CN104809241A - Information pushing method and device for internet-of-things accommodation platform - Google Patents
Information pushing method and device for internet-of-things accommodation platform Download PDFInfo
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- CN104809241A CN104809241A CN201510244250.4A CN201510244250A CN104809241A CN 104809241 A CN104809241 A CN 104809241A CN 201510244250 A CN201510244250 A CN 201510244250A CN 104809241 A CN104809241 A CN 104809241A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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Abstract
The embodiment of the invention provides an information pushing method for an internet-of-things accommodation platform. The method comprises the following steps: acquiring the longitude and latitude information of a terminal device of a user in real time; converting the acquired longitude and latitude information into a GeoHash code with a geographic information index; quickly searching for an entity and/or the relevant information of the entity in an area represented by the code according to the generated GeoHash code; accurately matching the entity with the terminal device; pushing the relevant information of the entity to the terminal device. The embodiment of the invention further provides an information pushing device for the internet-of-things accommodation platform. According to the method and the device, the user can quickly receive the relevant information of wanted surrounding entities anytime and anywhere according to the location. Meanwhile, the information pushing efficiency is higher, the pertinence is higher, and the matching of pushing and receiving is more accurate.
Description
Technical field:
The present invention relates to information-pushing method and the device of a kind of thing connection accommodation platform.
Background technology:
Along with the arriving in Internet of Things epoch, the life of thing connection is day by day close with people.Although dissimilar entity (as, include but not limited to service type businessman) understand in the Web realease information relevant with its service, but, clothing, food, shelter, row, the pleasure of people, the life requirement such as to purchase, after still needing individual to carry out manual search by network or end device, just can find relevant information, people cannot rely on its end device also can receive the information oneself wanted whenever and wherever possible without manual search.
Summary of the invention:
Also cannot can receive the problem of the information oneself wanted whenever and wherever possible without manual search by means of its end device for solving people in prior art, the embodiment of the present invention provides the information-pushing method of a kind of thing connection accommodation platform on the one hand, comprising:
The latitude and longitude information of the end device of Real-time Collection user;
The latitude and longitude information of collection is converted to the GeoHash coding of band geography information index;
Entity in region representated by this coding of GeoHash coding fast finding generated and/or the relevant information of entity; Described entity and relevant information thereof are gathered in advance and are stored in the database of thing connection accommodation platform;
Described entity is precisely mated with end device;
The relevant information of entity is pushed to end device.
On the other hand, the embodiment of the present invention additionally provides the information push-delivery apparatus of a kind of thing connection accommodation platform, comprising:
Real-time Collection module, for the latitude and longitude information of the end device of Real-time Collection user;
Modular converter, for converting the GeoHash coding of band geography information index to by the latitude and longitude information of collection;
Search module, for the relevant information of encode according to the GeoHash generated entity in region representated by fast finding this coding and/or entity; Described entity and relevant information thereof are gathered in advance and are stored in the database of thing connection accommodation platform;
Accurate matching module, for precisely mating described entity with end device;
Info push module, for pushing to end device by the relevant information of entity.
The embodiment of the present invention, by the position of the end device of Real-time Collection user, then according to the entity in the fast finding neighboring area, end device position of user and or the relevant information of entity, again the entity found out precisely is mated with end device, finally the relevant information of entity is pushed to end device automatically, thus make user without the need to through manual search, also can according to the present position relevant information of periphery entity wanted of high-speed receiving oneself whenever and wherever possible.Meanwhile, make the efficiency of information pushing higher, specific aim is stronger, pushes more accurate with mating of reception.
Accompanying drawing illustrates:
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, below the accompanying drawing used required in describing embodiment is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of the first embodiment of the information-pushing method of thing of the present invention connection accommodation platform;
Fig. 2 is the schematic flow sheet of the second embodiment of the information-pushing method of thing of the present invention connection accommodation platform;
Fig. 3 is the schematic flow sheet of the 3rd embodiment of the information-pushing method of thing of the present invention connection accommodation platform;
Fig. 4 is the structural representation of the first embodiment of the information push-delivery apparatus of thing of the present invention connection accommodation platform;
Fig. 5 is the structural representation of the second embodiment of the information push-delivery apparatus of thing of the present invention connection accommodation platform;
Fig. 6 is the structural representation of the 3rd embodiment of the information push-delivery apparatus of thing of the present invention connection accommodation platform.
Embodiment:
In order to make technical matters solved by the invention, technical scheme and beneficial effect clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Fig. 1 is the schematic flow sheet of the first embodiment of the information-pushing method of thing of the present invention connection accommodation platform, and it comprises:
Step S101, the latitude and longitude information of the end device of Real-time Collection user.
This step user agree to and under the prerequisite of permitting timing acquiring user end device residing for position, and be uploaded to thing connection accommodation platform database in.
In this step, the positional information of its band latitude and longitude information uploaded in real time by the end device of user by internet, mobile wireless network, for thing connection accommodation platform Real-time Collection.
In this step, the end device of user includes but not limited to hand-held mobile terminal, MP3, MP4, PC, panel computer, notebook, car-mounted terminal etc.
In this step, the end device of user also can gather the information from outer environment states such as weather, region, season, moment, longitudes and latitudes, meanwhile, also can gather personal habits or the hobby of user.
Step S102, converts the GeoHash coding of band geography information index to by the latitude and longitude information of collection.
This step specifically comprises: according to the range of receiving of the end device of user preset, and in conjunction with GeoHash accuracy & error distance collation table, chooses the GeoHash precision corresponding to the error distance being a bit larger tham this range of receiving; According to GeoHash algorithm and the GeoHash precision chosen, calculate the GeoHash coding of the latitude and longitude information of the end device of described user.
Described GeoHash algorithm is by a latitude and longitude information, converts the computing method of string encoding that can sort, can compare to.
Below with the longitude and latitude of A entity [113.449657,22.534613] for example, introduce described GeoHash algorithm in detail:
First, GeoHash binary coding is calculated.
Terrestrial latitude interval is [-90,90], and the latitude of A entity is 22.534613, can pass through algorithm below and carry out approach coding to latitude 22.534613:
1) interval [-90,90] two are divided into [-90,0), [0,90], are called between left and right region, can determine that 22.534613 belong to right interval [0,90], to being labeled as 1;
2) then interval [0,90] are carried out two being divided into [0,45), [45,90], can determine 22.534613 belong to left interval [0,45), to being labeled as 0;
3) recurrence said process 22.534613 always belongs to certain interval [a, b].Along with between each iterative region, [a, b] is always reducing, and more and more approaches 22.534613;
4) if given latitude x (22.534613) belongs to left interval, then record 0, if belong to right interval, record 1, be 10100000000011001001 along with the carrying out of algorithm can produce a sequence bit like this, the length of sequence is relevant with given interval division number of times.
Terrestrial longitude interval is [-180,180], and the longitude of A entity is 113.449657, and the method for longitude 113.449657 being carried out to approach coding is the same, repeats no more herein.
By above-mentioned calculating, the coding bit latitude of A entity being calculated to rear generation is 10,100 0,000,000,110 01001, and coding bit longitude being calculated to rear generation is 11,010 00,010 10,110 01110.
