CN103634341A - Mobile terminal, cloud server and identification method of hot spots - Google Patents
Mobile terminal, cloud server and identification method of hot spots Download PDFInfo
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- CN103634341A CN103634341A CN201210300380.1A CN201210300380A CN103634341A CN 103634341 A CN103634341 A CN 103634341A CN 201210300380 A CN201210300380 A CN 201210300380A CN 103634341 A CN103634341 A CN 103634341A
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- hot spot
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- terminal data
- mobile terminal
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Abstract
Disclosed is a cloud server for receiving terminal data from a plurality of mobile terminals. The terminal data include position information, time information and a mobile terminal ID. The cloud server includes a wireless communication unit for receiving the terminal data, a storage unit for storing a digital electronic map and a statistical module for doing statistics of hot spots on the digital electronic map according to the terminal data. In addition, a mobile terminal and an identification method of hot spots are also provided.
Description
Technical field
The present invention relates to communication network technology, relate in particular to the recognition methods of a kind of mobile terminal, Cloud Server and hot spot.
Background technology
People are through some places, for example famous scenic spot and important event spot, and as, disaster spot, preferential activity venue etc. tend to take pictures and carry out record.Therefore, there are more people to take pictures and representing that this place is the hot spot meriting attention.But hot spot is not often by known to the people of process not.
Summary of the invention
In view of this, be necessary to provide in fact a kind of mobile terminal of identifying hot spot.
In addition, be also necessary to provide in fact the Cloud Server of a species hot spot.
In addition, be also necessary to provide in fact a kind of recognition methods of identifying the hot spot of hot spot.
A mobile terminal, for being connected with Cloud Server.Described mobile terminal comprises wireless communication unit, detecting unit, image unit, GPS unit and information generation unit, and described wireless communication unit is for being connected with Cloud Server; Described image unit is for photographic images; Whether described detecting unit is used for detecting described communication unit and is connected with Cloud Server, and whether described image unit makes a video recording; Described GPS unit is for obtaining the current positional information of mobile terminal and temporal information from gps satellite; When described detecting unit detects that described communication unit is connected with Cloud Server and described image unit takes the photograph image, described information generation unit is used for generating terminal data according to the ID of described positional information, temporal information and mobile terminal, and sends to Cloud Server to utilize position terminal data to count hot spot for Cloud Server terminal data by wireless communication unit.
A Cloud Server, it is for receiving the terminal data from some mobile terminals.Described terminal data comprises positional information, temporal information, mobile terminal ID.Described Cloud Server comprises wireless communication unit, memory cell and statistics module, and described wireless communication unit is for receiving terminal data; Described memory cell is used for storing Digital map.Described statistics module is for counting the hot spot on Digital map according to terminal data.
A hot spot recognition methods, it comprises the steps:
Digital map is provided;
Receive and store the some terminal datas that at least comprise positional information, temporal information, mobile terminal identity code (mobile terminal ID);
According to positional information and temporal information, count the hot spot on Digital map.
Known to upper, mobile terminal transmitting terminal data are to Cloud Server, and slm server can be added up and draw hot spot according to these terminal datas.User is as long as access Cloud Server can be known these hot spot.Therefore the people who, has not been these hot spot also can learn these hot spot.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of communication system.
Fig. 2 is the functional block diagram of mobile terminal.
Fig. 3 is the functional block diagram of Cloud Server.
Fig. 4 is the interface schematic diagram of cloud service.
Fig. 5 is the sub-function module figure of Cloud Server.
Fig. 6 is the recognition methods flow chart of hot spot.
Fig. 7-10 are the sub-process figure of hot spot recognition methods.
Main element symbol description
| |
100 |
| |
10 |
| Cloud |
20 |
| The first wireless communication unit | 11 |
| |
12 |
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13 |
| |
14 |
| Information generation unit | 15 |
| |
16 |
| |
17 |
| The second |
21 |
| |
22 |
| Selected |
23 |
| |
24 |
| |
25 |
| |
26 |
| |
27 |
| |
230 |
| |
231 |
| Icon | 2301、2302 |
| |
2310 |
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240 |
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241 |
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242 |
| |
243 |
| Hot spot recognition methods step | S601-S607 |
| Hot spot recognition methods sub-step | S701-S707、S801-S803、S901-S905、S101-S104 |
Following embodiment further illustrates the present invention in connection with above-mentioned accompanying drawing.
Embodiment
Please refer to Fig. 1, a kind of communication system 100 comprise some mobile terminals 10 and with some mobile terminals 10 by network and Cloud Server 20.Mobile terminal 10 can be mobile phone, PDA, panel computer etc.Network can be 3G network, GPRS network or the Internet.Each mobile terminal 10 has an identity code (mobile terminal ID), for example, and model, SIM card number etc.
Please refer to Fig. 2, mobile terminal 10 comprises the first wireless communication unit 11, detecting unit 12, image unit 13, GPS unit 14, information generation unit 15, input unit 16 and display unit 17.
The first wireless communication unit 11 is for connecting to communicate by letter with Cloud Server 20 with Cloud Server 20.
Whether detecting unit 12 connects with Cloud Server 20 for detecting the first wireless communication unit 11.When whether the first wireless communication unit 11 connects with Cloud Server 20, detecting unit 12 is also for detecting whether photographic images of image unit 13, and when detecting image unit 13 photographic images, produces enabled instruction.
14 these enabled instructions of response of GPS unit are for obtaining the current positional information of mobile terminal and temporal information from gps satellite.This temporal information is coordinated universal time (the UTC time).
Information generation unit 15 is for generating the terminal data that comprises positional information, temporal information, mobile terminal ID and send to Cloud Server 20 to add up hot spot (how Cloud Server 20 adds up hot spot will be described in detail below) for Cloud Server 20 by the first wireless communication unit 11 according to positional information, temporal information, mobile terminal ID.
Please refer to Fig. 3, Cloud Server 20 is for receiving terminal data, and counts hot spot according to terminal data.Cloud Server 20 comprises the second wireless communication unit 21, memory cell 22, selected cell 23, statistics module 24, mark unit 25, acquiring unit 26 and updating block 27.
The second wireless communication unit 21 is for receiving terminal data and the query statement from mobile terminal.
Please refer to Fig. 4, selected cell 23 is for providing two kinds of timing statistics requirements, and the first is: the difference between temporal information and current temporal information is in the first default timing statistics.The second is: on Digital map, represent in the terminal data in same place that the difference between temporal information is in the second timing statistics.Selected cell 23 also operates for responding user the time requirement of selecting a kind of default timing statistics to require conduct statistics.In addition, selected cell 23 is also set the first timing statistics and the second timing statistics for responding user's operational order.Particularly, selected cell 23 can provide a main interface 230 and a sub-interface 231.Main interface 230 comprises that two icons 2301 and 2302 that represent the first timing statistics requirement and the requirement of the second timing statistics activate to select the time requirement of statistics for user.After main interface 230 is activated, sub-interface 231 provides a dialog box 2310 for inputting the first timing statistics or the second timing statistics for user.When the first timing statistics requires to be selected, what sub-interface 231 was inputted is the first timing statistics.When the second timing statistics requires to be selected, what sub-interface 231 was inputted is the second timing statistics.
Please refer to Fig. 5, statistics module 24 meets for adding up respectively according to positional information and temporal information the corresponding mobile terminal ID quantity of positional information that default timing statistics required and represented on Digital map same place.Particularly, statistics module 24 comprises time recognition unit 240, location identification unit 241, counting unit 242 and judging unit 243.
Whether time recognition unit 240 meets default timing statistics requirement for recognition time information.
While requiring to be selected respectively with two kinds of default timing statisticses respectively below, the work of statistics module 24 each functional units.
When default timing statistics requires to require for the first timing statistics: time recognition unit 240 search and current time between the terminal data of difference in the first timing statistics of presetting.Location identification unit 241 is the place on Digital map for the positional information of identifying the terminal data finding, to identify the place, source of the terminal data finding.Counting unit 242 is respectively to representing that the corresponding mobile terminal ID of positional information in same place carries out statistical magnitude.Judging unit 243 reaches default quantity for judging whether statistical magnitude.When there being the quantity of statistics to reach default quantity, judging the corresponding place of Digital map is hot spot.Wherein, if the first timing statistics more in short-term, for example, in 1 hour, the hot spot of statistics is instant hot spot, user can go to check instant event according to hot spot.The very first time, when longer, for example more than 1 year, the hot spot of statistics was long-term hot spot, and user can go to understand the crowd's distribution situation so that excavate business opportunity according to hot spot.
When default timing statistics requires to require for the second timing statistics: location identification unit 241 represents for searching with the terminal data of current reception the terminal data that same place had previously received on Digital map.If do not find the terminal data of previous reception, counting unit 242 starts counting.If find the terminal data of previous reception, difference between the temporal information of the terminal data that time recognition unit 240 identification finds and the current temporal information that receives terminal data is in the second default timing statistics, if the difference between the temporal information of the terminal data finding and the current temporal information that receives terminal data is in the second default timing statistics, the counting unit 242 previous counting that continues is further counted.If the difference between the temporal information of the terminal data finding and the current temporal information that receives terminal data does not meet the second timing statistics requirement, counting unit 242 is counted again.The general setting of the second default timing statistics is shorter, is generally set in ten minutes above half an hour, increases the accuracy of statistics.Understandably, when the second timing statistics requires to be selected, generally can view instant hot spot.
Updating block 27 is for according to upgrading the mark on Digital map predetermined update time.For example, if while selecting the first timing statistics to require, default update time can be for identical with the first default timing statistics.If while selecting the second timing statistics to require, default update time can be for marking rear lasting certain hour.
Acquiring unit 26 also sends hot spot data mobile terminal 10 to or has the Digital map of hot spot to send to mobile terminal 10 mark from memory cell 22 for responding query statement.
Please refer to Fig. 6, it is the flow chart of hot spot recognition methods, and this hot spot recognition methods is carried out in Cloud Server.
Step S601, provides Digital map.
Step S602, sets predetermined timing statistics requirement.
Step S603, receives and stores the some terminal datas that comprise mobile terminal ID, positional information and temporal information.
Step S604, adds up respectively and meets the corresponding mobile terminal ID quantity of positional information that predetermined timing statistics required and represented on Digital map same place according to positional information and temporal information.
Whether step S605, have statistical magnitude to reach default quantity.
Step S606 if there is statistical magnitude to reach default quantity, marks on the corresponding place of Digital map.
Step S607, according to upgrading the mark on Digital map predetermined update time.
Please refer to Fig. 7, wherein, some terminal datas have some mobile terminals to produce.Particularly, each mobile terminal generation terminal data comprises the steps:
Step S701, provides mobile terminal ID.
Step S702, judges whether to be connected with Cloud Server.
Step S703, if be connected with Cloud Server, judges whether photographic images.
Step S704, if photographic images obtains current positional information and temporal information.Image can be dynamic image or still image.
Step S705, generates and comprises mobile terminal ID, the terminal data of positional information and temporal information.
Step S706, transmitting terminal data are to cloud server.
Please refer to Fig. 8, it is performing step S604 the first execution mode.The method of performing step S604 comprises the steps:
Step S801, according to temporal information search and current time between the terminal data of difference in the first default timing statistics.
Step S802, the place of the positional information of the terminal data that identification finds on Digital map, to identify the place, source of the terminal data finding.
Step S803, respectively to representing that the corresponding mobile terminal ID of positional information in same place carries out statistical magnitude.
Please refer to Fig. 9, it is performing step S604 the second execution mode.The method of performing step S604 comprises the steps:
Step S901, searches the terminal data that represents the previous reception in same place with current terminal data on Digital map according to the positional information of the terminal data of current reception.
Step S902, judges whether to find corresponding terminal data.
Step S903, does not find corresponding terminal data, starts counting.
Step S904, in the terminal data that judges current reception according to temporal information and the corresponding terminal data previously having received, whether time difference is in the second default timing statistics section.
Step S905, if time difference, not in the second default timing statistics section, is counted again in the terminal data of current reception and the corresponding terminal data previously having received.
Step S906, if time difference is in the second default timing statistics section in the terminal data of current reception and the corresponding terminal data previously having received, the counting of the Leading End data that continue.
Please refer to Figure 10, it is the execution mode of performing step S607.
Step S101, judges whether that the label time of the position of mark reaches default update time.
Step S102, if the label time of the position of mark reaches default update time, whether the statistical magnitude of the corresponding corresponding mobile terminal ID of labeling position reaches default quantity.
Step S103, if the statistical magnitude of the corresponding corresponding mobile terminal ID of labeling position does not reach default quantity, deletes mark accordingly.
Step S104, if the statistical magnitude of the corresponding corresponding mobile terminal ID of labeling position is the quantity that reaches default, renewal label time is current time.
The other method of above-mentioned mobile terminal 10, Cloud Server 20 and hot spot can count same place, position mobile terminal ID quantity in timing statistics according to positional information and temporal information, can count photographic images person-time, thereby by person-time number determine that corresponding place is hot spot, can be through the people of these hot spot, can not learn these hot spot yet.In addition, user can arrange timing statistics as required, can understand instant hot spot, is conducive to the critical event that people go to excavate recent generation.Meanwhile, can count long-term hot spot again, be conducive to the distribution situation that people understand the common crowd, excavate business opportunity.
Claims (10)
1. a mobile terminal, for being connected with Cloud Server, is characterized in that: described mobile terminal comprises wireless communication unit, detecting unit, image unit, GPS unit and information generation unit, and described wireless communication unit is for being connected with Cloud Server; Described image unit is for photographic images; Whether described detecting unit is used for detecting described communication unit and is connected with Cloud Server, and whether described image unit makes a video recording; Described GPS unit is for obtaining the current positional information of mobile terminal and temporal information from gps satellite; When described detecting unit detects that described communication unit is connected with Cloud Server and described image unit takes the photograph image, described information generation unit generates terminal data according to the ID of described positional information, temporal information and mobile terminal, and sends to Cloud Server to utilize position terminal data to count hot spot for Cloud Server terminal data by wireless communication unit.
2. a Cloud Server, it is for receiving the terminal data from some mobile terminals, it is characterized in that: described terminal data comprises positional information, temporal information, mobile terminal ID, described Cloud Server comprises wireless communication unit, memory cell and statistics module, and described wireless communication unit is for receiving terminal data; Described memory cell is used for storing Digital map; Described statistics module is for counting the hot spot on Digital map according to terminal data.
3. Cloud Server as claimed in claim 2, it is characterized in that: described statistics module meets for adding up the quantity of mobile terminal ID that default timing statistics required and represented on Digital map the terminal data in same place, and judged whether that statistical magnitude reaches predetermined number, and when having statistical magnitude to reach default quantity, confirm that the corresponding place of mobile terminal ID that statistical magnitude reaches predetermined number is hot spot.
4. Cloud Server as claimed in claim 3, it is characterized in that: described Cloud Server also comprises selected cell, described selected cell is used for providing some Preset Time requirements to select for user, and described some Preset Times require to comprise difference between temporal information and current temporal information in the first default timing statistics and on Digital map, represent in the terminal data in same place that the difference between temporal information is in the second timing statistics of presetting.
5. Cloud Server as claimed in claim 2, is characterized in that: described Cloud Server also comprises mark unit, and described mark unit marks in the hot spot on Digital map.
6. a hot spot recognition methods, it comprises the steps:
Digital map is provided;
Receive and store the some terminal datas that at least comprise positional information, temporal information, mobile terminal ID;
According to positional information and temporal information, count the hot spot on Digital map.
7. hot spot recognition methods as claimed in claim 6, is characterized in that: the step that counts the hot spot on Digital map according to positional information and temporal information comprises the steps:
According to positional information and temporal information, add up respectively and meet the mobile terminal ID quantity that default timing statistics required and represented on Digital map the terminal data in same place;
Judged whether that statistical magnitude reaches predetermined number, and to judge terminal data corresponding place on Digital map that statistical magnitude reaches with predetermined number be hot spot.
8. hot spot recognition methods as claimed in claim 7, is characterized in that: described hot spot recognition methods also comprises the steps:
Provide two kinds of default timing statisticses to require to select for user, described two default timing statisticses require to comprise difference between temporal information and current temporal information in the first default timing statistics and on Digital map, represent in the terminal data in same place that the difference between temporal information is in the second timing statistics of presetting;
Select wherein a kind of default timing statistics requirement.
9. hot spot recognition methods as claimed in claim 8, is characterized in that: described the first timing statistics and described the second timing statistics can arrange according to demand for user.
10. hot spot recognition methods as claimed in claim 6, is characterized in that: described hot spot recognition methods also comprises the steps:
In hot spot on Digital map, mark.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201210300380.1A CN103634341A (en) | 2012-08-22 | 2012-08-22 | Mobile terminal, cloud server and identification method of hot spots |
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| CN201210300380.1A CN103634341A (en) | 2012-08-22 | 2012-08-22 | Mobile terminal, cloud server and identification method of hot spots |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106126657A (en) * | 2016-03-23 | 2016-11-16 | 四川长虹电器股份有限公司 | A kind of recommendation is taken a picture the method in place and mobile electronic terminal |
| CN106323266A (en) * | 2015-06-15 | 2017-01-11 | 北京四维图新科技股份有限公司 | POI position information processing method and device |
| CN107066565A (en) * | 2017-04-01 | 2017-08-18 | 上海诺悦智能科技有限公司 | A kind of tourist hot spot forecasting system |
-
2012
- 2012-08-22 CN CN201210300380.1A patent/CN103634341A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106323266A (en) * | 2015-06-15 | 2017-01-11 | 北京四维图新科技股份有限公司 | POI position information processing method and device |
| CN106323266B (en) * | 2015-06-15 | 2020-03-06 | 北京四维图新科技股份有限公司 | Method and device for processing information of interest point |
| CN106126657A (en) * | 2016-03-23 | 2016-11-16 | 四川长虹电器股份有限公司 | A kind of recommendation is taken a picture the method in place and mobile electronic terminal |
| CN107066565A (en) * | 2017-04-01 | 2017-08-18 | 上海诺悦智能科技有限公司 | A kind of tourist hot spot forecasting system |
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Application publication date: 20140312 |