CN106710121A - Forest fire positioning device based on bionic inductor - Google Patents
Forest fire positioning device based on bionic inductor Download PDFInfo
- Publication number
- CN106710121A CN106710121A CN201710111474.7A CN201710111474A CN106710121A CN 106710121 A CN106710121 A CN 106710121A CN 201710111474 A CN201710111474 A CN 201710111474A CN 106710121 A CN106710121 A CN 106710121A
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- China
- Prior art keywords
- sensor
- forest fire
- bionical
- control assembly
- assembly
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Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/005—Fire alarms; Alarms responsive to explosion for forest fires, e.g. detecting fires spread over a large or outdoors area
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64C—AEROPLANES; HELICOPTERS
- B64C27/00—Rotorcraft; Rotors peculiar thereto
- B64C27/04—Helicopters
- B64C27/08—Helicopters with two or more rotors
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64D—EQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENTS OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
- B64D47/00—Equipment not otherwise provided for
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
- B64U10/00—Type of UAV
- B64U10/10—Rotorcrafts
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
- B64U50/00—Propulsion; Power supply
- B64U50/10—Propulsion
- B64U50/19—Propulsion using electrically powered motors
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
- B64U2101/00—UAVs specially adapted for particular uses or applications
Abstract
The invention discloses a forest fire positioning device based on a bionic inductor. The forest fire positioning device comprises a power supply assembly, a sensor assembly, a control assembly, a driving assembly and a mechanical assembly, wherein the sensor assembly, the control assembly and the driving assembly are sequentially connected; the power supply assembly is connected with the sensor assembly, the control assembly and the driving assembly respectively; the mechanical assembly is connected with the sensor assembly, the control assembly and the driving assembly respectively; the power supply assembly, the sensor assembly, the control assembly and the driving assembly are respectively arranged on the mechanical module and are supported by the mechanical module; and the sensor assembly comprises a temperature sensor, a smoke sensor and a bionic infrared inductor. According to the forest fire positioning device based on the bionic inductor, the bionic infrared inductor is combined with other components, so that the center of forest fire can be rapidly and accurately positioned, the positioning error is relatively small, and the instantaneity is good.
Description
Technical field
The present invention relates to forest fire field of locating technology, particularly a kind of forest fire positioning based on bionical perceptron
Device.
Background technology
Forest is not only the essential resource of human social development, and to maintaining earth ecology balance with great work
With.But in the last few years, because various factors causes forest fire frequently to occur, the forest reserves are caused with greatly destruction,
Therefore research forest fire is a significant job.And studying forest fire must study forest fire positioning
Problem.
At present, Forest Fire localization method can be roughly divided into three classes:Forest fires localization method based on satellite remote sensing, based on video
The Forest Fire localization method of monitoring and the Forest Fire localization method based on wireless sensor network.Forest Fire based on satellite remote sensing
The comparing morning of calamity localization method development, also comparative maturity, can monitor wood land on a large scale, but obtain by means of which
The spatial resolution of satellite remote sensing images is not too much high, easily by the interference such as high temperature saturation, strong reflection face, cloud layer, while setting figure
As the threshold value for the treatment of is extremely difficult, it is difficult to extract the pixel of small fire, and easily produce wrong report, failing to report phenomenon.Additionally, satellite weight
Time required for monitoring identical a piece of wood land again is more long, it is impossible to which the quick type for determining heat generating spot is, it is necessary to send aircraft
Or manually further confirmed to heat generating spot region.Although video monitoring can in real time find the condition of a fire, monitoring personnel is needed
Screen and frequent switching multiple monitor are stared at for a long time, easily produce visual fatigue and failing to report phenomenon occurs.Additionally, fire position
The determination put is also required to be capable of the surveillant of skilled operation to determine, accuracy is poor.Forest fires based on wireless sensor network
Localization method is needed by various physically or chemically parameters in a large amount of high density parameter acquisition node Real-time Collection wood lands, section
Count out very big, topological structure is complicated and changeable, and timing tracking accuracy is low.
2015, Helmut Schmitz, Zupeng Zhou et al. had found, when there is forest fire, to live in Australia state
Ashes beetle can quickly arrive burning things which may cause a fire disaster, or even beetle outside 80 kilometers of hot spot can similarly find burning things which may cause a fire disaster, lead to
Cross analysis and research and shown that beetle is the mechanism that forest burning things which may cause a fire disaster is found by two infrared organs of itself chest.
