CN110121142A - A kind of subway blind guiding system and method based on Android platform - Google Patents
A kind of subway blind guiding system and method based on Android platform Download PDFInfo
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- CN110121142A CN110121142A CN201910227193.7A CN201910227193A CN110121142A CN 110121142 A CN110121142 A CN 110121142A CN 201910227193 A CN201910227193 A CN 201910227193A CN 110121142 A CN110121142 A CN 110121142A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72457—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to geographic location
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/023—Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/024—Guidance services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/025—Services making use of location information using location based information parameters
- H04W4/027—Services making use of location information using location based information parameters using movement velocity, acceleration information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/33—Services specially adapted for particular environments, situations or purposes for indoor environments, e.g. buildings
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/42—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for mass transport vehicles, e.g. buses, trains or aircraft
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
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- Aviation & Aerospace Engineering (AREA)
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Abstract
The invention discloses a kind of subway blind guiding system and method based on Android platform.The system includes hardware module, location algorithm module, mapping module, Voice Navigation module and operation interface.Method are as follows: blind way is divided into different mesh points as tested point by guide band, ticket office and vertical lift location arrangements bluetooth sensor in subway station；User opens the operation interface in Android platform, selects destination；Android platform obtains Bluetooth signal sequence, and is uploaded to Cloud Server；Android platform acquires the acceleration value and azimuth information of the RSSI value and user of Bluetooth signal in subway station environment in all directions, uploads to location algorithm module, and location algorithm module carries out user's positioning, plans navigation routine；Voice Navigation module carries out Voice Navigation, uses voice prompting navigation information in key point, user is navigated to destination.The present invention has the advantages that carrying is easy, at low cost, positioning accuracy is high, intelligent navigation.
Description
Technical field
The invention belongs to indoor positioning technologies field, especially a kind of subway blind guiding system based on Android platform and
Method.
Background technique
Representative of the subway as modern society's trip tool, advantage safe with its, quick, convenient and fast receive vision disorder
The generally favor of personage.The voices such as Talkback, VoiceOver auxiliary software can help vision disorder personage easily to use
All kinds of Android phones, it is indoor fixed to be carried out using sensors such as bluetooth module, accelerometer, gyroscopes inside smart phone
The method of position is rapidly developed in recent years.Using low-power consumption bluetooth sensor carry out indoor positioning method market,
It is widely used under many scenes such as high-speed rail station and garage, but these scenes do not propose higher want to locating effect
It asks, rough positioning is realized using triangle polyester fibre algorithm.
Subway station flow of the people is big, environment is complicated, and the existing generally existing positioning accuracy of subway blind guiding system is low, at high cost
Problem, thus it is poor to the navigation effect of vision disorder personage, reduce the subway trip experience of user.
Summary of the invention
To carry easy, at low cost, positioning accuracy high based on Android platform the purpose of the present invention is to provide a kind of
Subway blind guiding system and method.
The technical solution for realizing the aim of the invention is as follows: a kind of subway blind guiding system based on Android platform, including
Hardware module, location algorithm module, mapping module and application interface, wherein application interface includes Voice Navigation module and software behaviour
Make interface；
The hardware module, for emitting and acquiring Bluetooth signal in subway station environment, obtain user in all directions
Acceleration value and azimuth, while collected information being carried out data fusion and to be sent to location algorithm module；
The location algorithm module, for positioning position of the user on blind way, and real-time display is in the arrow of operation interface
On quantity map；
The mapping module, for show position of the user in subway station map vector, map scaling and movement and
The planning of guidance path；
The Voice Navigation module, for being user's cue circuit information by voice broadcast；
The software operation interface, for obtain user input purpose website, real-time exhibition user location information, into
Row system is arranged and dials station service hot line.
Further, the hardware module, including arranged in subway station bluetooth sensor, in Android platform
Bluetooth signal receiver, acceleration transducer and gyroscope；
The bluetooth sensor arranged in subway station, including guide band, ticket office and the vertical electricity in subway station
Terraced location arrangements bluetooth sensor, by the touch blind-guiding means based on guide band and the sense of hearing guide hand based on Android platform
Section combines, and blind way is divided into different mesh points as tested point.
Further, the location algorithm module includes data prediction, offline fingerprint database, online fingerprint matching
Algorithm and pedestrian's reckoning algorithm；
The offline fingerprint database, the subway station different people flow grade acquired using location algorithm module are corresponding
RSSI and mac address information are built-up；
The data prediction converts int type data for MAC Address, and uses adaptive Gaussian mixture model algorithm
It is filtered；
The online fingerprint matching algorithm and pedestrian's reckoning algorithm combines, and is positioned in real time to user,
In online fingerprint matching algorithm use the machine learning method of Random Forest model.
Further, the mapping module, using the map vector of ArcGIS customization subway station, upper layer can be realized shifting
Dynamic, scaling, space querying function；Map vector includes the road-net node in the corresponding region of blind way, realizes the real-time road to user
Diameter planning and path correction.
A kind of subway guide algorithm based on Android platform, comprising the following steps:
Step 1, the guide band in subway station, ticket office and vertical lift location arrangements bluetooth sensor draw blind way
It is divided into different mesh points as tested point；
Step 2, user open the operation interface in Android platform, select destination；
Step 3, Android platform obtain Bluetooth signal sequence, and are uploaded to Cloud Server；
Bluetooth signal receiver, acceleration transducer and gyroscope in step 4, Android platform acquire subway station ring
The acceleration value and azimuth information of the RSSI value of Bluetooth signal and user in all directions in border, collected information upload
To location algorithm module, location algorithm module carries out user's positioning, plans navigation routine；
Step 5, Voice Navigation module utilize online speech synthesis SDK, search the voice dictionary being stored in txt file,
The voice messaging for synthesizing corresponding position point carries out Voice Navigation, uses voice prompting navigation information in key point；
User is navigated to destination by step 6.
Further, location algorithm module described in step 4 carries out user's positioning, plans navigation routine, specific as follows:
Firstly, the corresponding RSSI of subway station different people flow grade and MAC Address using the acquisition of location algorithm module believe
Breath, constructs offline fingerprint database；
Secondly, carrying out data prediction, i.e., int type data are converted by MAC Address, and calculate using adaptive Gaussian mixture model
Method is filtered；
Finally, user is positioned in real time in conjunction with online fingerprint matching algorithm and pedestrian's reckoning algorithm, wherein
Line fingerprint matching algorithm uses the machine learning method of Random Forest model.
Compared with prior art, the present invention its remarkable advantage are as follows: (1) interior combined using bluetooth positioning and blind way is fixed
Position method, improves user to the perceived effect of current environment；(2) by based on Random Forest model location fingerprint method and pedestrian
Reckoning method combines, and improves the speed and precision of on-line prediction；(3) it is led for the subway of vision disorder personage exploitation
Blind APP software improves the subway trip experience of user.
Detailed description of the invention
Fig. 1 is that the present invention is based on the structural schematic diagrams of the subway blind guiding system of Android platform.
Fig. 2 is that the present invention is based on the flow diagrams of the subway blind-guiding method of Android platform.
Fig. 3 is the flow diagram of location fingerprint method in the present invention.
Fig. 4 is the flow diagram of random forests algorithm in the present invention.
Specific embodiment
In conjunction with Fig. 1, the present invention is based on the subway blind guiding systems of Android platform, including hardware module, location algorithm mould
Block, mapping module and application interface, wherein application interface includes Voice Navigation module and software operation interface；
The hardware module, for emitting and acquiring Bluetooth signal in subway station environment, obtain user in all directions
Acceleration value and azimuth, while collected information being carried out data fusion and to be sent to location algorithm module；
The location algorithm module, for positioning position of the user on blind way, and real-time display is in the arrow of operation interface
On quantity map；
The mapping module, for show position of the user in subway station map vector, map scaling and movement and
The planning of guidance path；
The Voice Navigation module, for being user's cue circuit information by voice broadcast；
The software operation interface, for obtain user input purpose website, real-time exhibition user location information, into
Row system is arranged and dials station service hot line.
Further, the hardware module, including arranged in subway station bluetooth sensor, in Android platform
Bluetooth signal receiver, acceleration transducer and gyroscope；
The bluetooth sensor arranged in subway station, including guide band, ticket office and the vertical electricity in subway station
Terraced location arrangements bluetooth sensor, by the touch blind-guiding means based on guide band and the sense of hearing guide hand based on Android platform
Section combines, and blind way is divided into different mesh points as tested point.
Further, the location algorithm module includes data prediction, offline fingerprint database, online fingerprint matching
Algorithm and pedestrian's reckoning algorithm；
The offline fingerprint database, the subway station different people flow grade acquired using location algorithm module are corresponding
RSSI and mac address information are built-up；
The data prediction converts int type data for MAC Address, and uses adaptive Gaussian mixture model algorithm
It is filtered；
The online fingerprint matching algorithm and pedestrian's reckoning algorithm combines, and is positioned in real time to user,
In online fingerprint matching algorithm use the machine learning method of Random Forest model.
Further, the mapping module, using the map vector of ArcGIS customization subway station, upper layer can be realized shifting
Dynamic, scaling, space querying function；Map vector includes the road-net node in the corresponding region of blind way, realizes the real-time road to user
Diameter planning and path correction.
In conjunction with Fig. 2, the present invention is based on the subway guide algorithms of Android platform, comprising the following steps:
Step 1, the guide band in subway station, ticket office and vertical lift location arrangements bluetooth sensor draw blind way
It is divided into different mesh points as tested point；
Step 2, user open the operation interface in Android platform, select destination；
Step 3, Android platform obtain Bluetooth signal sequence, and are uploaded to Cloud Server；
Bluetooth signal receiver, acceleration transducer and gyroscope in step 4, Android platform acquire subway station ring
The acceleration value and azimuth information of the RSSI value of Bluetooth signal and user in all directions in border, collected information upload
To location algorithm module, location algorithm module carries out user's positioning, plans navigation routine；
Step 5, Voice Navigation module utilize online speech synthesis SDK, search the voice dictionary being stored in txt file,
The voice messaging for synthesizing corresponding position point carries out Voice Navigation, uses voice prompting navigation information in key point；
User is navigated to destination by step 6.
Further, location algorithm module described in step 4 carries out user's positioning, plans navigation routine, specific as follows:
Firstly, the corresponding RSSI of subway station different people flow grade and MAC Address using the acquisition of location algorithm module believe
Breath, constructs offline fingerprint database；
Secondly, carrying out data prediction, i.e., int type data are converted by MAC Address, and calculate using adaptive Gaussian mixture model
Method is filtered；
Finally, user is positioned in real time in conjunction with online fingerprint matching algorithm and pedestrian's reckoning algorithm, wherein
Line fingerprint matching algorithm uses the machine learning method of Random Forest model.
With reference to the accompanying drawing and specific embodiment is described in further details the present invention.
Embodiment 1
The present embodiment selection builds demonstration system in Nanjing subway station.
In conjunction with Fig. 1, subway blind guiding system of the present embodiment based on Android platform, including hardware module, location algorithm mould
Block, mapping module, Voice Navigation module and operation interface；
The hardware module, the bluetooth sensor including arranging in subway station, the Bluetooth signal in Android platform connect
Device, acceleration transducer and gyroscope are received, by calling corresponding api interface to obtain corresponding data, such as bluetooth in APP
The acceleration value and angle value of RSSI value, user's all directions, by collected data transmission into location algorithm module into
Row positioning.
The location algorithm module is the core of entire navigation system, including data prediction, location fingerprint algorithm and row
People's dead reckoning, wherein data prediction uses adaptive Gaussian mixture model algorithm, carries out to the bluetooth signal intensity value of acquisition
Noise reduction and smoothing processing, the experiment matched success rate in display position improve 10%；The flow chart of location fingerprint method such as Fig. 3 institute
Show, be divided into two stages of offline fingerprint database and online fingerprint matching algorithm, the offline fingerprint database stage will be in each position
The RSSI value of acquisition bluetooth is set, and by Random Forest model training sample set, obtains parameter value when information gain maximum, root
Fingerprint database is created according to filtered RSSI mean value；The online fingerprint matching algorithm stage is in tested point acquisition data input training
In good model, predicted position coordinate is exported by model, while in conjunction with pedestrian's dead reckoning, entangling to user location
Partially.In conjunction with Fig. 4, the thought positioned after first localization is utilized in the location fingerprint method based on Random Forest model, needs to carry out in reduction
Positioning accuracy is improved while matched characteristic fingerprint.It is demonstrated experimentally that the average positioning accuracy of the system has reached 1.6m.
The mapping module, using the map vector of ArcGIS customization subway station, storage, amplification contracting including to map
Small, mobile, path planning engine map.The user location coordinate that the module resolves location algorithm module, passes through icon
Form is loaded into operation interface, and the direction of travel of user is planned according to the road-net node of setting.
The functions such as the Voice Navigation module, including tone color selection, tone adjusting, the module is according to location algorithm module solution
The path that the position coordinates and mapping module of calculation are planned according to blind way carries out voice prompting, and such as at crossing, prompt is turned to, prompt is asked
Interrogate the specific location of platform and vertical lift etc..
The functions such as affiliated operation interface, including selection map, display map, display position, key calling for help, the map of display
It is obtained from mapping module, the location information of display is obtained from location algorithm module.
After the completion of system framework, the program of modules is compiled and is debugged respectively in the case where Android develops environment,
The map vector for drawing and importing subway station can carry out real-time navigation after creating database.
In conclusion the present invention using bluetooth positioning and the indoor orientation method that combines of blind way, improves user to working as
The perceived effect of preceding environment；By based on Random Forest model location fingerprint method and pedestrian's reckoning method combine, improve
The speed and precision of on-line prediction；For the subway guide APP software of vision disorder personage exploitation, the subway of user is improved
Trip experience.
Claims (6)
1. a kind of subway blind guiding system based on Android platform, which is characterized in that including hardware module, location algorithm module,
Mapping module and application interface, wherein application interface includes Voice Navigation module and software operation interface；
The hardware module, in subway station environment emit and acquire Bluetooth signal, obtain user in all directions plus
Velocity amplitude and azimuth, while collected information is subjected to data fusion and is sent to location algorithm module；
The location algorithm module, for positioning position of the user on blind way, and real-time display is in the vector of operation interface
On figure；
The mapping module, for showing scaling and movement and the navigation of position of the user in subway station map vector, map
The planning in path；
The Voice Navigation module, for being user's cue circuit information by voice broadcast；
The software operation interface, for obtaining the purpose website of user's input, the location information of real-time exhibition user, being
System is arranged and dials station service hot line.
2. the subway blind guiding system according to claim 1 based on Android platform, which is characterized in that the hardware mould
Block, the bluetooth sensor including being arranged in subway station, Bluetooth signal receiver, acceleration sensing in Android platform
Device and gyroscope；
The bluetooth sensor arranged in subway station, including guide band, ticket office and the vertical lift position in subway station
Arrangement bluetooth sensor is set, by the touch blind-guiding means based on guide band and the sense of hearing guide means phase based on Android platform
In conjunction with, and blind way is divided into different mesh points as tested point.
3. the subway blind guiding system according to claim 1 based on Android platform, which is characterized in that the positioning
Algoritic module includes data prediction, offline fingerprint database, online fingerprint matching algorithm and pedestrian's reckoning algorithm；
The offline fingerprint database, the corresponding RSSI of subway station different people flow grade acquired using location algorithm module
It is built-up with mac address information；
The data prediction is converted int type data for MAC Address, and is carried out using adaptive Gaussian mixture model algorithm
Filtering；
The online fingerprint matching algorithm and pedestrian's reckoning algorithm combines, and is positioned in real time to user, wherein
Line fingerprint matching algorithm uses the machine learning method of Random Forest model.
4. the subway blind guiding system according to claim 1 based on Android platform, which is characterized in that the map
Module, using the map vector of ArcGIS customization subway station, upper layer can be realized movement, scaling, space querying function；Vector
Figure includes the road-net node in the corresponding region of blind way, realizes and rectifies a deviation to the real-time route planning of user and path.
5. a kind of subway guide algorithm based on Android platform, which comprises the following steps:
Step 1, the guide band in subway station, ticket office and vertical lift location arrangements bluetooth sensor, blind way is divided into
Different mesh points are as tested point；
Step 2, user open the operation interface in Android platform, select destination；
Step 3, Android platform obtain Bluetooth signal sequence, and are uploaded to Cloud Server；
In Bluetooth signal receiver, acceleration transducer and gyroscope acquisition subway station environment in step 4, Android platform
The acceleration value and azimuth information of the RSSI value of Bluetooth signal and user in all directions, collected information upload to fixed
Position algoritic module, location algorithm module carry out user's positioning, plan navigation routine；
Step 5, Voice Navigation module utilize online speech synthesis SDK, search the voice dictionary being stored in txt file, synthesis
The voice messaging of corresponding position point carries out Voice Navigation, uses voice prompting navigation information in key point；
User is navigated to destination by step 6.
6. the subway guide algorithm according to claim 5 based on Android platform, which is characterized in that fixed described in step 4
Position algoritic module carries out user's positioning, plans navigation routine, specific as follows:
Firstly, the corresponding RSSI of subway station different people flow grade and mac address information that are acquired using location algorithm module, structure
Build offline fingerprint database；
Secondly, carrying out data prediction, i.e., convert int type data for MAC Address, and using adaptive Gaussian mixture model algorithm into
Row filtering；
Finally, being positioned in real time in conjunction with online fingerprint matching algorithm and pedestrian's reckoning algorithm to user, wherein referring to online
Line matching algorithm uses the machine learning method of Random Forest model.
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| CN111913852A (en) * | 2020-08-11 | 2020-11-10 | 中国工商银行股份有限公司 | Health management method and device for storage system |
| CN112887902A (en) * | 2021-01-22 | 2021-06-01 | 湖南大学 | Indoor positioning method of WiFi fingerprint based on Gaussian clustering and hybrid measurement |
| CN113259833A (en) * | 2020-02-10 | 2021-08-13 | 南京理工大学 | Subway station auxiliary traveling system and method based on visually impaired passengers |
| CN113271531A (en) * | 2020-02-14 | 2021-08-17 | 南京航轩轨道交通科技有限公司 | Subway station two-point positioning method based on blind road Bluetooth sensor and smart phone |
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| CN110547954A (en) * | 2019-09-06 | 2019-12-10 | 薛丁维 | Blind guiding walking stick |
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| CN114040320A (en) * | 2021-10-14 | 2022-02-11 | 中国联合网络通信集团有限公司 | MEC deployment method, device and computer readable storage medium |
| CN114040320B (en) * | 2021-10-14 | 2023-07-28 | 中国联合网络通信集团有限公司 | MEC deployment method and device and computer readable storage medium |
| CN115225696A (en) * | 2022-07-08 | 2022-10-21 | 北京天融信网络安全技术有限公司 | Remote data interaction method and device |
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Application publication date: 20190813 |