CN105472729A - Big data processing system and method based on WiFi indoor positioning technology - Google Patents
Big data processing system and method based on WiFi indoor positioning technology Download PDFInfo
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Abstract
The invention discloses a big data processing system and method based on the WiFi indoor positioning technology. The system comprises a server end, wireless APs and a client. The client collects the BSSID, the RSSI and the MAC address of each available wireless AP, packs the BSSID, the RSSI and the MAC address in certain format, and then communicates with the server end via the Socket communication technology. The server end comprises a positioning module and an intelligent big data management module; the positioning module receives an access request from the client, provides service for each client in a multi-thread manner, and implements positioning calculation by utilizing a probability model based experiment database positioning method according to RSSI data from the client; and the intelligent big data management module serves as a software service assembly of an intelligent big data platform, and is used for managing users as well as mobile terminals of the system, and inquiring the position of the mobile terminals. The system and method are based on the global universal standard WiFi network, it is not required to establish other networks or facilities, and the system and method have the advantages of accurate positioning and low cost.
Description
Technical field
The present invention relates to Research on Wireless Location Technique field, particularly a kind of large data handling system based on WiFi indoor positioning technologies and method.
Background technology
At present, positioning service market development is rapid, and positioning service demand increases rapidly.Common location technology has gps satellite location, WiFi location etc.Gps satellite location needs could realize more accurate location in relatively spacious, that skyscraper is not intensive place, and indoors cannot use, and power consumption is higher.Based on above-mentioned shortcoming, utilize the WiFi network extensively existed, position and become best-of-breed technology to being in the intensive or indoor objects of housing-group and select.
Positioned by WiFi network, the restriction of GPS in building dense or indoor application can be made up, expand application industry and the scope of positioning service, improve positioning precision, reduce lower deployment cost, improve utilization rate of equipment and installations, strengthen the traffic handing capacity of solution of emergent event, there is important social effect.
Simultaneously along with the large-scale application in each field of large data, based in the anxious growth of every commercial intelligence service of location, WiFi position, these services need rapidly, accurately to collect user's indoor location data, so need to provide a kind of large data handling system based on WiFi indoor positioning technologies and method.
Summary of the invention
Main purpose of the present invention is that the shortcoming overcoming prior art is with not enough, a kind of large data handling system based on WiFi indoor positioning technologies is provided, this system, based on the WiFi network of universal standard, need not build other networks or facility again, has accurate positioning, advantage that cost is low.
Another object of the present invention is to the processing method that a kind of large data handling system based on WiFi indoor positioning technologies is provided.
Object of the present invention is realized by following technical scheme: a kind of large data handling system based on WiFi indoor positioning technologies, and comprise server end, wireless aps and client, wherein client comprises:
Data acquisition module, for gathering BSSID, RSSI (ReceivedSignalStrengthIndicator of each available wireless AP, the intensity instruction of Received signal strength) and MAC Address, and these data are sent to data transmission blocks according to after certain format encapsulation;
Data transmit-receive module, for being wirelessly transmitted to server end by the data of data collecting module collected by the Socket communication technology; And, for the locating information that reception server end sends;
Terminal demonstration module, for the locating information that display server end on terminal map UI sends, and according to built-in large data service application flow, demonstrates business guidance information on terminal map UI;
Server end comprises:
Locating module, for receiving the connection request from client, be each client service in the mode of multithreading, according to the RSSI data that each client is sent, the experience database localization method based on probabilistic model is used to position calculating, and the positioning result write journal file that will draw;
Large data intelligence administration module is a software services component of large data intelligence platform, and for the use user of management system, management belongs to the mobile terminal device of this system, and inquires about with carrying out mobile terminal locations;
Interactive module, for showing the positioning result of locating module, and carries out the bookkeeping of large data intelligence administration module.