In sum, forest fire positioning method remains unchanged and rests on a low-level situation, is mainly reflected in position error
The aspect such as larger, real-time is poor and fund expenditure is larger, and have not yet to see to enter using the method based on bionic
Row positioning forest fire.Thus research locating speed it is fast, accuracy is high, the forest fire locating system of high precision, low cost into
It is the task of top priority.
The content of the invention
The purpose of the present invention is to solve the shortcomings of the prior art, and a kind of forest fire based on bionical perceptron is provided
Positioner, the device can quickly and accurately position forest fire center, and position error is smaller, real-time is good, low cost.
Realizing the technical scheme of the object of the invention is:
A kind of forest fire positioner based on bionical perceptron, including power supply module, sensor cluster, control assembly, drive
Dynamic component and mechanical component;Sensor cluster, control assembly and drive component are linked in sequence;Power supply module respectively with sensor group
Part, control assembly, drive component connection;Mechanical component is also connected with sensor cluster, control assembly, drive component respectively;Electricity
Source component, sensor cluster, control assembly, drive component are respectively provided on mechanical component, are supported by mechanical component;It is wherein described
Sensor cluster include temperature sensor, Smoke Sensor and infrared sensor.
Described mechanical component, including base and four rotor supports, four rotor branch are erected on base;Wherein described four
Rotor support, including top panel, bottom panel, panel support post, wing;Panel support post connects top panel and bottom panel, machine
The wing is located at the two ends of top panel and bottom panel.
Described infrared sensor be bionical infrared perception device, including dished cover, shell, inner bag, heat transfer bar, induction element;
Dished cover is located at outer surface of outer cover top, and induction element is located at outer surface of outer cover bottom, and inner bag, heat transfer bar are located at enclosure;It is interior
Courage inner side surrounds heat transfer bar, and heat transfer bar one end extends to shell and is connected with dished cover, the other end and the outer casing bottom of the bar that conducts heat
Induction element is connected.
Described dished cover and shell is made up of nano heat insulating material, and nano heat insulating material is a kind of based on nanometer micropore principle
The new and effective heat-barrier material for developing;Inner bag is made up of aeroge or silicone material;Heat transfer bar is by single-layer graphene, stone
Black alkene band and graphene composite material are made;Induction element is made up of thermal sensitive ceramic material, by adulterating or making stoichiometry
The methods such as lattice defect are caused to obtain semiconduction than deviation.
Described Smoke Sensor is NIS-05A ion type smog sensors, is a kind of low actinomorphic standard transducer.
Described temperature sensor is the quasi- digital sensor of the cmos compatible resonant mode of silicon substrate front etch processing, by
Difference of thermal expansion coefficient maximum Al and SiO in CMOS technology2Constitute, with sensitivity high.
Described control assembly, including DSP microprocessors, ARM microprocessor, the input and sensor group of control assembly
The Smoke Sensor of part, temperature sensor, infrared sensor signal output part are connected;DSP microprocessors carry out algorithm computing,
ARM microprocessor carries out input and output, treatment and control of signal etc.;The fortune of the DSP microprocessors that double-core CPU takes full advantage of
The disposal ability of calculation ability and ARM microprocessor, not only makes up defect of the single core processor each in performance, also reduces control
The complexity of component.
Described drive component, drive component is located on the wing of four rotor supports of mechanical component, including propeller, is watched
Take motor, motor connection axle, electric baseboard, the input of drive component and the DSP microprocessors of control assembly and ARM microprocessors
Device signal output part is connected, and the output end of drive component is connected with mechanical component;Wherein propeller is connected with servomotor, electricity
Machine bottom board is connected with servomotor by motor connection axle.
Described power supply module is made up of solar power generation pond, batteries, power supply module and sensor cluster, control group
Part, drive component are connected, and are its power supply, are powered by batteries by solar cell for supplying power, evening daytime.
Solar energy lens are respectively provided with 4 wings of four described rotor supports, each solar energy lens lower section sets
One piece of solar cell is equipped with, solar energy lens are a kind of Fresnel Diffraction System, for assembling solar energy;Solar cell
The solar energy that solar energy lens are assembled is changed into electric energy and for remaining each several part is powered.