Secondly, above-mentioned coded strings is carried out group code, during group code, odd bits puts longitude coding successively, and even bit puts latitude coding successively, the coded strings new for 2 string encoding combination producings: 11,100 11,000 00,000 0,100,010,001 11,100 00,111 01001.
Finally, change into character to decimal by 11,100 11,000 00,000 01,000 10,001 11,100 00,111 01001, corresponding generation 28,24,0,8,17,28,7,9, in conjunction with the following decimal system ~ BASE32 coding, (it uses 0-9, b-z (to remove a, i, l again, o) these 32 letters are formed) table of comparisons, the BASE32 coding that character to decimal correspondence generates is exactly WS08JW79.
| The decimal system | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |
| BASE32 | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | B | C | D | E | F | G |
| The decimal system | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 |
| BASE32 | H | J | K | M | N | P | G | R | S | T | U | V | W | X | Y | Z |
That is, the longitude and latitude [113.449657,22.534613] of A entity, the GeoHash generated after GeoHash algorithm calculates is encoded to: WS08JW79.
The figure place of described GeoHash precision and GeoHash coding, different GeoHash precision, the figure place that the GeoHash obtained encodes is also different, and the regional extent representated by it is also different, and precision is lower, and the regional extent of representative is larger.Same with the longitude and latitude of A entity [113.449657,22.534613] for example, as shown in the table according to the GeoHash coding that different GeoHash accuracy computation draws:
| GeoHash precision | GeoHash encodes |
| 1 | W |
| 2 | WS |
| 3 | WS0 |
| 4 | WS08 |
| 5 | WS08J |
| 6 | WS08JW |
| 7 | WS08JW7 |
| 8 | WS08JW79 |
| 9 | WS08JW798 |
| 10 | WS08JW798S |
Described GeoHash accuracy & error distance collation table is as follows:
| GeoHash precision | Latitude figure place | Longitude figure place | Latitude error | Longitude error | Error distance (km) |
| 1 | 2 | 3 | ±23 | ±23 | ±2500 |
| 2 | 5 | 5 | ±2.8 | ±5.6 | ±630 |
| 3 | 7 | 8 | ±0.70 | ±0.7 | ±78 |
| 4 | 10 | 10 | ±0.087 | ±0.18 | ±20 |
| 5 | 12 | 13 | ±0.022 | ±0.022 | ±2.4 |
| 6 | 15 | 15 | ±0.0027 | ±0.0055 | ±0.61 |
| 7 | 17 | 18 | ±0.00068 | ±0.00068 | ±0.076 |
| 8 | 20 | 20 | ±0.000085 | ±0.00017 | ±0.019 |
As the table shows, when the precision of Geohash coding is 7, its error distance, namely can by particular location accurately in the region of about 76 meters at about 76 meters.And when Geohash coding precision be 8 time, its error distance at about 19 meters, now, can by particular location accurately in the region of about 19 meters.The precision of concrete Geohash coding needs to select according to data cases.
The range of receiving of described end device, can be preset by user oneself, as 500 meters, 1000 meters etc.
Such as, if the range of receiving that user presets is 500 meters, then in conjunction with GeoHash accuracy & error distance collation table, the error distance being a bit larger tham this range of receiving is ± 0.61km, the GeoHash precision of the correspondence chosen is then 6, so, according to GeoHash algorithm and the GeoHash precision chosen, the GeoHash coding calculating the latitude and longitude information of the end device of the user of gained is then the coding of 6 characters.
Step S103, the entity in region representated by this coding of GeoHash coding fast finding generated and/or the relevant information of entity.
In this step, described entity is the object of the transportable and geo-stationary of earth surface, and its relevant information is gathered in advance and is stored in the database of thing connection accommodation platform.
In this step, transportable object mainly refers to car, ship, people, animal or mobile goods; The object of geo-stationary refers to the irremovable objects such as buildings, plant, place, material object.In the present embodiment, the object of the preferred geo-stationary of described entity.
In this step, described relevant information at least comprises entity title, place longitude and latitude, the GeoHash coding converted to according to place longitude and latitude and the sightless information classification label of user.Described information classification label comprises clothing, food, shelter, row, pleasure, purchases six large class tag along sorts, and each seed classification label in six large classes.
In this step, the relevant information of described entity uploads renewal in real time by internet, mobile wireless network.
In this step, described entity can gather the information from external environment condition changes such as weather, region, season, moment, orientation, longitudes and latitudes, also can gather the information of inner space state change simultaneously, the information spinner of this inner space state change will refer to the transformable information data that the inner entity inside such as space, temperature, flow of the people, inner element, inner structure provides, can be uploaded by artificial mode, also can be gathered by intelligent terminal.
Particularly, illustrate, for the longitude and latitude [113.389694 of the B entity collected (large new Xin Douhui), 22.539011] and the longitude and latitude [113.390381 of C entity (Li He square), 22.519173], according to GeoHash algorithm described above, get 10 GeoHash precision convert to corresponding GeoHash encode after, described B entity, C entity and relevant information thereof the storage form of expression in a database can be but be not limited to following form:
WS08HPPG72, large new Xin Douhui, 113.389694,22.539011, No. 1, great Xin South Road, Shi Qi district of Zhongshan city, 076088705388,
WS08H72REQ, Li He square, No. 16, Zhong Shan tri-tunnel, 113.390381,22.519173, Zhong Shanshiqi street, 076088886888,
The GeoHash coding that this step can will generate, compare with gathering in advance and be stored in the top N that GeoHash that thing joins the entity in the database of accommodation platform encodes, thus the relevant information of entity in region representated by this coding of fast finding and/or entity, wherein, described N value equals the coding figure place of the GeoHash coding generated, the coding figure place of the GeoHash coding of the end device namely generated.
This step can according to end device position, centered by end device position, and the entity in the range of receiving of automatic fast finding user setting.
Step S104, precisely mates the entity found with end device.
In this step, described entity mates with accurate between end device, can be to intersect precisely coupling and/or personalized precisely coupling.Thus further screening is mated to entity and relevant information thereof, make the efficiency of information pushing higher, specific aim is stronger, pushes more accurate with mating of reception.
Step S105, pushes to end device by the relevant information of entity.
In this step, to the relevant information of entity that end device pushes, can comprise in longitude and latitude, electronic notebook, picture, telephone number, audio frequency and video, microblogging, the COS of entity, preferential activity, grace period section, the new e-file such as cuisine, special price dish one or more.
After end device receives relevant information, user can directly with provide the entity of this information to carry out alternately, the aspects such as mutual content includes but not limited to text conversation, voice dialogue, picture, places an order, on-line payment.Also can carry out the transmission of e-file simultaneously, also the position of this entity can directly be checked, and finding this entity according to oneself current position generation navigation way, navigation way can be minimal path, also can be the multiple choices such as recommended route and preferential high speed route.