Concrete, described locating module comprises:
Socket communication module, communicates for carrying out Socket with the data transmit-receive module in client;
Engine of positioning, for the RSSI mean value that can record the AP number of signal according to site undetermined, this point has each AP of signal, calculates locating point position result by calling probability evaluation entity;
Database operating modules, by the MAC Address data of AP with record AP and be recorded into database at the signal strength data of this point and carry out Various types of data operation;
Probability evaluation entity, for the RSSI mean value that stores in the RSSI value according to current actual measurement, database and the standard deviation corresponding with mean value, the position data probable value of anchor point is calculated according to Gaussian distribution formula, and by these data stored in the experience database based on probabilistic model.
Based on a processing method for the large data handling system of WiFi indoor positioning technologies, comprise step:
(1) start client, obtain the information of network interface card;
(2) according to the BSSID information of wireless aps point around network interface card acquisition of information, RSSI information and MAC Address;
(3) wireless aps sends to the BSSID of the surrounding's wireless aps obtained and corresponding RSSI the locating module of server end by WiFi network, if success, performs step (4); Step (3) is re-executed if unsuccessful;
(4) the RSSI data sent according to each client of the locating module of server end, use the experience database localization method based on probabilistic model to position calculating, and the positioning result drawn are sent to client by wireless aps;
(5), after client receives locating information, on terminal map UI, display is got up, and according to built-in large data service application flow, demonstrates business guidance information on terminal map UI.
Concrete, in described step (4), the step positioning calculating in locating module is:
(4-1) training stage: with radio wave propagation loss in Ferris formulae discovery free space, formula is as follows:
PL＝-Gr–Gt+20log(4πR/λ)＝Gr–Gt+22+20log(R/λ)；
Wherein, Gr and Gt represents reception antenna and transmitter antenna gain (dBi) (dB) respectively, and R is the distance between transceiver, and unit is rice, and λ is wavelength;
Gather great amount of samples, set up the experience database based on probabilistic model of radio wave propagation loss PL and R;
(4-2) positioning stage: the RSSI data sent according to active client, compares it with the RSSI mean value prestored in experience database, obtains probable value, obtain positioning result.
Preferably, in described step (3), client and server end adopts Socket communication mode, and step is as follows:
(3-1) first by server end parameter that Socket communicates be set according to the port that the IP address of self and confer or generally acknowledges and enter the listening port wait client-side service request stage;
(3-2) client can be connected in port whereabouts server end request that is good with deliberation according to the IP address of server or that generally acknowledge;
(3-3) when server end is after listening port waits until client-side service request, server end connects according to corresponding situation or refuses to connect.
Compared with prior art, tool has the following advantages and beneficial effect in the present invention:
1, the present invention is based on the WiFi network of universal standard, without the need to read write line, need not again build other networks or facility, installation is implemented fast flexibly and easily, reduces costs.Client and server end adopts Socket communication mode, the high-speed traffic of location-server and client can be realized, use the streaming traffic agreement with functions such as EDC error detection and correction can ensure that locator data is correctly sent to timely simultaneously, guarantee real-time and the accuracy of navigation system.
2, the present invention can identify at a distance, outdoor more than 300 meters, indoor 100 meters, and indoor and outdoor precise positioning reaches as high as 2.5 meters simultaneously, has the advantage that positioning precision is high.
Accompanying drawing explanation
Fig. 1 is present system hardware structure figure.
Fig. 2 is signal frequency 2.44GHz, the damage curve of the free space when gain of antenna is 0dBi.
Fig. 3 is the structural representation of locating module in the present invention.
Fig. 4 is the structural representation of large data intelligence administration module in the present invention.
Fig. 5 is the process chart of client in the present invention.
Embodiment
Below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention are not limited thereto.
Embodiment 1
Fig. 1 gives the system architecture diagram of the present embodiment, comprises data intelligence platform, engine of positioning, location-server, monitor, wireless aps and wireless handheld terminal.Can see from the topology diagram of this system, system is typical C/S structure, is divided into server end and client two parts.Systems soft ware is also divided into server software and client software.Server software is mainly divided into by function: locating module, large data intelligence administration module, the large module of interactive module three.Client software is divided into by major function: data acquisition module, data transmit-receive module and terminal demonstration module.Below modules is described in detail.
One, locating module
Locating module is the nucleus module of server end, and its major function is responsible for receiving the connection request from client.This module is each client service in the mode of multithreading, and according to the RSSI data that each client is sent, input engine of positioning positions and calculates and the positioning result write journal file that will draw.The structure of this module as shown in Figure 3, comprises Socket communication module, engine of positioning, database operating modules and probability evaluation entity.
1, Socket communication module, communicates for carrying out Socket with the data transmit-receive module in client.
Interface function: unsigned__stdcallsckserver (SOCKETsckid)
Parameter type: input parameter is the identifier of Socket communication, without return parameters
Core technology: the Socket communication under TCP/IP network.
2, engine of positioning, for the RSSI mean value that can record the AP number of signal according to site undetermined, this point has each AP of signal, calculates locating point position result by calling probability evaluation entity.
Interface function: voidlocation (charRSSI_AVG [AP_Num] [2], charresult_out)
Parameter type: input parameter is the two-dimensional array of a character string type, row size is the AP number that this point can record signal, and row size is two, is used for storing the signal strength signal intensity mean value that this point that this point records has each AP of signal
Output parameter is a character string, is positioning result, mainly comprises the parameters such as transverse and longitudinal coordinate
Core technology: use the experience database localization method based on probabilistic model.
3, database operating modules, by the MAC Address data of AP with record AP and be recorded into database at the signal strength data of this point and carry out Various types of data operation.
Interface function: voiddboperation (intRSSI, char*MAC)
Parameter type: input parameter is the MAC Address of AP and records the signal strength signal intensity of AP at this point
Core technology: based on database manipulation and the management of ODBC.
4, probability evaluation entity, for the RSSI mean value that stores in the RSSI value according to current actual measurement, database and the standard deviation corresponding with mean value, the position data probable value of anchor point is calculated according to Gaussian distribution formula, and by these data stored in the experience database based on probabilistic model.
Interface function: intprob-cal (intRSSI, intRSSI_AVG, intRSSI_DEV)
Parameter type: input parameter is respectively the RSSI mean value and the standard deviation corresponding with mean value that store in the RSSI value of current actual measurement, database, and return value is the probable value that this three values are calculated according to Gaussian distribution formula
Core technology: Gaussian distribution formula.
Under indoor environment there is attenuation model relation with propagation distance in the signal strength signal intensity of wireless signal in short distance, can calculate propagation distance by signal strength signal intensity, and therefore, the present invention positions based on signal strength signal intensity (RSSI).Wireless signal is in transmitting procedure, and the power level of Received signal strength and transmission range also exist certain variation relation, finds out the variation relation in specific environment, just can be applied to location technology.
High-frequency wireless signals can be regarded as and emit beam to different directions, then rely on the detailed modeling to indoor environment information, tracking is carried out to set up wireless signal propagation model to each root ray.When wireless signal is at free-space propagation, the ray connecting transceiver can be thought in its path, the radio wave propagation loss that the free sky of available Ferris formulae discovery is asked:
PL＝-Gr–Gt+20log(4πR/λ)＝Gr–Gt+22+20log(R/λ)；
Wherein, Gr and Gt represents reception antenna and transmitter antenna gain (dBi) (dB) respectively, and R is the distance between transceiver, and unit is rice, and λ is wavelength;
As λ=12.3cm, (f=2.44GHz) can draw:
PL2.44＝-Gr–Gt+40.2+20Log(R)。
Fig. 2 illustrates signal frequency 2.44GHz, the damage curve of the free space when gain of antenna is 0dBi.When distance between transceiver is very near, the propagation model of free space is similar with actual propagation.When distance such as in outdoor environment between antenna is less than the height on their distance ground, reflected wave can not form interference to it.
The step positioning calculating in locating module is:
(1) training stage: with radio wave propagation loss in Ferris formulae discovery free space, formula is as follows:
PL＝-Gr–Gt+20log(4πR/λ)＝Gr–Gt+22+20log(R/λ)；
Wherein, Gr and Gt represents reception antenna and transmitter antenna gain (dBi) (dB) respectively, and R is the distance between transceiver, and unit is rice, and λ is wavelength;
Gather great amount of samples, set up the experience database based on probabilistic model of radio wave propagation loss PL and R;
(2) positioning stage: the RSSI data sent according to active client, compares it with the RSSI mean value prestored in experience database, obtains probable value, and (please check, guarantee that technical scheme is known complete), obtains positioning result.