With other assemblies be combined bionical infrared perception device by a kind of forest fire positioner based on bionical perceptron,
The forest fire positioner can quickly and accurately position forest fire center, and position error is smaller, real-time is good.
Brief description of the drawings
Fig. 1 is a kind of forest fire positioning device structure block diagram based on bionical perceptron;
Fig. 2 is a kind of forest fire positioner stereogram based on bionical perceptron;
Fig. 3 is a kind of forest fire positioner front view based on bionical perceptron;
Fig. 4 is a kind of forest fire positioner top view based on bionical perceptron;
Fig. 5 is bionical infrared perception device structural representation;
Fig. 6 is a kind of forest fire positioner workflow diagram based on bionical perceptron;
In figure, the 1. infrared sensor of 2. sensor cluster of power supply module, 3. temperature sensor, 4. Smoke Sensor 5.
6. the base of 7. DSP microprocessors of control assembly, 8. ARM microprocessor, 9. drive component, 10. mechanical component 11.
The electric baseboard 18. of 12. 4 rotor support, 13. top panel, 14. bottom panel, 15. panel support post, 16. wing 17.
The heat transfer bar 25. of 23. inner bag of servomotor 19. motor connection axle, 20. propeller, 21. dished cover, 22. shell 24.
Induction element.
Specific embodiment
The present invention is further elaborated with reference to the accompanying drawings and examples, but is not limitation of the invention.
Embodiment:
As shown in Figure 1, Figure 2, shown in Fig. 3, Fig. 4 and Fig. 5:
A kind of forest fire positioner based on bionical perceptron, including power supply module 1, sensor cluster 2, control assembly 6,
Drive component 9 and mechanical component 10;Sensor cluster 2, control assembly 6 and drive component 9 are linked in sequence;Power supply module 1 is distinguished
It is connected with sensor cluster 2, control assembly 6, drive component 9;Mechanical component 10 also respectively with sensor cluster 2, control assembly
6th, drive component 9 is connected;Power supply module 1, sensor cluster 2, control assembly 6, drive component 9 are respectively provided at mechanical component 10
On, supported by mechanical component 10;Wherein described sensor cluster 2 includes temperature sensor 3, Smoke Sensor 4 and infrared biography
Sensor 5.
Described mechanical component 10, including the rotor support 12 of base 11 and four, four rotor supports 12 set on the pedestal 11;Its
Described in four rotor supports 12, including top panel 13, bottom panel 14, panel support post 15, wing 16;Panel support post 15 will
Top panel 13 and bottom panel 14 are connected, and wing 16 is located at the two ends of top panel 13 and bottom panel 14.
Described infrared sensor 5 be bionical infrared perception device, including dished cover 21, shell 22, inner bag 23, heat transfer bar 24,
Induction element 25;Dished cover 21 is located at the external surface top of shell 22, and induction element 24 is located at the outer surface bottom of shell 22, inner bag 23,
Heat transfer bar 24 is located inside shell 22;The inner side of inner bag 23 surrounds heat transfer bar 24, heat transfer bar 24 one end extend to shell 22 with it is convex
Lid 21 is connected, and the other end of the bar 24 that conducts heat is connected with the induction element 25 of the bottom of shell 22.
Described dished cover 21 and shell 22 is made up of nano heat insulating material, and nano heat insulating material is a kind of based on nanometer micropore
The new and effective heat-barrier material that principle is developed;Inner bag 23 is made up of aeroge or silicone material;Heat transfer bar 24 is by individual layer
Graphene, graphene ribbon and graphene composite material are made;Induction element 25 is made up of thermal sensitive ceramic material, by doping or
Deviate stoichiometric proportion and cause the methods such as lattice defect to obtain semiconduction.
Described Smoke Sensor 4 is NIS-05A ion type smog sensors, is a kind of low actinomorphic standard sensing
Device.
Described temperature sensor 3 is the quasi- digital sensor of the cmos compatible resonant mode of silicon substrate front etch processing,
It is made up of the maximum Al and SiO2 of difference of thermal expansion coefficient in CMOS technology, with sensitivity high.
