CN105792275A - Mobile network signal external field measurement method based on unmanned aerial vehicle - Google Patents
Mobile network signal external field measurement method based on unmanned aerial vehicle Download PDFInfo
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- CN105792275A CN105792275A CN201610272674.6A CN201610272674A CN105792275A CN 105792275 A CN105792275 A CN 105792275A CN 201610272674 A CN201610272674 A CN 201610272674A CN 105792275 A CN105792275 A CN 105792275A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
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Abstract
The invention relates to a mobile network signal external field measurement method based on an unmanned aerial vehicle. The method comprises the steps of making the unmanned aerial vehicle fly according to a waypoint which is programmed beforehand; providing data transmission by a mobile terminal module, realizing data transmission among the unmanned aerial vehicle, a ground station and a server by means of the mobile terminal module, acquiring signal strength information RSSI by a data acquisition and transmission platform from the mobile terminal module and storing the signal strength information into a file, and simultaneously storing a time stamp; simultaneously, extracting geographical position information returned from a flight controller by an embedded processing platform and storing the geographical position information into the file and adding the time stamp; reading data in the file in a certain time interval and forwarding the data to the ground station through the server; and after the ground station receives signal data and coordinate data and performs data integration, processing the data and displaying signal strength and network condition by means of a map which is equipped in the ground station. According to the mobile network signal external field measurement method, a high flexibility characteristic of the unmanned aerial vehicle is utilized, and road measurement efficiency can be improved.
Description
Technical field
The invention belongs to mobile communication technology, wireless measurement apparatus field, a kind of method being specifically related to base station debugging, device and system.
Background technology
Currently, mobile communication technology develops rapidly, and the Large scale construction of mobile communications network and commercialization are own through gradually spreading out.Build a complete mobile network, it is necessary to install and debug substantial amounts of base station, the installation and debugging speed of base station, directly determine the speed that communication network is built, therefore directly determine the time that network comes into operation.In addition, after the networking completes, in the actually used cycle of whole network, it is possible that the damage of base station, and the various sights such as the optimization of the network coverage and upgrading base station, therefore also can relate to and various add station, mend the scene (resettlement, chain change star-like etc.) of station, station transfer and network adjusting and optimizing, and all these scenes need also exist for base station is debugged.Therefore, the efficiency of base station debugging can greatly affect the construction speed of network, and network come into operation after user use the convenient degree of network.
Come into operation from starting to be installed to finally to open in base station, including multiple links such as debugging of the installation of hardware, the debugging of transmission and base station.Passing experience according to theory analysis and Networking construction, base station debugging accounts for the largest percentage in the process of whole Networking construction, therefore, how to improve the adjustment opening efficiency, quickening base station network of base station, and reducing the link made mistakes as far as possible, construction and operation for communication network all seem extremely important.
Drive test (DT) refers to by instrument or the instrument such as test handset and test vehicle, carries out mensuration and the collection of wireless network parameter and speech quality index along specific circuit.Test equipment can record signaling message between wireless environment parameter and mobile platform and base station, and driver test system has the analysis to test record data and playback function.Drive test is the important means of the network optimization, parameter, call through situation and the tester's assessment to speech quality that drive test gathers, provide comparatively complete network coverage situation for operator, also provide data basis comparatively fully for the analysis of network operation situation.Owing to drive test can record and play back all information in test process, very big for fault location and recruitment evaluation effect, especially for the effect of call drop point location aspect.
Existing mobile network's drive test is all use vehicle-mounted or portable set, set out according to target zone and reasonably survey route, drive to travel according to setting path, gather the various achievement datas of base station signal by mobile unit and be analyzed, thus adjusting base station parameter to meet covering requirement.
The method of this drive test main drawback is that
1, each drive test will allow at least 2 testers drive not stop to detour in relatively larger base station range, it is ensured that the data collected completely are not omitted, and cost is high, the cycle is long.
2, complex environment, urban district as dense in mountain area, population, building and atrocious weather situation, as sleet, strong wind weather not only add the difficulty of drive test work, also have certain danger.
At present, unmanned air vehicle technique reaches its maturity, and is widely used in the fields such as aerial survey, video capture, agricultural plant protection of taking photo by plane.Inertial navigation technique, vision technique, GPS technology use unmanned plane can be carried out independently in outdoor environment, half autonomous flight, various middle-size and small-size unmanned planes can flexiblely in the wild, carrying out operation under the complex environments such as mountain area, this makes unmanned plane become one to carry pertinent instruments and carry out the good platform of operation.
