CN210664566U - Power distribution network line patrol surveying system - Google Patents
Power distribution network line patrol surveying system Download PDFInfo
- Publication number
- CN210664566U CN210664566U CN201920896962.8U CN201920896962U CN210664566U CN 210664566 U CN210664566 U CN 210664566U CN 201920896962 U CN201920896962 U CN 201920896962U CN 210664566 U CN210664566 U CN 210664566U
- Authority
- CN
- China
- Prior art keywords
- aerial vehicle
- unmanned aerial
- ground control
- control end
- distribution network
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The utility model relates to an electric power tech field, a distribution network patrols line survey system, including flight end, ground control end and platform end, its characterized in that flight end unmanned aerial vehicle body, the unmanned aerial vehicle body is provided with the cloud platform, be provided with on the cloud platform and survey orientation module, the ground control end can acquire the POS coordinate information who surveys orientation module, fixes a position and patrols and examines the stake position coordinate that the circuit went on footpath to set up the parameter. The utility model discloses effectively solved the distribution network and patrolled and examined inefficiency, personnel intensity of labour is big, equipment defect, the untimely scheduling problem of hidden danger discovery, reduced circuit and equipment trouble incidence, improved electric wire netting operating stability.
Description
Technical Field
The utility model relates to an electric power tech field, in particular to distribution network system of patrolling and examining.
Background
With the gradual maturity of unmanned aerial vehicle technology, the performance is becoming perfect, and unmanned aerial vehicle's application is also expanding constantly. At present, the unmanned aerial vehicle is widely applied in the civil field, and high and new technology equipment is carried on the unmanned aerial vehicle, so that better practical value can be obtained in a plurality of civil occasions, such as field monitoring, meteorological detection, power grid line inspection and the like. The power grid line inspection is an effective means for ensuring the reliable operation of a power grid, the traditional power grid inspection is usually a manual in-place mode, in recent years, the intelligent power grid of a national power grid company is rapidly developed, the traditional distribution line inspection mode is often lack of personnel, the line inspection period is long, the traditional distribution line inspection mode has great dependence on the responsibility and technical literacy of inspection personnel, and the problems of insufficient inspection, untimely defect discovery, incomplete hidden danger inspection and the like are caused by the fact that the responsibility of personnel is not strong; the technical level difference of personnel directly influences the judgment of defects and hidden dangers, and particularly, the manual inspection method has the disadvantages of more people, money and material resources and lower efficiency in the complex environment, so that the manual inspection method cannot completely adapt to the actual requirements of power grid development.
SUMMERY OF THE UTILITY MODEL
The utility model provides a distribution network patrols and examines survey system, for realizing above-mentioned purpose, the utility model discloses a following technical scheme: the utility model provides a distribution network patrols line survey system, includes flight end, ground control end and platform end, its characterized in that flight end unmanned aerial vehicle body, the unmanned aerial vehicle body is provided with the cloud platform, be provided with on the cloud platform and survey orientation module, the ground control end can acquire the POS coordinate information who surveys orientation module, fixes a position and goes out to patrol and examine the stake position location coordinate on the circuit walking footpath to set up the parameter.
Preferably, the ground control end comprises an unmanned aerial vehicle remote controller and a mobile tablet, the mobile tablet is accessed to the map information system, and the geographical background map of the position is displayed according to the position of the unmanned aerial vehicle.
Preferably, the infrared thermal imager is mounted on the unmanned aerial vehicle holder, hovering detection is carried out on the position of the line key through the infrared thermal imager, the moving end can check a detected infrared thermal image, an alarm can be sent out when the monitored temperature exceeds a threshold value through setting a temperature value, and specific details can be checked through matching with a conventional lens.
Further preferably, the parameters include pile position code, pile position type, voltage level, tower height, cross arm form and transformer capacity.
Preferably, the flight end and the ground control end perform data conversion through a wireless communication protocol, and the ground control end and the platform end perform data transmission through a wireless network.
Preferably, the pan/tilt head is mounted with a thermal imaging camera and a high-magnification optical zoom camera.
Preferably, the platform end comprises an application server cluster and a deep learning server cluster, and is used for processing collected data, including classifying on-site line patrol data collected by the unmanned aerial vehicle, and forming structured basic data by using on-site collected coordinates and parameters of tower equipment; the picture of shooing on the spot is classified according to the specification model of shaft tower and equipment, provides intelligent image recognition module and carries out the problem screening, intelligent image recognition module realizes the intelligent recognition analysis to the picture of patrolling the line process and shooing through image intelligent recognition algorithm, and the diagnosis includes to equipment defect, hidden danger: the method comprises the following steps of inclining a pole tower, breaking a line, dropping an insulator, colliding a tree line and the like, and classifying problems to form a problem record.
