connected to the central part of the cross rod part 11 in a sliding manner, a plurality of threaded holes 311 arranged at intervals up and down are formed in the L-shaped rod body 31, and a positioning bolt is connected to the cross rod part 11 in a threaded manner; the upper end part of the L-shaped rod body 31 is fixedly connected with a limiting plate body 32, and a plurality of limiting protrusions 321 are arranged on the mutually-oriented side walls of the limiting plate body 32; a mounting plate is fixedly connected to the center of the left side of the top of the traveling frame 1, a plurality of connecting rods 41 are arranged at intervals in the front and back of the top of the mounting plate, a rotating rod 42 is rotatably connected to the connecting rods 41 (blocking heads 421 are fixedly connected to the front and back ends of the rotating rod 42), and a plurality of infrared thermal imaging probes 43 are fixedly connected to the rotating rod 42; a pressing bolt 411 is threadedly connected to the top of the connecting rod 41, and the pressing bolt 411 presses the rotating rod 42.
The infrared thermal imaging probe 43 is designed to realize thermal imaging of the GIS equipment, and whether physical faults exist in a working circuit penetrating the sealed equipment or not is realized.
The L-shaped rod 31 includes a vertical portion slidably connected to the crossbar portion 11, and the vertical portion is provided with a plurality of threaded holes; the cross rod part 11 is provided with a through hole matched with the cross rod part 11. The L-shaped rod body 31 further includes a connecting rod body fixedly connected to the limiting plate body 32, and the limiting plate body 32 is connected to the central portion of the limiting plate body 32.
The above-mentioned connecting rod 41 includes the horizontal shaft body, the said horizontal shaft body is screwed on mounting plate through the fastening bolt;
the connecting rod 41 further includes a vertical rod portion that is a vertical horizontal rod portion, and the rotating rod 42 penetrates the vertical rod portion;
the rotary lever 42 is rotatably connected to the vertical lever body.
The driving roller component 2 comprises a driving shaft 21 rotatably connected to the rear side of the traveling frame 1, and rolling wheels 22 are fixedly connected to the front and rear end portions of the driving shaft 21.
In a conventional manner, a driving gear housing 23 is mounted on the driving shaft, and a power input motor is connected to the driving gear housing 23.
The front and rear ends of the left side of the traveling frame 1 are rotatably connected with rollers 24.
C-shaped mounting rods with downward openings are fixedly connected to the front side and the rear side of the top of the traveling frame 1;
the C-shaped mounting rod is provided with a plurality of image collecting components 5 which are arranged at left and right intervals. And an image acquisition component 5 is designed to intelligently acquire videos of the GIS and transmit the videos to a background.
The image capturing component 5 comprises a sleeve 51 fixedly connected to the C-shaped mounting rod, a movable rod 52 is connected to the sleeve 51 in a sliding manner, and a camera 53 is fixedly connected to the front end and the rear end of the movable rod 52; the movable rod 52 is provided with a plurality of threaded through holes arranged at intervals in the front and back, the sleeve 51 is connected with a positioning bolt through downward threads, and the positioning bolt is connected with the threaded through holes through threads. The driving gear case 23 is fixedly connected to an inner sidewall of the traveling frame 1 by a plurality of connection plates 231.
The power input motor on the drive gear box 23 is turned on, at this time, the whole device obtains power, the whole device runs in a workshop, and in the process, the infrared thermal imaging probe 43 images the working equipment. The pressing bolt 411 is loosened to adjust the angle of the rotating rod 42, thereby realizing the angle adjustment of the infrared thermal imaging probe 43.
By adopting the device component design, intelligent identification detection can be carried out on a large number of GIS devices in a workshop, and the device component design effectively improves the working efficiency of intelligent identification detection.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (5)
- An AI partial discharge intelligent identification method comprises the following steps: the method is characterized in that: the machine frame carries a high-frequency intelligent recognition instrument and an infrared thermal imaging probe to run in a workshop; detecting equipment faults by adopting a polling mode;the high-frequency intelligent recognizer positioning component is arranged on the rack, one side of the rack is provided with a driving roller component, and the opposite side of the rack is provided with a roller to drive the high-frequency intelligent recognizer to operate in a workshop along with the rack; the rack is provided with a mounting plate, and the top of the mounting plate is provided with a connecting rod;the infrared thermal imaging probes are rotationally connected with the connecting rod through rotating rods so as to be arranged on the rack;and (3) turning on the power input motor to drive the machine frame to run in a workshop, wherein the infrared thermal imaging probe 43 images the working equipment in the process, and the infrared thermal imaging probe 43 passes through a working circuit in the sealed equipment through infrared thermal imaging to detect whether a physical fault exists.
- 2. The AI partial discharge intelligent recognition method of claim 1, wherein: the top of the connecting rod is provided with threads which are connected with an extrusion bolt, and the extrusion bolt is extruded on the rotating rod; the angle of the rotating rod 42 is adjusted by loosening the pressing bolt 411, thereby achieving the angle adjustment of the infrared thermal imaging probe 43.
- 3. The AI local discharge intelligent recognition method of claims 1-2, wherein: a connecting plate is arranged on the rack, and the driving gear box body is fixedly connected to the inner side wall of the rack through the connecting plate; the driving gear box is connected with a power input motor and is assembled on the driving shaft.
- 4. The AI partial discharge intelligent recognition method of claim 3, wherein: a driving shaft 21 is rotatably connected to the rear side of the traveling frame 1, and rolling wheels 22 are fixedly connected to the front end and the rear end of the driving shaft 21; the front end and the rear end of the left side of the frame 1 are both rotatably connected with rollers 24.
- 5. The AI local discharge intelligent recognition method of claims 1-2, wherein: and an image acquisition component 5 is designed to intelligently acquire videos of the GIS and transmit the videos to a background.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210644008.6A CN115078925A (en) | 2020-09-24 | 2020-09-24 | AI partial discharge intelligent identification method |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011014377.4A CN112147469B (en) | 2020-09-24 | 2020-09-24 | High-frequency intelligent identification device is put in GIS office based on AI edge calculation |
| CN202210644008.6A CN115078925A (en) | 2020-09-24 | 2020-09-24 | AI partial discharge intelligent identification method |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
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| CN202011014377.4A Division CN112147469B (en) | 2020-09-24 | 2020-09-24 | High-frequency intelligent identification device is put in GIS office based on AI edge calculation |
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| CN115078925A true CN115078925A (en) | 2022-09-20 |
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| CN202011014377.4A Active CN112147469B (en) | 2020-09-24 | 2020-09-24 | High-frequency intelligent identification device is put in GIS office based on AI edge calculation |
| CN202210644008.6A Pending CN115078925A (en) | 2020-09-24 | 2020-09-24 | AI partial discharge intelligent identification method |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202011014377.4A Active CN112147469B (en) | 2020-09-24 | 2020-09-24 | High-frequency intelligent identification device is put in GIS office based on AI edge calculation |
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| CN113391176A (en) * | 2021-07-29 | 2021-09-14 | 广东电网有限责任公司 | GIS partial discharge intelligent monitoring device based on edge calculation |
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- 2020-09-24 CN CN202011014377.4A patent/CN112147469B/en active Active
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| CN112147469A (en) | 2020-12-29 |
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