Described control assembly 6, including DSP microprocessors 7, ARM microprocessor 8, input and the sensing of control assembly 6
The Smoke Sensor 4 of device assembly 2, temperature sensor 3, the signal output part of infrared sensor 5 are connected;DSP microprocessors 7 are carried out
Algorithm computing, ARM microprocessor 8 carries out input and output, treatment and control of signal etc.;The DSP that double-core CPU takes full advantage of is micro-
The operational capability of processor 7 and the disposal ability of ARM microprocessor 8, not only make up defect of the single core processor each in performance,
Also reduce the complexity of control assembly 6.
Described drive component 9, drive component 9 is located on the wing 16 of four rotor supports 12 of mechanical component 10, including
Propeller 20, servomotor 18, motor connection axle 19, electric baseboard 17, the input of drive component 9 and the DSP of control assembly 6
Microprocessor 7 and the signal output part of ARM microprocessor 8 are connected, and the output end of drive component 9 is connected with mechanical component 10;Its
Middle propeller 20 is connected with servomotor 18, and electric baseboard 17 is connected with servomotor 18 by motor connection axle 19.
Described power supply module 1 is made up of solar power generation pond, batteries, power supply module 1 and sensor cluster 2, control
Component processed 6, drive component 9 are connected, and are its power supply, are powered by batteries by solar cell for supplying power, evening daytime.
Solar energy lens are respectively provided with 4 wings 16 of four described rotor supports 12, under each solar energy lens
Side is provided with one piece of solar cell, and solar energy lens are a kind of Fresnel Diffraction System, for assembling solar energy;Solar energy
The solar energy that solar energy lens are assembled is changed into electric energy and for remaining each several part is powered by battery.
As shown in fig. 6, during using the device, after ground control centre determines cruise region, sent by wireless network and patrolled
Forest fire positioner is given in boat instruction, after receiving data, by data processing, control assembly control forest fire positioner
Start cruise.Initial Cruise Altitude is 1000M or so.Moved back and forth along cruise region border, and constantly drawn close to center.Simultaneously
The temperature sensor of sensory package, smokescope detector and infrared perception device have constantly detected whether abnormal conditions.Temperature is passed
Sensor, smokescope detector and infrared perception device are equipped with higher limit;There is one to surpass in temperature, smokescope, infrared three
Go out higher limit as abnormal conditions.Cruising altitude is reduced when abnormal conditions have been detected to 500m or so, is judged whether really
There is fire, if what is detected truly has abnormal conditions, send the elements of a fix to ground control centre, otherwise continue to cruise.
Claims (10)
1. a kind of forest fire positioner based on bionical perceptron, it is characterised in that including power supply module, sensor group
Part, control assembly, drive component and mechanical component;Sensor cluster, control assembly and drive component are linked in sequence;Power supply module
It is connected with sensor cluster, control assembly, drive component respectively;Mechanical component also respectively with sensor cluster, control assembly, drive
Dynamic component connection;Power supply module, sensor cluster, control assembly, drive component are respectively provided on mechanical component, by mechanical component
Support;Wherein described sensor cluster includes temperature sensor, Smoke Sensor and infrared sensor.
2. a kind of forest fire positioner based on bionical perceptron according to claim 1, it is characterised in that described
Mechanical component, including base and four rotor supports, four rotor branch are erected on base;Four wherein described rotor supports, bag
Include top panel, bottom panel, panel support post, wing;Panel support post connects top panel and bottom panel, and wing is located at top panel
With the two ends of bottom panel.
3. a kind of forest fire positioner based on bionical perceptron according to claim 1, it is characterised in that described
Infrared sensor be bionical infrared perception device, including dished cover, shell, inner bag, heat transfer bar, induction element;Dished cover is located at shell
External surface top, induction element is located at outer surface of outer cover bottom, and inner bag, heat transfer bar are located at enclosure;Inner side of liner is surrounded
Heat transfer bar, heat transfer bar one end extends to shell and is connected with dished cover, and the other end of the bar that conducts heat is connected with the induction element of outer casing bottom.
4. a kind of forest fire positioner based on bionical perceptron according to claim 1, it is characterised in that described
Dished cover and shell be made up of nano heat insulating material, nano heat insulating material be it is a kind of based on nanometer micropore principle develop it is new
Type high efficiency heat insulation material;Inner bag is made up of aeroge or silicone material;Heat transfer bar is by single-layer graphene, graphene ribbon and graphite
Alkene composite is made;Induction element is made up of thermal sensitive ceramic material, is caused by adulterating or making stoichiometric proportion to deviate
The methods such as lattice defect obtain semiconduction.
5. a kind of forest fire positioner based on bionical perceptron according to claim 1, it is characterised in that described
Smoke Sensor be NIS-05A ion type smog sensors, be a kind of low actinomorphic standard transducer.
6. a kind of forest fire positioner based on bionical perceptron according to claim 1, it is characterised in that described
Temperature sensor be silicon substrate front etch processing cmos compatible resonant mode quasi- digital sensor, by CMOS technology heat
Coefficient of expansion difference maximum Al and SiO2 is constituted, with sensitivity high.
7. a kind of forest fire positioner based on bionical perceptron according to claim 1, it is characterised in that described
Control assembly, including DSP microprocessors, ARM microprocessor, the input of control assembly senses with the smog of sensor cluster
Device, temperature sensor, infrared sensor signal output part are connected;DSP microprocessors carry out algorithm computing, ARM microprocessor
Carry out input and output, treatment and control of signal etc.;The operational capability and ARM of the DSP microprocessors that double-core CPU takes full advantage of
The disposal ability of microprocessor, not only makes up defect of the single core processor each in performance, also reduces the complexity of control assembly
Degree.
8. a kind of forest fire positioner based on bionical perceptron according to claim 1, it is characterised in that described
Drive component, drive component is located on the wing of four rotor supports of mechanical component, including propeller, servomotor, motor
Connecting shaft, electric baseboard, the input of drive component and the DSP microprocessors of control assembly and ARM microprocessor signal output
End connection, the output end of drive component is connected with mechanical component;Wherein propeller is connected with servomotor, electric baseboard with watch
Motor is taken to be connected by motor connection axle.
9. a kind of forest fire positioner based on bionical perceptron according to claim 1, it is characterised in that described
Power supply module be made up of solar power generation pond, batteries, power supply module and sensor cluster, control assembly, drive component
It is connected, is its power supply, is powered by batteries by solar cell for supplying power, evening daytime.
10. a kind of forest fire positioner based on bionical perceptron according to claim 2, it is characterised in that institute
Solar energy lens are respectively provided with 4 wings of the four rotor supports stated, each solar energy lens lower section is provided with one piece too
Positive energy battery, solar energy lens are a kind of Fresnel Diffraction System, for assembling solar energy;Solar cell is saturating by solar energy
The solar energy of mirror aggregation changes into electric energy and for remaining each several part is powered.
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CN201710111474.7A CN106710121A (en) | 2017-02-28 | 2017-02-28 | Forest fire positioning device based on bionic inductor |
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CN201710111474.7A CN106710121A (en) | 2017-02-28 | 2017-02-28 | Forest fire positioning device based on bionic inductor |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105778873A (en) * | 2014-12-22 | 2016-07-20 | 中石化胜利石油工程有限公司钻井工艺研究院 | Micro-emulsion for water base drilling fluid for blocking micro-cracks in shale stratums |
RU2716582C2 (en) * | 2019-03-27 | 2020-03-12 | Федеральное государственное бюджетное учреждение науки "Институт физики атмосферы им. А.М. Обухова Российской академии наук" | Method of determining risk of air pollution in moscow by combustion products formed during peat-bog fires |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1251168A (en) * | 1997-04-02 | 2000-04-19 | 布劳恩股份有限公司 | Measuring tip for radiation thermometer |
EP1944590A1 (en) * | 2002-03-18 | 2008-07-16 | Honeywell International Inc. | Carbon nanotube sensor |
CN101774530A (en) * | 2010-02-03 | 2010-07-14 | 电子科技大学 | Microbolometer and preparation method thereof |
EP2689809A1 (en) * | 2012-07-24 | 2014-01-29 | The Boeing Company | Wildfire arrest and prevention system |
CN204010209U (en) * | 2014-05-30 | 2014-12-10 | 国家电网公司 | Forest fire early-warning system based on depopulated helicopter |
CN105427661A (en) * | 2015-12-14 | 2016-03-23 | 山东科技大学 | Large-sized parking space detection system based on solar unmanned aerial vehicle group and working method thereof |
CN205177061U (en) * | 2015-11-14 | 2016-04-20 | 深圳市易特科信息技术有限公司 | A unmanned aerial vehicle early warning system for conflagration rescue |
CN205327425U (en) * | 2016-02-03 | 2016-06-22 | 仲恺农业工程学院 | Many rotor unmanned aerial vehicle device of defence forest fire |
CN105912008A (en) * | 2016-06-13 | 2016-08-31 | 合肥赛为智能有限公司 | Electric power iron tower inspection unmanned plane flight control system and flight control method thereof |
CN106153202A (en) * | 2016-07-18 | 2016-11-23 | 中国科学院重庆绿色智能技术研究院 | A kind of non-brake method broadband Infrared Detectors |
CN205892743U (en) * | 2016-07-19 | 2017-01-18 | 中国科学院重庆绿色智能技术研究院 | Porous carbon nanometer film and infrared micro -bolometer thereof |
CN106394893A (en) * | 2016-12-12 | 2017-02-15 | 中国民用航空飞行学院 | Multifunctional solar multi-rotor |
-
2017
- 2017-02-28 CN CN201710111474.7A patent/CN106710121A/en active Pending
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1251168A (en) * | 1997-04-02 | 2000-04-19 | 布劳恩股份有限公司 | Measuring tip for radiation thermometer |
EP1944590A1 (en) * | 2002-03-18 | 2008-07-16 | Honeywell International Inc. | Carbon nanotube sensor |
CN101774530A (en) * | 2010-02-03 | 2010-07-14 | 电子科技大学 | Microbolometer and preparation method thereof |
EP2689809A1 (en) * | 2012-07-24 | 2014-01-29 | The Boeing Company | Wildfire arrest and prevention system |
CN204010209U (en) * | 2014-05-30 | 2014-12-10 | 国家电网公司 | Forest fire early-warning system based on depopulated helicopter |
CN205177061U (en) * | 2015-11-14 | 2016-04-20 | 深圳市易特科信息技术有限公司 | A unmanned aerial vehicle early warning system for conflagration rescue |
CN105427661A (en) * | 2015-12-14 | 2016-03-23 | 山东科技大学 | Large-sized parking space detection system based on solar unmanned aerial vehicle group and working method thereof |
CN205327425U (en) * | 2016-02-03 | 2016-06-22 | 仲恺农业工程学院 | Many rotor unmanned aerial vehicle device of defence forest fire |
CN105912008A (en) * | 2016-06-13 | 2016-08-31 | 合肥赛为智能有限公司 | Electric power iron tower inspection unmanned plane flight control system and flight control method thereof |
CN106153202A (en) * | 2016-07-18 | 2016-11-23 | 中国科学院重庆绿色智能技术研究院 | A kind of non-brake method broadband Infrared Detectors |
CN205892743U (en) * | 2016-07-19 | 2017-01-18 | 中国科学院重庆绿色智能技术研究院 | Porous carbon nanometer film and infrared micro -bolometer thereof |
CN106394893A (en) * | 2016-12-12 | 2017-02-15 | 中国民用航空飞行学院 | Multifunctional solar multi-rotor |
Non-Patent Citations (2)
Title |
---|
ZUPENG ZHOU等: ""Function Modeling of the Infrared Organ of "Little Ash Beetle" Acanthocnemus Nigricans(Coleoptera, Acanthocnemidae)"", 《JOURNAL OF BIONIC ENGINEERING》 * |
詹庆斌等: ""喜火迹地森林昆虫及林火感受器研究进展"", 《世界林业研究》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105778873A (en) * | 2014-12-22 | 2016-07-20 | 中石化胜利石油工程有限公司钻井工艺研究院 | Micro-emulsion for water base drilling fluid for blocking micro-cracks in shale stratums |
RU2716582C2 (en) * | 2019-03-27 | 2020-03-12 | Федеральное государственное бюджетное учреждение науки "Институт физики атмосферы им. А.М. Обухова Российской академии наук" | Method of determining risk of air pollution in moscow by combustion products formed during peat-bog fires |
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Application publication date: 20170524 |