CN104457743B - A kind of footprint processing method of Intelligent worn device - Google Patents
A kind of footprint processing method of Intelligent worn device Download PDFInfo
- Publication number
- CN104457743B CN104457743B CN201410780537.4A CN201410780537A CN104457743B CN 104457743 B CN104457743 B CN 104457743B CN 201410780537 A CN201410780537 A CN 201410780537A CN 104457743 B CN104457743 B CN 104457743B
- Authority
- CN
- China
- Prior art keywords
- footprint
- poi
- coverage
- distance
- less
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
- G01S19/14—Receivers specially adapted for specific applications
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Computer Networks & Wireless Communication (AREA)
- Navigation (AREA)
- Position Fixing By Use Of Radio Waves (AREA)
Abstract
The present invention provides a kind of footprint processing method of Intelligent worn device, including：Step S1, base station information, WiFi information and the GPS information gathered according to Intelligent worn device, point of interest POI is obtained by map interface；Step S2, the POI of acquisition is stored into POI lists；Step S3, the POI in the POI lists handle corresponding footprint.The strategy of the present invention in a straightforward manner, intelligent is handled footprint, effectively increases the Consumer's Experience and applicability of Intelligent worn device.
Description
Technical field
The present invention relates to the footprint processing method of Intelligent worn device, more particularly to a kind of Intelligent worn device.
Background technology
Under the background that current Intelligent worn device flourishes, by GPS（Global Position System, the whole world
Alignment system）Technology is combined gradually into trend with Intelligent worn device.Not only can be in Intelligent worn device in fact using GPS
Existing traditional positioning, navigation, moreover it is possible to produce many new applications, footprint is exactly one of them.Footprint refers to user on some ground
Point stays for some time and a caused record, including time, longitude and latitude, POI（Point Of Interest, point of interest）
Information.By the footprint generated in Intelligent worn device, user can be clearly recalled with analyzing the track oneself stopped.So
And at present in Intelligent worn device field, also without the very effective processing scheme for footprint.
The content of the invention
The technical problems to be solved by the invention are, there is provided a kind of footprint processing method of Intelligent worn device, processing
Tactful intelligence, processing mode are simple.
In order to solve the above-mentioned technical problem, the present invention provides a kind of footprint processing method of Intelligent worn device, including：
Step S1, base station information, WiFi information and the GPS information gathered according to Intelligent worn device, passes through map interface
Obtain point of interest POI；
Step S2, the POI of acquisition is stored into POI lists；
Step S3, the POI in the POI lists handle corresponding footprint.
Wherein, the step S3 includes：
According to the acquisition time of each POI points in POI lists, judge whether its time interval is more than effective time, if it is,
Then mark is time-out time state in the footprint of the POI points；If not, still the footprint of the POI points is previous POI points
Footprint continuity when, then it is completion status to identify the footprint state；Abandoned if time interval is very short in the POI points
Footprint.
Wherein, the step S3 includes：
According to the longitude and latitude of each POI points in POI lists, judge whether distance therebetween is less than or equal to coverage, and root
It is judged that the corresponding footprint of result treatment.
Wherein, the step S3 includes：
Check whether the POI lists are empty, if being not sky, determine whether that nearest footprint A whether there is.
Wherein, the step S3 includes：
If the nearest footprint A is not present, judge whether the number L in the POI lists is less than 2, if small
Directly returned in 2, if judging whether the distance between first two POI point G0 and G1 d2 are less than in the POI lists not less than 2
Coverage D, if less than coverage D, remove G0 and simultaneously return, otherwise take G0, G1 to generate new footprint C, and remove G0,
G1。
Wherein, the step S3 includes：
If the nearest footprint A is present, judges whether the footprint A terminates, if be over, judge the foot
The distance between mark A and G0 d0 if it is merge the POI that continuously distance is less than coverage D whether in coverage D
Point, the nearest footprint A is updated, while remove the POI points handled；Otherwise judge in the POI lists whether is number
Less than 2, if directly returning, if not continuing to judge the distance between the footprint A and G1 d1 whether in coverage D
It is interior, take G1 to generate new footprint C if d1 is in coverage D, and remove G0, G1；If d1 not in coverage D,
Then judge that the distance between G0 and G1 d2 whether in coverage D, judge the footprint A if d2 is in coverage D
The footprint B that is recently completed whether there is, the footprint B, which exists, then takes G0, G1 to generate new footprint C, removes G0, G1, is selected according to d3
Select reservation or abandon A；Otherwise take G0, G1 to generate new footprint C, remove G0, G1, and abandon the footprint A；If d2 is not having
In effect distance, then remove G0 and return.
