CN105376714B - A kind of localization method and device - Google Patents

Abstract

The embodiment of the present invention discloses a positioning method and device. The method includes: determining the target location of the user, and predicting the time when the user arrives at the target location; The positioning basis information is pushed to the user client for storage, so as to instruct the client to perform positioning according to the positioning basis information. According to the technical solution provided by the embodiment of the present invention, the client can realize positioning without a network and improve the success rate of offline positioning of the user near a non-resident location.

Description

A positioning method and device

technical field

Embodiments of the present invention relate to the technical field of offline positioning, and in particular, to a positioning method and device.

Background technique

In the existing positioning technology, when the client locates, it needs to connect to the network, and send the positioning request information to the positioning server and receive the positioning result through the network. positioning needs.

Contents of the invention

Embodiments of the present invention provide a positioning method and device, so as to improve the success rate of positioning when a user locates near a non-resident point.

On the one hand, an embodiment of the present invention provides a positioning method, including:

Determine the user's target location and predict the time when the user will arrive at said target location;

Before the predicted time, push the positioning basis information within the range of the target location to the user client for storage, so as to instruct the client to perform positioning according to the positioning basis information.

On the other hand, an embodiment of the present invention also provides a positioning device, including:

A target location time prediction unit, configured to determine the target location of the user, and predict the time when the user arrives at the target location;

A positioning basis information pushing unit, configured to push the positioning basis information within the range of the target location to the user client for storage before the predicted time, so as to instruct the client to perform positioning according to the positioning basis information .

In the technical solution provided by the embodiment of the present invention, by determining the target location of the user and predicting the time when the user arrives at the target location, before the predicted time, the location basis information within the range of the target location is pushed to the user client end for storage. The client can realize positioning when there is no network; in addition, since the determined target location is generally a non-resident location that the user is likely to go to, the user's location basis information within the range of the non-resident point is pushed to the client and carried out. Storage, when the client receives the user's positioning request within the non-resident point range, the positioning can be successful, which can improve the success rate of the user's offline positioning at the target location, that is, not near the permanent location, and satisfy the user's offline positioning when traveling demand.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

FIG. 1 is a schematic flowchart of a positioning method provided in Embodiment 1 of the present invention;

FIG. 2 is a schematic flowchart of a positioning method provided in Embodiment 2 of the present invention;

Fig. 3 is a schematic structural diagram of a positioning device provided by Embodiment 3 of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described through implementation with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the embodiment of the present invention. Some, but not all, embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Embodiment one

FIG. 1 is a schematic flowchart of a positioning method provided in Embodiment 1 of the present invention. This method is suitable for the situation where positioning basis information needs to be pushed to the client, and can be executed by a positioning device configured in a positioning server, and the device can be implemented by software and/or hardware. Referring to Figure 1, the data push method provided in this embodiment specifically includes the following operations:

S110. Determine the target location of the user, and predict the time when the user arrives at the target location;

The user's target location is the geographic location relative to the user's resident location. The resident location is the user's residence and other frequently-active places. unreached locations. Specifically, the target location of the user can be analyzed according to the user information, for example, if it is analyzed according to the user information that the user will go to a non-resident location, then the location the user will go to can be used as the target location of the user. After the user's target location is determined, the time when the user reaches the target location can be predicted, specifically, the time to reach the target location can be predicted according to user behavior information and living habits. The prediction method is not limited, and the predicted time is generally not later than the time when the user actually reaches the target location.

S120. Before the predicted time, push positioning basis information within the range of the target location to the user client for storage, so as to instruct the client to perform positioning according to the positioning basis information.

According to the offline positioning technology used by the positioning platform, the positioning basis information may include WIFI and/or base station fingerprint database information. The client can use the fingerprint database for positioning. The specific form and content of the fingerprint database in the offline positioning technology are existing technologies, and relevant positioning technologies can be referred to.

Since the determined target location of the user is the user's non-resident location, the general user is not familiar with the geographical environment of the non-resident location, and the possibility of using the positioning function at the target location is relatively high. Therefore, it is necessary to push the location basis information within the range of the target location to the user client for storage before the predicted time, that is, before the user reaches the target location. For example, according to the analysis of user information, it is determined that the user will go to a shopping mall for consumption, and the time when the user arrives at the shopping mall is predicted to be a certain time on Sunday, and the positioning basis information can be pushed to the user client before Sunday and stored. When the client receives the positioning request, it can perform positioning according to the stored positioning basis information.

