CN113008896A

CN113008896A - Power failure detection device based on machine vision

Info

Publication number: CN113008896A
Application number: CN202110202358.2A
Authority: CN
Inventors: 鞠昌平; 刘洪星; 金晔青; 程守卿; 姜峰峰
Original assignee: Jiangsu Lipei Electric Power Engineering Technology Service Co ltd
Current assignee: Jiangsu Lipei Electric Power Engineering Technology Service Co ltd
Priority date: 2021-02-23
Filing date: 2021-02-23
Publication date: 2021-06-22

Abstract

The invention relates to the technical field of power failure detection devices, and discloses a power failure detection device based on machine vision, which comprises a device body, wherein the bottom of the device body is connected with a base, the lower end of the base is provided with a universal wheel, a brake is arranged on the universal wheel, the left side of the device body is provided with a heat dissipation port, the middle position of the right side of the device body is connected with a push handle, the middle part of the upper end of the device body is provided with a graph acquisition module, and the inner side wall of the device body is provided with a moisture-proof layer. And the radiating effect is good, and removal and later stage maintenance are convenient.

Description

Power failure detection device based on machine vision

Technical Field

The invention relates to the technical field of power failure detection devices, in particular to a power failure detection device based on machine vision.

Background

The substation is an important joint for power transmission, and power equipment fails when in use, so that the power failure detection device can be used for detecting the power failure.

The existing power failure detection device can not integrate the traditional image and the emerging artificial intelligence technology when in use, is applied to the identification and fault diagnosis of power equipment, extracts effective information from mass data as required, and has the defects of high manpower and material resource consumption, low fault early warning capacity and fault judgment efficiency, incapability of guaranteeing the continuous high-efficiency and stable operation of the power equipment, poor heat dissipation and moisture-proof effects and inconvenience in movement and later maintenance, so that the defects are solved by the urgent need of the power failure detection device based on machine vision.

Disclosure of Invention

Aiming at the defects of the prior art, the invention provides a power failure detection device based on machine vision, which solves the problems that the conventional power failure detection device cannot integrate the traditional image and the emerging artificial intelligence technology when in use, is applied to the identification and fault diagnosis of power equipment, extracts effective information from mass data as required, causes large consumption of manpower and material resources, has low fault early warning capability and fault judgment efficiency, cannot ensure the continuous, efficient and stable operation of the power equipment, has poor heat dissipation and moisture-proof effects, and is inconvenient to move and maintain at a later stage.

The invention provides the following technical scheme: a power failure detection device based on machine vision comprises a device body, wherein the bottom of the device body is connected with a base, the lower end of the base is provided with a universal wheel, a brake is arranged on the universal wheel, a heat dissipation port is formed in the left side of the device body, a pushing handle is connected to the middle position of the right side of the device body, a graph acquisition module is arranged in the middle of the upper end of the device body, a moisture-proof layer is arranged on the inner side wall of the device body, an integration box is arranged at the inner bottom end of the device body, a controller is arranged at the upper left corner of the interior of the integration box, an alternating current contactor is arranged on the right side of the controller, an electronic voltage regulator is arranged under the controller, a rectification module is arranged under the electronic voltage regulator, a voltage doubling module is arranged under the alternating current contactor, and a monitoring module is arranged under the voltage doubling module, the device comprises an integration box and is characterized in that an image analysis and recognition module is arranged on the right side of the integration box, a fault diagnosis module is installed on the right side of the image analysis and recognition module, the lower ends of the image analysis and recognition module and the fault diagnosis module are connected with a moisture-proof layer, the left side and the right side of the front end face of a device body are connected with a left box door and a right box door through hinge pieces, the left box door and the right box door are arranged in an axial symmetry mode relative to the device body, door handles are arranged on the left box door and the right box door and are arranged in a symmetrical mode, a door lock is arranged on the edge, close to the right, of the left box.

Preferably, the number of the universal wheels is four, and every two universal wheels are oppositely arranged at four near corners of the bottom of the base.

Preferably, the figure collection module is formed by an intelligent inspection robot and a camera.

Preferably, the number of the hinge members is set to four.

Preferably, the heat dissipation opening is provided with a dust screen.

Preferably, an instrument panel is arranged at the upper left corner of the left box door.

Compared with the prior art, the invention has the following beneficial effects:

the invention integrates the traditional image and the emerging artificial intelligence technology, is applied to the identification and fault diagnosis of the power equipment, and extracts effective information from mass data according to the requirement, thereby reducing manpower and material resources, greatly improving the fault early warning capability and the fault judgment efficiency, ensuring the continuous, efficient and stable operation of the power equipment, having good heat dissipation and moisture-proof effects and being convenient to move and maintain at the later stage.

Drawings

FIG. 1 is a schematic structural view of the present invention;

FIG. 2 is a schematic view of the external structure of the present invention;

fig. 3 is a left side view of the device body of the present invention.