Wherein, the step S3 includes：
If the nearest footprint A exists and do not terminated, whether the distance between the footprint A and G0 d0 is judged
In coverage D, if it is, taking G0 to generate new footprint C, and G0 is removed, continue whether to judge the POI lists number
Less than 2, if directly returning, if not then judging the distance between the footprint A and G1 d1 whether in coverage D
It is interior, it is to take G0 to generate new footprint C, and remove G0, G1.
Wherein, the map interface is high moral map interface.
Wherein, the effective time is arranged to 5 minutes ~ 20 minutes.
Wherein, the coverage is arranged to 100 meters ~ 500 meters.
Following beneficial effect will be brought by implementing the embodiment of the present invention：According to Intelligent worn device gather base station information,
WiFi information and GPS information, and point of interest POI is obtained by map interface, strategy in a straightforward manner, intelligent is to foot
Mark is handled, and effectively increases the Consumer's Experience and applicability of Intelligent worn device.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of schematic flow sheet of the footprint processing method of Intelligent worn device of the embodiment of the present invention.
Fig. 2 is the state machine diagram of footprint planning in the embodiment of the present invention.
Fig. 3 is the schematic flow sheet of step S3 in the embodiment of the present invention.
Embodiment
Below with reference to the accompanying drawings the preferred embodiments of the present invention are described.
Refer to shown in Fig. 1, the embodiment of the present invention provides a kind of footprint processing method of Intelligent worn device, including：
Step S1, base station information, WiFi information and the GPS information gathered according to Intelligent worn device, passes through map interface
Obtain point of interest POI；
Step S2, the POI of acquisition is stored into POI lists；
Step S3, the POI in the POI lists handle corresponding footprint.
Each step is specifically described below.
In step S1, Intelligent worn device is at regular intervals（Such as 10 seconds）Can by the base station module built in it,
WiFi module and GPS module gather base station data, WiFi MAC Address, GPS addresses respectively, then pass through each map interface
（Such as high moral map interface）Obtain POI.POI includes POI points, acquisition time, longitude and latitude and the intelligence of POI points
Wearable device identifies ID.
In the present embodiment, there is coverage D and effective time T for footprint definition, coverage refers to more on map
Same footprint is regarded as in few diameter range, effective time refers to treat completely at least how long just can be regarded as one in coverage
Footprint, otherwise discard.For example, user is originally located in POI points 1, advance to POI points 2 thereafter, if POI points 1 and POI points 2 away from
From less than coverage D（I.e. in coverage）, show that the distance that user is advanced is limited, the POI points 1 when handling footprint
Approximate same footprint can be used as with POI points 2；Equally, if user is initially stayed at POI points 1, POI points 2 are advanced to afterwards
（In coverage）, and treating that the time is less than effective time T at POI points 2, then user will not generate newly at POI points 2
Footprint, but as the continuity of the footprint at POI points 1, or directly discarded.The judgement of coverage is set according to intelligence wearing
The standby longitude and latitude gathered, the time for the acquisition POI points that the judgement of effective time is gathered according to Intelligent worn device（Can also
The timestamp of referred to as POI points）.In the present embodiment, coverage D is arranged to 100 meters ~ 500 meters, and effective time T is arranged to 5 minutes
~ 20 minutes.
