CN108195470A - Grid equipment fault detection method, unmanned plane and unmanned aerial vehicle (UAV) control station - Google Patents
Grid equipment fault detection method, unmanned plane and unmanned aerial vehicle (UAV) control station Download PDFInfo
- Publication number
- CN108195470A CN108195470A CN201711204457.4A CN201711204457A CN108195470A CN 108195470 A CN108195470 A CN 108195470A CN 201711204457 A CN201711204457 A CN 201711204457A CN 108195470 A CN108195470 A CN 108195470A
- Authority
- CN
- China
- Prior art keywords
- gis device
- surface temperature
- aerial vehicle
- uav
- unmanned plane
- 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.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 77
- 238000000034 method Methods 0.000 claims abstract description 9
- 230000005540 biological transmission Effects 0.000 claims description 6
- 230000004888 barrier function Effects 0.000 claims description 5
- 238000013507 mapping Methods 0.000 claims description 4
- 238000012360 testing method Methods 0.000 description 8
- 206010037660 Pyrexia Diseases 0.000 description 5
- 230000008901 benefit Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- 230000004044 response Effects 0.000 description 4
- 229910018503 SF6 Inorganic materials 0.000 description 3
- SFZCNBIFKDRMGX-UHFFFAOYSA-N sulfur hexafluoride Chemical compound FS(F)(F)(F)(F)F SFZCNBIFKDRMGX-UHFFFAOYSA-N 0.000 description 3
- 239000002131 composite material Substances 0.000 description 2
- 239000004020 conductor Substances 0.000 description 2
- 230000001419 dependent effect Effects 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 230000001771 impaired effect Effects 0.000 description 2
- 230000005855 radiation Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009413 insulation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000013021 overheating Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 229960000909 sulfur hexafluoride Drugs 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0096—Radiation pyrometry, e.g. infrared or optical thermometry for measuring wires, electrical contacts or electronic systems
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/10—Simultaneous control of position or course in three dimensions
- G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J2005/0077—Imaging
Abstract
The embodiment of the present disclosure provides a kind of grid equipment fault detection method, applied to having the function of the unmanned plane of infrared detection, the method includes：When according to default airline operation, the surface temperature of gas-insulating and fully-enclosed combined electrical apparatus GIS equipment is acquired by infrared detection function；Wherein, the default course line is set according to GPS map with reference to the GIS device distribution map；When the first surface temperature of acquisition is more than preset temperature threshold, records the first surface temperature and correspond to the GIS device fault data of acquisition position, and the GIS device fault data is sent to unmanned aerial vehicle (UAV) control station.
Description
Technical field
The embodiment of the present disclosure be related to GIS device field more particularly to a kind of grid equipment fault detection method, unmanned plane and
Unmanned aerial vehicle (UAV) control station.
Background technology
GIS (Gas Insulated Switchgear, abridge GIS, gas-insulating and fully-enclosed combined electrical apparatus) equipment uses
The gas-insulated metal-enclosed structures of sulfur hexafluoride SF6 have the advantages that safe, floor space is small and maintenance workload is small,
GIS device has become standard configuration in newly-built substation and old station improvement project.
The totally-enclosed cramped construction of GIS device is not without shortcoming, once there is event in GIS device a component
Barrier often involves element nearby, causes to accompany and stop.Therefore along with the dress dosage rapid growth of GIS device, the event of GIS device
Barrier early warning technology must synchronize or even develop in advance, by implementing effective detect and diagnose, mitigate the risk of catastrophic failure.
Due to being metal enclosed cylinder outside GIS device, whether the contact that can not be directly observed inner conductor is good, with
And whether have abnormal heat condition, and inner barrel is complicated, exist as insulation and heat eliminating medium SF6 gases
The radiating modes such as complicated convection current, conduction and radiation, internal hot(test)-spot temperature can not be directly known from skin temperature, there is no reality at present
With reliable emulated computation method, the problem of causing GIS device overheating fault detect and diagnose difficult.
Invention content
The embodiment of the present disclosure provides a kind of grid equipment fault detection method, unmanned plane and unmanned aerial vehicle (UAV) control station.
In a first aspect, the embodiment of the present disclosure provides a kind of grid equipment fault detection method, applied to infrared detection
The unmanned plane of function, the method includes：
When according to default airline operation, gas-insulating and fully-enclosed combined electrical apparatus GIS is acquired by infrared detection function and is set
Standby surface temperature；Wherein, the default course line is set according to GPS map with reference to the GIS device distribution map；
When the first surface temperature of acquisition is more than preset temperature threshold, records the first surface temperature and correspond to acquisition position
The GIS device fault data put, and the GIS device fault data is sent to unmanned aerial vehicle (UAV) control station.