In the technical solution provided by this embodiment, by determining the target location of the user and predicting the time when the user arrives at the target location, before the predicted time, the location basis information within the range of the target location is pushed to the user client to store. The client can realize positioning when there is no network; in addition, since the determined target location is generally a non-resident location that the user is likely to go to, the user's location basis information within the range of the non-resident point is pushed to the client and carried out. When the client receives a location request from a user within the range of non-resident points, the location will be successful. It can improve the success rate of the user's offline positioning at the target location, that is, not near the permanent location, and meet the user's demand for offline positioning when traveling.

Embodiment two

FIG. 2 is a schematic flow chart of a positioning method provided in Embodiment 2 of the present invention. This embodiment optimizes operation S110 on the basis of the above-mentioned embodiments. Referring to FIG. 2, the data push method provided by this embodiment specifically includes the following operations:

210. Based on user behavior information and/or user attribute information analysis, determine that the user has potential travel behavior information;

Wherein, the user behavior information may include at least one of user subscription behavior information, consumption behavior information, and search behavior information.

There are many kinds of user behavior information. It is necessary to analyze the user behavior information to determine the behavior information of the user's potential travel. The behavior information of the user's potential travel can be related to the current behavior and has a high probability based on the current behavior. The act of going out. For example, if a user books a certain hotel in a different place, it means that the user needs to stay at the booked hotel in a different place, and the behavior of the user booking a hotel in a different place can be determined as a behavior that the user has a potential trip.

220. Determine the target location of the user according to the behavior information with potential travel;

In daily life, the user's target location is generally a geographical location that the user has not yet reached. The user's target location has a certain connection with the user's potential travel, and the user's target location can be determined according to the behavior information of the user's potential travel.

For example, when a user reserves a restaurant or hotel in a certain location, the location can be determined as the user's target location; when the user makes an appointment with a doctor in a hospital online, the hospital can be determined as the user's target location; Movie tickets of movie theaters or group-buying coupons of restaurants in a certain business district can be used as the target location of the user. When a user searches for a scenic spot or a route map, the scenic spot can be determined as the user's target location.

Or, determine the user's potential travel behavior information according to the user attribute information, and determine the user's target location according to the user's potential travel behavior information. Location. For example, if it is analyzed that the user prefers to shop, the shopping mall that matches the user's consumption can be used as the user's target location.

It is also possible to comprehensively determine the user's potential travel behavior information according to the user's behavior information and user attribute information, and determine the user's target location according to the user's potential travel behavior information. For example, if the user likes to play badminton and is searching for nearby badminton halls recently, indicating that the user wants to go to the nearby badminton halls for exercise, one or more badminton halls that are closer to the user's address can be used as the user's target location.

230. Predict the time when the user arrives at the target location.

After determining the user's target location, it is also necessary to predict the time when the user arrives at the target location based on the behavior information with potential travel. Depending on the behavior information of the user's potential travel, the predicted time will be different.

Further, in order to ensure the accuracy of predicting the time when the user arrives at the target location, the time when the user arrives at the target location may be predicted according to the time information associated with the behavior information with potential travel.

For example, if a user purchases a movie ticket for a movie theater online, there will be a corresponding movie show time on the purchased movie ticket. The movie show time can be used as the time associated with the user's purchase behavior, and the user's arrival can be predicted based on the movie show time. The movie theater time. For example, it is predicted that the user will arrive at the movie theater one hour before the movie screening.

Or, if the user buys a train ticket or an airplane ticket, the time when the user reaches the destination, that is, the target location, will be recorded on the train ticket or the airplane ticket, and this time can be used as the predicted time to reach the target location.

Or, if the user frequently searches for information on a scenic spot before a holiday, it is inferred that the user is likely to visit the scenic spot during the holiday, and it is predicted that the user will arrive at the scenic spot during the holiday.

In addition, considering that the user generally records important things in the memo, the user's target location and the time when the user reaches the target location can also be determined according to the user memo information. For example, the user's memo information records information such as the time and place of the user's upcoming meeting or important appointment, the user's target location can be determined according to the location in the memo information, and the user's goal can be predicted according to the time in the memo information location time.

S240. Before the predicted time, push the positioning reference information within the range of the target location to the user client for storage, so as to instruct the client to perform positioning according to the positioning reference information.

The technical solution provided by this embodiment determines the target location of the user by using information of various dimensions, and predicts the time when the user arrives at the target location, and proactively sends the location basis information within the range of the target location to the client in advance and stores the information locally on the client. to store. When the client receives the positioning request from the user within the range of the target location, the positioning will be successful, which can solve the problem of the low success rate of offline positioning when the user is at the target location, that is, not near the permanent location, and meet the requirements of offline positioning when the user travels. need.

Embodiment three

Fig. 3 is a schematic structural diagram of a positioning device provided in Embodiment 3 of the present invention, and the device can be configured in a positioning server as a part of the positioning server. Referring to Figure 3, the device includes:

Arriving at the target location time prediction unit 310, configured to determine the target location of the user, and predict the time when the user arrives at the target location;

The positioning basis information pushing unit 320 is configured to push the positioning basis information within the range of the target location to the user client for storage before the predicted time, so as to instruct the client to perform positioning based on the positioning basis information. position.

Further, the arrival target location time prediction unit 310 includes:

Potential travel behavior information determination subunit 311, configured to determine that the user has potential travel behavior information based on user behavior information and/or user attribute information analysis;

A target location determining subunit 312, configured to determine the user's target location according to the behavior information with potential trips;

A target location time prediction subunit 313 is configured to predict the time when the user arrives at the target location.

Further, the user behavior information includes:

At least one of user subscription behavior information, consumption behavior information, and search behavior information.

Further, the arrival target location time prediction subunit 313 is specifically used for:

The time when the user arrives at the target location is predicted according to the time information associated with the behavior information with potential travel.

Further, the positioning basis information includes:

WIFI and/or base station fingerprint database information.

The above-mentioned device can execute the positioning method provided by any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method.

Note that the above are only preferred embodiments of the present invention and applied technical principles. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present invention, and the present invention The scope is determined by the scope of the appended claims.

Claims (6)

1. a kind of localization method, which is characterized in that including：

It determines ownership goal position, and predicts that user reaches the time of the target location；

Before the time predicted, the basis on location information within the scope of the target location is pushed into subscription client It is stored, to indicate that the client is positioned offline according to the basis on location information；

Wherein, the determining ownership goal position, and predict that user reaches the time of the target location, including：

Determine that user has the behavioural information of potential trip based on user behavior information and/or customer attribute information analysis；Wherein, The user behavior information, including：User subscribes in behavioural information, consumer behavior information and search behavior information at least A kind of information；

Ownership goal position is determined according to the behavioural information with potential trip；

Prediction user reaches the time of the target location.

2. according to the method described in claim 1, it is characterized in that, the prediction user reaches time of the target location, Including：

The target location is reached according to the associated temporal information prediction user of the behavioural information with potential trip Time.

3. according to the method described in claim 1, it is characterized in that, the basis on location information, including：

WIFI and/or base station fingerprint database information.

4. a kind of positioning device, which is characterized in that including：

Target location time prediction unit is reached, for determining ownership goal position, and predicts that user reaches the target location Time；

Basis on location information push unit, for before the time predicted, by determining within the scope of the target location Position pushes to subscription client and is stored according to information, with indicate the client according to the basis on location information carry out from Line positions；

Wherein, the arrival target location time prediction unit includes：

Potential travel behaviour information determination subelement, for being determined based on user behavior information and/or customer attribute information analysis User has the behavioural information of potential trip；Wherein, the user behavior information, including：User subscribes behavioural information, consumption row For at least one of information and search behavior information information；

Target location determination subelement, for determining ownership goal position according to the behavioural information with potential trip；

Target location time prediction subelement is reached, for predicting that user reaches the time of the target location.

5. device according to claim 4, which is characterized in that the arrival target location time prediction subelement, specifically For：

The target location is reached according to the associated temporal information prediction user of the behavioural information with potential trip Time.

6. device according to claim 4, which is characterized in that the basis on location information, including：

WIFI and/or base station fingerprint database information.