Thus, step S3 is specifically included：According to the acquisition time of each POI points in POI lists, whether its time interval is judged
More than effective time, if it is, mark is time-out time state in the footprint of the POI points；If not, the still POI points
When footprint is the continuity of the footprint of previous POI points, then it is completion status to identify the footprint state；If time interval is very short
Abandon the footprint in the POI points.
Further, step S3 also includes：According to the longitude and latitude of each POI points in POI lists, judge whether is distance therebetween
Corresponding footprint is handled less than or equal to coverage, and according to judged result.
Referring to shown in Fig. 2, Fig. 3, wherein, if footprint be A recently, the A footprint that is recently completed is B, POI points it is individual
Number is L, and first two POI points of POI queues are respectively G0, G1.
First check for whether POI lists are empty（That is the number of POI points is whether L is less than or equal to 0）If being not sky,
Determine whether that nearest footprint A whether there is.
If nearest footprint A is not present, judge whether the number L in POI lists is less than 2, directly returned if less than 2
Return, if judging whether the distance between G0 and G1 d2 are less than coverage D not less than 2, if less than coverage D, remove
G0 is simultaneously returned, and otherwise takes G0, G1 to generate new footprint C, and remove G0, G1.
If nearest footprint A is present, judges whether footprint A terminates, if be over, judge between footprint A and G0
Distance d0 whether in the coverage D, if it is merge the POI points that continuously distance is less than coverage D, renewal is nearest
Footprint A, while remove the POI points that have handled；Otherwise judge whether number is less than 2 in POI lists, if directly returning
Return, if not continuing to judge the distance between footprint A and G1 d1 whether in coverage D, if d1 is in coverage D
Then take G1 to generate new footprint C, and remove G0, G1；If d1 judges the distance between G0 and G1 not in coverage D
D2 judges that the footprint A footprint B that is recently completed whether there is whether in coverage D if d2 is in coverage D, foot
Mark B, which exists, then takes G0, G1 to generate new footprint C, removes G0, G1, is selected to retain or abandon A according to d3；Otherwise G0, G1 is taken to generate
New footprint C, removes G0, G1, and abandon A；If d2 not in coverage, removes G0 and returned.
If nearest footprint A exists and not terminated, judge the distance between footprint A and G0 d0 whether effectively away from
From in D, if it is, taking G0 to generate new footprint C, and G0 is removed, continue to judge whether POI lists number is less than 2, if
Directly return, be to take G0 generations new if not the distance between footprint A and G1 d1 is then judged whether in coverage D
Footprint C, and remove G0, G1.
Pass through foregoing description, the footprint processing method of Intelligent worn device of the embodiment of the present invention, according to intelligent wearing
Base station information, WiFi information and the GPS information of equipment collection, and point of interest POI is obtained by map interface, with simple
Mode, the strategy of intelligence are handled footprint, effectively increase the Consumer's Experience and applicability of Intelligent worn device.
Above disclosure is only preferred embodiment of present invention, can not limit the right model of the present invention with this certainly
Enclose, therefore the equivalent variations made according to the claims in the present invention, still belong to the scope that the present invention is covered.
Claims (6)
1. a kind of footprint processing method of Intelligent worn device, including：
Step S1, base station information, WiFi information and the GPS information gathered according to Intelligent worn device, is obtained by map interface
Point of interest POI；
Step S2, the POI of acquisition is stored into POI lists；
Step S3, the POI in the POI lists handle corresponding footprint；
The step S3 is specifically included：
According to the acquisition time of each POI points in POI lists, judge whether its time interval is more than effective time, if it is, mark
Knowledge is time-out time state in the footprint of the POI points；If not, still the footprint of the POI points is the foot of previous POI points
During the continuity of mark, then the footprint state for identifying the POI points is completion status；Abandoned if time interval is very short described
The footprint of POI points；
According to the longitude and latitude of each POI points in POI lists, whether the distance that judges therebetween is less than or equal to coverage, and according to sentencing
The corresponding footprint of disconnected result treatment；
Check whether the POI lists are empty, if being not sky, determine whether that nearest footprint A whether there is；
If the nearest footprint A is not present, whether the number L in the POI lists is judged less than 2, it is straight if less than 2
Return is connect, if judging whether the distance between first two POI point G0 and G1 d2 are less than effective in the POI lists not less than 2
Distance D, if less than coverage D, remove G0 and return, otherwise take G0, G1 to generate new footprint C, and remove G0, G1.