Preferably, the unmanned aerial vehicle remote controller is connected with the mobile tablet through an internal bus.
Preferably, the unmanned aerial vehicle body still includes the unmanned aerial vehicle horn, the horn below is provided with the undercarriage.
Preferably, the undercarriage comprises a first vertical rod and an arc-shaped rod connected with the first vertical rod, and the arc-shaped rod is made of rubber.
Drawings
Fig. 1 is a schematic view of the landing gear structure of the present invention.
Detailed Description
The utility model provides a distribution network patrols and examines survey system, for realizing above-mentioned purpose, the utility model discloses a following technical scheme: the utility model provides a distribution network patrols line survey system, includes flight end, ground control end and platform end, its characterized in that flight end unmanned aerial vehicle body, the unmanned aerial vehicle body is provided with the cloud platform, be provided with on the cloud platform and survey orientation module, the ground control end can acquire the POS coordinate information who surveys orientation module, fixes a position and goes out to patrol and examine the stake position location coordinate on the circuit walking footpath to set up the parameter.
Preferably, the ground control end comprises an unmanned aerial vehicle remote controller and a mobile tablet, the mobile tablet is accessed to the map information system, and the geographical background map of the position is displayed according to the position of the unmanned aerial vehicle.
Preferably, the infrared thermal imager is mounted on the unmanned aerial vehicle holder, hovering detection is carried out on the position of the line key through the infrared thermal imager, the moving end can check a detected infrared thermal image, an alarm can be sent out when the monitored temperature exceeds a threshold value through setting a temperature value, and specific details can be checked through matching with a conventional lens.
Further preferably, the parameters include pile position code, pile position type, voltage level, tower height, cross arm form and transformer capacity.
Preferably, the flight end and the ground control end perform data conversion through a wireless communication protocol, and the ground control end and the platform end perform data transmission through a wireless network.
Preferably, the pan/tilt head is mounted with a thermal imaging camera and a high-magnification optical zoom camera.
Preferably, the platform end comprises an application server cluster and a deep learning server cluster, and is used for processing collected data, including classifying on-site line patrol data collected by the unmanned aerial vehicle, and forming structured basic data by using on-site collected coordinates and parameters of tower equipment; the picture of shooing on the spot is classified according to the specification model of shaft tower and equipment, provides intelligent image recognition module and carries out the problem screening, intelligent image recognition module realizes the intelligent recognition analysis to the picture of patrolling the line process and shooing through image intelligent recognition algorithm, and the diagnosis includes to equipment defect, hidden danger: the method comprises the following steps of inclining a pole tower, breaking a line, dropping an insulator, colliding a tree line and the like, and classifying problems to form a problem record.
Preferably, the unmanned aerial vehicle remote controller is connected with the mobile tablet through an internal bus.
Preferably, the unmanned aerial vehicle body still includes the unmanned aerial vehicle horn, the horn below is provided with the undercarriage.
Preferably, the undercarriage comprises a first vertical rod 1 and an arc-shaped rod 2 connected with the first vertical rod 1, wherein the arc-shaped rod 2 is made of rubber. The undercarriage is designed below the upper paddle of the horn, is far away from the tripod head, and does not interfere acquisition equipment acquisition information in the process of line patrol and photographing of the unmanned aerial vehicle. And the structure of undercarriage can adapt to comparatively complicated inspection environment again for unmanned aerial vehicle takes off and land steadily, avoids the damage of unmanned aerial vehicle and carry-on equipment.
The utility model discloses a technical scheme more economy, and it is efficient to patrol and examine. Because the temperature change of the key part of the power equipment is usually a precursor of the fault of the equipment, the infrared thermal imager can be used for detecting the fault of the equipment on line in the running state of a power grid. Through survey positioning module, can accurately judge the fault site and record.
In conclusion, the unmanned aerial vehicle is used for flying and patrolling the line to collect and identify the abnormal items and the coordinate information of the towers, the equipment along the line, the difficult problem of low line patrolling efficiency on the artificial ground is solved, and the line patrolling efficiency and the line patrolling quality are comprehensively improved. Carry out fault identification to the image that unmanned aerial vehicle gathered, the tangible effectual distribution network that has solved patrols and examines inefficiency, personnel intensity of labour is big, equipment defect, hidden danger discovery scheduling problem untimely, reduces circuit and equipment trouble incidence, improves electric wire netting operating stability. By means of unmanned aerial vehicle positioning and image data acquisition modes and the application of an intelligent recognition technology, accuracy of equipment geographic information and physical information of stock data is checked, and a solid and reliable data base is improved for a power supply command platform.
Claims (5)
1. The utility model provides a distribution network patrols line survey system, includes flight end, ground control end and platform end, its characterized in that the flight end includes the unmanned aerial vehicle body, the unmanned aerial vehicle body is provided with the cloud platform, be provided with on the cloud platform and survey orientation module, the ground control end can acquire the POS coordinate information of surveying orientation module, fixes a position and goes out to patrol and examine the stake position point location coordinate that the circuit went across to the set parameter, installation infrared thermal imager, high multiple optics zoom camera on the unmanned aerial vehicle cloud platform, the unmanned aerial vehicle body still includes the unmanned aerial vehicle horn, the horn below is provided with the undercarriage, the undercarriage include first vertical pole and with the arc pole that first vertical pole links to each other, the arc pole is the rubber material.
2. The power distribution network patrol surveying system of claim 1, wherein the ground control end comprises an unmanned aerial vehicle remote controller and a mobile tablet, the mobile tablet is connected to the map information system, and displays a geographical background map of the location of the unmanned aerial vehicle according to the location of the unmanned aerial vehicle.
3. The system according to claim 1, wherein the parameters include pile position code, pile position type, voltage level, tower height, cross arm form, and transformer capacity.
4. The system according to claim 1, wherein the flight end and the ground control end perform data conversion via a wireless communication protocol, and the ground control end and the platform end perform data transmission via a wireless network.
5. The system according to claim 1, wherein the unmanned aerial vehicle remote controller is connected to the mobile tablet via an internal bus.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201920896962.8U CN210664566U (en) | 2019-06-14 | 2019-06-14 | Power distribution network line patrol surveying system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201920896962.8U CN210664566U (en) | 2019-06-14 | 2019-06-14 | Power distribution network line patrol surveying system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN210664566U true CN210664566U (en) | 2020-06-02 |
Family
ID=70817286
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201920896962.8U Active CN210664566U (en) | 2019-06-14 | 2019-06-14 | Power distribution network line patrol surveying system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN210664566U (en) |
-
2019
- 2019-06-14 CN CN201920896962.8U patent/CN210664566U/en active Active
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11475385B2 (en) | Method and system for utility power line monitoring | |
US20180098137A1 (en) | Method and system for utility power lines vegetation proximity monitoring and controlling | |
CN106771856B (en) | Electric power transmission line lightning stroke point determination method based on unmanned aerial vehicle technology | |
CN112422783A (en) | Unmanned aerial vehicle intelligent patrol system based on parking apron cluster | |
CN108957240A (en) | Electric network fault is remotely located method and system | |
CN114373138A (en) | Full-automatic unmanned aerial vehicle inspection method and system for high-speed railway | |
CN205375192U (en) | Unmanned aerial vehicle distribution network system of patrolling and examining based on infrared image technique | |
CN109683609A (en) | A kind of electric intelligent inspection system and method | |
KR102250247B1 (en) | A system and appratus for managing a solar panel using an unmaned aerial vehicle | |
CN207268846U (en) | Electric inspection process robot | |
CN113972586B (en) | High-voltage transmission line unmanned aerial vehicle carrying laser foreign matter removing system and method | |
CN110647170A (en) | Navigation mark inspection device and method based on unmanned aerial vehicle | |
CN111578861A (en) | Power distribution network tree obstacle detection method and system | |
CN110750107A (en) | Photovoltaic power station unmanned aerial vehicle inspection method based on optical identification | |
WO2024092859A1 (en) | Digital mine inspection system and implementation method | |
CN210835732U (en) | Beacon inspection device based on unmanned aerial vehicle | |
AU2023278096A1 (en) | Method and system for utility power lines vegetation proximity monitoring and controlling | |
CN114721432A (en) | Unmanned aerial vehicle intelligent inspection equipment based on big data and inspection image defect analysis method | |
CN114744756A (en) | Intelligent power transmission line inspection system based on machine vision | |
CN110334820A (en) | A kind of power distribution network intelligent inspection system | |
CN213518003U (en) | A patrol and examine robot and system of patrolling and examining for airport pavement | |
CN210664566U (en) | Power distribution network line patrol surveying system | |
CN109902647B (en) | Portable online bird nest intelligent identification method and system | |
CN218214363U (en) | Smart pile terminal equipment of smart multipurpose | |
CN109000718A (en) | A kind of Safety Supervision on Hydraulic Buildings system and method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
GR01 | Patent grant | ||
GR01 | Patent grant |