CN203675333U - Wireless network optimization and survey system based on multi-rotor unmanned aerial vehicle - Google Patents

Wireless network optimization and survey system based on multi-rotor unmanned aerial vehicle Download PDF

Info

Publication number
CN203675333U
CN203675333U CN201320739653.2U CN201320739653U CN203675333U CN 203675333 U CN203675333 U CN 203675333U CN 201320739653 U CN201320739653 U CN 201320739653U CN 203675333 U CN203675333 U CN 203675333U
Authority
CN
China
Prior art keywords
survey
flight
network optimization
survey system
radio 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.)
Expired - Lifetime
Application number
CN201320739653.2U
Other languages
Chinese (zh)
Inventor
徐劼敏
许崇祥
刘欣川
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Mobile Group Shanghai Co Ltd
Original Assignee
China Mobile Group Shanghai Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China Mobile Group Shanghai Co Ltd filed Critical China Mobile Group Shanghai Co Ltd
Priority to CN201320739653.2U priority Critical patent/CN203675333U/en
Application granted granted Critical
Publication of CN203675333U publication Critical patent/CN203675333U/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Images

Landscapes

  • Radio Relay Systems (AREA)

Abstract

The utility model discloses a wireless network optimization and survey system based on a multi-rotor unmanned aerial vehicle. The system comprises a flight system, a ground station system, a survey system, and a drive test system. The flight system, the survey system, and the drive test system respectively communicate with the ground station system in a wireless manner. The survey system and the drive test system are respectively disposed on the flight system. The wireless network optimization and survey system based on the multi-rotor unmanned aerial vehicle uses the relatively advanced multi-rotor unmanned aerial vehicle as a carrier, compared with a conventional fixed wing aerial vehicle, the aerial vehicle can realize a hovering function, so the system is suitable to be used for communication station survey and such fixed point operation. The wireless network optimization and survey system based on the multi-rotor unmanned aerial vehicle can test wireless communication signals in special areas, and has a function of preliminary survey on communication stations, and the system can make up disadvantages of the prior art.