Two, large data intelligence administration module
This module is a software services component of large data intelligence platform, and also corresponding can be called the data handling system of WiFi navigation system, it is the large data management system be based upon on navigation system.User can use this system service by browser or application client, intuitively the use user of management system, and management belongs to the mobile terminal device of this system, and mobile terminal locations inquire about.Its structure as shown in Figure 4, can comprise large data upper layer application, large data service component, operating system and Database Systems.Wherein large data service component can specifically comprise: user management component, device management component, data visualization assembly, positioning component etc., also can carry out adding and revising according to user's request in practical application.
Three, client
The present embodiment client software adopts android system, and this system stability, powerful, extensibility is strong.Client comprises data acquisition module, data transmit-receive module and terminal demonstration module, and its workflow as shown in Figure 5.Major function is responsible for gathering the information such as the RSSI of each available AP and MAC Address, and these data are sent to server end, for locating module according to after certain format encapsulation.
Wherein data acquisition module comprises Device module and Wlanscan module, and Device module is used for calling wireless network card, interface function: Deviceinfo; Type: without input, return value is character array; Core technology: SDK with the network interface card information that can obtain and call the api function of network interface card.Wlanscan module for obtaining BSSID and RSSI, interface function: GetBSSID; Type: without input, return value is character array: core technology: SDK with the api function of acquisition BSSID and RSSI.
Data transmit-receive module is used for the data of data collecting module collected to be wirelessly transmitted to server end by the Socket communication technology; And, for the locating information that reception server end sends.Interface function: C1ient; Type: be input as shaping, without return value; Core technology: the Socket communication technology.
Terminal demonstration module, for the locating information that display server end on terminal map UI interface sends, and according to built-in large data service application flow, demonstrates business guidance information on terminal map UI.
The present embodiment, based on the processing method of the large data handling system of WiFi indoor positioning technologies, comprises step:
(1) start client, obtain the information of network interface card;
(2) according to the BSSID information of wireless aps point around network interface card acquisition of information, RSSI information and MAC Address;
(3) wireless aps sends to the BSSID of the surrounding's wireless aps obtained and corresponding RSSI the locating module of server end by WiFi network, if success, performs step (4); Step (3) is re-executed if unsuccessful;
(4) the RSSI data sent according to each client of the locating module of server end, use the experience database localization method based on probabilistic model to position calculating, and the positioning result drawn are sent to client by wireless aps;
(5), after client receives locating information, on terminal map UI, display is got up, and according to built-in large data service application flow, demonstrates business guidance information on terminal map UI.
The present embodiment adopts Socket to solve the communication issue of server end and client.Socket communication is mainly used in two intercommunications based on the application program of ICP/IP protocol.Socket interface be the API of TCP/IP network, Socket interface definition many functions or routine, programmer can develop the application program on TCP/IP network with them.Application program based on ICP/IP protocol adopts Client/Server pattern usually.When Socket will be adopted between two methods program to communicate, first can set up a Socket between clients and servers and connect.Connect and first by server end parameter that Socket communicates be set according to the port that the IP address of self and confer or generally acknowledges and enter the listening port wait client-side service request stage; Client can be connected by port whereabouts server request that is good with deliberation according to the IP address of server or that generally acknowledge.When server waits until client-side service request at listening port, server can connect according to corresponding situation or refuse to connect.Only have the connection request of client to arrive when server listening port waits for client-side service request and successfully can set up Socket connection.After connection establishment, application program can according to the needs of oneself to the other side's messaging agreement.Use Socket communication can realize the high-speed traffic of location-server and client, use the streaming traffic agreement with functions such as EDC error detection and correction can ensure that locator data is correctly sent to timely simultaneously, guarantee real-time and the accuracy of navigation system.
Above-described embodiment is the present invention's preferably execution mode; but embodiments of the present invention are not restricted to the described embodiments; change, the modification done under other any does not deviate from Spirit Essence of the present invention and principle, substitute, combine, simplify; all should be the substitute mode of equivalence, be included within protection scope of the present invention.
Claims (5)
1., based on a large data handling system for WiFi indoor positioning technologies, comprise server end, wireless aps and client, it is characterized in that, wherein:
Client comprises:
These data for gathering BSSID, RSSI and the MAC Address of each available wireless AP, and are sent to data transmission blocks according to after certain format encapsulation by data acquisition module;
Data transmit-receive module, for being wirelessly transmitted to server end by the data of data collecting module collected by the Socket communication technology; And, for the locating information that reception server end sends;
Terminal demonstration module, for the locating information that display server end on terminal map UI sends, and according to built-in large data service application flow, demonstrates business guidance information on terminal map UI;
Server end comprises:
Locating module, for receiving the connection request from client, be each client service in the mode of multithreading, according to the RSSI data that each client is sent, the experience database localization method based on probabilistic model is used to position calculating, and the positioning result write journal file that will draw;
Large data intelligence administration module is a software services component of large data intelligence platform, and for the use user of management system, management belongs to the mobile terminal device of this system, and inquires about with carrying out mobile terminal locations;
Interactive module, for showing the positioning result of locating module, and carries out the bookkeeping of large data intelligence administration module.
2. the large data handling system based on WiFi indoor positioning technologies according to claim 1, it is characterized in that, described locating module comprises:
Socket communication module, communicates for carrying out Socket with the data transmit-receive module in client;
Engine of positioning, for the RSSI mean value that can record the AP number of signal according to site undetermined, this point has each AP of signal, calculates locating point position result by calling probability evaluation entity;
Database operating modules, by the MAC Address data of AP with record AP and be recorded into database at the signal strength data of this point and carry out Various types of data operation;
Probability evaluation entity, for the RSSI mean value that stores in the RSSI value according to current actual measurement, database and the standard deviation corresponding with mean value, the position data probable value of anchor point is calculated according to Gaussian distribution formula, and by these data stored in the experience database based on probabilistic model.
3., based on a processing method for the large data handling system of WiFi indoor positioning technologies, it is characterized in that, comprise step:
(1) start client, obtain the information of network interface card;
(2) according to the BSSID information of wireless aps point around network interface card acquisition of information, RSSI information and MAC Address;
(3) wireless aps sends to the BSSID of the surrounding's wireless aps obtained and corresponding RSSI the locating module of server end by WiFi network, if success, performs step (4); Step (3) is re-executed if unsuccessful;
(4) the RSSI data sent according to each client of the locating module of server end, use the experience database localization method based on probabilistic model to position calculating, and the positioning result drawn are sent to client by wireless aps;
(5), after client receives locating information, on terminal map UI, display is got up, and according to built-in large data service application flow, demonstrates business guidance information on terminal map UI.
4. the processing method of the large data handling system based on WiFi indoor positioning technologies according to claim 3, is characterized in that, in described step (4), the step positioning calculating in locating module is:
(4-1) training stage: with radio wave propagation loss in Ferris formulae discovery free space, formula is as follows:
PL＝-Gr–Gt+20log(4πR/λ)＝Gr–Gt+22+20log(R/λ)；
Wherein, Gr and Gt represents reception antenna and transmitter antenna gain (dBi) (dB) respectively, and R is the distance between transceiver, and unit is rice, and λ is wavelength;
Gather great amount of samples, set up the experience database based on probabilistic model of radio wave propagation loss PL and R;
(4-2) positioning stage: the RSSI data sent according to active client, compares it with the RSSI mean value prestored in experience database, obtains probable value, obtain positioning result.
5. the processing method of the large data handling system based on WiFi indoor positioning technologies according to claim 3, is characterized in that, in described step (3), client and server end adopts Socket communication mode, and step is as follows:
(3-1) first by server end parameter that Socket communicates be set according to the port that the IP address of self and confer or generally acknowledges and enter the listening port wait client-side service request stage;
(3-2) client can be connected in port whereabouts server end request that is good with deliberation according to the IP address of server or that generally acknowledge;
(3-3) when server end is after listening port waits until client-side service request, server end connects according to corresponding situation or refuses to connect.
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