CN106789583B - Intelligent social contact method and system based on WiFi-Aware - Google Patents

Intelligent social contact method and system based on WiFi-Aware Download PDF

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Publication number
CN106789583B
CN106789583B CN201611216647.3A CN201611216647A CN106789583B CN 106789583 B CN106789583 B CN 106789583B CN 201611216647 A CN201611216647 A CN 201611216647A CN 106789583 B CN106789583 B CN 106789583B
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wifi
mobile terminal
service data
mobile terminals
aware
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CN106789583A (en
Inventor
吴兆云
王慧鑫
廖胜朋
叶锌尧
胡亚军
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Huizhou TCL Mobile Communication Co Ltd
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Huizhou TCL Mobile Communication Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00Arrangements for user-to-user messaging in packet-switching networks, e.g. e-mail or instant messages
    • H04L51/14Arrangements for user-to-user messaging in packet-switching networks, e.g. e-mail or instant messages with selective forwarding
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00Arrangements for user-to-user messaging in packet-switching networks, e.g. e-mail or instant messages
    • H04L51/32Messaging within social networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/06Selective distribution of broadcast services, e.g. multimedia broadcast multicast service [MBMS]; Services to user groups; One-way selective calling services
    • H04W4/08User group management
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/12Messaging; Mailboxes; Announcements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/80Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

The invention provides an intelligent social contact method and system based on WiFi-Aware, wherein the method comprises the following steps: receiving an instruction of a user to start a WiFi-Aware function of a current mobile terminal, and establishing a connection group with other mobile terminals which start the WiFi-Aware function in the same area; the current mobile terminal receives the service data broadcasted by other mobile terminals in the connection group, and analyzes and stores the received service data; sequencing the analyzed service data according to the specified indexes to corresponding other mobile terminal users; the current mobile terminal receives the input communication information and sends the input communication information to other mobile terminals. The method can help the user with poor social ability to communicate with the interested strange object in the public place through the social application, avoids the embarrassment that the communication is refused on the spot, and is beneficial to the expansion of the user's communication circle.

Description

Intelligent social contact method and system based on WiFi-Aware
Technical Field
The invention relates to the field of intelligent communication, in particular to an intelligent social method and system based on WiFi-Aware.
Background
With the development of communication technology, mobile terminals gradually become a main medium for people-to-people communication, and meanwhile, more and more people are used to express life experiences, human comprehension, emotional problems and the like through social software. Particularly, people with insufficient social ability can hardly realize the active communication process with strangers in public places, which inevitably leads to further reduction of the communication circle. However, the current intelligent social method cannot establish a connection between strangers in a specific range without using network connection, cannot chat and communicate with strangers in the specific range through a mobile terminal, cannot help people avoid embarrassment when active communication in public places is refused, and cannot help people with insufficient social ability to widen the social circle.
Accordingly, the prior art is yet to be improved and developed.
Disclosure of Invention
In view of the defects of the prior art, the invention aims to provide an intelligent social method and system based on WiFi-Aware, and aims to solve the problems that the existing intelligent social method cannot help people avoid embarrassment when active communication in public places is refused and cannot help people with insufficient social ability to widen the social circle without using network connection.
The technical scheme of the invention is as follows:
a WiFi-Aware based intelligent social method comprises the following steps:
step A, receiving an instruction of a user to start a WiFi-Aware function of a current mobile terminal, and establishing a connection group with other mobile terminals which start the WiFi-Aware function in the same area;
b, the current mobile terminal receives the service data broadcasted by other mobile terminals in the connection group, and analyzes and stores the received service data;
c, sequencing the analyzed service data according to the specified indexes to corresponding other mobile terminal users;
and D, the current mobile terminal receives the input communication information and sends the communication information to other mobile terminals.
The WiFi-Aware-based intelligent social method comprises the following steps of:
b1, analyzing the service data;
b2, querying a database;
and B3, matching and screening the analyzed service data and the database according to the screening conditions, and eliminating the service data which do not meet the screening conditions.