2. according to the method for claim 1, it is characterised in that the step S3 includes：
If the nearest footprint A is present, judges whether the footprint A terminates, if be over, judge the footprint A
The distance between G0 d0 if it is merges the POI points that continuously distance is less than coverage D whether in coverage D,
The nearest footprint A is updated, while removes the POI points handled；Otherwise judge whether number is less than in the POI lists
2, if directly returning, if not continuing to judge the distance between the footprint A and G1 d1 whether in coverage D,
Take G1 to generate new footprint C if d1 is in coverage D, and remove G0, G1；If d1 in coverage D, does not sentence
Disconnected the distance between G0 and G1 d2 judges the footprint A most whether in coverage D if d2 is in coverage D
The nearly footprint B that completes whether there is, and the footprint B, which exists, then takes G0, G1 to generate new footprint C, G0, G1 is removed, according to footprint A and foot
The distance between mark B d3 selections retain or abandoned A；Otherwise take G0, G1 to generate new footprint C, remove G0, G1, and described in abandonment
Footprint A；If d2 not in coverage, removes G0 and returned.
3. according to the method for claim 2, it is characterised in that the step S3 includes：
If the nearest footprint A exists and do not terminated, judge whether the distance between footprint A and G0 d0 is having
Imitate in distance D, if it is, taking G0 to generate new footprint C, and remove G0, continue to judge whether the POI lists number is less than
2, if directly returning, if not then judging that the distance between the footprint A and G1 d1 whether in coverage D, is
Then take G0 to generate new footprint C, and remove G0, G1.
4. according to the method described in claim any one of 1-2, it is characterised in that the map interface is high moral map interface.
5. according to the method described in claim any one of 1-2, it is characterised in that the effective time is arranged to 5 minutes~20
Minute.
6. according to the method described in claim any one of 1-2, it is characterised in that the coverage is arranged to 100 meters~500
Rice.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410780537.4A CN104457743B (en) | 2014-12-17 | 2014-12-17 | A kind of footprint processing method of Intelligent worn device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410780537.4A CN104457743B (en) | 2014-12-17 | 2014-12-17 | A kind of footprint processing method of Intelligent worn device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104457743A CN104457743A (en) | 2015-03-25 |
| CN104457743B true CN104457743B (en) | 2018-01-30 |
Family
ID=52904179
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410780537.4A Active CN104457743B (en) | 2014-12-17 | 2014-12-17 | A kind of footprint processing method of Intelligent worn device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104457743B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106503714B (en) * | 2016-10-11 | 2020-01-03 | 湖州师范学院 | Method for identifying city functional area based on point of interest data |
| CN108959373A (en) * | 2018-05-23 | 2018-12-07 | 北京都在哪网讯科技有限公司 | Footprint point generation method and device |
| TWI811603B (en) * | 2020-12-29 | 2023-08-11 | 司圖科技股份有限公司 | Poi tracking analysis system and people flow system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1797398A (en) * | 2004-12-02 | 2006-07-05 | 三星电子株式会社 | Device and method for creating electronic album using map data |
| CN101000372A (en) * | 2006-12-30 | 2007-07-18 | 凯立德欣技术（深圳）有限公司 | Maprecording method and equipment for tracing navigation |
| CN101349567A (en) * | 2008-07-29 | 2009-01-21 | 方圆信通科技（北京）有限公司 | Method for providing local mobile geographical information service based on GPS and mobile terminal |
| CN101561284A (en) * | 2008-04-17 | 2009-10-21 | 北京灵图软件技术有限公司 | Method, device and system for editing navigation track |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3985012B1 (en) * | 2007-02-16 | 2007-10-03 | キャンバスマップル株式会社 | Position information processing apparatus, position information processing method, and position information processing program |