The embodiment of the present invention, by the position of the end device of Real-time Collection user, then according to the entity in the fast finding neighboring area, end device position of user and or the relevant information of entity, again the entity found out precisely is mated with end device, finally the relevant information of entity is pushed to end device automatically, thus make user without the need to through manual search, also can according to the present position relevant information of periphery entity wanted of high-speed receiving oneself whenever and wherever possible.Meanwhile, make the efficiency of information pushing higher, specific aim is stronger, pushes more accurate with mating of reception.
Fig. 2 is the schematic flow sheet of the second embodiment of the information-pushing method of thing of the present invention connection accommodation platform, and it comprises:
Step S201, the latitude and longitude information of the end device of Real-time Collection user.
This step user agree to and under the prerequisite of permitting timing acquiring user end device residing for position, and be uploaded to thing connection accommodation platform database in.
In this step, the positional information of its band latitude and longitude information uploaded in real time by the end device of user by internet, mobile wireless network, for thing connection accommodation platform Real-time Collection.
In this step, the end device of user includes but not limited to hand-held mobile terminal, MP3, MP4, PC, panel computer, notebook, car-mounted terminal etc.
In this step, the end device of user also can gather the information from outer environment states such as weather, region, season, moment, longitudes and latitudes, meanwhile, also can gather personal habits or the hobby of user.
Step S202, converts the GeoHash coding of band geography information index to by the latitude and longitude information of collection.
This step specifically comprises: according to the range of receiving of the end device of user preset, and in conjunction with GeoHash accuracy & error distance collation table, chooses the GeoHash precision corresponding to the error distance being a bit larger tham this range of receiving; According to GeoHash algorithm and the GeoHash precision chosen, calculate the GeoHash coding of the latitude and longitude information of the end device of described user.
Described GeoHash algorithm is by a latitude and longitude information, converts the computing method of string encoding that can sort, can compare to.
Below with the longitude and latitude of A entity [113.449657,22.534613] for example, introduce described GeoHash algorithm in detail:
First, GeoHash binary coding is calculated.
Terrestrial latitude interval is [-90,90], and the latitude of A entity is 22.534613, can pass through algorithm below and carry out approach coding to latitude 22.534613:
1) interval [-90,90] two are divided into [-90,0), [0,90], are called between left and right region, can determine that 22.534613 belong to right interval [0,90], to being labeled as 1;
2) then interval [0,90] are carried out two being divided into [0,45), [45,90], can determine 22.534613 belong to left interval [0,45), to being labeled as 0;
3) recurrence said process 22.534613 always belongs to certain interval [a, b].Along with between each iterative region, [a, b] is always reducing, and more and more approaches 22.534613;
4) if given latitude x (22.534613) belongs to left interval, then record 0, if belong to right interval, record 1, be 10100000000011001001 along with the carrying out of algorithm can produce a sequence bit like this, the length of sequence is relevant with given interval division number of times.
Terrestrial longitude interval is [-180,180], and the longitude of A entity is 113.449657, and the method for longitude 113.449657 being carried out to approach coding is the same, repeats no more herein.
By above-mentioned calculating, the coding bit latitude of A entity being calculated to rear generation is 10,100 0,000,000,110 01001, and coding bit longitude being calculated to rear generation is 11,010 00,010 10,110 01110.
Secondly, above-mentioned coded strings is carried out group code, during group code, odd bits puts longitude coding successively, and even bit puts latitude coding successively, the coded strings new for 2 string encoding combination producings: 11,100 11,000 00,000 0,100,010,001 11,100 00,111 01001.
Finally, change into character to decimal by 11,100 11,000 00,000 01,000 10,001 11,100 00,111 01001, corresponding generation 28,24,0,8,17,28,7,9, in conjunction with the following decimal system ~ BASE32 coding, (it uses 0-9, b-z (to remove a, i, l again, o) these 32 letters are formed) table of comparisons, the BASE32 coding that character to decimal correspondence generates is exactly WS08JW79.
| The decimal system | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |
| BASE32 | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | B | C | D | E | F | G |
| The decimal system | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 |
| BASE32 | H | J | K | M | N | F | G | R | S | T | U | V | W | X | Y | Z |
That is, the longitude and latitude [113.449657,22.534613] of A entity, the GeoHash generated after GeoHash algorithm calculates is encoded to: WS08JW79.
The figure place of described GeoHash precision and GeoHash coding, different GeoHash precision, the figure place that the GeoHash obtained encodes is also different, and the regional extent representated by it is also different, and precision is lower, and the regional extent of representative is larger.Same with the longitude and latitude of A entity [113.449657,22.534613] for example, as shown in the table according to the GeoHash coding that different GeoHash accuracy computation draws:
| GeoHash precision | GeoHash encodes |
| 1 | W |
| 2 | WS |
| 3 | WS0 |
| 4 | WS08 |
| 5 | WS08J |
| 6 | WS08JW |
| 7 | WS08JW7 |
| 8 | WS08JW79 |
| 9 | WS08JW798 |
| 10 | WS08JW798S |
Described GeoHash accuracy & error distance collation table is as follows:
| GeoHash precision | Latitude figure place | Longitude figure place | Latitude error | Longitude error | Error distance (km) |
| 1 | 2 | 3 | ±23 | ±23 | ±2500 |
| 2 | 5 | 5 | ±2.8 | ±5.6 | ±630 |
| 3 | 7 | 8 | ±0.70 | ±0.7 | ±78 |
| 4 | 10 | 10 | ±0.087 | ±0.18 | ±20 |
| 5 | 12 | 13 | ±0.022 | ±0.022 | ±2.4 |
| 6 | 15 | 15 | ±0.0027 | ±0.0055 | ±0.61 |
| 7 | 17 | 18 | ±0.00068 | ±0.00068 | ±0.076 |
| 8 | 20 | 20 | ±0.000085 | ±0.00017 | ±0.019 |
As the table shows, when the precision of Geohash coding is 7, its error distance, namely can by particular location accurately in the region of about 76 meters at about 76 meters.And when Geohash coding precision be 8 time, its error distance at about 19 meters, now, can by particular location accurately in the region of about 19 meters.The precision of concrete Geohash coding needs to select according to data cases.
The range of receiving of described end device, can be preset by user oneself, as 500 meters, 1000 meters etc.
Such as, if the range of receiving that user presets is 500 meters, then in conjunction with GeoHash accuracy & error distance collation table, the error distance being a bit larger tham this range of receiving is ± 0.61km, the GeoHash precision of the correspondence chosen is then 6, so, according to GeoHash algorithm and the GeoHash precision chosen, the GeoHash coding calculating the latitude and longitude information of the end device of the user of gained is then the coding of 6 characters.
Step S203, the entity in region representated by this coding of GeoHash coding fast finding generated and/or the relevant information of entity.
In this step, described entity is the object of the transportable and geo-stationary of earth surface, and its relevant information is gathered in advance and is stored in the database of thing connection accommodation platform.
In this step, transportable object mainly refers to car, ship, people, animal or mobile goods; The object of geo-stationary refers to the irremovable objects such as buildings, plant, place, material object.In the present embodiment, the object of the preferred geo-stationary of described entity.