The WiFi-Aware-based intelligent social method comprises the step C of sequencing corresponding other mobile terminal users according to relative distance, gender or age.
The WiFi-Aware-based intelligent social method comprises the following specific steps of calculating the relative distance in the step C:
c1, judging whether the service data carries RTT time information, if yes, entering a step C2, otherwise, entering a step C3;
c2, calculating the relative distance between the current mobile terminal and other mobile terminals according to the RTT time information;
and C3, acquiring the Rssi signal intensity values of other mobile terminals, and calculating the relative distance between the current mobile terminal and other mobile terminals according to the Rssi signal intensity values.
The WiFi-Aware-based intelligent social method comprises the following steps:
d1, judging whether the size of the communication information exceeds a preset threshold value, if so, entering a step D2, and if not, turning to a step D3;
d2, controlling the current mobile terminal to establish WiFi Direct connection with other mobile terminals, then establishing Socket connection, and sending the alternating current information to other mobile terminals in a Socket mode;
d3, and sending the communication information to other mobile terminals through the WiFi-Aware function.
A WiFi-Aware based intelligent social system comprising:
the connection module is used for receiving an instruction of a user to start the WiFi-Aware function of the current mobile terminal and establishing a connection group with other mobile terminals which start the WiFi-Aware function in the same area;
the analysis module is used for receiving the service data broadcasted by other mobile terminals in the connection group by the current mobile terminal, and analyzing and storing the received service data;
the ordering module is used for ordering the analyzed service data to corresponding other mobile terminal users according to the specified indexes;
and the communication module is used for receiving the input communication information by the current mobile terminal and sending the input communication information to other mobile terminals.
The intelligent social system based on WiFi-Aware comprises an analysis module and a control module, wherein the analysis module specifically comprises:
the analysis unit is used for analyzing the service data;
the query unit is used for querying the database;
and the screening unit is used for matching and screening the analyzed service data and the database according to the screening conditions and rejecting the service data which does not accord with the screening conditions.
The intelligent social system based on WiFi-Aware is characterized in that the corresponding other mobile terminal users are ranked according to relative distance, gender or age in the ranking module.
The WiFi-Aware based intelligent social contact system comprises the sequencing module and a social contact module, wherein the sequencing module comprises:
the time information judging unit is used for judging whether the service data carries RTT time information or not, if so, the first execution unit is started, and otherwise, the second execution unit is started;
the first execution unit is used for calculating the relative distance between the current mobile terminal and other mobile terminals according to the RTT time information;
and the second execution unit is used for acquiring the Rssi signal intensity value of other mobile terminals and calculating the relative distance between the current mobile terminal and other mobile terminals according to the Rssi signal intensity value.
The intelligent social system based on WiFi-Aware comprises a communication module and a communication module, wherein the communication module specifically comprises:
the information size judging unit is used for judging whether the size of the alternating information exceeds a preset threshold value, starting the first connecting unit if the size of the alternating information exceeds the preset threshold value, and starting the second connecting unit if the size of the alternating information does not exceed the preset threshold value;
the first connection unit is used for controlling the current mobile terminal to establish WiFi Direct connection with other mobile terminals, then establishing Socket connection, and sending the alternating information to other mobile terminals in a Socket mode;
and the second connection unit is used for sending the communication information to other mobile terminals through the WiFi-Aware function.
Has the advantages that: the invention discloses an intelligent social method and system based on WiFi-Aware, which are characterized in that a user connection group in the same area range is established through a WiFi-Aware function, service information broadcasted by members in the group is analyzed, users screened out according to specified indexes are sequenced and communicated, and users with poor social ability can communicate with interested strange objects in public places through a good social software mode without using network connection, so that the embarrassment that the communication is refused on the spot is avoided, and the expansion of the user's social circle is facilitated.
Drawings
FIG. 1 is a flowchart of a preferred embodiment of the intelligent social method based on WiFi-Aware of the present invention.
FIG. 2 is a flowchart illustrating a preferred embodiment of step S2 of the method shown in FIG. 1.
FIG. 3 is a flowchart illustrating a preferred embodiment of step S3 of the method shown in FIG. 1.
FIG. 4 is a flowchart illustrating a preferred embodiment of step S4 of the method shown in FIG. 1.
FIG. 5 is a block diagram of the structure of a preferred embodiment of the intelligent social system based on WiFi-Aware.
FIG. 6 is a block diagram of a preferred embodiment of a parsing module in the system of FIG. 5.
FIG. 7 is a block diagram of a preferred embodiment of the sorting module of the system of FIG. 5.
FIG. 8 is a block diagram of a preferred embodiment of the AC module of the system of FIG. 5.
Detailed Description
The invention provides an intelligent social contact method and system based on WiFi-Aware, and the invention is further described in detail below in order to make the purpose, technical scheme and effect of the invention clearer and more clear and definite. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
FIG. 1 is a flowchart of a preferred embodiment of the intelligent social method based on WiFi-Aware, as shown in the figure, it includes the steps:
s1, receiving an instruction of a user to start the WiFi-Aware function of the current mobile terminal, and establishing a connection group with other mobile terminals which start the WiFi-Aware function in the same area;
s2, the current mobile terminal receives the service data broadcasted by other mobile terminals in the connection group, and analyzes and stores the received service data;
s3, sequencing the analyzed service data according to the designated index to corresponding other mobile terminal users;
and S4, the current mobile terminal receives the input communication information and sends the communication information to other mobile terminals.
In this embodiment, a user can establish a connection group with other mobile terminals in the same area, which activate the WiFi-Aware function of the current mobile terminal, receive and send broadcast service data in the group, analyze and store the received service data, then screen the received service data according to a specified standard, and can communicate with the screened object through social application. The method can help users with poor social ability to find interested objects in public places such as bars, coffee houses and buses, and communicate with the users through social application without using network connection, so that the social enthusiasm of the users can be increased, the embarrassment that the communication is refused in the same place can be avoided, and the improvement of the social enthusiasm and the expansion of the social circle of the users are facilitated.
In step S1, the user downloads social application software (i.e. application software for implementing the method of the present invention, but certainly, the function of the present invention may also be applied to other social software) to the mobile terminal in advance, and when the user comes to a public place such as a bar, a cafe, a bus, etc., the user clicks to open the social application and performs data initialization. After receiving a user instruction, the mobile terminal starts the WiFi-Aware function of the current mobile terminal and establishes a connection group with other mobile terminals which start the WiFi-Aware function in the same area; and the mobile terminal detects nearby WiFi Aware equipment according to a WiFi Aware protocol of a chip manufacturer and establishes a corresponding physical connection group with the WiFi Aware equipment. Since the WiFi-Aware function is suitable for close-range social contact based on the geographic position, the same area needs to be further determined, wherein the same area refers to a circular area with the radius of 30-45 meters or a square area with the side length of 30-45 meters and the position of the current mobile terminal is taken as the center of a circle. The range can ensure the effective realization of the WiFi-Aware function and obtain stable application service. Therefore, the WiFi-Aware function can establish the mutual connection relation of users in the same area under the condition of not using a network, provides a firm social platform for the users in the area, and is beneficial to the expansion of the user social circle.
As a preferred embodiment, as shown in fig. 2, the step S2 includes:
s21, analyzing the service data;
s22, querying a database;
and S23, matching and screening the analyzed service data and the database according to the screening conditions, and eliminating the service data which do not accord with the screening conditions.
In step S2, the mobile terminal broadcasts the service data to other mobile terminals in the same area through a broadcast interface (Publish interface) of the WiFi-Aware function, and receives the service data broadcast by other mobile terminal users through the Publish interface through a monitoring interface (Subscribe interface). The service data is non-sensitive information, and may include personal information such as user gender, occupation, age, and the like, and may also include service information of devices such as device model, protocol type, and the like, but is not limited to the above information.
When the user receives the service data, the service data is analyzed and stored. The analysis process comprises the steps of firstly analyzing the acquired service data and classifying the service data; and then, performing database query, wherein the database mainly stores the service data, the relative distance, the equipment address, the P2P connection information and the like. On one hand, if the user corresponding to the acquired service data is matched with the blacklist information in the database, the service data is removed and is not used as an object for further screening, and the blacklist refers to the situation that the user marks the user of one or some other mobile terminals as a blacklist and uploads the blacklist to the database so as to avoid being disturbed by the user. On the other hand, the acquired service data is inquired, and if a certain device (namely the mobile terminal device corresponding to the acquired service data) is a new device which is not recorded in the database, a record entry of the new device is added in the database; and if the certain equipment is the equipment with records in the database, updating the record entry of the equipment. The acquired service data is analyzed and classified and the database is queried, so that unnecessary data can be removed in advance, the storage space of the equipment can be effectively saved, and the running speed of the equipment is accelerated; the latest state of the equipment user can be obtained by updating the equipment record information, the accuracy of the obtained service data is improved, the user can find interested objects in the largest range conveniently, and communication is further developed.
As a more preferred embodiment, as shown in fig. 3, the step S3 includes:
s31, judging whether the service data carries RTT time information, if yes, entering a step S32, otherwise, turning to a step S33;
s32, calculating the relative distance between the current mobile terminal and other mobile terminals according to the RTT time information;
and S33, acquiring the Rssi signal intensity values of other mobile terminals, and calculating the relative distance between the current mobile terminal and other mobile terminals according to the Rssi signal intensity values.
In step S3, the mobile terminal ranks the acquired other mobile terminal users. The index of the ranking may be a relative distance between the current mobile terminal and other mobile terminals, or an age sequence of other mobile terminal users, such as users with ages ranging from small to large, from large to small, and from ages within a certain range, such as users between 20-35 years old ranked from small to large or from large to small, or ranked according to the genders of other mobile terminal users. In addition, the sorted index may also be a combination of multiple indexes, for example, by using the restriction of two indexes, namely distance and gender, and using gender as the first screening condition, the female users in the range are screened out first; sorting the relative distances between the mobile terminals of the female users screened by the first screening condition and the current mobile terminal by taking the distances as second screening conditions; sorting by adopting three indexes of gender, age and distance, and sorting the relative distance between the mobile terminal of the female user screened by the first screening condition and the current mobile terminal by taking the gender as the first screening condition, namely screening the female user in the range, and sorting the relative distance between the mobile terminal of the female user screened by the first screening condition and the current mobile terminal by taking the distance as the second screening condition; and taking the age as a third screening condition, arranging the users screened by the first screening condition and the second screening condition according to the sequence of the ages from 25 to 30, and simultaneously removing the users which do not meet the conditions. When a plurality of indexes of the user are inconsistent in the sorting process, the screening indexes ranked in the front are used as priority indexes, namely the priority of the first screening condition is greater than the priority of the second screening condition is greater than the priority of the third screening condition. For example, in the above three criteria screening process, there are two female users, user 1 is 19m away and 26 years old, and user 2 is 20m away and 25 years old, then user 1 is ranked in front of user 2 on the final UI interface according to the above principles. The method has the advantages that the sequencing by adopting a plurality of standards is beneficial to accurate screening of the user within limited time, interested objects can be found quickly, and the social efficiency is improved.
In the process, the distance information is determined by carrying corresponding protocol time information by the mobile terminal. If the mobile terminal carries the 802.11mc protocol time information, the distance between the two devices is calculated according to the RTT time of the protocol. RTT time = current time — the echo time of the timestamp option in the packet, which is the time when a certain packet is sent out, and a measured value of RTT time can be obtained by knowing the receiving time (current time) and the sending time (echo time) of the packet. The distance calculation mode through the RTT time is realized by a chip manufacturer of the mobile terminal, and is obtained by calling a corresponding interface through application. And if the mobile terminal does not carry the RTT time information, reading the Rssi signal intensity value of the equipment, and calculating the relative distance between the current mobile terminal and other mobile terminals according to the Rssi signal intensity value. The process mainly adopts a public model formula d =10^ ((ABS (RSSI) -A)/(10 x n)) of WiFi transmission to calculate the distance, wherein parameters A and n need to be calculated according to sampling. The application of the mobile terminal can store experience values of chips of different platforms, such as chips of high-pass, Mac-Tong, MTK and the like, in the mobile terminal such as a mobile phone and the like, and simultaneously read the chip type of the terminal, and different platform chips obtain different parameter values. If the parameter values matching the terminal device type cannot be found in the application store, default empirical parameter values are used. When calculating the corresponding parameter value, the value is taken for a plurality of times according to the actual situation, the number of times of taking the value can be set by the user (such as 5, 6, 10, etc.), or the default value can be written (such as 5 times), firstly, the highest value and the lowest value obtained by the model are removed, and then, the corresponding value is obtained by averaging. The method has the advantages that the pertinence for obtaining the distance information by adopting different point algorithms is stronger, the reliability of data is high, and errors caused by adopting a single method for calculation are avoided. In addition, the method of measuring for many times, removing the maximum value and the minimum value and averaging the rest data can effectively avoid calculation errors and improve the reliability of calculation results.
As a more preferred embodiment, as shown in fig. 4, the step S4 specifically includes:
s41, judging whether the size of the communication information exceeds a preset threshold value, if so, entering the step S42, and if not, turning to the step S43;
s42, controlling the current mobile terminal to establish WiFi Direct connection with other mobile terminals, then establishing Socket connection, and sending the alternating current information to other mobile terminals in a Socket mode;
and S43, sending the communication information to other mobile terminals through the WiFi-Aware function.
In step S4, when the user receives the information sent by the other mobile terminal, it is first determined whether a reply to the content is required. If the communication is to be ended, the communication can be realized by closing the chat interface; if the user deems it necessary to block the chat content, a filtering function in the application can be started to filter out the user (including adding the user to a blacklist), and the information of the user can be stored in the database, and meanwhile, the information of the user in the database can be updated. When the message sent by the equipment is received again, the application can automatically start the filtering function to avoid being disturbed again. And if the information is replied, the user establishes different types of connection according to the size of the communication information and sends the information to other mobile terminals. When the size of the communication information exceeds a preset threshold value, the current mobile terminal establishes WiFi Direct connection with other mobile terminals, then establishes Socket connection, and then sends the communication information to other mobile terminals in a Socket mode; and when the size of the communication information does not exceed the preset threshold value, the communication information is sent to other mobile terminals through the WiFi-Aware function.
The size of the threshold can be default by a system, or can be set by a user according to the condition of the mobile terminal, for example, the threshold is 256kb, 512kb, 2048kb, etc. According to the small memory capacity of the mobile terminal and the data transmission speed, the corresponding threshold value is determined, the data transmitted by the user can be ensured to quickly reach the other side, and the communication process is efficiently and smoothly carried out. In addition, two ip acquisition modes are available for Socket connection, one mode is to acquire ip addresses of other mobile terminals through WiFi-Aware transmission; another method is to call an ARP (address resolution protocol) mode of the current mobile terminal to obtain the ip address of the mobile terminal. In the invention, one method is not limited, namely, a more convenient mode is selected to obtain the ip address according to the actual condition of the mobile terminal, so that the mobile terminal is ensured to have higher running speed.
Based on the above method, the present invention further provides a preferred embodiment of the intelligent social system based on WiFi-Aware, as shown in fig. 5, which includes:
the connection module 100 is configured to receive an instruction of a user to start a WiFi-Aware function of a current mobile terminal, and establish a connection group with other mobile terminals that start the WiFi-Aware function in the same area;
the analysis module 200 is used for the current mobile terminal to receive the service data broadcasted by other mobile terminals in the connection group, and analyze and store the received service data;
a sorting module 300, configured to sort corresponding other mobile terminal users according to the specified index on the parsed service data;
and the communication module 400 is used for receiving the input communication information and sending the communication information to other mobile terminals by the current mobile terminal.
Further, as shown in fig. 6, the parsing module 200 specifically includes:
a parsing unit 210 for parsing the service data;
a query unit 220, configured to query a database;
and the screening unit 230 is configured to perform matching screening on the analyzed service data and the database according to the screening condition, and reject service data that does not meet the screening condition.
Still further, as shown in fig. 7, the sorting module 300 specifically includes:
a time information determining unit 310, configured to determine whether the service data carries RTT time information, if so, start the first executing unit, otherwise, start the second executing unit;
a first executing unit 320, configured to calculate a relative distance between the current mobile terminal and another mobile terminal according to the RTT time information;
the second executing unit 330 is configured to obtain a Rssi signal strength value of another mobile terminal, and calculate a relative distance between the current mobile terminal and the another mobile terminal according to the Rssi signal strength value.
Further, as shown in fig. 8, the ac module 400 specifically includes:
the information size judging unit 410 is used for judging whether the size of the communication information exceeds a preset threshold value, if so, starting the first connecting unit, and if not, starting the second connecting unit;
the first connection unit 420 is configured to control the current mobile terminal to establish a WiFi Direct connection with other mobile terminals, then establish a Socket connection, and send the communication information to other mobile terminals in a Socket manner;
and a second connection unit 430, configured to send the communication information to other mobile terminals through the WiFi-Aware function.
Preferably, the parsing unit 210 queries the obtained user service data broadcasted by other mobile terminals in the database through the querying unit 220, matches the obtained service data with the database data according to the screening condition, and eliminates the service data that does not meet the condition. Then, the time information determining unit 310 determines, according to whether the user carries RTT time information, to sort the mobile terminals corresponding to the screened data according to the RTT time information and the Rssi signal strength value of other mobile terminals, respectively. Finally, when the user communicates with the screened users of other mobile terminals, the judgment is carried out through the information size judging unit 410, if the sending information exceeds a preset threshold (if the threshold is 2048 kb), the communication information is sent to other mobile terminals through the WiFi-Aware function; and if the sent information does not exceed the preset threshold value, establishing WiFi Direct connection, then establishing Socket connection, and sending the communication information to other mobile terminals in a Socket mode. The technical details of the above module units are described in detail in the foregoing method, and are not described herein again.
In summary, the invention provides an intelligent social method and system based on WiFi-Aware, where a mobile terminal broadcasts and receives service data broadcasted by other users in a connection group established by a WiFi-Aware function, sorts other mobile terminals corresponding to the analyzed service data according to a specified standard, and finally communicates with users of the other mobile terminals, so as to achieve the purpose of communicating with interested objects in public places through a social application mode, effectively avoid embarrassment that communication is refused on the spot, increase social enthusiasm of users, and facilitate expansion of their social circles.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.

Claims (8)

1. An intelligent social method based on WiFi-Aware is characterized by comprising the following steps:
step A, receiving an instruction of a user to start a WiFi-Aware function of a current mobile terminal, and establishing a connection group with other mobile terminals which start the WiFi-Aware function in the same area;
b, the current mobile terminal receives the service data broadcasted by other mobile terminals in the connection group, and analyzes and stores the received service data;
c, sequencing the analyzed service data according to the specified indexes to corresponding other mobile terminal users;
step D, the current mobile terminal receives the input communication information and sends the input communication information to other mobile terminals;
the step D specifically comprises the following steps:
d1, judging whether the size of the communication information exceeds a preset threshold value, if so, entering a step D2, and if not, turning to a step D3;
d2, controlling the current mobile terminal to establish WiFi Direct connection with other mobile terminals, then establishing socket connection, and sending the alternating current information to other mobile terminals in a socket mode;
d3, sending the communication information to other mobile terminals through the WiFi-Aware function;
wherein the threshold comprises a system default or a user setting.
2. The WiFi-Aware-based intelligent social method according to claim 1, wherein the parsing process of the service data in the step B comprises the following steps:
b1, analyzing the service data;
b2, querying a database;
and B3, matching and screening the analyzed service data and the database according to the screening conditions, and eliminating the service data which do not meet the screening conditions.
3. The WiFi-Aware based intelligent social method according to claim 1, wherein in the step C, the corresponding other mobile terminal users are ranked by relative distance, gender or age.
4. The WiFi-Aware-based intelligent social method as claimed in claim 1, wherein in the step C, the step of calculating the relative distance specifically comprises the steps of:
c1, judging whether the service data carries RTT time information, if yes, entering a step C2, otherwise, entering a step C3;
c2, calculating the relative distance between the current mobile terminal and other mobile terminals according to the RTT time information;
and C3, acquiring the Rssi signal intensity values of other mobile terminals, and calculating the relative distance between the current mobile terminal and other mobile terminals according to the Rssi signal intensity values.
5. An intelligent social system based on WiFi-Aware, comprising:
the connection module is used for receiving an instruction of a user to start the WiFi-Aware function of the current mobile terminal and establishing a connection group with other mobile terminals which start the WiFi-Aware function in the same area;
the analysis module is used for receiving the service data broadcasted by other mobile terminals in the connection group by the current mobile terminal, and analyzing and storing the received service data;
the ordering module is used for ordering the analyzed service data to corresponding other mobile terminal users according to the specified indexes;
and the communication module is used for receiving the input communication information by the current mobile terminal and sending the input communication information to other mobile terminals.
6. The WiFi-Aware based intelligent social system as claimed in claim 5, wherein the parsing module specifically comprises:
the analysis unit is used for analyzing the service data;
the query unit is used for querying the database;
the screening unit is used for matching and screening the analyzed service data and the database according to the screening conditions and eliminating the service number which does not accord with the screening conditions;
the communication module specifically comprises:
the information size judging unit is used for judging whether the size of the alternating information exceeds a preset threshold value, starting the first connecting unit if the size of the alternating information exceeds the preset threshold value, and starting the second connecting unit if the size of the alternating information does not exceed the preset threshold value;
the first connection unit is used for controlling the current mobile terminal to establish WiFi Direct connection with other mobile terminals, then establishing socket connection, and then sending the alternating current information to other mobile terminals in a socket mode;
the second connection unit is used for sending the communication information to other mobile terminals through the WiFi-Aware function;
wherein the threshold comprises a system default or a user setting.
7. The WiFi-Aware based intelligent social system according to claim 5 wherein the ranking module ranks the respective other mobile terminal users by relative distance, gender or age.
8. The WiFi-Aware based intelligent social system of claim 5, wherein the ranking module comprises:
the time information judging unit is used for judging whether the service data carries RTT time information or not, if so, the first execution unit is started, and otherwise, the second execution unit is started;
the first execution unit is used for calculating the relative distance between the current mobile terminal and other mobile terminals according to the RTT time information;
and the second execution unit is used for acquiring the Rssi signal intensity value of other mobile terminals and calculating the relative distance between the current mobile terminal and other mobile terminals according to the Rssi signal intensity value.
CN201611216647.3A 2016-12-26 2016-12-26 Intelligent social contact method and system based on WiFi-Aware Active CN106789583B (en)

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