| KR101615504B1 (en) * | 2009-09-10 | 2016-04-26 | 삼성전자주식회사 | Apparatus and method for serching and storing contents in portable terminal |
-
2014
- 2014-12-17 CN CN201410780537.4A patent/CN104457743B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1797398A (en) * | 2004-12-02 | 2006-07-05 | 三星电子株式会社 | Device and method for creating electronic album using map data |
| CN101000372A (en) * | 2006-12-30 | 2007-07-18 | 凯立德欣技术（深圳）有限公司 | Maprecording method and equipment for tracing navigation |
| CN101561284A (en) * | 2008-04-17 | 2009-10-21 | 北京灵图软件技术有限公司 | Method, device and system for editing navigation track |
| CN101349567A (en) * | 2008-07-29 | 2009-01-21 | 方圆信通科技（北京）有限公司 | Method for providing local mobile geographical information service based on GPS and mobile terminal |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104457743A (en) | 2015-03-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10110026B2 (en) | Wireless sensor network charging method for multi-charge nodes | |
| CN107228677B (en) | Yaw recognition methods and device | |
| CN107913039A (en) | Block system of selection, device and robot for clean robot | |
| CN105488892B (en) | A kind of method and server for robot queuing management | |
| CN104457743B (en) | A kind of footprint processing method of Intelligent worn device | |
| JP6942706B2 (en) | How and equipment to get the route heat of a traffic road | |
| JP2014006244A (en) | Method and apparatus for planning route of electric vehicle | |
| CN104615881B (en) | A kind of user's normality trajectory analysis method based on shift position application | |
| CN102914761B (en) | System and method for monitoring quality of intelligent electric energy meter | |
| CN105318882B (en) | The method and device of point of interest binding road | |
| CN105871969A (en) | Method and device for travel path calculation of a plurality of users | |
| WO2015110041A1 (en) | Route information acquiring method and terminal | |
| CN108572999A (en) | The searching method and device of interest face AOI profiles | |
| CN106326254A (en) | Method and device for repairing driving route | |
| CN106502607A (en) | A kind of line segment method for deleting and device | |
| CN108072368A (en) | Air navigation aid and device | |
| CN111762054A (en) | Charging station management method and management system | |
| CN103916435A (en) | Method and device for judging authenticity of information | |
| CN108562296A (en) | A kind of road matching method and device based on vehicle satellite location data | |
| CN101957207A (en) | Method and system for vehicle-mounted rapid navigation and positioning of land planning supervision implementation | |
| CN107193824A (en) | Abnormal deviation data examination method and device | |
| CN107864158A (en) | A kind of method, apparatus, equipment and the storage medium of Internet of Things information transfer | |
| CN105554104B (en) | According to GPS satellite number bolt down procedure running background method and device | |
| CN105973261B (en) | Label processing method and device | |
| CN103530742B (en) | Improve the method and device of scheduling arithmetic speed |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20151217 Address after: 518000 Guangdong city of Shenzhen province Nanshan District Taoyuan Road No. 5 neighboring apartment A13A10 Applicant after: Chen Yiping Address before: 518000 Guangdong city of Shenzhen province Futian District Che Kung Temple Tairan Industrial Park 206 East Block 713 Applicant before: SHENZHEN QINMI TECHNOLOGY CO., LTD. |
|
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Li Feng Inventor before: Zheng Wei Inventor before: Zhang Chuangjun Inventor before: Chen Yiping Inventor before: Li Ze |
|
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20171115 Address after: 224700 Jiangsu province jianhuxian Yancheng City high-tech Economic Zone office building two floor, Room 201 Applicant after: High tech investment and Development Co. Ltd. in Jianhu County Address before: 518000 Guangdong city of Shenzhen province Nanshan District Taoyuan Road No. 5 neighboring apartment A13A10 Applicant before: Chen Yiping |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |