CN103237291A - Integrated positioning method for mobile terminal and active information service recommendation method - Google Patents

Abstract

The invention provides an integrated positioning method for a mobile terminal and an active information service recommendation method. The integrated positioning method includes: step 1: a satellite positioning signal and a WIFI (Wireless Fidelity)positioning signal are acquired; step 2: the signal strength of the satellite positioning signal and the signal strength of the WIFI positioning signal are compared, and the one with high signal strength is chosen as a positioning signal for the mobile terminal; step 3: the positioning signal for the mobile terminal is sent to a cloud computation server; and step 4: by means of the positioning signal, the mobile terminal receives location service information actively recommended by the cloud computation server. Since the mobile terminal carries out judgment and processing according to the signal strength of the satellite positioning signal and that of a WiFi AP (Access Point) and chooses the one with high RSS (received signal strength) as the positioning signal, the precision of positioning is increased, and moreover, because actively recommended information obtained from a service provider by the cloud computation server is obtained according to the customized demand of the user, the user can be ensured to obtain highly reliable and high-precision recommendation service anytime and anywhere.

Description

The integration localization method of portable terminal and information service be recommend method initiatively

Technical field

The present invention relates to positioning field, particularly a kind of integration localization method of portable terminal and information service active recommend method.

Background technology

Location-based service has been dissolved in people's life gradually, obtain location-based service for people are convenient method is provided, and location information of terminals is to obtain by location technology usually, and provide information service relevant with the position and that satisfy terminal use's demand by mobile network/wireless network to portable terminal, thereby for tailor end user at any time, provide service everywhere.After arriving different scenic spots as different passengers, just can pass through GPS(Global Positioning System), the Big Dipper, mobile network or wireless. network, bluetooth, RFID(Radio Frequency Identification Devices) etc. location technology provide this scenic spot relevant information service for the passenger.But need could locate more accurately in spacious relatively, similar space such as skyscraper is not intensive with regard to GPS/ Big Dipper location, indoor positioning is difficult to satisfy the demands; But at this moment can realize the location by the mobile network, but with regard to present 2G/3G(3rd Generation Telecommunication), network speed is difficult to satisfy the demand that the transmission of customized user chunk data changes; At this moment, just consider WLAN (wireless local area network), particularly WIFI(Wireless Fidelity) realize the location, though WIFI has deficiencies such as reflection, refraction, diffraction running into barrier, it has pretty good effect to indoor positioning, and present most of terminal intelligent machine all has the WIFI function; And problem such as technological orientations such as bluetooth, RFID require close together, locating information to be subject to disturb and data quantity transmitted is limited.And at the wireless main fingerprint algorithm of algorithm, circumferential registration algorithm, CELLID location algorithm and the TOA(Time of Advent of fixing)/TDOA(Time Difference Of Arrival) location algorithm etc.

With regard to position service itself, it is under mobile environment, utilizes GIS(Geographic Information System) technology such as technology, mobile positioning technique and network service provide a kind of service mode of spatial Information Service; Just making that data acquisition and processing (DAP) is important step and the process that location-based service is used, also is that the service quality for location-based service provides important guarantee.Its location technology is based on the prerequisite of location-based service, is the basis that information service is come to provide for different users in the geographical position of directly obtaining the terminal use; Its location technology has GPS/ Big Dipper location, ground triangulation location/mobile network location and hybrid locating method etc. usually at present.And different information services is to be provided by different providers, and the information service that provides real-time change often; User's demand then is at any time, all will obtains effectively everywhere, accurately serves to oneself application provides convenient, helps, simplifies the business arrangement of oneself.

In order to satisfy this customer requirements and customized demand, current computation schema, service mode and station-keeping mode etc. all exist certain limitation and deviation, be difficult to obtain positional information comparatively accurately for the user, be difficult to also that customization for the user requires to provide effectively, information service accurately, arrive different scenic spots as the passenger, then at this moment just can come to provide for it information service at different scenic spots according to the passenger geographical position that obtains; And in this case, the passenger may be in the spaces such as spaciousness, non-dense set type, movement, " indoor ", and relevant information service simultaneously also is distributed in the different service providers place in the different spaces, and the data of these providers are also in real-time change.Therefore, present location and the position service method customized demand that is difficult to satisfy the user.

Summary of the invention

Below embodiments of the invention are elaborated, but the multitude of different ways that the present invention can be defined by the claims and cover is implemented.

The invention provides a kind of positioning accuracy height, can provide initiatively recommend method of the integration localization method of portable terminal of information service and information service by customization.