Summary of the invention
The present invention provides the outer field parameters of a kind of mobile network based on unmanned plane and speech quality outfield parameter acquisition devices, for gathering mobile network's parameter and the speech quality parameter of optional position in mobile network's coverage, building for mobile network and optimizing provides foundation.Technical scheme is as follows:
A kind of mobile network signals outfield measuring method based on unmanned plane, the driver test system hardware adopted is divided into unmanned aerial vehicle platform, data acquisition and transmission platform, 4 parts of server and earth station, data acquisition transmission platform therein includes embedded processing platform, locating module and mobile terminal module, the collection of primary responsibility geographical location information, mobile network's parameter and speech quality parameter and and unmanned plane and server, earth station between communication, the method includes:
1) flying height and flight path are planned by unmanned plane before take-off in advance, and destination inputs the path clustering file of unmanned plane；
2) geographical location information is sent to and flies control by locating module, and unmanned plane synchronizes embedded processing platform after starting, flies control, mobile terminal module time, enters automatic offline mode, flies according to the destination of prior mission planning；
3) carrying data acquisition and transmission platform on unmanned plane, mobile terminal module is connected with embedded processing platform by serial communication interface, it is possible to return real-time signal strength information RSSI；
4) working frequency range and the mode of operation of mobile terminal module are set by embedded processing platform by sending instruction；
5) mobile terminal module provides data transmission, utilize mobile terminal module, realizing the data transmission between unmanned plane and earth station, server, data acquisition transmission platform is logical to be obtained signal strength information RSSI from mobile terminal module and stores to file, stores timestamp simultaneously；Meanwhile, embedded processing platform extracts geographical location information from the state flying control return and is stored in file, stamps timestamp；Data in file are read in certain time interval and are forwarded to earth station through server；
6) ground station reception is after signal data and coordinate data, by two data with timestamp contrast, two item data close or identical the time are labeled as the RSSI signal of a coordinate points, after integral data, data are processed and utilize earth station with map can carry out the display of signal intensity and network condition, namely in the signal intensity of the coordinate points mark display correspondence determined and network condition, after unmanned plane flies according to setting path, corresponding map can show coordinate and the network condition of each point on route.
Unmanned plane is applied to drive test by the present invention, greatly reduces measurement cost, shortens the measurement time, and can the signal intensity profile of differing heights be analyzed.In landform relative complex, the place that people's car inconvenience arrives, utilize the feature that unmanned plane is flexible, it is possible to improve the efficiency of drive test.
Accompanying drawing explanation
Fig. 1 is whole measurement system framework.
Detailed description of the invention
Below in conjunction with drawings and Examples, the present invention will be described.
Referring to Fig. 1, the drive test measurement system that the present invention adopts includes:
1, hardware system is constituted
Driver test system hardware is divided into unmanned aerial vehicle platform, data acquisition and transmission platform, server, 4 parts of earth station system.
Unmanned aerial vehicle platform is made up of the unmanned plane having in outdoor autonomous flight ability, carries payload and carries out operation, is acquired data along the route set.Unmanned aerial vehicle platform can select the unmanned plane possessing different continuation of the journey and lifting capacity to serve as according to job area.Unmanned plane and earth station are communicated by the data acquisition transmission platform carried on unmanned plane.
Data acquisition transmission platform is made up of embedded processing platform, locating module and mobile terminal module.Communication between collection and unmanned plane and server, the earth station of primary responsibility geographical location information, mobile network's parameter and speech quality parameter.
Mobile network's parameter and speech quality parameter acquisition are realized by mobile terminal module.The 909s-821 mobile terminal module of such as Huawei, this module communicates by PCI-E interface or by USB virtual serial port and flush bonding processor, it is possible to accesses the various modes access to mobile network such as WCDMA, TD-SCDMA, TDD, FDD, GSM and can be controlled by AT order.Meanwhile, mobile terminal module may also provide the communication between unmanned plane and server.
Embedded processing platform adopts the platform platform that can install built-in Linux.There is the multiple interfaces such as serial ports, SPI, I2C, USB, it is possible to carry out linking and communicating with various equipment very easily.It is connected by cable by interface between unmanned plane with embedded processing platform, such as serial communication interface, CAN interface etc. time actually used, can be used to connect.Data acquisition transmission platform is powered by special lithium ion battery.