In the figure: 1. a device body; 2. a base; 3. a universal wheel; 4. a heat dissipation port; 5. a pushing handle; 6. a graph acquisition module; 7. an integration box; 8. a controller; 9. an AC contactor; 10. an electronic voltage regulator; 11. a rectification module; 12. a voltage doubling module; 13. a monitoring module; 14. an image analysis and recognition module; 15. a fault diagnosis module; 16. a heat dissipation fan; 17. a right box door; 18. a left box door; 19. a hinge member; 20. an instrument panel; 21. a door lock; 22. a door handle; 23. a moisture barrier.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1-3, a power failure detection device based on machine vision comprises a device body 1, a base 2 is connected to the bottom of the device body 1, a universal wheel 3 is arranged at the lower end of the base 2, a brake is arranged on the universal wheel 3, a heat dissipation port 4 is arranged at the left side of the device body 1, a push handle 5 is connected to the middle position of the right side of the device body 1, a graph acquisition module 6 is arranged at the middle of the upper end of the device body 1, a moisture-proof layer 23 is arranged on the inner side wall of the device body 1, an integration box 7 is arranged at the inner bottom end of the device body 1, a controller 8 is arranged at the upper left corner of the integration box 7, an alternating current contactor 9 is arranged at the right side of the controller 8, an electronic voltage regulator 10 is arranged right below the controller 8, a rectification module 11 is arranged right below the electronic voltage regulator 10, a, a monitoring module 13 is arranged right below the voltage doubling module 12, an image analysis and identification module 14 is arranged on the right side of the integrated box 7, a fault diagnosis module 15 is arranged on the right side of the image analysis and identification module 14, and the mutual cooperation between the two modules is utilized, so that the fusion of the traditional image and the emerging artificial intelligence technology can be realized, the image analysis and identification module 14 and the emerging artificial intelligence technology are applied to the identification and fault diagnosis of the power equipment, effective information is extracted from mass data as required, thereby reducing manpower and material resources, greatly improving the fault early warning capability and the fault judgment efficiency, ensuring the continuous, efficient and stable operation of the power equipment, the lower ends of the image analysis and identification module 14 and the fault diagnosis module 15 are connected with a moisture-proof layer 23, the left side and the right side of the front end surface of the device body 1 are connected with a left box door 18 and a right box door 17 through hinges 19, and the left box, all be provided with door handle 22 and symmetry setting on left chamber door 18 and the right chamber door 17, the edge that leans on the right side of left chamber door 18 is provided with lock 21, heat dissipation fan 16 is installed to the inside top intermediate position of device body 1, the quantity of universal wheel 3 sets up to four, and two liang of relative settings are in four edges that leans on of base 2 bottom, utilize the mutually supporting effect between them, thereby can realize heat dissipation and dampproofing effectual, it is convenient to remove and later maintenance, figure acquisition module 6 patrols and examines the robot by the intelligence and carry on the camera and constitute, the quantity of hinge 19 sets up to four, the dust screen is installed to thermovent 4 departments, the upper left corner department of left chamber door 18 is provided with panel board 20.

The working principle and the using process of the invention are as follows: at first, gather the image through the camera of figure collection module 6, and carry to image analysis and identification module 14 and carry out the processing analysis, carry the information of handling to failure diagnosis module 15 again and diagnose, when needs move, then hold pushing hands 5 and move through four universal wheels 3, and brake through the stopper, when needing to overhaul, then open lock 21, open left chamber door 18 and right chamber door 17 through door handle 22, can overhaul it, during operation, open heat dissipation fan 16 and discharge inside heat from thermovent 4, the dust screen of thermovent 4 department prevents the dust entering, dampproof course 23 can prevent the moisture infiltration.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims

1. A power failure detection device based on machine vision comprises a device body (1) and is characterized in that; the device is characterized in that a base (2) is connected to the bottom of the device body (1), universal wheels (3) are arranged at the lower end of the base (2), a brake is arranged on the universal wheels (3), a heat dissipation port (4) is formed in the left side of the device body (1), a pushing handle (5) is connected to the right side middle position of the device body (1), a graph acquisition module (6) is arranged in the middle of the upper end of the device body (1), a moisture-proof layer (23) is arranged on the inner side wall of the device body (1), an integration box (7) is arranged at the inner bottom end of the device body (1), a controller (8) is arranged at the inner upper left corner of the integration box (7), an alternating current contactor (9) is arranged on the right side of the controller (8), an electronic voltage regulator (10) is arranged under the controller (8), and a rectification module (11) is arranged under the electronic voltage regulator (10, a voltage doubling module (12) is arranged below the AC contactor (9), a monitoring module (13) is arranged right below the voltage doubling module (12), an image analysis and recognition module (14) is arranged on the right side of the integration box (7), a fault diagnosis module (15) is arranged on the right side of the image analysis and recognition module (14), the lower ends of the image analysis and recognition module (14) and the fault diagnosis module (15) are both connected with a moisture-proof layer (23), the left side and the right side of the front end surface of the device body (1) are both connected with a left box door (18) and a right box door (17) through hinge pieces (19), the left box door (18) and the right box door (17) are arranged in axial symmetry relative to the device body (1), door handles (22) are arranged on the left box door (18) and the right box door (17) in symmetry, and a door lock (21) is arranged near the right edge of the left box door (18), a heat dissipation fan (16) is installed in the middle of the top end inside the device body (1).

2. The machine-vision-based power failure detection device of claim 1, wherein: the number of the universal wheels (3) is four, and every two universal wheels are oppositely arranged at four near corners at the bottom of the base (2).

3. The machine-vision-based power failure detection device of claim 1, wherein: the figure acquisition module (6) is formed by an intelligent inspection robot and a camera.

4. The machine-vision-based power failure detection device of claim 1, wherein: the number of the hinge members (19) is set to four.

5. The machine-vision-based power failure detection device of claim 1, wherein: and a dustproof net is arranged at the heat dissipation port (4).

6. The machine-vision-based power failure detection device of claim 1, wherein: an instrument panel (20) is arranged at the upper left corner of the left box door (18).