For this reason, a first aspect of the present invention provides a kind of integration localization method of portable terminal, it is characterized in that, comprising: step 1, obtain satellite positioning signal and WIFI framing signal; Step 2, the signal strength signal intensity of satellite positioning signal and WIFI framing signal relatively selects big one of signal strength signal intensity as the portable terminal framing signal; Step 3 sends to cloud computing server with described portable terminal framing signal; Step 4, portable terminal receive the location service information of initiatively recommending from described cloud computing server by framing signal.

Further, described WIFI framing signal obtains by following method: steps A 1, set up fingerprint database according to the AP situation of zones of different; Steps A 2, scan A P signal when the intensity of AP signal meets pre-provisioning request, is directly located, otherwise execution in step A3; Steps A 3, the AP signal that identification scanning obtains, and adopt partitioning algorithm that described AP signal is divided; Steps A 4 is amplified for the signal of location being not enough in the described AP signal after dividing; Steps A 5 is handled the AP signal after amplifying, to identify the source of this AP signal; If this AP signal can satisfy the location needs, then this AP signal is compared by predefined location routing table and described fingerprint database and mate to finish the location, and use mapping function to realize and the fingerprint database fast mapping, otherwise switch in other division and execution in step A4.

Further, the method that obtains described WIFI framing signal also comprises: steps A 6, when described portable terminal was in the division section of zones of different, division was automaticallyed switch according to difference, in order to trace into all WIFI signals in the zone constantly.

Further, the method that obtains described WIFI framing signal also comprises: steps A 7, set up the utility function satisfy WIFI location validity and user satisfaction, with the uncertainty that effectively prevents the information strength in the zone and stable.

Further, in steps A 5, described coupling is undertaken by following method:

1) uses

Ant is divided the probability of realizing state transitions at AP when being illustrated in time t, and shows tabu with taboo _kThe AP signal of the current institute of expression ant k optimizing, allowed _k={ C-tabu _kRepresenting that ant k allows the AP signal of optimizing next time, C represents all AP signals in the zone; Y (t) is utility function for coupling mapping rate function, F (t), and then satisfying optimum matching result ant state transition probability can be calculated as follows:

If j belongs to allowed _k, then $P_{i,j}^k\left(t\right)={\left[Y_{i,j}\left(t\right)\right]}^{\mathrm{\α}}\·{\left[F_{\mathrm{ik}}\left(t\right)\right]}^{\mathrm{\β}},$ Otherwise $P_{i,j}^k\left(t\right)=0;$

Wherein, α is that amount of information inspires the factor, and β is that expectation inspires the factor, and value is (0,1);

2) utilize following formula that mapping rate Function Y (t) is adjusted:

Y _i,j(t)=(1-ρ)·Y _i,j(t)+△Y _i,j(t)

${\mathrm{\ΔY}}_{i,j}\left(t\right)=\underset{k=1}{\overset{m}{\mathrm{\Σ}}}{\mathrm{\ΔY}}_{i,j}^k\left(t\right)$

In the formula, and (1-ρ) ∈ (0,1] be the variation coefficient from the signal strength signal intensity R that is divided into another division from the mapping rate; △ Y _{I, j}(t) represent that (i is j) in the increments of change of dividing on switching in this circulation; When initial, △ Y _{I, j}(t)=0; Represent k ant in circulation once switching state (i j) goes up the value of signal strength signal intensity R, then:

${\mathrm{\ΔY}}_{i,j}^k\left(t\right)=\left\{\begin{array}{c}R\\ 0\end{array}\right.$

In the formula, the situation of 0 expression except R.

3) after reaching predetermined positioning accuracy, stop to optimize coupling.

Further, described location-based service recommendation information is the zone at described portable terminal place and the location-based service of this area peripheral edge.

As a second aspect of the present invention, a kind of information service active recommend method of facing position is provided, it is characterized in that comprise: step 1, cloud computing server are obtained the portable terminal framing signal from portable terminal; Step 2, cloud computing server obtains the location-based service recommendation information of recommendation from serving the provider, and described location-based service recommendation information is sent to described portable terminal according to customized demand and described portable terminal framing signal from described portable terminal; Step 3, cloud computing server receive from described portable terminal the evaluation conclusion of described location-based service recommendation information and evaluation reason; Step 4, if customized demand is not satisfied in the service of described recommendation, and evaluation result is dissatisfied, then cloud computing server further receives the new customized demand from described portable terminal, and obtain the location-based service recommendation information of recommendation from serving the provider again according to described new customized demand and described portable terminal framing signal, and this location-based service recommendation information is sent to described portable terminal.

Further, in described step 3,4, cloud computing server also sends to client service center with described unsatisfied evaluation result and evaluation reason thereof.

Further, described location-based service recommendation information is the zone at described portable terminal place and the location-based service of this area peripheral edge.

After the user opens portable terminal, portable terminal is according to the AP(Access Point of satellite positioning signal (for example GPS and/or the Big Dipper) and WIFI) point signal strength signal intensity (RSS:Received Signal Strength) differentiate, and select RSS big as framing signal, realize terminal positioning with the positional information that obtains the terminal use, improved locating accuracy, so that for the terminal use provides effective location-based service, and obtain to go calculation server from serving the active recommendation information that the provider obtains according to user's customized demand.Like this, the user can be at any time, acquisition everywhere satisfies the information service of own demand.

Description of drawings

Fig. 1 is that the unified positional information under the cloud computing environment in the preferred embodiment is obtained and the processing procedure schematic diagram;

Fig. 2 is a WIFI engine of positioning structural representation in the preferred embodiment; And

Fig. 3 is the information service active recommending module structure of a facing position in the preferred embodiment.

Embodiment

Based on the analysis of background technology, the present invention proposes a kind of localization method under cloud computing environment and effectively solves existing deficiency.And cloud computing is to solve problems such as distributed scalability, shared software and hardware resources and information service recently, it is a kind of distribution computation schema based on Internet, thereby makes cloud computing can efficiently solve the requirement that location-based service real-time, magnanimity information and data are handled.

The description of following each several part please refer to Fig. 1 to Fig. 3.

As one aspect of the present invention, provide a kind of integration localization method of portable terminal.This method comprises:

Step 1 is obtained satellite positioning signal and WIFI framing signal; Integrate these two kinds of framing signals and be for ensure the terminal use can be at any time, everywhere realization location-based service, namely allow terminal can obtain location-based service in indoor and outdoor, especially only be provided at the location-based service that reaches periphery whenever and wherever possible for terminal, after arriving different scenic spots as the passenger, ordinary circumstance only provides the travel information service of this scenic spot and periphery for the passenger.

Step 2, the signal strength signal intensity of satellite positioning signal and WIFI framing signal relatively selects big one of signal strength signal intensity as the portable terminal framing signal, to guarantee that the user can realize comparatively accurate localization whenever and wherever possible;

Step 3 sends to cloud computing server with described portable terminal framing signal; Like this, behind terminal use's realization location accurately and fast, just can realize the customize services of each self terminal, and realize that to the terminal use information on services initiatively recommends according to the cloud computing server of this place and periphery, thereby provide location-based service efficiently for the terminal of different customized demand.

Step 4 receives the location-based service recommendation information of initiatively recommending according to described portable terminal framing signal from described cloud computing server.

After the user opens portable terminal, portable terminal is according to the AP(Access Point of satellite positioning signal (for example GPS and/or the Big Dipper) and WIFI) point signal strength signal intensity (RSS:Received Signal Strength) differentiate, and select RSS big as framing signal, realize terminal positioning with the positional information that obtains the terminal use, improved locating accuracy, so that for the terminal use provides effective location-based service, and obtain to go calculation server from serving the active recommendation information that the provider obtains according to user's customized demand.Like this, the user can be at any time, acquisition everywhere satisfies the information service of own demand.

Arrive different scenic spots, location, position and environment as the passenger, particularly behind the scenic spot, can both realize the demand of oneself by the present invention, come for different passengers provides the information service of satisfying locational requirement, make the passenger at the scenic spot and periphery obtains satisfied tourism consumption.Thereby improve the information service locating accuracy and reduce the delay that transmits information service.This is because after the passenger arrives different scenic spots, location-based service by location technology, the travel information service (as lodging information, catering information etc.) of scenic spot and periphery only is provided for them, so just effectively reduce the passenger and obtain the complexity of travel information service, simplified the flow process that information service is obtained.