In this step, described relevant information at least comprises entity title, place longitude and latitude, the GeoHash coding converted to according to place longitude and latitude and the sightless information classification label of user.Described information classification label comprises clothing, food, shelter, row, pleasure, purchases six large class tag along sorts, and each seed classification label in six large classes.
In this step, the relevant information of described entity uploads renewal in real time by internet, mobile wireless network.
In this step, described entity can gather the information from external environment condition changes such as weather, region, season, moment, orientation, longitudes and latitudes, also can gather the information of inner space state change simultaneously, the information spinner of this inner space state change will refer to the transformable information data that the inner entity inside such as space, temperature, flow of the people, inner element, inner structure provides, can be uploaded by artificial mode, also can be gathered by intelligent terminal.
Particularly, illustrate, for the longitude and latitude [113.389694 of the B entity collected (large new Xin Douhui), 22.539011] and the longitude and latitude [113.390381 of C entity (Li He square), 22.519173], according to GeoHash algorithm described above, get 10 GeoHash precision convert to corresponding GeoHash encode after, described B entity, C entity and relevant information thereof the storage form of expression in a database can be but be not limited to following form:
WS08HPPG72, large new Xin Douhui, 113.389694,22.539011, No. 1, great Xin South Road, Shi Qi district of Zhongshan city, 076088705388,
WS08H72REQ, Li He square, No. 16, Zhong Shan tri-tunnel, 113.390381,22.519173, Zhong Shanshiqi street, 076088886888,
The GeoHash coding that this step can will generate, compare with gathering in advance and be stored in the top N that GeoHash that thing joins the entity in the database of accommodation platform encodes, thus the relevant information of entity in region representated by this coding of fast finding and/or entity, wherein, described N value equals the coding figure place of the GeoHash coding generated, the coding figure place of the GeoHash coding of the end device namely generated.
This step can according to end device position, centered by end device position, and the entity in the range of receiving of automatic fast finding user setting.
Step S204, calculates the distance between described entity and end device one by one.
In this step, utilize the algorithm asking its arc length between known earth surface 2, carry out the distance between computational entity and end device.
Step S205, compares with the default range of receiving of end device respectively by calculating gained distance.
In this step, the range of receiving of described end device, can be preset by user oneself, as 500 meters, 1000 meters etc.
Step S206, compares with the default scope of release of entity respectively by calculating gained distance.
In this step, the default scope of release of described entity can be 1KM, 5KM or 10KM.
Step S207, according to comparative result, judge the distance between described entity and end device in the default range of receiving of end device and end device be in the default scope of release of entity?
If the judged result of step S207 is yes, flow process enters step S208; Otherwise flow process returns step S201.
Step S208, filters out the entity after the accurate coupling of intersection and relevant information thereof.
In this step, the entity filtered out and relevant information thereof, the distance between its particular location and end device is in the default range of receiving of end device, and end device is also in the default scope of release of the entity filtered out.
Step S209, adopts the mode of getting common factor in set operation, the information after intersection precisely coupling is mated with personalized condition one by one.
In this step, described personalized condition at least comprises individual habit of user or hobby, and it generates according to following methods analyst:
When the relevant information of the different entities that provides of end device access thing connection accommodation platform of user, acquisition terminal device access at every turn access time, information classification label and longitude and latitude;
Access frequency is gone out in a certain period higher than the information classification label of setting value according to the information sifting gathered; And/or
Access times are gone out in the middle of one day higher than the information classification label of setting value according to the information sifting gathered; And/or
Access frequency is gone out in the middle of one day higher than the focus region of setting value according to the information sifting gathered;
Form information classification label and/or the focus region of representative of consumer personal habits or hobby.
Further, the described information sifting according to gathering goes out access frequency in a certain period and, higher than the step of the information classification label of setting value, comprising:
According to 24 hours every days, these 24 periods are concluded in this access of end device;
Calculate the number of times of accessing often kind of information classification label in each period;
Sort by access times, and take out 1 the highest information classification label of access frequency in this period;
Filter operation is carried out to the information classification label taken out, removes the information classification label of access times lower than setting value.
Again further, the described information sifting according to gathering goes out access times in the middle of a day and, higher than the step of the information classification label of setting value, comprising:
Add up the number of times of end device access often kind of information classification label in a day;
Sort by access times, take out 3 information classification labels that in a day, access times are the highest;
Filter operation is carried out to the information classification label taken out, removes the information classification label of access times lower than setting value.
Again further, the described information sifting according to gathering goes out access frequency in the middle of a day and, higher than the step in the focus region of setting value, comprising:
According to the latitude and longitude information gathered, calculate the GeoHash coding of 5 GeoHash accuracy requirements of all information of access in a day;
Count the GeoHash coding that access frequency is the highest;
Carry out filter operation to the GeoHash coding counted, removal frequency is encoded lower than the GeoHash of setting value.
In this step, described personalized condition also can be formed, as the type etc. of the information point of user's sex, age, hobby, concern, the end device of use according to the information of user's active typing.
In this step, described personalized condition also comprises weather, season etc., and it can be formed according to the information of system active acquisition.
Does step S210, judge that the satisfying personalized condition of described entity is no?
If the judged result of step S210 is yes, then flow process enters step S211; Otherwise flow process returns step S201.
Step S211, filters out the entity after personalized precisely coupling and relevant information thereof.
This step can be done further precisely to mate screening to entity and relevant information thereof, makes the efficiency of information pushing higher, and specific aim is stronger, pushes more accurate with mating of reception.
Step S212, pushes to end device by the relevant information of entity.
In this step, to the relevant information of entity that end device pushes, can comprise in longitude and latitude, electronic notebook, picture, telephone number, audio frequency and video, microblogging, the COS of entity, preferential activity, grace period section, the new e-file such as cuisine, special price dish one or more.The relevant information being pushed to user according to time, space, orientation, season, moment, weather, environmental change and changing, can obtain according to individual habit of user or hobby the result wanted.
After end device receives relevant information, user can directly with provide the entity of this information to carry out alternately, the aspects such as mutual content includes but not limited to text conversation, voice dialogue, picture, places an order, on-line payment.Also can carry out the transmission of e-file simultaneously, also the position of this entity can directly be checked, and finding this entity according to oneself current position generation navigation way, navigation way can be minimal path, also can be the multiple choices such as recommended route and preferential high speed route.
The embodiment of the present invention, entity in the end device neighboring area that fast finding is arrived and or the relevant information of entity, carry out intersecting after precisely coupling and personalization are precisely mated, the relevant information of entity is pushed to end device automatically, thus make user without the need to through manual search, also can according to the present position relevant information of periphery entity wanted of high-speed receiving oneself whenever and wherever possible.Meanwhile, make the efficiency of information pushing higher, specific aim is stronger, pushes more accurate with mating of reception.
Fig. 3 is the schematic flow sheet of the 3rd embodiment of the information-pushing method of thing of the present invention connection accommodation platform, and it comprises:
Step S301, the latitude and longitude information of the end device of Real-time Collection user.
This step user agree to and under the prerequisite of permitting timing acquiring user end device residing for position, and be uploaded to thing connection accommodation platform database in.
In this step, the positional information of its band latitude and longitude information uploaded in real time by the end device of user by internet, mobile wireless network, for thing connection accommodation platform Real-time Collection.
In this step, the end device of user includes but not limited to hand-held mobile terminal, MP3, MP4, PC, panel computer, notebook, car-mounted terminal etc.
In this step, the end device of user also can gather the information from outer environment states such as weather, region, season, moment, longitudes and latitudes, meanwhile, also can gather personal habits or the hobby of user.
Step S302, according to the range of receiving of the end device of user preset, and in conjunction with GeoHash accuracy & error distance collation table, chooses the GeoHash precision corresponding to the error distance being a bit larger tham this range of receiving.
In this step, the figure place of described GeoHash precision and GeoHash coding, different GeoHash precision, the figure place that the GeoHash obtained encodes is also different, and the regional extent representated by it is also different, and precision is lower, and the regional extent of representative is larger.Same with the longitude and latitude of A entity [113.449657,22.534613] for example, as shown in the table according to the GeoHash coding that different GeoHash accuracy computation draws:
| GeoHash precision | GeoHash encodes |
| 1 | W |
| 2 | WS |
| 3 | WS0 |
| 4 | WS08 |
| 5 | WS08J |
| 6 | WS08JW |
| 7 | WS08JW7 |
| 8 | WS08JW79 |
| 9 | WS08JW798 |
| 10 | WS08JW798S |
In this step, described GeoHash accuracy & error distance collation table is as follows:
| GeoHash precision | Latitude figure place | Longitude figure place | Latitude error | Longitude error | Error distance (km) |
| 1 | 2 | 3 | ±23 | ±23 | ±2500 |
| 2 | 5 | 5 | ±2.8 | ±5.6 | ±630 |
| 3 | 7 | 8 | ±0.70 | ±0.7 | ±78 |
| 4 | 10 | 10 | ±0.087 | ±0.18 | ±20 |
| 5 | 12 | 13 | ±0.022 | ±0.022 | ±2.4 |
| 6 | 15 | 15 | ±0.0027 | ±0.0055 | ±0.61 |
| 7 | 17 | 18 | ±0.00068 | ±0.00068 | ±0.076 |
| 8 | 20 | 20 | ±0.000085 | ±0.00017 | ±0.019 |
As the table shows, when the precision of Geohash coding is 7, its error distance, namely can by particular location accurately in the region of about 76 meters at about 76 meters.And when Geohash coding precision be 8 time, its error distance at about 19 meters, now, can by particular location accurately in the region of about 19 meters.The precision of concrete Geohash coding needs to select according to data cases.
The range of receiving of described end device, can be preset by user oneself, as 500 meters, 1000 meters etc.
Such as, if the range of receiving that user presets is 500 meters, then in conjunction with GeoHash accuracy & error distance collation table, the error distance being a bit larger tham this range of receiving is ± 0.61km, the GeoHash precision of the correspondence chosen is then 6, so, according to GeoHash algorithm and the GeoHash precision chosen, the GeoHash coding calculating the latitude and longitude information of the end device of the user of gained is then the coding of 6 characters.
Step S303, according to GeoHash algorithm and the GeoHash precision chosen, calculates the GeoHash coding of the latitude and longitude information of the end device of described user.
In this step, described GeoHash algorithm is by a latitude and longitude information, converts the computing method of string encoding that can sort, can compare to.
Below with the longitude and latitude of A entity [113.449657,22.534613] for example, introduce described GeoHash algorithm in detail:
First, GeoHash binary coding is calculated.
Terrestrial latitude interval is [-90,90], and the latitude of A entity is 22.534613, can pass through algorithm below and carry out approach coding to latitude 22.534613:
1) interval [-90,90] two are divided into [-90,0), [0,90], are called between left and right region, can determine that 22.534613 belong to right interval [0,90], to being labeled as 1;
2) then interval [0,90] are carried out two being divided into [0,45), [45,90], can determine 22.534613 belong to left interval [0,45), to being labeled as 0;
3) recurrence said process 22.534613 always belongs to certain interval [a, b].Along with between each iterative region, [a, b] is always reducing, and more and more approaches 22.534613;
4) if given latitude x (22.534613) belongs to left interval, then record 0, if belong to right interval, record 1, be 10100000000011001001 along with the carrying out of algorithm can produce a sequence bit like this, the length of sequence is relevant with given interval division number of times.
Terrestrial longitude interval is [-180,180], and the longitude of A entity is 113.449657, and the method for longitude 113.449657 being carried out to approach coding is the same, repeats no more herein.
By above-mentioned calculating, the coding bit latitude of A entity being calculated to rear generation is 10,100 0,000,000,110 01001, and coding bit longitude being calculated to rear generation is 11,010 00,010 10,110 01110.
Secondly, above-mentioned coded strings is carried out group code, during group code, odd bits puts longitude coding successively, and even bit puts latitude coding successively, the coded strings new for 2 string encoding combination producings: 11,100 11,000 00,000 0,100,010,001 11,100 00,111 01001.
Finally, change into character to decimal by 11,100 11,000 00,000 01,000 10,001 11,100 00,111 01001, corresponding generation 28,24,0,8,17,28,7,9, in conjunction with the following decimal system ~ BASE32 coding, (it uses 0-9, b-z (to remove a, i, l again, o) these 32 letters are formed) table of comparisons, the BASE32 coding that character to decimal correspondence generates is exactly WS08JW79.
| The decimal system | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |
| BASE32 | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | B | C | D | E | F | G |
| The decimal system | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 |
| BASE32 | H | J | K | M | N | P | G | R | S | T | U | V | W | X | Y | Z |
That is, the longitude and latitude [113.449657,22.534613] of A entity, the GeoHash generated after GeoHash algorithm calculates is encoded to: WS08JW79.
Step S304, the entity in region representated by this coding of GeoHash coding fast finding generated and/or the relevant information of entity.
In this step, described entity is the object of the transportable and geo-stationary of earth surface, and its relevant information is gathered in advance and is stored in the database of thing connection accommodation platform.
In this step, transportable object mainly refers to car, ship, people, animal or mobile goods; The object of geo-stationary refers to the irremovable objects such as buildings, plant, place, material object.In the present embodiment, the object of the preferred geo-stationary of described entity.
In this step, described relevant information at least comprises entity title, place longitude and latitude, the GeoHash coding converted to according to place longitude and latitude and the sightless information classification label of user.Described information classification label comprises clothing, food, shelter, row, pleasure, purchases six large class tag along sorts, and each seed classification label in six large classes.
In this step, the relevant information of described entity uploads renewal in real time by internet, mobile wireless network.
In this step, described entity can gather the information from external environment condition changes such as weather, region, season, moment, orientation, longitudes and latitudes, also can gather the information of inner space state change simultaneously, the information spinner of this inner space state change will refer to the transformable information data that the inner entity inside such as space, temperature, flow of the people, inner element, inner structure provides, can be uploaded by artificial mode, also can be gathered by intelligent terminal.
Particularly, illustrate, for the longitude and latitude [113.389694 of the B entity collected (large new Xin Douhui), 22.539011] and the longitude and latitude [113.390381 of C entity (Li He square), 22.519173], according to GeoHash algorithm described above, get 10 GeoHash precision convert to corresponding GeoHash encode after, described B entity, C entity and relevant information thereof the storage form of expression in a database can be but be not limited to following form:
WS08HPPG72, large new Xin Douhui, 113.389694,22.539011, No. 1, great Xin South Road, Shi Qi district of Zhongshan city, 076088705388,
WS08H72REQ, Li He square, No. 16, Zhong Shan tri-tunnel, 113.390381,22.519173, Zhong Shanshiqi street, 076088886888,
The GeoHash coding that this step can will generate, compare with gathering in advance and be stored in the top N that GeoHash that thing joins the entity in the database of accommodation platform encodes, thus the relevant information of entity in region representated by this coding of fast finding and/or entity, wherein, described N value equals the coding figure place of the GeoHash coding generated, the coding figure place of the GeoHash coding of the end device namely generated.
This step can according to end device position, centered by end device position, and the entity in the range of receiving of automatic fast finding user setting.
Step S305, calculates the distance between described entity and end device one by one.
In this step, utilize the algorithm asking its arc length between known earth surface 2, carry out the distance between computational entity and end device.
Step S306, compares with the default range of receiving of end device respectively by calculating gained distance.
In this step, the range of receiving of described end device, can be preset by user oneself, as 500 meters, 1000 meters etc.
Step S307, compares with the default scope of release of entity respectively by calculating gained distance.
In this step, the default scope of release of described entity can be 1KM, 5KM or 10KM.
Step S308, according to comparative result, judge the distance between described entity and end device in the default range of receiving of end device and end device be in the default scope of release of entity?
If the judged result of step S308 is yes, flow process enters step S309; Otherwise flow process returns step S301.
Step S309, filters out the entity after the accurate coupling of intersection and relevant information thereof.
In this step, the entity filtered out and relevant information thereof, the distance between its particular location and end device is in the default range of receiving of end device, and end device is also in the default scope of release of the entity filtered out.
Step S310, adopts the mode of getting common factor in set operation, the information after intersection precisely coupling is mated with personalized condition one by one.
In this step, described personalized condition at least comprises individual habit of user or hobby, and it generates according to following methods analyst:
When the relevant information of the different entities that provides of end device access thing connection accommodation platform of user, acquisition terminal device access at every turn access time, information classification label and longitude and latitude;
Access frequency is gone out in a certain period higher than the information classification label of setting value according to the information sifting gathered; And/or
Access times are gone out in the middle of one day higher than the information classification label of setting value according to the information sifting gathered; And/or
Access frequency is gone out in the middle of one day higher than the focus region of setting value according to the information sifting gathered;
Form information classification label and/or the focus region of representative of consumer personal habits or hobby.
Further, the described information sifting according to gathering goes out access frequency in a certain period and, higher than the step of the information classification label of setting value, comprising:
According to 24 hours every days, these 24 periods are concluded in this access of end device;
Calculate the number of times of accessing often kind of information classification label in each period;
Sort by access times, and take out 1 the highest information classification label of access frequency in this period;
Filter operation is carried out to the information classification label taken out, removes the information classification label of access times lower than setting value.
Again further, the described information sifting according to gathering goes out access times in the middle of a day and, higher than the step of the information classification label of setting value, comprising:
Add up the number of times of end device access often kind of information classification label in a day;
Sort by access times, take out 3 information classification labels that in a day, access times are the highest;
Filter operation is carried out to the information classification label taken out, removes the information classification label of access times lower than setting value.
Again further, the described information sifting according to gathering goes out access frequency in the middle of a day and, higher than the step in the focus region of setting value, comprising:
According to the latitude and longitude information gathered, calculate the GeoHash coding of 5 GeoHash accuracy requirements of all information of access in a day;
Count the GeoHash coding that access frequency is the highest;
Carry out filter operation to the GeoHash coding counted, removal frequency is encoded lower than the GeoHash of setting value.
In this step, described personalized condition also can be formed, as the type etc. of the information point of user's sex, age, hobby, concern, the end device of use according to the information of user's active typing.
In this step, described personalized condition also comprises weather, season etc., and it can be formed according to the information of system active acquisition.
Does step S311, judge that the satisfying personalized condition of described entity is no?
If the judged result of step S311 is yes, then flow process enters step S312; Otherwise flow process returns step S301.
Step S312, filters out the entity after personalized precisely coupling and relevant information thereof.
This step can be done further precisely to mate screening to entity and relevant information thereof, makes the efficiency of information pushing higher, and specific aim is stronger, pushes more accurate with mating of reception.
Step S313, sorts to the relevant information of entity.
In this step, during sequence, by the order arrangement near and far of the distance between entity and end device.
Step S314, pushes to end device by the relevant information of entity.
In this step, to the relevant information of entity that end device pushes, can comprise in longitude and latitude, electronic notebook, picture, telephone number, audio frequency and video, microblogging, the COS of entity, preferential activity, grace period section, the new e-file such as cuisine, special price dish one or more.The relevant information being pushed to user according to time, space, orientation, season, moment, weather, environmental change and changing, can obtain according to individual habit of user or hobby the result wanted.
After end device receives relevant information, user can directly with provide the entity of this information to carry out alternately, the aspects such as mutual content includes but not limited to text conversation, voice dialogue, picture, places an order, on-line payment.Also can carry out the transmission of e-file simultaneously, also the position of this entity can directly be checked, and finding this entity according to oneself current position generation navigation way, navigation way can be minimal path, also can be the multiple choices such as recommended route and preferential high speed route.
The embodiment of the present invention, entity in the end device neighboring area that fast finding is arrived and or the relevant information of entity, carry out intersecting after precisely coupling and personalization are precisely mated, again the relevant information of entity is sorted, then automatically end device is pushed to, thus make user without the need to through manual search, also can according to present position whenever and wherever possible high-speed receiving oneself want, the relevant information of the periphery entity of arrangement near and far.Meanwhile, make the efficiency of information pushing higher, specific aim is stronger, pushes more accurate with mating of reception.
Detailed introduction is done to the embodiment of the information-pushing method of thing connection accommodation platform of the present invention above.Below the device corresponding to said method is further elaborated.
Fig. 4 is the structural representation of the first embodiment of the information push-delivery apparatus of thing of the present invention connection accommodation platform, and the information push-delivery apparatus 100 of this thing connection accommodation platform comprises Real-time Collection module 110, modular converter 120, searches module 130, precisely matching module 140 and info push module 150.
Described Real-time Collection module 110, for the latitude and longitude information of the end device of Real-time Collection user.
Described modular converter 120, for converting the GeoHash coding of band geography information index to by the latitude and longitude information of collection.
Describedly search module 130, for the relevant information of encode according to the GeoHash generated entity in region representated by this coding of fast finding and/or entity; Described entity is the object of the transportable and geo-stationary of earth surface, and its relevant information is gathered in advance and is stored in the database of thing connection accommodation platform.
Described accurate matching module 140, for precisely mating described entity with end device.
Described info push module 150, for pushing to end device by the relevant information of entity.
Further, described accurate matching module 140 comprises the accurate matching unit of intersection and/or personalized precisely matching unit.
Again further, described modular converter 120 comprise precision choose unit and coding computing unit.Described precision chooses unit, for the range of receiving of the end device according to user preset, and in conjunction with GeoHash accuracy & error distance collation table, chooses the GeoHash precision corresponding to the error distance being a bit larger tham this range of receiving.Described coding computing unit, for according to GeoHash algorithm and the GeoHash precision chosen, calculates the GeoHash coding of the latitude and longitude information of the end device of described user.
The embodiment of the present invention, by the position of the end device of Real-time Collection module Real-time Collection user, search module according to the entity in the fast finding neighboring area, end device position of user and or the relevant information of entity, accurate matching module precisely mates with end device the entity found out, the relevant information of entity is pushed to end device by info push module automatically, thus make user without the need to through manual search, also can according to the present position relevant information of periphery entity wanted of high-speed receiving oneself whenever and wherever possible.Meanwhile, make the efficiency of information pushing higher, specific aim is stronger, pushes more accurate with mating of reception.
Fig. 5 is the structural representation of the second embodiment of the information push-delivery apparatus of thing of the present invention connection accommodation platform, and the information push-delivery apparatus 200 of this thing connection accommodation platform comprises Real-time Collection module 210, modular converter 220, searches module 230, precisely matching module 240 and info push module 250.
Described Real-time Collection module 210, for the latitude and longitude information of the end device of Real-time Collection user.
Described modular converter 220, for converting the GeoHash coding of band geography information index to by the latitude and longitude information of collection.
Describedly search module 230, for the relevant information of encode according to the GeoHash generated entity in region representated by this coding of fast finding and/or entity; Described entity is the object of the transportable and geo-stationary of earth surface, and its relevant information is gathered in advance and is stored in the database of thing connection accommodation platform.
Described accurate matching module 240, for precisely mating described entity with end device.
Described info push module 250, for pushing to end device by the relevant information of entity.
Further, described accurate matching module 240 comprises the accurate matching unit 241 of intersection and/or personalized precisely matching unit 242.
The accurate matching unit 241 of described intersection, precisely mate for described entity and end device being carried out intersecting, it comprises:
Distance computation subunit 2411, for calculating the distance between described entity and end device one by one.
First compares subelement 2412, for calculating gained distance being compared with the default range of receiving of end device respectively.
Second compares subelement 2413, for calculating gained distance being compared with the default scope of release of entity respectively.
Precisely coupling of intersecting screens subelement 2414, for the distance between described entity and end device in the default range of receiving of end device and end device is in the default scope of release of entity time, filter out and intersect the entity after accurate coupling and relevant information thereof.
The accurate matching unit 242 of described personalization, precisely mate for described entity and end device are carried out personalization, it comprises:
Mating subelement 2421 one by one, for adopting in set operation the mode of getting common factor, the information after intersection precisely coupling being mated with personalized condition one by one.
Screening subelement 2422, for when the satisfying personalized condition of described entity, filters out the entity after personalized precisely coupling and relevant information thereof.
Again further, described modular converter 220 comprise precision choose unit and coding computing unit.Described precision chooses unit, for the range of receiving of the end device according to user preset, and in conjunction with GeoHash accuracy & error distance collation table, chooses the GeoHash precision corresponding to the error distance being a bit larger tham this range of receiving.Described coding computing unit, for according to GeoHash algorithm and the GeoHash precision chosen, calculates the GeoHash coding of the latitude and longitude information of the end device of described user.
The embodiment of the present invention, entity in the end device neighboring area that fast finding is arrived and or the relevant information of entity, carry out intersecting after precisely coupling and personalization are precisely mated, the relevant information of entity is pushed to end device automatically, thus make user without the need to through manual search, also can according to the present position relevant information of periphery entity wanted of high-speed receiving oneself whenever and wherever possible.Meanwhile, make the efficiency of information pushing higher, specific aim is stronger, pushes more accurate with mating of reception.
Fig. 6 is the structural representation of the 3rd embodiment of the information push-delivery apparatus of thing of the present invention connection accommodation platform, and the information push-delivery apparatus 300 of this thing connection accommodation platform comprises Real-time Collection module 310, modular converter 320, searches module 330, precisely matching module 340, order module 350 and info push module 360.
Described Real-time Collection module 310, for the latitude and longitude information of the end device of Real-time Collection user.
Described modular converter 320, for converting the GeoHash coding of band geography information index to by the latitude and longitude information of collection.
Describedly search module 330, for the relevant information of encode according to the GeoHash generated entity in region representated by this coding of fast finding and/or entity; Described entity is the object of the transportable and geo-stationary of earth surface, and its relevant information is gathered in advance and is stored in the database of thing connection accommodation platform.
Described accurate matching module 340, for precisely mating described entity with end device.
Described order module 350, for sorting to the relevant information of entity, its ordering rule is by the order arrangement near and far of the distance between entity and end device.
Described info push module 360, for pushing to end device by the relevant information of entity.
Further, described accurate matching module 340 comprises the accurate matching unit 341 of intersection and/or personalized precisely matching unit 342.
The accurate matching unit 341 of described intersection, precisely mate for described entity and end device being carried out intersecting, it comprises:
Distance computation subunit 3411, for calculating the distance between described entity and end device one by one.
First compares subelement 3412, for calculating gained distance being compared with the default range of receiving of end device respectively.
Second compares subelement 3413, for calculating gained distance being compared with the default scope of release of entity respectively.
Precisely coupling of intersecting screens subelement 3414, for the distance between described entity and end device in the default range of receiving of end device and end device is in the default scope of release of entity time, filter out and intersect the entity after accurate coupling and relevant information thereof.
The accurate matching unit 342 of described personalization, precisely mate for described entity and end device are carried out personalization, it comprises:
Mating subelement 3421 one by one, for adopting in set operation the mode of getting common factor, the information after intersection precisely coupling being mated with personalized condition one by one.
Screening subelement 3422, for when the satisfying personalized condition of described entity, filters out the entity after personalized precisely coupling and relevant information thereof.
Again further, described modular converter 320 comprises precision and chooses unit 321 and coding computing unit 322.
Described precision chooses unit 321, for the range of receiving of the end device according to user preset, and in conjunction with GeoHash accuracy & error distance collation table, chooses the GeoHash precision corresponding to the error distance being a bit larger tham this range of receiving.
Described coding computing unit 322, for according to GeoHash algorithm and the GeoHash precision chosen, calculates the GeoHash coding of the latitude and longitude information of the end device of described user.
The embodiment of the present invention, entity in the end device neighboring area that fast finding is arrived and or the relevant information of entity, carry out intersecting after precisely coupling and personalization are precisely mated, again the relevant information of entity is sorted, then automatically end device is pushed to, thus make user without the need to through manual search, also can according to present position whenever and wherever possible high-speed receiving oneself want, the relevant information of the periphery entity of arrangement near and far.Meanwhile, make the efficiency of information pushing higher, specific aim is stronger, pushes more accurate with mating of reception.
Be one or more embodiments provided in conjunction with particular content as mentioned above, do not assert that specific embodiment of the invention is confined to these explanations.Method all and of the present invention, structure etc. are approximate, identical, or for making some technology deduction or replace under concept thereof of the present invention, all should be considered as protection scope of the present invention.
Claims (10)
1. an information-pushing method for thing connection accommodation platform, is characterized in that comprising:
The latitude and longitude information of the end device of Real-time Collection user;
The latitude and longitude information of collection is converted to the GeoHash coding of band geography information index;
Entity in region representated by this coding of GeoHash coding fast finding generated and/or the relevant information of entity; Described entity and relevant information thereof are gathered in advance and are stored in the database of thing connection accommodation platform;
Described entity is precisely mated with end device;
The relevant information of entity is pushed to end device.
2. the information-pushing method of thing connection accommodation platform according to claim 1, it is characterized in that, described step of described entity and end device being carried out precisely mate, comprising: described entity and end device are carried out intersecting and precisely mate, this step comprises:
Calculate the distance between described entity and end device one by one;
Calculating gained distance is compared with the default range of receiving of end device respectively;
Calculating gained distance is compared with the default scope of release of entity respectively;
If the distance between described entity and end device is in the default range of receiving of end device, and end device is in the default scope of release of entity, then filter out the entity after the accurate coupling of intersection and relevant information thereof.
3. the information-pushing method of thing connection accommodation platform according to claim 2, it is characterized in that, described step of described entity and end device being carried out precisely mate, comprising: described entity and end device are carried out personalization and precisely mates, this step comprises:
Adopt the mode of getting common factor in set operation, the information after intersection precisely coupling is mated with personalized condition one by one;
If the satisfying personalized condition of described entity, then filter out the entity after personalized precisely coupling and relevant information thereof.
4. the information-pushing method of the thing connection accommodation platform according to claim 1,2 or 3, is characterized in that, the described latitude and longitude information by collection converts the step of the GeoHash coding of band geography information index to, comprising:
According to the range of receiving of the end device of user preset, and in conjunction with GeoHash accuracy & error distance collation table, choose the GeoHash precision corresponding to the error distance being a bit larger tham this range of receiving;
According to GeoHash algorithm and the GeoHash precision chosen, calculate the GeoHash coding of the latitude and longitude information of the end device of described user.
5. the information-pushing method of the thing connection accommodation platform according to claim 1,2 or 3, is characterized in that, described described entity and end device are carried out accurate step of mating after, also comprise:
Sort to the relevant information of entity, its ordering rule is by the order arrangement near and far of the distance between entity and end device.
6. an information push-delivery apparatus for thing connection accommodation platform, is characterized in that comprising,
Real-time Collection module, for the latitude and longitude information of the end device of Real-time Collection user;
Modular converter, for converting the GeoHash coding of band geography information index to by the latitude and longitude information of collection;
Search module, for the relevant information of encode according to the GeoHash generated entity in region representated by fast finding this coding and/or entity; Described entity and relevant information thereof are gathered in advance and are stored in the database of thing connection accommodation platform;
Accurate matching module, for precisely mating described entity with end device;
Info push module, for pushing to end device by the relevant information of entity.
7. the information push-delivery apparatus of thing connection accommodation platform according to claim 6, it is characterized in that, described accurate matching module comprises the accurate matching unit of intersection, and the accurate matching unit of this intersection is used for described entity and end device to carry out intersecting precisely to mate, and it comprises:
Distance computation subunit, for calculating the distance between described entity and end device one by one;
First compares subelement, for calculating gained distance being compared with the default range of receiving of end device respectively;
Second compares subelement, for calculating gained distance being compared with the default scope of release of entity respectively;
Precisely coupling of intersecting screens subelement, for the distance between described entity and end device in the default range of receiving of end device and end device is in the default scope of release of entity time, filter out and intersect the entity after accurate coupling and relevant information thereof.
8. the information push-delivery apparatus of thing connection accommodation platform according to claim 7, it is characterized in that, described accurate matching module comprises personalized precisely matching unit, and this personalization precisely matching unit is precisely mated for described entity and end device are carried out personalization, and it comprises:
Mating subelement one by one, for adopting in set operation the mode of getting common factor, the information after intersection precisely coupling being mated with personalized condition one by one;
Screening subelement, for when the satisfying personalized condition of described entity, filters out the entity after personalized precisely coupling and relevant information thereof.
9. the information push-delivery apparatus of the thing connection accommodation platform according to claim 6,7 or 8, it is characterized in that, described modular converter comprises:
Precision chooses unit, for the range of receiving of the end device according to user preset, and in conjunction with GeoHash accuracy & error distance collation table, chooses the GeoHash precision corresponding to the error distance being a bit larger tham this range of receiving;
Coding computing unit, for according to GeoHash algorithm and the GeoHash precision chosen, calculates the GeoHash coding of the latitude and longitude information of the end device of described user.
10. the information push-delivery apparatus of the thing connection accommodation platform according to claim 6,7 or 8, it is characterized in that, also comprise order module, for sorting to the relevant information of entity, its ordering rule is by the order arrangement near and far of the distance between entity and end device.
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| CN201510244250.4A CN104809241A (en) | 2015-05-13 | 2015-05-13 | Information pushing method and device for internet-of-things accommodation platform |
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| CN106407213A (en) * | 2015-07-31 | 2017-02-15 | 阿里巴巴集团控股有限公司 | Geographic position-based information retrieval method, device and system |
| CN106407213B (en) * | 2015-07-31 | 2020-03-10 | 阿里巴巴集团控股有限公司 | Information retrieval method, device and system based on geographic position |
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| CN106251164A (en) * | 2016-03-21 | 2016-12-21 | 上海驴徒电子商务有限公司 | Method and system are recommended at a kind of scenic spot |
| CN107194744A (en) * | 2017-06-21 | 2017-09-22 | 微梦创科网络科技（中国）有限公司 | A kind of method and device for determining user place commercial circle |
| CN108093366A (en) * | 2017-12-21 | 2018-05-29 | 浙江维思无线网络技术有限公司 | A kind of geography information sending method and device |
| CN108093366B (en) * | 2017-12-21 | 2021-02-19 | 浙江维思无线网络技术有限公司 | Geographic information sending method and device |
| CN110059260A (en) * | 2019-04-29 | 2019-07-26 | 北京字节跳动网络技术有限公司 | A kind of recommended method, device, equipment and medium |
| WO2020220778A1 (en) * | 2019-04-29 | 2020-11-05 | 北京字节跳动网络技术有限公司 | Recommendation method and apparatus, device, and medium |
| WO2020244601A1 (en) * | 2019-06-07 | 2020-12-10 | Beijing Didi Infinity Technology And Development Co., Ltd. | Estimating passenger income level on a ridesharing platform |
| CN110765222A (en) * | 2019-10-24 | 2020-02-07 | 成都路行通信息技术有限公司 | Interest point self-driving heat degree calculation method and platform based on Geohash codes |
| CN110765222B (en) * | 2019-10-24 | 2022-04-19 | 成都路行通信息技术有限公司 | Interest point self-driving heat degree calculation method and platform based on Geohash codes |
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