Server is served as by the computer with fixed ip address, the forwarding of primary responsibility data.Unmanned plane and earth station are connected with server foundation each through the Internet.Server is responsible for forwarding the data to earth station and being controlled the transmission of signal and the monitoring of unmanned plane state.
Earth station is responsible for the mobile network signals data received are processed and shown.Can work as with any filling apparatus with network accessibility.
2, software system is constituted
The software system of unmanned plane adopts what have a GPS navigation ability to fly control, flies control and can control aircraft and fly according to the destination set.And destination is modified by the data of satellite receiver that can be real-time.Unmanned plane is responsible for according to destination flight and provides geographic position data.The renewal frequency of geodata can set as required.
The software primary responsibility communication of data acquisition transmission platform and the collection of various data.Wherein, to unmanned plane by being undertaken by unmanned aerial vehicle (UAV) control agreement or the relevant API flying control by hardware interface.By this protocol monitor unmanned plane state and the transmission being controlled signal.Communication with earth station accesses the Internet by mobile network and carries out.It is transmitted by Transmission Control Protocol or udp protocol mainly through SOCKET.Data acquisition transmission platform obtains signal intensity (RSSI) from mobile terminal module and integrates geography information and be transmitted.
Server is responsible for connecting unmanned plane, earth station with Transmission Control Protocol or udp protocol and carrying out the forwarding of data.
Earth station is responsible for by Network Capture unmanned plane status data with Transmission Control Protocol or udp protocol and processing, showing, earth station is by real-time Transmission and receive instruction, the signal message monitored is carried out real-time graphic software platform.Software is processed by data and carries out mating and classifying and be shown on map with signal intensity, base station information by geography information.
Measurement process flow is as follows:
1) flying height and flight path are planned by unmanned plane before take-off in advance, and destination inputs the path clustering file of unmanned plane.
2) unmanned plane start after synchronize flush bonding processor, fly control, the mobile terminal module time be standard Beijing time.Enter automatic offline mode, fly according to the destination of prior mission planning.
3) unmanned plane carries data acquisition and transmission platform, embedded processing platform on platform can run embedded Linux system, mobile terminal module processes transmission platform by serial communication interface and data and is connected, and wherein mobile terminal module can respond AT order that embedded Linux system sent by serial communication interface and return the information such as real-time signal intensity RSSI.Mobile terminal module also independently can receive RSSI signal that base station sends continuously and return with serial ports.
4) working frequency range and the mode of operation of mobile terminal module are set by embedded processing platform by sending instruction AT order.
5) mobile terminal module provides data transmission at a high speed, utilizes mobile terminal module, it is achieved the data transmission between unmanned plane and earth station, server.Data acquisition transmission platform obtains signal strength information and storage to file by AT order from mobile terminal module, stores timestamp simultaneously.Simultaneously, embedded processing platform extracts geographical location information from the state flying control return and is stored in file, stamps timestamp.Data in file are read in certain time interval and are forwarded to earth station through server.
6) ground station reception is after signal data and coordinate data, by two data with timestamp contrast, two item data close or identical the time are labeled as the RSSI signal of a coordinate points.After integral data, data can be processed and utilize earth station with map can carry out the display of signal intensity and network condition, namely in signal intensity corresponding to the coordinate points mark display determined and network condition.After unmanned plane flies according to setting path, corresponding map can show coordinate and the network condition of the last point of route.
Above by concrete and preferred embodiment detailed describe the present invention; but those skilled in the art should be understood that; the invention is not limited in embodiment described above; all within the ultimate principle of the present invention; any amendment, combination and the equivalent replacements etc. made, are all contained within protection scope of the present invention.
Claims (1)
1. the mobile network signals outfield measuring method based on unmanned plane, the driver test system hardware adopted is divided into unmanned aerial vehicle platform, data acquisition and transmission platform, 4 parts of server and earth station, data acquisition transmission platform therein includes embedded processing platform, locating module and mobile terminal module, the collection of primary responsibility geographical location information, mobile network's parameter and speech quality parameter and and unmanned plane and server, earth station between communication, the method includes:
1) flying height and flight path are planned by unmanned plane before take-off in advance, and destination inputs the path clustering file of unmanned plane；
2) geographical location information is sent to and flies control by locating module, and unmanned plane synchronizes embedded processing platform after starting, flies control, mobile terminal module time, enters automatic offline mode, flies according to the destination of prior mission planning；
3) carrying data acquisition and transmission platform on unmanned plane, mobile terminal module is connected with embedded processing platform by serial communication interface, it is possible to return real-time signal strength information RSSI；
4) working frequency range and the mode of operation of mobile terminal module are set by embedded processing platform by sending instruction；
5) mobile terminal module provides data transmission, utilize mobile terminal module, realizing the data transmission between unmanned plane and earth station, server, data acquisition transmission platform is logical to be obtained signal strength information RSSI from mobile terminal module and stores to file, stores timestamp simultaneously；Meanwhile, embedded processing platform extracts geographical location information from the state flying control return and is stored in file, stamps timestamp；Data in file are read in certain time interval and are forwarded to earth station through server；
6) ground station reception is after signal data and coordinate data, by two data with timestamp contrast, two item data close or identical the time are labeled as the RSSI signal of a coordinate points, after integral data, data are processed and utilize earth station with map can carry out the display of signal intensity and network condition, namely in the signal intensity of the coordinate points mark display correspondence determined and network condition, after unmanned plane flies according to setting path, corresponding map can show coordinate and the network condition of each point on route.
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Cited By (18)
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|---|---|---|---|---|
| CN106231606A (en) * | 2016-08-01 | 2016-12-14 | 北京艾森博航空科技股份有限公司 | Automatic configuration method of base station for unmanned aerial vehicle flight control |
| CN106772568A (en) * | 2017-01-22 | 2017-05-31 | 中国石油天然气集团公司 | Obtain method, device, system and the flight equipment of acquisition node data |
| CN106877947A (en) * | 2017-01-20 | 2017-06-20 | 浙江大学 | A kind of radio-frequency channel parallel detection device and method of unmanned plane |
| CN108702665A (en) * | 2017-08-04 | 2018-10-23 | 北京小米移动软件有限公司 | A kind of measurement report method and device |
| CN108700889A (en) * | 2017-02-27 | 2018-10-23 | 深圳市大疆创新科技有限公司 | Control method, remote supervisory and control(ling) equipment, base station, server and streaming media server |
| CN109041592A (en) * | 2018-05-18 | 2018-12-18 | 北京小米移动软件有限公司 | Cellular network signals measurement method, device and computer readable storage medium |
| CN109716816A (en) * | 2016-09-27 | 2019-05-03 | 索尼公司 | Circuit, base station, method and recording medium |
| CN110324849A (en) * | 2019-04-17 | 2019-10-11 | 中国联合网络通信集团有限公司 | A kind of server-side, client and network test method |
| CN110392120A (en) * | 2019-08-15 | 2019-10-29 | 锐捷网络股份有限公司 | The restoration methods and device of failure during a kind of push of message |
| CN110494905A (en) * | 2017-03-27 | 2019-11-22 | 日本电气株式会社 | Device, system, the recording medium of method and logging program |
| CN110536337A (en) * | 2019-09-30 | 2019-12-03 | 北京市天元网络技术股份有限公司 | The method and system of automatic base station activating compliance test result |
| US10690781B2 (en) | 2017-04-05 | 2020-06-23 | At&T Intellectual Property I, L.P. | Unmanned aerial vehicle drive testing and mapping of carrier signals |
| CN111830999A (en) * | 2020-06-09 | 2020-10-27 | 中国电力科学研究院有限公司 | System and method for measuring characteristics of noise source of extra-high voltage main equipment based on unmanned aerial vehicle |