Fingerprint localization method of the prior art comes according to signal characteristic and has built the signal characteristic of preserving in the fingerprint database construction to shine upon, mate realization location afterwards by identification AP number and signal strength signal intensity then.Its fingerprint database is effectively to utilize multipath effect, and itself and positional information are combined, and is used as fingerprint by the multipath structure of channel at the uniqueness of same position point in the little zone of WIFI environmental change.But owing to be subjected to non-line-of-sight propagation, multipath transmisstion, environmental change, and need set up problems affect such as a plurality of AP data reference points and the existence of fingerprint database renewal difficulty, make its positioning accuracy and delay be difficult to arrive a desirable effect; But compare other algorithms such as circumferential registration algorithm and CELLID location algorithm, the fingerprint location algorithm also has the precision height, postpones advantages such as weak point, less error.When concrete employing fingerprint location algorithm, adopt respectively training and two stages of location usually, mainly realize identification and the judgement of AP number and information strength in the training stage, the main employing such as NN(Nearest Neighbor in the location), KWNN(K-Weighted Nearest Neighbor KNN(K-Nearest Neighbor)) and NNA(Neural Network Algorithm) scheduling algorithm realizes mating, and finally finishes the location.And there are not effective mapping relations in the decay when the WIFI signal is propagated and the distance between attenuation of signal intensity and the transceiver, thereby use traditional station-keeping mode to be difficult to obtain satisfied positioning accuracy.

For this reason, the WIFI location mechanism that the present invention proposes a kind of ant group optimization under cloud environment solves these deficiencies, for improving positioning accuracy, making things convenient for quick use of terminal use to create conditions.Preferably, described WIFI framing signal obtains by following method:

Steps A 1 is set up fingerprint database according to the AP situation of zones of different; These data can make up by Hadoop+Habse+Hive, satisfying the requirement of cloud computing, and upgrade set of signals (generally including coordinate, title, address and RSS etc.) in the fingerprint database easily fast.

Problem such as the AP swinging of signal is qualitative in order to solve, the mapping relations between decay and transceiver are asymmetric, the present invention solves this problem by the mode of following steps A 2-A7, and a kind of engine of positioning of the WIFI of satisfying fingerprint positioning requirements also namely is provided.

Steps A 2, scan A P signal is when the intensity of AP signal meets pre-provisioning request, directly the location (that is to say, fix according to strong and weak realization of signal, namely when signal stabilization, intensity is strong, decay is slow, when the distance between receiving equipment is moderate, just directly realize the location), otherwise execution in step A3;

Steps A 3, the AP signal that identification scanning obtains, and adopt partitioning algorithm that described AP signal is divided; For example, can divide by the division methods of following document: phase soldier, Yang Xingjiang, horse Hongjiang. based on the SaaS addressing interrupt software generation strategy of partitioning algorithm. computer application, 2012,32 (2): 561-565.Obviously, also can adopt other partitioning algorithm of this area.

Preferably, partitioning algorithm is described as: establish P={P ₁, P ₂..., P _NBe directed graph G=＜V, E〉a division (wherein, V is vertex set, and E is the limit collection), P _iSet for part of nodes among the G is called module, and note X (P _i) for belonging to P _iThe set of all nodes, and minimum the division with X＜-1 ,-1 ... ,-1〉expression, maximum division X＜-n, 0 ..., 0〉expression (wherein, n represents positive integer); P (v _i) be node v _iThe module at place, and this division meets the following conditions:

1) $\underset{i=1}{\overset{N}{\∩}}X\left(P_i\right)=\mathrm{\Φ};$

2) $\underset{i=1}{\overset{N}{\∪}}X\left(P_i\right)=V;$

3)

(wherein,

Be expressed as empty set)

4) $\∀e_k=(V_i,V_j)\∈E,X\left(V_i\right)\→X\left(V_j\right)$ (for $\∀e_k\∈E,$ , e then _k=(v _i, v _j) ∈ E shows node v _iWith v _jBetween belong to limit collection E), e wherein _kThe limit item of expression limit collection E.

Then can be divided into three parts to the AP signal in the zone forms: and＜root (i, x), Jion_block (i, j, x), meet_hash (x ₁, x ₂), wherein, (i v) represents G is divided into the root of tree to root, and (i, j represent that v) two Pi modules connect meet_hash (v to Jion_block ₁, v ₂) represent to adopt Hash to show the time of balance different masses connection.

Steps A 4 is amplified for the signal of location being not enough in the described AP signal after dividing, and comes wherefrom in order to distinguish these AP signals, and these signals are just caused by what reason can not be enough to the location.A common weak signal table is set usually, and this is convenient to the reason that weak signal causes is regulated.

Steps A 5 is handled the AP signal after amplifying, to identify the source of this AP signal; If this AP signal can satisfy the location needs, then this AP signal is compared by predefined location routing table and described fingerprint database and mate to finish the location, and use mapping function to realize and the fingerprint database fast mapping, otherwise switch in other division and execution in step A4.For example, this mapping function efficient (%) is defined as: Y:A → D, and wherein Y represents mapping function, and A represents the signal in the signal routing table of engine of positioning, and D represents fingerprint database.

Preferably, the method that obtains described WIFI framing signal also comprises: steps A 6, when described portable terminal was in the division section of zones of different, division was automaticallyed switch according to difference, in order to trace into all WIFI signals in the zone constantly.It can ensure the terminal use in the zone, indoor external enwergy continuous positioning, and can continue the service recommended of acquisition.

Preferably, the method that obtains described WIFI framing signal also comprises: steps A 7, set up the utility function satisfy WIFI location validity and user satisfaction, with the uncertainty that effectively prevents the information strength in the zone and stable.Especially, realize the relation of location efficiency (%) E and user satisfaction S with this utility function, this utility function can be described as: F:E → S.And different divisions, corresponding effectiveness is different, and also has deviation at the matching effect that fingerprint database is finished.Just can effectively prevent that with steps A 2-A6 the RSS in the zone is uncertain and stable by this step.

Preferably, in steps A 5, described coupling is undertaken by following method, especially, this satisfies the optimization method of Signal Matching, and adopts ant group algorithm to be optimized, and then the optimisation strategy of ant group algorithm is described below (optimizing stop condition is to finish the user terminal location smoothly):

1) uses

Ant k divides the probability of realizing state transitions at AP when being illustrated in time t, and shows tabu with taboo _kThe AP signal of the current institute of expression ant k optimizing, allowed _k={ C-tabu _kRepresenting that ant k allows the AP signal of optimizing next time, C represents all AP signals in the zone; Y (t): A → D, wherein Y (t) represents mapping function, and A represents the signal in the routing table of described location, and D represents fingerprint database; F (t): E → S, wherein F (t) is the utility function that satisfies WIFI location validity and user satisfaction; E is that location efficiency (%), S are user satisfaction, and then satisfying optimum matching result ant state transition probability can be calculated as follows:

If j belongs to allowed _k, then $P_{i,j}^k\left(t\right)={\left[Y_{\mathrm{ij}}\left(t\right)\right]}^{\mathrm{\α}}\·{\left[F_{\mathrm{ik}}\left(t\right)\right]}^{\mathrm{\β}},$ Otherwise $P_{i,j}^k\left(t\right)=0;$

Wherein, α is that amount of information inspires the factor, and β is that expectation inspires the factor, and value is (0,1); Wherein, i, j represent the value of the state transitions of different zonings,, and be greater than zero positive integer, as

The transition probability of expression ant k between state i and state j, F _Ik(t) the expression zoning state i of utility function in time t and the value of utility of the residing zoning of ant k state, Y _Ij(t) expression mapping function in time t zoning state i and the mapping value of j.

2) utilize following formula that mapping rate Function Y (t) is adjusted:

Y _i,j(t)=(1-ρ)·Y _i,j(t)+△Y _i,j(t)

${\mathrm{\ΔY}}_{i,j}\left(t\right)=\underset{k=1}{\overset{m}{\mathrm{\Σ}}}{\mathrm{\ΔY}}_{i,j}^k\left(t\right)$

In the formula, and (1-ρ) ∈ (0,1] be the variation coefficient from the signal strength signal intensity R that is divided into another division from the mapping rate, ρ ∈ [0,1), the attenuation coefficient of expression R; △ Y _{I, j}(t) represent that (i is j) in the increments of change of dividing on switching in this circulation; M represents the ant number; When initial, △ Y _{I, j}(t)=0;

Represent k ant in circulation once switching state (i j) goes up the value of signal strength signal intensity R, then:

${\mathrm{\ΔY}}_{i,j}^k\left(t\right)=\left\{\begin{array}{c}R\\ 0\end{array}\right.$

In the formula, the situation of 0 expression except R.

3) after reaching predetermined positioning accuracy, stop to optimize coupling.

Preferably, described location-based service recommendation information is the scenic spot at described portable terminal place and the location-based service of this scenic spot periphery.

Please refer to Fig. 3, problem such as the AP swinging of signal is qualitative in order to solve, the mapping relations between decay and transceiver are asymmetric, the engine of positioning that proposes a kind of WIFI of satisfying fingerprint positioning requirements solves this problem, its this engine is made up of signal scanner, signal identifier, signal amplifier, signal processor, signal controller and signal tracer, and represents with R by engine of positioning signal strength signal intensity later.

Signal scanner: be used for scan A P signal, and judge signal strength signal intensity; Simultaneously, fix according to strong and weak realization of signal, i.e., decay strong when signal stabilization, intensity slowly, when the distance between receiving equipment is moderate, just directly realization is located.Otherwise then revise by the WIFI engine of positioning.

Signal identifier: be that the scanner scanning result is carried out signal identification, namely the AP signal in the zone identified, judged, and adopt partitioning algorithm that the AP signal in the zone is divided.

Signal amplifier: be exactly the signal in dividing and be not enough to amplify as the signal of location, come wherefrom in order to distinguish these AP signals, these signals are just caused by what reason can not be enough to the location.A common weak signal table is set usually, and this is convenient to the reason that weak signal causes is regulated.

Signal processor: be exactly that the result after the signal amplification is handled, come wherefrom with the AP signal of finding this moment, if the signal of this moment can satisfy the location needs, then direct and fingerprint database compares and mates, if the signal of this moment is not enough to satisfy positioning requirements, then switch in other division.

Signal controller: be exactly to whole engine of positioning realization control, coordination and balanced, so that the time delay of the accurate location of the help WIFI that this engine can be stable and shortening location.

Signal tracer: ensure the terminal use in the zone, indoor external enwergy continuous positioning, and can continue the service that acquisition is recommended.Namely when the user is in the division section of zones of different, can divide according to difference and automatically switch so that continue trace into all WIFI signals in the zone.

As a second aspect of the present invention, a kind of information service active recommend method of facing position service is provided, comprising:

Step 1, cloud computing server are obtained the portable terminal framing signal from portable terminal, and especially, this portable terminal framing signal can obtain by the integration localization method of above-mentioned portable terminal;

Step 2, cloud computing server obtains the location-based service recommendation information of recommendation from serving the provider, and described location-based service recommendation information is sent to described portable terminal according to customized demand and described portable terminal framing signal from described portable terminal.Especially, according to the service that provides of serving the provider, and initiatively recommendation of user's customized demand realization service, to improve the income of service provider and operator to greatest extent.

Step 3, cloud computing server receive from described portable terminal the evaluation conclusion of described location-based service recommendation information and evaluation reason;

Step 4, if described evaluation result can not satisfy customized demand for service dissatisfied and that recommend, then cloud computing server further receives the new customized demand from described portable terminal, and obtain the location-based service recommendation information of recommendation from serving the provider again according to described new customized demand and described portable terminal framing signal, and this location-based service recommendation information is sent to described portable terminal.

Especially, by the GPS/ Big Dipper with based on the location mechanism of the WIFI of ant group strategy, make the terminal use can be at any time, provide clog-free location everywhere, this has effectively satisfied the basic demand of location-based service.Therefore, the mode of initiatively recommending is adopted in the information service of the facing position among the present invention initiatively recommend method, can be effectively for the terminal use provides as required positioning service, thereby be transformed into initiatively recommendation from traditional passive recommendation for different users.

In addition, the present invention can carry out information processing to the recommendation service of locating information and position-based service, makes its whole positioner can realize information exchange and data processing.At this moment, just need under cloud computing environment, realize efficient with flexible parallelly handle in real time, being that the user brings the experience that satisfies the demands in real time.On the one hand, the terminal use will be sent in the cloud computing environment by locating information and locating information according to the demand customize services of oneself; Also has the function that receives information on services.On the other hand, the present invention also can make the service provider realize registering at any time and issuing service according to the customization requirement, to satisfy user's customization requirement timely.

Preferably, in described step 4, cloud computing server also sends to client service center with described unsatisfied evaluation result and evaluation reason thereof.

Preferably, described location-based service recommendation information is the zone at described portable terminal place and the location-based service of this area peripheral edge.

Be that the present invention will be described for example with passenger's service of obtaining below:

1, location mechanism of the present invention carries out under cloud computing environment, therefore, and when cloud computing environment possesses and after communication mechanism and ground diagram technology etc. all satisfied, efficient of the present invention just can well embody.

2, with method of the present invention with program development after, be embedded in application program of separately end/each end and in the environment by service, client and cloud computing environment requirement respectively.

3, the present invention positions and the implementation recommendation of taking the initiative in offering a hand with the zone, and namely when the passenger arrived different scenic spots, its location and service recommendation were only limit the location-based service of this scenic spot and this scenic spot periphery.So just can advantages such as hunting zone have also been reduced so that the passenger gets access to practical recommendation service easily in this scenic spot.

4, after passenger (terminal use) is about to arrive certain scenic spot.Can be descended flow process according to the present invention:

1) after the passenger opens locating terminal, just position according to WIFI signal in the GPS/ Big Dipper and the zone, the AP signal source according to GPS/ Big Dipper typical regional characters and WIFI realizes accurately location of scenic spot and periphery simultaneously.

2) critical value is default value usually, namely when locating optimizing, the WIFI based on ant group strategy to this critical value, just can realize the location smoothly, but the terminal use can change this critical value according to the demand of oneself, can satisfy the positioning requirements of oneself more, in order to obtain the business service of more satisfied location-based service and position-based service.

3) finish the location after, the passenger just can carry out customize services setting by demand by terminal equipment, and the result is sent to cloud computing service centre, to realize being that the user provides service fast and effectively by cloud computing.

4) after cloud computing environment carries out fast analyzing and processing according to user's customized demand, initiatively provide the information service of this scenic spot and periphery for the user.

5) user obtains service, and determines whether the service that provides can satisfy the demand of oneself, if do not satisfy, then sends cause of dissatisfaction, and sends out a demand customization again again.After cloud computing service centre receives customized demand and reason again, carry out active again automatically and recommend, and send recommendation service and passenger's cause of dissatisfaction to the Call center at cloud computing center.

6) passenger obtains to satisfy the demand service of oneself, and comments on.

Can both realize the location at any time, everywhere in order to satisfy user terminal, and can effectively obtain towards the location-based service of location that the present invention innovates from the following aspects.

1, proposed to satisfy the unified positional information that indoor and outdoor, various modes merge and obtained and processing method, this method can realize obtaining and handling of framing signal under the GPS/ Big Dipper and WIFI signal.

2, location mechanism of the present invention is implemented in cloud computing environment.

3, set up the engine of positioning that satisfies the indoor and outdoor location, this engine satisfies the GPS/ Big Dipper also can satisfy the WIFI positioning requirements.Because the location of the GPS/ Big Dipper is directly to be provided by provider, only these positioners need be joined the present invention and get final product; In this case, different framing signals is then selected automatically according to the position signalling intensity of user terminal in the location.

4, in order to make the interior WIFI signal in zone in a organized way and structure, adopted partitioning algorithm to divide, this provides changing method for follow-up fingerprint matching optimizing based on ant group strategy.

5, according to WIFI signal strength signal intensity (GPS/ Big Dipper framing signal under environment such as spaciousness all covers usually), and mapping rate function and the utility function set up; Simultaneously, the WIFI of setting location critical value (as the 0.9) ant group algorithm that designs a kind of WIFI of satisfying positioning and optimizing is realized high-precision location.

6, foundation is located transmission assembly, demand customization transmitting-receiving subassembly, service registry issue assembly, service recommendation assembly, is located the information service active recommending module that the realization assembly is realized facing position.

7, in order to handle locating information, location-based service and information service, be provided with an information service and gather the processing that under cloud computing environment, realizes data and information with processing module in real time.

By the present invention, can be in indoor and outdoor, realize omnibearing location at any time, everywhere, and can effectively improve positioning accuracy and reduce time delay, for the terminal use brings perfect experience effect.Especially, by omnibearing location mechanism of the present invention, and under cloud computing environment, the service that can provide on-demand customization to require for different terminal uses.

The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (9)

1. the integration localization method of a portable terminal is characterized in that, comprising:

Step 1 is obtained satellite positioning signal and WIFI framing signal etc.;

Step 2, the signal strength signal intensity of satellite positioning signal and WIFI framing signal relatively selects big one of signal strength signal intensity as the portable terminal framing signal;

Step 3 sends to cloud computing server with described portable terminal framing signal;

Step 4 receives the location-based service recommendation information of initiatively recommending according to described portable terminal framing signal from described cloud computing server.

2. integration localization method according to claim 1 is characterized in that, described WIFI framing signal obtains by following method:

Steps A 1 is set up fingerprint database according to the AP situation of zones of different;

Steps A 2, scan A P signal when the intensity of AP signal meets pre-provisioning request, is directly located, otherwise execution in step A3;

Steps A 3, the AP signal that identification scanning obtains, and adopt partitioning algorithm that described AP signal is divided;

Steps A 4 is amplified for the signal of location being not enough in the described AP signal after dividing;

Steps A 5 is handled the AP signal after amplifying, to identify the source of this AP signal; If this AP signal can satisfy the location needs, then this AP signal is compared by predefined location routing table and described fingerprint database and mates to finish the location, otherwise switch to other divide in execution in step A4 also.