Description

A kind of radio network optimization based on many rotor unmanned aircrafts and survey system
Technical field
The utility model relates to a kind of wireless network communication technique, particularly a kind of radio network optimization based on many rotor unmanned aircrafts and survey system.
Background technology
Communication site is most important part in communication network, for ensureing the normal operation of communication network, need regularly site apparatus to be patrolled and examined, but it is large to have overlay area in the communication base station in suburb, the features such as wild environment complexity, are patrolled and examined and the work of surveying has brought larger difficulty.Traditional patrol and examine and the work of surveying needs professional to ascend a height, therefore spended time is long, and human cost is high, and some test items only depend on conventional method to be difficult to, and also the personnel's of surveying life security has been formed to serious threat.
The new website construction of communication network need to be surveyed the terrace situation of building, to determine whether being applicable to construction new site, needs to have the aerial photograph of surrounding buildings environment as siting of station foundation simultaneously.And existing aerial photograph acquisition methods normally passes through Google or Baidu's map, this electron-like map definition is lower, and renewal speed is slower, is difficult to actual building environment in full accord.
The drive test work of communication network is to carry testing equipment along road driving by vehicle, to measure the data such as radio signal level intensity, quality on vehicle line.And for the region such as special area is as along the line in river course, forest, coastline, vehicle cannot arrive, and is difficult to effectively measure.And for example F1 cycling track, the motorization drive test carrier that Deng compare great region, Olympic Sailing competition competition field is current not applicable yet, manually carries testing equipment and tests on foot and can only adopt.
The drive test work of communication network is the downstream signal to wireless network, namely the air interface of GSM (Um) is tested, be mainly used in obtaining following data: Serving cell signal strength signal intensity, speech quality, the signal strength signal intensity indication Ec of neighbor cell and signal quality indication C/I, the signaling procedure that switches and access, code is known in community, area identity, service building success rate, switching proportion, up-downgoing average throughput, the residing geographical location information of mobile phone, call manager, mobile management, business setup delay equivalence, its effect is mainly used for the assessment of network quality and the optimization of wireless network.
Can substitute at present the mode that artificial upper station is surveyed, selectable have satellite remote sensing, manned aircraft or the dirigible method such as take photo by plane.Satellite remote sensing is subject to the impact of meteorological cloud cover and heavily visits restriction and the expense in cycle higher, is almost impossible implement.Wherein comparatively practical is the method that adopts manned aircraft or dirigible to carry out air observation, is adopted in American-European countries.Particularly helicopter or dirigible have maneuverability, are not subject to the advantage of landform restriction, and can be from multi-angle Continuous Observation, can find some artificial upper stations ND problem of patrolling.At present, domestic to manned helicopter or dirigible for the trial of communication site's inspection in the starting stage.The mode of this use aircraft can greatly be increased work efficiency, but due to the control of China's air resource and the restriction of relevant institutions, need to carry out a large amount of preparation such as pilot's training, flight path application, to aircraft maintenance, maintenance needs great expense and longer cycle simultaneously, implementation cost is high, and flight is subject to meteorological condition restriction more, is difficult to realize regular visit.
Utility model content
The purpose of this utility model is open a kind of radio network optimization based on many rotor unmanned aircrafts and survey system, cannot carry out the problem effectively detecting to special area wireless network to solve in prior art.
Radio network optimization based on many rotor unmanned aircrafts of the present utility model and survey system, comprise: flight system, earth station system, survey system, driver test system, flight system, survey system and driver test system carries out radio communication with earth station system respectively; Survey system, driver test system is separately positioned on flight system.
In technique scheme, flight system comprises: remote control reception equipment and flight control system, remote control reception equipment is connected with flight control system.
In technique scheme, earth station system comprises: ground station control unit and wireless image receiving equipment, the remote control reception equipment of ground station control unit and flight system carries out radio communication.
In technique scheme, the system of surveying comprises: camera-shooting and recording device, increase steady The Cloud Terrace, wireless image transmitting apparatus, base station signal finder, camera-shooting and recording device is arranged on and increases on steady The Cloud Terrace; Increase steady The Cloud Terrace, base station signal finder is connected with the flight control system of flight system respectively, the ground station control unit that increases steady The Cloud Terrace and earth station system carries out radio communication.
In technique scheme, the wireless image transmitting apparatus of surveying system is 5.8GHz frequency range graphic transmission equipment, and the wireless image receiving equipment of this wireless image transmitting apparatus and earth station system carries out radio communication.
In technique scheme, driver test system comprises airborne computer and drive test mobile phone, and airborne computer is connected with drive test mobile phone, and the ground station control unit of airborne computer and earth station system carries out radio communication.
In technique scheme, the power supply of the power supply of the airborne computer of driver test system, drive test mobile phone is connected with the power supply of flight control system respectively.
The radio network optimization of the utility model based on many rotor unmanned aircrafts and survey system, adopt comparatively advanced many rotor unmanned aircrafts as carrier, this aircraft can be realized the function of hovering compared with traditional Fixed Wing AirVehicle, be applicable to communication website and survey the work that this class need be fixed a point.
Radio network optimization and the survey system of the utility model based on many rotor unmanned aircrafts can be carried out to special area the test of wireless communication signals, also has the function that communication site is tentatively surveyed, and can make up the deficiencies in the prior art.
Accompanying drawing explanation
Fig. 1 is radio network optimization based on many rotor unmanned aircrafts of the present utility model and surveys the Organization Chart of system;
Fig. 2 is the configuration diagram of many rotor unmanned aircrafts of the present utility model.
Mark the following drawings mark thereon by reference to the accompanying drawings:
1-flight system, 11-remote control reception equipment, 12-flight control system, 13-fuselage, 14-rotor, 15-flight controller, 16-undercarriage, 17-power supply, 18-The Cloud Terrace support;
2-earth station system, 21-ground station control unit, 22-wireless image receiving equipment;
3-surveys system, 31-wireless image transmitting apparatus, and 32-camera-shooting and recording device, 33-increases steady The Cloud Terrace, 34-base station signal finder;
4-driver test system, the airborne computer of 41-, 42-drive test mobile phone.
Embodiment
Below in conjunction with accompanying drawing, several embodiments of the present utility model are described in detail, but are to be understood that protection range of the present utility model is not subject to the restriction of embodiment.
For solve in prior art, exist cannot carry out the problem effectively detecting to special area wireless network, proposed a kind of radio network optimization based on many rotor unmanned aircrafts and surveyed system.
Many rotor unmanned aircrafts are non-manned vehicles of driving mechanics rotary wind type of originating using multiple rotors as lift of a kind of energy VTOL.The more traditional helicopter of many gyroplanes has important safety advantage for low idle job in city: conventional helicopters adopts single main rotor to originate as lift, its single rotor intensity is higher and power output is larger, and once occur collide, fall etc., emergency extremely can cause compared with major injury surrounding buildings and personnel.And conventional helicopters need to be by the secondary rotor outputting power of the side direction of afterbody to offset the free moment of torsion of fuselage, and therefore energy utilization efficiency is lower.
Many gyroplanes can be divided into the types such as 3 axles, 4 axles, 6 axles, 8 axles, 12 axles, provide lifting power by multiple rotors, and therefore every output power of motor is only N/mono-of equivalent weight list gyroplane.Rotor requirement of strength is reduced greatly, even if directly collide and also can not cause mortality to injure with human body, and between multiple electric motors, played stronger redundancy backup effect, as long as there are in theory 3 normal operations of motor can guarantee that the attitude of aircraft is normal.This type of aircraft provides anti-spin-torque output without flank simultaneously, and the higher more traditional single-rotor helicopter of efficiency of energy utilization is more suitable for city low-latitude flying.
As shown in Figure 1, radio network optimization and the system of surveying based on many rotor unmanned aircrafts of the present utility model comprises: flight system 1, earth station system 2, survey system 3, driver test system 4, flight system 1, survey system 3 and driver test system 4 carries out radio communication with earth station system 2 respectively; Survey system 3, driver test system 4 is separately positioned on flight system 1.
Flight system 1 adopts the carrying platform of many rotor unmanned aircrafts as equipment, is made up of remote control reception equipment 11 and flight control system 12, and remote control reception equipment 11 is connected with flight control system 12.Wherein, as shown in Figure 2, many rotor unmanned aircrafts comprise: fuselage 13, rotor 14, flight controller 15, undercarriage 16, power supply 17, The Cloud Terrace support 18 and remote control reception equipment 11.Flight control system 12 is integrated precision equipments such as gyroscope, accelerometer, barometertic altimeter, GPS module, electric compass, by the calculating to self attitude and track, thereby controller with it 6 motor speeds keep balance and route stability.
Earth station system 2 is made up of ground station control unit 21 and wireless image receiving equipment 22, selects well behaved industrial computer, has stronger anti-vibration, shock resistance, the characteristic such as anti-interference.Realize remote measuring and controlling integrated, can be erected at ground and also can be integrated in vehicle.Ground station control unit 21 carries out remote radio communication with the remote control reception equipment 11 of flight system 1, adjust the flight condition of aircraft by instruction, earth station system 2 carries out realtime graphic transmission by wireless image receiving equipment 22 and the wireless image transmitting apparatus 31 of surveying system 3.
Surveying system 3 comprises: wireless image transmitting apparatus 31, camera-shooting and recording device 32, increase steady The Cloud Terrace 33, base station signal finder 34, as shown in Figure 2, survey on many rotor unmanned aircrafts that system 3 is arranged on flight system 1.Wherein camera-shooting and recording device 32 can select digital camera or Digital Video as task load, is equipped with and increases steady The Cloud Terrace 33 increasings surely, reduces the shake in shooting process.Digital camera by automatic control system realize fixed point, regularly, equidistantly exposure, wireless image transmitting apparatus 31 is selected 5.8GHz frequency range wireless video graphic transmission equipment simultaneously, can be in the situation that avoiding disturbing with road measuring device, monitored area video image is sent in real time to the wireless image receiving equipment 22 of earth station system 2, takes photo by plane thereby guide manipulation personnel to choose optimal viewing angle.
Increase steady The Cloud Terrace 33 and be connected with camera-shooting and recording device 32, the aircraft that can offset in flight course tilts.And increasing steady The Cloud Terrace 33 is that 3 axles increase steady The Cloud Terrace, can solve preferably flight time, aircraft all directions rocks.Increase steady The Cloud Terrace 33 and keep being connected with the ground station control unit 21 of earth station system 2, can be increased by earth station system 2 the equilbrium position mid point of steady The Cloud Terrace 33 by instruction adjustment.And increasing steady The Cloud Terrace 33 is active balancing formula The Cloud Terrace, is driven by high accuracy high pulling torque digital rudder controller, is connected with flight control system 12 by control interface.Flight control system 12 can be known the heeling condition that aircraft is current in real time, and controls on this basis steering wheel motion and make to increase steady The Cloud Terrace 33 and make reversed dip, thereby has guaranteed to increase the real-time relative level of steady The Cloud Terrace 33, and the image that has reduced picture pick-up device rocks.
Base station signal finder 34 is connected with the flight control system 12 of flight system 1, can control by the signal of communication network direction and the position of aircraft, assistant GPS global position system keeps in the range of signal of many rotor unmanned aircrafts in surveyed website, and by signal strength detection make to guarantee aircraft all the time just to the antenna direction of surveyed website to obtain best observation visual angle.
Driver test system 4 is interconnected and is formed by CDS or TEMS drive test mobile phone 42 and ultra-micromachine live brain 41, can during flying, carry out drive test, after making a return voyage, can derive relevant LOG file, as shown in Figure 2, driver test system 4 is arranged on the multi-rotor aerocraft of flight system 1.Airborne computer 41 carries out remote radio communication, the drive test instruction that satellite receiver control unit 21 sends with ground station control unit 21.Driver test system 4 is integrated the power supply of the power supply of drive test mobile phone 42, airborne computer 41 and aircraft electrical source of power mutually, realizes the unified management of power supply and reduces charging process.
The radio network optimization of the utility model based on many rotor unmanned aircrafts and survey system, adopt comparatively advanced many rotor unmanned aircrafts as carrier, this aircraft can be realized the function of hovering compared with traditional Fixed Wing AirVehicle, be applicable to communication website and survey the work that this class need be fixed a point.
Radio network optimization and the survey system of the utility model based on many rotor unmanned aircrafts can be carried out to special area the test of wireless communication signals, also has the function that communication site is tentatively surveyed, and can make up the deficiencies in the prior art.
Disclosed is above only several specific embodiment of the present utility model, and still, the utility model is not limited thereto, and the changes that any person skilled in the art can think of all should fall into protection range of the present utility model.

Claims (7)

1. a radio network optimization based on many rotor unmanned aircrafts and survey system, it is characterized in that, comprise: flight system, earth station system, survey system, driver test system, described flight system, described in survey system and described driver test system carries out radio communication with described earth station system respectively;
Describedly survey system, described driver test system is separately positioned on described flight system.
2. radio network optimization according to claim 1 and survey system, is characterized in that, described flight system comprises: remote control reception equipment and flight control system, described remote control reception equipment is connected with described flight control system.
3. radio network optimization according to claim 2 and survey system, is characterized in that, described earth station system comprises: ground station control unit and wireless image receiving equipment, described ground station control unit and described remote control reception equipment carry out radio communication.
4. radio network optimization according to claim 3 and survey system, it is characterized in that, the described system of surveying comprises: camera-shooting and recording device, increase steady The Cloud Terrace, wireless image transmitting apparatus, base station signal finder, described camera-shooting and recording device is arranged on the steady The Cloud Terrace of described increasing;
The steady The Cloud Terrace of described increasing, described base station signal finder are connected with described flight control system respectively; The steady The Cloud Terrace of described increasing and described ground station control unit carry out radio communication.
5. radio network optimization according to claim 4 and survey system, is characterized in that, described wireless image transmitting apparatus is 5.8GHz frequency range graphic transmission equipment, and described wireless image transmitting apparatus and described wireless image receiving equipment carry out radio communication.
6. radio network optimization according to claim 3 and survey system, it is characterized in that, described driver test system comprises: airborne computer and drive test mobile phone, and described airborne computer is connected with described drive test mobile phone, and described airborne computer and described ground station control unit carry out radio communication.
7. radio network optimization according to claim 6 and survey system, is characterized in that, the power supply of described airborne computer, the power supply of described drive test mobile phone are connected with the power supply of described flight control system respectively.
CN201320739653.2U 2013-11-20 2013-11-20 Wireless network optimization and survey system based on multi-rotor unmanned aerial vehicle Expired - Lifetime CN203675333U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201320739653.2U CN203675333U (en) 2013-11-20 2013-11-20 Wireless network optimization and survey system based on multi-rotor unmanned aerial vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201320739653.2U CN203675333U (en) 2013-11-20 2013-11-20 Wireless network optimization and survey system based on multi-rotor unmanned aerial vehicle

Publications (1)

Publication Number Publication Date
CN203675333U true CN203675333U (en) 2014-06-25

Family

ID=50971577

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201320739653.2U Expired - Lifetime CN203675333U (en) 2013-11-20 2013-11-20 Wireless network optimization and survey system based on multi-rotor unmanned aerial vehicle

Country Status (1)

Country Link
CN (1) CN203675333U (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104270563A (en) * 2014-08-18 2015-01-07 吴建民 System and method for taking pictures/recording videos by using mobile phone/tablet personal computer under assistance of rotorcraft
CN105425208A (en) * 2015-12-21 2016-03-23 深圳思科尼亚科技有限公司 Positioning system and method used for accurate navigation of unmanned aerial vehicle
CN105472642A (en) * 2015-11-18 2016-04-06 广东南方通信建设有限公司 Mobile communication signal analysis method and mobile communication signal analysis system based on unmanned plane
CN105792275A (en) * 2016-04-27 2016-07-20 天津大学 Mobile network signal external field measurement method based on unmanned aerial vehicle
CN109417420A (en) * 2016-07-15 2019-03-01 高通股份有限公司 Dynamic beam for unmanned vehicle turns to
WO2021037210A1 (en) * 2019-08-28 2021-03-04 中移(成都)信息通信科技有限公司 Airspace wireless signal quality measurement method, unmanned aerial vehicle, and ground center system

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104270563A (en) * 2014-08-18 2015-01-07 吴建民 System and method for taking pictures/recording videos by using mobile phone/tablet personal computer under assistance of rotorcraft
CN104270563B (en) * 2014-08-18 2018-02-02 吴建民 Gyroplane aids in mobile phone/tablet personal computer take pictures/system and method recorded a video
CN105472642A (en) * 2015-11-18 2016-04-06 广东南方通信建设有限公司 Mobile communication signal analysis method and mobile communication signal analysis system based on unmanned plane
CN105472642B (en) * 2015-11-18 2019-02-26 广东南方通信建设有限公司 Mobile communication signal analysis method and system based on unmanned plane
CN105425208A (en) * 2015-12-21 2016-03-23 深圳思科尼亚科技有限公司 Positioning system and method used for accurate navigation of unmanned aerial vehicle
CN105792275A (en) * 2016-04-27 2016-07-20 天津大学 Mobile network signal external field measurement method based on unmanned aerial vehicle
CN109417420A (en) * 2016-07-15 2019-03-01 高通股份有限公司 Dynamic beam for unmanned vehicle turns to
CN109417420B (en) * 2016-07-15 2021-10-12 高通股份有限公司 Dynamic beam steering for unmanned aerial vehicles
WO2021037210A1 (en) * 2019-08-28 2021-03-04 中移(成都)信息通信科技有限公司 Airspace wireless signal quality measurement method, unmanned aerial vehicle, and ground center system

Similar Documents

Publication Publication Date Title
CN203675333U (en) Wireless network optimization and survey system based on multi-rotor unmanned aerial vehicle
CN108614274B (en) Cross type crossing line distance measuring method and device based on multi-rotor unmanned aerial vehicle
CN205150226U (en) Air patrol system based on fuselage formula of verting rotor unmanned aerial vehicle
CN102589524B (en) Power line patrolling method
CN204808049U (en) Communication system with unmanned aerial vehicle
CN107664491B (en) Method, device and system for measuring downward inclination angle of base station antenna
CN202050188U (en) Unmanned aerial vehicle
CN105048533B (en) Small-sized multi-rotor unmanned aerial vehicle automatic charging system
CN102854881B (en) Unmanned plane UAV automatic control system
CN207133659U (en) A kind of unmanned vehicle tele-control system
CN106568441B (en) Method for carrying out power inspection by using Beidou-based power inspection equipment
CN204822097U (en) Anti -jamming unmanned aerial vehicle system
CN103135550A (en) Multiple obstacle-avoidance control method of unmanned plane used for electric wire inspection
CN203038112U (en) Unmanned aerial vehicle (UAV) automatic control system
CN103163881A (en) Power transmission line inspection system based on fixed-wing unmanned aerial vehicle
CN108674681A (en) A kind of dual-purpose self energizing unmanned plane boat guarantor base station in sea land
CN205246874U (en) Transmission line unmanned aerial vehicle system hardware structure that finds range
CN204895881U (en) Unmanned aerial vehicle system with thermal imaging system
CN110989673A (en) Autonomous tracking take-off and landing system of rotor unmanned aerial vehicle mobile platform and control method
CN206035727U (en) Fan blade unmanned aerial vehicle intelligence system of patrolling and examining
KR102129905B1 (en) Apparatus and Method for Maintaining Drones Landing Balance for aid to Navigation
CN107069859A (en) A kind of wireless charging system and method based on unmanned plane base station
CN104316900A (en) Aerial radio monitoring intelligent robot
CN107539483B (en) Fixed wing unmanned aerial vehicle and working method thereof
CN112067042A (en) Ocean radiation and nuclide diffusion monitoring system and method

Legal Events

Date Code Title Description
C14 Grant of patent or utility model
GR01 Patent grant
CX01 Expiry of patent term

Granted publication date: 20140625

CX01 Expiry of patent term