Optionally, the GIS device fault data includes at least one of following：Position of failure point, surface temperature value, failure
Point location drawing picture, trouble point length.
Optionally, the GIS device fault data includes position of failure point, then described by the GIS device fault data
Unmanned aerial vehicle (UAV) control station is sent to include：The position of failure point is sent to unmanned aerial vehicle (UAV) control station, so that the unmanned aerial vehicle (UAV) control
It stands position of failure point label in the default course line of the unmanned plane, is formed with position of failure point distribution
GPS failure detection figure.
Optionally, it is described the GIS device fault data is sent to unmanned aerial vehicle (UAV) control station after, further include：From current
Position of failure point continues to fly according to default course line, repeats the surface that the GIS device is acquired by infrared detection function
Temperature and when the second surface temperature of acquisition is more than preset temperature threshold, records the second surface temperature and corresponds to acquisition
The GIS device GIS device fault data of position and the step of the GIS device fault data is sent to unmanned aerial vehicle (UAV) control station,
Until the default course line of having flown.
Optionally, the unmanned plane acquires the surface temperature of GIS device by infrared detection function, including：It is described nobody
Machine presets the surface temperature of top position by infrared detection function acquisition GIS device.
Second aspect, the embodiment of the present disclosure provide a kind of grid equipment fault detection method, applied to unmanned aerial vehicle (UAV) control station,
The method includes：
Receive the gas-insulating and fully-enclosed combined electrical apparatus GIS equipment fault data of the acquisition position of unmanned plane transmission；Wherein,
The acquisition position be the unmanned plane according to default airline operation when the GIS device surface temperature that records be more than preset temperature threshold
The position of value, the default course line are set according to GPS map with reference to the GIS device distribution map；
The GIS device fault data is drawn in the default course line, obtains the GPS failure detection figure of GIS device.
Optionally, the GIS device fault data includes at least one of following：Position of failure point, surface temperature value, failure
Point location drawing picture, trouble point length.
Optionally, it is described that the GIS device fault data is drawn in the default course line, including：By the failure
Point position mark forms the GPS failure detection figure with position of failure point distribution in the default course line of the unmanned plane.
The third aspect, the embodiment of the present disclosure also provide a kind of grid equipment fault detect unmanned plane, including：
Infrared detection module, fingerprint identification module, for acquiring the surface temperature of gas-insulating and fully-enclosed combined electrical apparatus GIS equipment；
Heat sensor, for when the first surface temperature of acquisition is more than preset temperature threshold, being transmitted across to logging modle
Heat instruction；
Logging modle, for when receiving overheat instruction, recording the GIS that the first surface temperature corresponds to acquisition position
Equipment fault data, and the GIS device fault data is sent to unmanned aerial vehicle (UAV) control station.
Fourth aspect, the embodiment of the present disclosure provide a kind of unmanned aerial vehicle (UAV) control station, including：
Receiving module, for receiving the gas-insulating and fully-enclosed combined electrical apparatus GIS equipment of the acquisition position of unmanned plane transmission
Fault data；Wherein, the acquisition position be the unmanned plane according to default airline operation when the GIS device surface temperature that records
More than the position of preset temperature threshold, the default course line is set according to GPS map with reference to the GIS device distribution map；
Mapping module for the GIS device fault data to be drawn in the default course line, obtains GIS device
GPS failure detection figure.
The embodiment of the present disclosure at least has the advantages that：
1st, the embodiment of the present disclosure carries out infrared detection using unmanned plane then has 360 degree of shooting angle, can be from very much
The angle observed is difficult to from ground and carries out fever image taking, can implement distributed measurement to the temperature of multiple contacts.
2nd, the embodiment of the present disclosure is by having the function of that the unmanned plane of infrared detection moves ahead according to default course line, when discovery surface temperature
Degree more than preset temperature threshold trouble point when, the GIS device fault data of the automatic corresponding acquisition position of record, and by the GIS
Equipment fault data send back unmanned aerial vehicle (UAV) control station.Then proceed to by pre-editing default airline operation, until default course line
Flight terminates, in such manner, it is possible to which all position of failure point can be aggregated into a GPS device topographic map, and shows phase
Close fault data (such as position of failure point, trouble point length, temperature value, position of failure point image etc.).This scheme both saved significantly
The workload of staff has been saved, and has been greatly improved work efficiency, has also enhanced the accuracy of testing result and comprehensive.
Description of the drawings
In order to illustrate more clearly of the embodiment of the present disclosure or technical solution of the prior art, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this public affairs
Some embodiments opened, for those of ordinary skill in the art, without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the schematic diagram of the grid equipment fault detection method based on unmanned plane that disclosure some embodiments provide；
Fig. 2 is the grid equipment fault detection method schematic diagram based on unmanned plane that disclosure some embodiments provide；
Fig. 3 is showing for the grid equipment fault detection method based on unmanned aerial vehicle (UAV) control station that disclosure some embodiments provide
It is intended to；
Fig. 4 is the signal of the grid equipment fault detection method based on unmanned aerial vehicle (UAV) control station that disclosure some embodiments provide
Figure；
Fig. 5 is the functional module structure schematic diagram of unmanned plane that disclosure some embodiments provide；
Fig. 6 is the functional module structure schematic diagram at unmanned aerial vehicle (UAV) control station that disclosure some embodiments provide.
Specific embodiment
Purpose, technical scheme and advantage to make the embodiment of the present disclosure are clearer, below in conjunction with the embodiment of the present disclosure
In attached drawing, the technical solution in the embodiment of the present disclosure is clearly and completely described, it is clear that described embodiment is
Disclosure part of the embodiment, instead of all the embodiments.Based on the embodiment in the disclosure, those of ordinary skill in the art
All other embodiments obtained without creative efforts belong to the range of disclosure protection.
The term used in the embodiment of the present application is only merely for the purpose of description specific embodiment, and is not intended to be limiting
The application.In the embodiment of the present application and " one kind " of singulative used in the attached claims, " described " and "the"
It is also intended to including most forms, unless context clearly shows that other meanings, " a variety of " generally comprise at least two.
It should be appreciated that term "and/or" used herein is only a kind of incidence relation for describing affiliated partner, represent
There may be three kinds of relationships, for example, A and/or B, can represent：Individualism A, exists simultaneously A and B, individualism B these three
Situation.In addition, character "/" herein, it is a kind of relationship of "or" to typically represent forward-backward correlation object.
It will be appreciated that though XXX may be described using term first, second, third, etc. in the embodiment of the present application, but
These XXX should not necessarily be limited by these terms.These terms are only used for distinguishing XXX.For example, not departing from the embodiment of the present application model
In the case of enclosing, the first XXX can also be referred to as the 2nd XXX, and similarly, the 2nd XXX can also be referred to as the first XXX.
Depending on linguistic context, word as used in this " if ", " if " can be construed to " ... when " or
" when ... " or " in response to determining " or " in response to detection ".Similarly, depending on linguistic context, phrase " if it is determined that " or " such as
Fruit detects (condition or event of statement) " " when determining " or " in response to determining " can be construed to or " when detection (statement
Condition or event) when " or " in response to detect (condition or event of statement) ".
It should also be noted that, term " comprising ", "comprising" or its any other variant are intended to nonexcludability
Comprising so that commodity or system including a series of elements not only include those elements, but also including without clear and definite
It the other element listed or further includes as this commodity or the intrinsic element of system.In the feelings not limited more
Under condition, the element that is limited by sentence "including a ...", it is not excluded that in the commodity including the element or system also
There are other identical elements.
Referring to Fig. 1, the embodiment of the present disclosure provides a kind of grid equipment fault detection method, applied to infrared detection
The unmanned plane of function.Optionally, unmanned plane can set the infrared detection sensor being connect with unmanned plane central control system to realize
Infrared detection function, carrying out infrared detection using unmanned plane then has 360 degree of shooting angle, can be from being much difficult to from ground
The angle of observation carries out fever image taking.Herein, central control system can be processor, MCU or other have processing, operation
The central control unit of function.
It is well known that infrared detection has fast untouchable, safe and reliable, detection speed, accuracy of judgement, easy to operate etc.
The advantages of prominent, be the surface of equipment or material and other objects is tested and is measured using principle of infrared radiation it is special
Gate technique and a kind of means for acquiring body surface temperature information.Grid equipment fault detection method shown in Fig. 1, will be red
Added salts are combined with unmanned plane, are detected applied to electric network fault.
The unmanned plane that disclosure some embodiments use can be multi-rotor unmanned aerial vehicle.Since multi-rotor unmanned aerial vehicle is due to can
With VTOL, hovering and low-speed operations, thus closely, low-speed motion or the observation mission for keeping same visual angle for a long time
It needs to complete using multi-rotor unmanned aerial vehicle.Multi-rotor unmanned aerial vehicle can still complete the ability of flight, peace when there is single rotor to damage
Full property and flexibility are high.It is current existing using multi-rotor unmanned aerial vehicle made of insulating composite material, high pressure belt is distributed with around
In the substation of electric body, it will not get an electric shock the problem of impaired.
In step 102, unmanned plane acquires gas-insulated when according to default airline operation, by infrared detection function and seals entirely
Close the surface temperature of combined electrical apparatus GIS equipment.
Optionally, the default course line is set according to GPS map with reference to the GIS device distribution map.Usual GIS device point
Butut is set along power grid path profile.In one embodiment, it can be set by unmanned aerial vehicle (UAV) control station according to GIS device distribution map
The position that GIS device needs detect is put, and course line is preset according to GPS map editor, enables unmanned plane according to default boat
Detected when line has flown GIS device detection in need position.
In step 104, when the first surface temperature of acquisition is more than preset temperature threshold, the first surface temperature is recorded
The GIS device fault data of corresponding acquisition position, and the GIS device fault data is sent to unmanned aerial vehicle (UAV) control station.
In one embodiment, unmanned plane can set the heat sensor being connect with central control system, which was set
Hot standard temperature (i.e. preset temperature threshold), for judging whether the first surface temperature of acquisition is more than preset temperature threshold.
When judging that first surface temperature is more than preset temperature threshold, send overheat to the central control system of unmanned plane and instruct, in unmanned plane
Control system records the GIS device fault data that the first surface temperature corresponds to acquisition position, and by the GIS device number of faults
According to being sent to unmanned aerial vehicle (UAV) control station.
It should be understood that the preset temperature threshold can specifically be set according to actual conditions, the embodiment of the present disclosure is simultaneously
It is not specifically limited.
At present, traditional technology is carried out using infrared detection on ground, and precision is relatively low and by use environment and using distance
Influence is very big, can not directly measure internal conductor temperature, it is also difficult to implement distributed measurement to the temperature of multiple contacts.Therewith
It compares, infrared detection technology and unmanned plane is conjointly employed in GIS device over-heat inside fault detect, are the embodiment of the present disclosure
Core concept.The embodiment of the present disclosure is by having the function of that the unmanned plane of infrared detection moves ahead according to default course line, when discovery surface temperature
Degree more than preset temperature threshold trouble point when, the GIS device fault data of the automatic corresponding acquisition position of record, and by the GIS
Equipment fault data send back unmanned aerial vehicle (UAV) control station.The embodiment of the present disclosure carries out infrared detection using unmanned plane then has 360 degree
Shooting angle, fever image taking can be carried out from much the angle observed is difficult to from ground, can be to the temperature of multiple contacts
Degree implements distributed measurement.
Optionally, the GIS device fault data includes at least one of following：Position of failure point, surface temperature value, failure
Point location drawing picture, trouble point length.
In an alternative embodiment, the GIS device fault data includes position of failure point, then described to set the GIS
Standby fault data is sent to unmanned aerial vehicle (UAV) control station and includes：The position of failure point is sent to unmanned aerial vehicle (UAV) control station, so that described
Unmanned aerial vehicle (UAV) control station marks the position of failure point in the default course line of the unmanned plane, and being formed has trouble point position
Put the GPS failure detection figure of distribution..
In an optional embodiment, GIS device fault data is sent to unmanned aerial vehicle (UAV) control station by step 104, so that nobody
The GIS device fault data is drawn in the default course line by machine control station, obtains the GPS failure detection figure of GIS device.
By this scheme, all position of failure point can be aggregated into a GPS figure and shown, and show dependent failure number
According to (such as position of failure point, trouble point length, temperature value, position of failure point image etc.).Work is both greatly saved in this scheme
The workload of personnel, and greatly improving work efficiency also enhances the accuracy of testing result and comprehensive.
In an optional embodiment, referring to Fig. 2, the embodiment of the present disclosure further includes step 106, unmanned plane from current therefore
Barrier point position continues to fly according to default course line, repeats the surface temperature that the GIS device is acquired by infrared detection function
It spends and when the second surface temperature of acquisition is more than preset temperature threshold, records the second surface temperature and correspond to acquisition position
The GIS device GIS device fault data put and the step of the GIS device fault data is sent to unmanned aerial vehicle (UAV) control station, directly
To the default course line of having flown.
The embodiment of the present disclosure is by having the function of that the unmanned plane of infrared detection moves ahead according to default course line, when discovery surface temperature
More than preset temperature threshold trouble point when, the GIS device fault data of the automatic corresponding acquisition position of record, and the GIS is set
Standby fault data sends back unmanned aerial vehicle (UAV) control station.Then proceed to by pre-editing default airline operation, until default course line flies
Row terminates, in such manner, it is possible to which all position of failure point can be aggregated into a GPS device topographic map, and shows correlation
Fault data (such as position of failure point, trouble point length, temperature value, position of failure point image etc.).This scheme both greatlyd save
The workload of staff, and greatly improving work efficiency also enhances the accuracy of testing result and comprehensive.
In above-mentioned some embodiments, unmanned plane can acquire gas-insulating and fully-enclosed combination electricity by infrared detection function
The surface temperature of the predeterminated position of device GIS device.In one embodiment, the predeterminated position can be default top position, this
Sample can allow unmanned plane that from aerial GIS device of taking a crane shot, infrared survey easily is carried out from ground compared to traditional
For mode, it is easier the over-heat inside problem of discovering device.Because being often presented as that top overheats after equipment over-heat inside,
And it takes a crane shot precisely it can be found that the effective means of this overheat.
Referring to Fig. 3, the embodiment of the present disclosure provides a kind of grid equipment fault detection method, applied to unmanned aerial vehicle (UAV) control
It stands, which can connect with UAV Communication, and the unmanned plane can be as shown in embodiment above.Shown in Fig. 3
The method is specific as follows.
In step 302, the gas-insulating and fully-enclosed combined electrical apparatus GIS equipment fault of the acquisition position of unmanned plane transmission is received
Data；Wherein, the acquisition position be the unmanned plane according to default airline operation when the GIS device surface temperature that records be more than
The position of preset temperature threshold, the default course line are set according to GPS map with reference to the GIS device distribution map.
In step 304, the GIS device fault data is drawn in the default course line, obtains the GPS of GIS device
Fault detect figure.It is described that the GIS device fault data is drawn in the default course line in an optional embodiment, packet
It includes：By position of failure point label in the default course line of the unmanned plane, formed with position of failure point distribution
GPS failure detection figure.
Optionally, the GIS device fault data includes at least one of following：Position of failure point, surface temperature value, failure
Point location drawing picture, trouble point length.In an optional embodiment, referring to Fig. 4, the method further includes step 306：By institute
It states GIS device fault data and is shown in corresponding position of failure point in the GPS failure detection figure.
All position of failure point of unmanned machine testing can be aggregated into a GPS device by the embodiment of the present disclosure
In topographic map, and show dependent failure data (such as position of failure point, trouble point length, temperature value, position of failure point image
Deng).Not only the workload of staff had been greatly saved, but also had greatly improved work efficiency, has also enhanced the accurate of testing result
It spends and comprehensive.
Referring to Fig. 5, the embodiment of the present disclosure also provides a kind of grid equipment fault detect unmanned plane, including：Infrared detection
Module 500, heat sensor 501, logging modle 502.The operation principle of each module is as follows.
Infrared detection module, fingerprint identification module 500, for acquiring the surface temperature of gas-insulating and fully-enclosed combined electrical apparatus GIS equipment.It is optional
, infrared detection module, fingerprint identification module 500 can be infrared detection sensor.
Heat sensor 501, for when the first surface temperature of acquisition is more than preset temperature threshold, being sent to logging modle
Overheat instruction.
Logging modle 502 corresponds to acquisition position for when receiving overheat instruction, recording the first surface temperature
GIS device fault data, and the GIS device fault data is sent to unmanned aerial vehicle (UAV) control station.
Referring to Fig. 6, the embodiment of the present disclosure provides a kind of unmanned aerial vehicle (UAV) control station, including：Receiving module 600 and mapping module
601.The operation principle of each module is as follows.
Receiving module 600, the gas-insulating and fully-enclosed combined electrical apparatus GIS for receiving the acquisition position of unmanned plane transmission are set
Standby fault data；Wherein, the acquisition position be the unmanned plane according to default airline operation when the GIS device surface temperature that records
More than the position of preset temperature threshold, the default course line is set degree according to GPS map with reference to the GIS device distribution map.
Mapping module 601 for the GIS device fault data to be drawn in the default course line, obtains GIS device
GPS failure detection figure.
In conclusion the embodiment of the present disclosure at least has the advantages that：
1st, the embodiment of the present disclosure carries out infrared detection using unmanned plane then has 360 degree of shooting angle, can be from very much
The angle observed is difficult to from ground and carries out fever image taking, can implement distributed measurement to the temperature of multiple contacts.
2nd, the embodiment of the present disclosure is by having the function of that the unmanned plane of infrared detection moves ahead according to default course line, when discovery surface temperature
Degree more than preset temperature threshold trouble point when, the GIS device fault data of the automatic corresponding acquisition position of record, and by the GIS
Equipment fault data send back unmanned aerial vehicle (UAV) control station.Then proceed to by pre-editing default airline operation, until default course line
Flight terminates, in such manner, it is possible to which all position of failure point can be aggregated into a GPS device topographic map, and shows phase
Close fault data (such as position of failure point, trouble point length, temperature value, position of failure point image etc.).This scheme both saved significantly
The workload of staff has been saved, and has been greatly improved work efficiency, has also enhanced the accuracy of testing result and comprehensive.
Infrared detection principle based on multi-rotor unmanned aerial vehicle：Rotor wing unmanned aerial vehicle due to can with VTOL landing, hovering and
Low-speed operations, thus closely, low-speed motion or keep for a long time same visual angle observation mission need using rotor nobody
Machine is completed.Multi-rotor unmanned aerial vehicle can still complete the ability of flight when there is single rotor to damage, safety and flexibility are high.At present
Multi-rotor unmanned aerial vehicle made of existing use insulating composite material, is distributed with around in the substation of high-voltage charged body, will not
The problem of impaired of getting an electric shock occurs.Traditional infrared detection carries out on ground, and shooting angle is limited, is carried out using multi-rotor unmanned aerial vehicle
Infrared detection then has 360 degree of shooting angle, can carry out fever image taking from much the angle observed is difficult to from ground.
By the way that on unmanned aerial vehicle (UAV) control station, according to GIS topographic map editors course line, unmanned plane heat sensor sets overtemperature
Standard value (threshold value), when detecting more than this standard, system automatic alarm and record related data (such as trouble point position
Put, temperature value etc.) feed back to unmanned aerial vehicle (UAV) control station.In this way, after the completion of preliminary preparation, unmanned plane takes off, and is advised according to realizing
Draw track move ahead, when finding trouble point, self recording apparatus photo and trouble point device location, then proceed to by pre-editing
Track is flown, until planned trajectory flight terminates, in this way, all position of failure point are all aggregated into a GPS map, and is tied
Close related data (such as position of failure point, trouble point length, temperature value etc.).The work of staff had both been greatly saved in this scheme
It measures, and greatly improves work efficiency, also enhance the accuracy of testing result and comprehensive.
Unmanned plane can carry out infrared survey compared to traditional easily from the hot spot for equipment of taking a crane shot in the air from ground
Mode for, it is easier the over-heat inside problem of discovering device.Because top mistake is often presented as after equipment over-heat inside
Heat, and take a crane shot precisely it can be found that the effective means of this overheat.This innovative point can embody in patent description.
The apparatus embodiments described above are merely exemplary, wherein the unit illustrated as separating component can
To be or may not be physically separate, the component shown as unit may or may not be physics list
Member, you can be located at a place or can also be distributed in multiple network element.It can be selected according to the actual needs
In some or all of module realize the purpose of this embodiment scheme.Those of ordinary skill in the art are not paying creativeness
Labour in the case of, you can to understand and implement.Through the above description of the embodiments, those skilled in the art can be with
Each embodiment is well understood can add the mode of required general hardware platform to realize by software, naturally it is also possible to logical
Cross hardware.Based on such understanding, part that above-mentioned technical proposal substantially in other words contributes to the prior art can be with
The form of software product embodies, which can store in a computer-readable storage medium, such as ROM/
RAM, magnetic disc, CD etc., used including some instructions so that computer equipment (can be personal computer, server or
Person's network equipment etc.) perform method described in certain parts of each embodiment or embodiment.
Finally it should be noted that：Above example is only to illustrate the technical solution of the disclosure, rather than its limitations；Although
The disclosure is described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that：It still may be used
To modify to the technical solution recorded in foregoing embodiments or carry out equivalent replacement to which part technical characteristic；
And these modification or replace, each embodiment technical solution of the disclosure that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of grid equipment fault detection method, which is characterized in that described applied to having the function of the unmanned plane of infrared detection
Method includes：
When according to default airline operation, the surface temperature of GIS device is acquired by infrared detection function；Wherein, it is described default
Course line is set according to GPS map with reference to the GIS device distribution map；
When the first surface temperature of acquisition is more than preset temperature threshold, records the first surface temperature and correspond to acquisition position
GIS device fault data, and the GIS device fault data is sent to unmanned aerial vehicle (UAV) control station.
2. the fault detection method of grid equipment according to claim 1, which is characterized in that the GIS device number of faults
According to including at least one of following：Position of failure point, surface temperature value, position of failure point image, trouble point length.
3. the fault detection method of grid equipment according to claim 1 or 2, which is characterized in that the GIS device failure
Data include position of failure point, then described the GIS device fault data is sent to unmanned aerial vehicle (UAV) control station to include：It will the event
Barrier point a position be sent to unmanned aerial vehicle (UAV) control station so that the unmanned aerial vehicle (UAV) control station by the position of failure point mark it is described nobody
In the default course line of machine, the GPS failure detection figure with position of failure point distribution is formed.
4. the fault detection method of grid equipment according to claim 1, which is characterized in that described by the GIS device
Fault data is sent to after unmanned aerial vehicle (UAV) control station, is further included：
Continue to fly from current failure point position according to default course line, repeat and the GIS is acquired by infrared detection function
The surface temperature of equipment and acquisition second surface temperature be more than preset temperature threshold when, record the second surface temperature
The GIS device fault data is simultaneously sent to unmanned aerial vehicle (UAV) control by the GIS device GIS device fault data of the corresponding acquisition position of degree
The step of standing, until the default course line of having flown.
5. the fault detection method of grid equipment according to claim 1, which is characterized in that the unmanned plane passes through infrared
Detection function acquires the surface temperature of GIS device, including：
The unmanned plane presets the surface temperature of top position by infrared detection function acquisition GIS device.
6. a kind of grid equipment fault detection method, which is characterized in that applied to unmanned aerial vehicle (UAV) control station, the method includes：
Receive the GIS device fault data of the acquisition position of unmanned plane transmission；Wherein, the acquisition position be the unmanned plane by
The GIS device surface temperature recorded during according to default airline operation be more than preset temperature threshold position, the default course line according to
GPS map is set with reference to the GIS device distribution map；
The GIS device fault data is drawn in the default course line, obtains the GPS failure detection figure of GIS device.
7. grid equipment fault detection method according to claim 6, which is characterized in that the GIS device fault data
Including at least one of following：Position of failure point, surface temperature value, position of failure point image, trouble point length.
8. the grid equipment fault detection method described according to claim 6 or 7, which is characterized in that described by the GIS device
Fault data is drawn in the default course line, including：The position of failure point is marked in the default course line of the unmanned plane
In, form the GPS failure detection figure with position of failure point distribution.
9. a kind of grid equipment fault detect unmanned plane, which is characterized in that including：
Infrared detection module, fingerprint identification module, for acquiring the surface temperature of GIS device；
Heat sensor, for when the first surface temperature of acquisition is more than preset temperature threshold, sending overheat to logging modle and referring to
It enables；
Logging modle, for when receiving overheat instruction, recording the GIS device that the first surface temperature corresponds to acquisition position
Fault data, and the GIS device fault data is sent to unmanned aerial vehicle (UAV) control station.
10. a kind of unmanned aerial vehicle (UAV) control station, which is characterized in that including：
Receiving module, for receiving the gas-insulating and fully-enclosed combined electrical apparatus GIS equipment fault of the acquisition position of unmanned plane transmission
Data；Wherein, the acquisition position be the unmanned plane according to default airline operation when the GIS device surface temperature that records be more than
The position of preset temperature threshold, the default course line are set according to GPS map with reference to the GIS device distribution map；
Mapping module for the GIS device fault data to be drawn in the default course line, obtains the GPS events of GIS device
Barrier detection figure.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711204457.4A CN108195470A (en) | 2017-11-27 | 2017-11-27 | Grid equipment fault detection method, unmanned plane and unmanned aerial vehicle (UAV) control station |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711204457.4A CN108195470A (en) | 2017-11-27 | 2017-11-27 | Grid equipment fault detection method, unmanned plane and unmanned aerial vehicle (UAV) control station |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108195470A true CN108195470A (en) | 2018-06-22 |
Family
ID=62573145
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711204457.4A Pending CN108195470A (en) | 2017-11-27 | 2017-11-27 | Grid equipment fault detection method, unmanned plane and unmanned aerial vehicle (UAV) control station |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108195470A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108957240A (en) * | 2018-08-09 | 2018-12-07 | 炜呈智能电力科技（杭州）有限公司 | Electric network fault is remotely located method and system |
| CN108989450A (en) * | 2018-08-06 | 2018-12-11 | 肇庆市高新区甜慕新能源技术有限公司 | A kind of system and method carrying out facilities management based on internet of things sensors |
| CN109533391A (en) * | 2018-11-23 | 2019-03-29 | 中国电力科学研究院有限公司 | A kind of method and system for testing Sichuan-Tibet area unmanned plane cruising inspection system applicability |
| CN110443908A (en) * | 2019-07-04 | 2019-11-12 | 广州科易光电技术有限公司 | A kind of electric inspection process method and system based on unmanned plane |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102589524A (en) * | 2011-01-13 | 2012-07-18 | 华北电网有限公司北京超高压公司 | Power line patrolling method |
| CN105700544A (en) * | 2016-04-08 | 2016-06-22 | 暨南大学 | UAV tour inspection system and implementation method for electrical equipment of photovoltaic power station |
| CN106226773A (en) * | 2016-06-28 | 2016-12-14 | 国家电网公司 | A kind of thermometric based on unmanned plane application and range-measurement system and method |
| CN106780825A (en) * | 2016-12-09 | 2017-05-31 | 广东电网有限责任公司肇庆供电局 | Power network line inspection device |
| CN206459749U (en) * | 2016-12-21 | 2017-09-01 | 天津华科力源科技发展有限公司 | Unmanned plane power-line patrolling failure detector |
-
2017
- 2017-11-27 CN CN201711204457.4A patent/CN108195470A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102589524A (en) * | 2011-01-13 | 2012-07-18 | 华北电网有限公司北京超高压公司 | Power line patrolling method |
| CN105700544A (en) * | 2016-04-08 | 2016-06-22 | 暨南大学 | UAV tour inspection system and implementation method for electrical equipment of photovoltaic power station |
| CN106226773A (en) * | 2016-06-28 | 2016-12-14 | 国家电网公司 | A kind of thermometric based on unmanned plane application and range-measurement system and method |
| CN106780825A (en) * | 2016-12-09 | 2017-05-31 | 广东电网有限责任公司肇庆供电局 | Power network line inspection device |
| CN206459749U (en) * | 2016-12-21 | 2017-09-01 | 天津华科力源科技发展有限公司 | Unmanned plane power-line patrolling failure detector |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108989450A (en) * | 2018-08-06 | 2018-12-11 | 肇庆市高新区甜慕新能源技术有限公司 | A kind of system and method carrying out facilities management based on internet of things sensors |
| CN108957240A (en) * | 2018-08-09 | 2018-12-07 | 炜呈智能电力科技（杭州）有限公司 | Electric network fault is remotely located method and system |
| CN109533391A (en) * | 2018-11-23 | 2019-03-29 | 中国电力科学研究院有限公司 | A kind of method and system for testing Sichuan-Tibet area unmanned plane cruising inspection system applicability |
| CN110443908A (en) * | 2019-07-04 | 2019-11-12 | 广州科易光电技术有限公司 | A kind of electric inspection process method and system based on unmanned plane |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108195470A (en) | Grid equipment fault detection method, unmanned plane and unmanned aerial vehicle (UAV) control station | |
| CN102510011B (en) | Method for realizing the intelligent tour-inspection of power tower based on miniature multi-rotor unmanned helicopter | |
| Luque-Vega et al. | Power line inspection via an unmanned aerial system based on the quadrotor helicopter | |
| US8666553B2 (en) | Line inspection robot and system | |
| Iversen et al. | Design, integration and implementation of an intelligent and self-recharging drone system for autonomous power line inspection | |
| CN108957240A (en) | Electric network fault is remotely located method and system | |
| US20170285092A1 (en) | Directional unmanned aerial vehicle (uav) localization of power line ultraviolet corona using point detectors | |
| US20130173227A1 (en) | Thermal powerline rating and clearance analysis using local thermal sensor | |
| CN103455036A (en) | Scene aerial patrol method and aircraft | |
| CN106772340A (en) | For the screen of trees measuring system and method for overhead transmission line | |
| CN109376587A (en) | Communication iron tower intelligent inspection system and method are surveyed in detection based on Internet of Things | |
| CN106019083A (en) | Unmanned plane electric power line patrol comprehensive geography information system | |
| KR102178393B1 (en) | Transmission line monitoring apparatus using unmanned aerial vehicles | |
| CN105955301A (en) | Ground-station-based real-time control method for flight of unmanned aerial vehicle | |
| CN104426090A (en) | Intelligent cable inspection robot | |
| CN105655920A (en) | Multifunctional air-ground dual-purpose electric unmanned aerial vehicle | |
| CN107727997A (en) | A kind of transmission line of electricity makes an inspection tour flight monitoring system online | |
| CN106602468A (en) | Unmanned aerial vehicle automatic inspection power transmission line system based on image identification and differential GPS | |
| Moore et al. | Technologies and operations for high voltage corona detection with UAVs | |
| CN109470368A (en) | A kind of online checking system of the infrared temperature sensing device of unmanned plane power equipment | |
| Khalyasmaa et al. | Diagnostic system for OHL state assessment | |
| CN105680368B (en) | A kind of method for carrying out fault detect using unlimited continuation of the journey high-voltage maintenance aircraft | |
| CN106501672A (en) | A kind of electric power overhaul high tension cable crust breakage detection system | |
| CN107402328B (en) | Airborne system for assessing lightning strike severity | |
| RU2710208C1 (en) | "intelligent" remote strut and method of monitoring overhead lines |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180622 |