| CN112335190A (en) * | 2018-04-30 | 2021-02-05 | 菲力尔无人机系统公司 | Radio link coverage map and impairment system and method |
| CN112448751A (en) * | 2019-08-28 | 2021-03-05 | 中移(成都)信息通信科技有限公司 | Airspace wireless signal quality detection method, unmanned aerial vehicle and ground center system |
| CN113060302A (en) * | 2021-03-15 | 2021-07-02 | 上海三吉电子工程有限公司 | Signal intensity calculation method and application system thereof |
| CN113473504A (en) * | 2021-07-01 | 2021-10-01 | 国网信息通信产业集团有限公司 | Method for measuring 5G network signal quality, related device and storage medium |
| CN116527169A (en) * | 2023-04-28 | 2023-08-01 | 哈尔滨工程大学 | System and method for detecting wireless signal intensity in low population density area |
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| CN106231606B (en) * | 2016-08-01 | 2019-11-12 | 北京艾森博航空科技股份有限公司 | Automatic configuration method of base station for unmanned aerial vehicle flight control |
| CN106231606A (en) * | 2016-08-01 | 2016-12-14 | 北京艾森博航空科技股份有限公司 | Automatic configuration method of base station for unmanned aerial vehicle flight control |
| CN109716816B (en) * | 2016-09-27 | 2022-10-14 | 索尼公司 | Circuit, base station, method, and recording medium |
| CN109716816A (en) * | 2016-09-27 | 2019-05-03 | 索尼公司 | Circuit, base station, method and recording medium |
| CN106877947A (en) * | 2017-01-20 | 2017-06-20 | 浙江大学 | A kind of radio-frequency channel parallel detection device and method of unmanned plane |
| CN106772568A (en) * | 2017-01-22 | 2017-05-31 | 中国石油天然气集团公司 | Obtain method, device, system and the flight equipment of acquisition node data |
| CN108700889A (en) * | 2017-02-27 | 2018-10-23 | 深圳市大疆创新科技有限公司 | Control method, remote supervisory and control(ling) equipment, base station, server and streaming media server |
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| CN110494905A (en) * | 2017-03-27 | 2019-11-22 | 日本电气株式会社 | Device, system, the recording medium of method and logging program |
| US10690781B2 (en) | 2017-04-05 | 2020-06-23 | At&T Intellectual Property I, L.P. | Unmanned aerial vehicle drive testing and mapping of carrier signals |
| US11241969B2 (en) | 2017-04-05 | 2022-02-08 | At&T Intellectual Property I, L.P. | Unmanned aerial vehicle drive testing and mapping of carrier signals |
| CN108702665A (en) * | 2017-08-04 | 2018-10-23 | 北京小米移动软件有限公司 | A kind of measurement report method and device |
| US11330488B2 (en) | 2017-08-04 | 2022-05-10 | Beijing Xiaomi Mobile Software Co., Ltd. | Measurement reporting method and apparatus |
| CN108702665B (en) * | 2017-08-04 | 2022-03-11 | 北京小米移动软件有限公司 | Measurement reporting method and device |
| CN112335190A (en) * | 2018-04-30 | 2021-02-05 | 菲力尔无人机系统公司 | Radio link coverage map and impairment system and method |
| CN109041592A (en) * | 2018-05-18 | 2018-12-18 | 北京小米移动软件有限公司 | Cellular network signals measurement method, device and computer readable storage medium |
| CN110324849A (en) * | 2019-04-17 | 2019-10-11 | 中国联合网络通信集团有限公司 | A kind of server-side, client and network test method |
| CN110392120A (en) * | 2019-08-15 | 2019-10-29 | 锐捷网络股份有限公司 | The restoration methods and device of failure during a kind of push of message |
| CN110392120B (en) * | 2019-08-15 | 2022-06-21 | 锐捷网络股份有限公司 | Method and device for recovering fault in message pushing process |
| CN112448751A (en) * | 2019-08-28 | 2021-03-05 | 中移(成都)信息通信科技有限公司 | Airspace wireless signal quality detection method, unmanned aerial vehicle and ground center system |
| CN110536337A (en) * | 2019-09-30 | 2019-12-03 | 北京市天元网络技术股份有限公司 | The method and system of automatic base station activating compliance test result |
| CN111830999A (en) * | 2020-06-09 | 2020-10-27 | 中国电力科学研究院有限公司 | System and method for measuring characteristics of noise source of extra-high voltage main equipment based on unmanned aerial vehicle |
| CN113060302A (en) * | 2021-03-15 | 2021-07-02 | 上海三吉电子工程有限公司 | Signal intensity calculation method and application system thereof |
| CN113060302B (en) * | 2021-03-15 | 2022-05-27 | 上海三吉电子工程有限公司 | Signal intensity calculation method and application system thereof |
| CN113473504A (en) * | 2021-07-01 | 2021-10-01 | 国网信息通信产业集团有限公司 | Method for measuring 5G network signal quality, related device and storage medium |
| CN116527169A (en) * | 2023-04-28 | 2023-08-01 | 哈尔滨工程大学 | System and method for detecting wireless signal intensity in low population density area |
| CN116527169B (en) * | 2023-04-28 | 2024-02-02 | 哈尔滨工程大学 | System and method for detecting wireless signal intensity in low population density area |
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Application publication date: 20160720 |