3. integration localization method according to claim 2 is characterized in that, the method that obtains described WIFI framing signal also comprises:

Steps A 6, when described portable terminal was in the division section of zones of different, division was automaticallyed switch according to difference, in order to trace into all WIFI signals in the zone constantly.

4. integration localization method according to claim 2 is characterized in that, the method that obtains described WIFI framing signal also comprises:

Steps A 7 is set up the utility function satisfy WIFI location validity and user satisfaction, with the uncertainty that effectively prevents the information strength in the zone and stable.

5. integration localization method according to claim 2 is characterized in that, in steps A 5, described coupling is undertaken by following ant group policy optimization method:

1) uses

Ant k divides the probability of realizing state transitions at AP when being illustrated in time t, and shows tabu with taboo _kThe AP signal of the current institute of expression ant k optimizing, allowed _k={ C-tabu _kRepresenting that ant k allows the AP signal of optimizing next time, C represents all AP signals in the zone; Y (t): A → D, wherein Y (t) represents mapping function, and A represents the signal in the routing table of described location, and D represents fingerprint database; F (t): E → S, wherein F (t) is the utility function that satisfies WIFI location validity and user satisfaction; E is that location efficiency (%), S are user satisfaction, and then satisfying optimum matching result ant state transition probability can be calculated as follows:

If j belongs to allowed _k, then $P_{i,j}^k\left(t\right)={\left[Y_{\mathrm{ij}}\left(t\right)\right]}^{\mathrm{\α}}\·{\left[F_{\mathrm{ik}}\left(t\right)\right]}^{\mathrm{\β}},$ Otherwise $P_{i,j}^k\left(t\right)=0;$

Wherein, α is that amount of information inspires the factor, and β is that expectation inspires the factor, and value is (0,1); I, j represent the value of the state transitions of different zonings, and are the positive integer greater than zero.

2) utilize following formula that mapping rate Function Y (t) is adjusted:

Y _i,j(t)＝(1-ρ)·Y _i,j(t)+ΔY _i,j(t)

$\mathrm{\Δ}{Y}_{i,j}\left(t\right)=\underset{k=1}{\overset{m}{\mathrm{\Σ}}}\mathrm{\Δ}{Y}_{i,j}^k\left(t\right)$

In the formula, and (1-ρ) ∈ (0,1] be the variation coefficient from the signal strength signal intensity R that is divided into another division from the mapping rate, ρ ∈ [0,1), represent the attenuation coefficient of following R; Δ Y _{I, j}(t) represent that (i is j) in the increments of change of dividing on switching in this circulation; M represents the ant number; When initial, Δ Y _{I, j}(t)=0;

Represent k ant in circulation once switching state (i j) goes up the value of signal strength signal intensity R, then:

$\mathrm{\Δ}{Y}_{i,j}^k\left(t\right)=\left\{\begin{array}{c}R\\ 0\end{array}\right.$

In the formula, the situation of 0 expression except R.

3) after reaching predetermined positioning accuracy, stop to optimize coupling.

6. integration localization method according to claim 1 is characterized in that, described location-based service recommendation information is the zone at described portable terminal place and the location-based service of this area peripheral edge.

7. the information service active recommend method of a facing position service is characterized in that, comprising:

Step 1, cloud computing server are obtained the portable terminal framing signal from portable terminal;

Step 2, cloud computing server obtains the location-based service recommendation information of recommendation from serving the provider, and described location-based service recommendation information is sent to described portable terminal according to customized demand and described portable terminal framing signal from described portable terminal;

Step 3, cloud computing server receive from described portable terminal the evaluation conclusion of described location-based service recommendation information and evaluation reason;

Step 4, if described evaluation result can not satisfy customized demand for service dissatisfied and that recommend, then cloud computing server further receives the new customized demand from described portable terminal, and obtain the location-based service recommendation information of recommendation from serving the provider again according to described new customized demand and described portable terminal framing signal, and this location-based service recommendation information is sent to described portable terminal.

8. according to the described information service active of claim 7 recommend method, it is characterized in that in described step 3 or 4, cloud computing server also sends to client service center with described unsatisfied evaluation result and evaluation reason thereof.

9. according to the described information service active of claim 7 recommend method, it is characterized in that described location-based service recommendation information is the zone at described portable terminal place and the location-based service of this area peripheral edge.

Images