CN107153886A - A kind of customer's localization method for market layout optimization - Google Patents
A kind of customer's localization method for market layout optimization Download PDFInfo
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- CN107153886A CN107153886A CN201710208897.0A CN201710208897A CN107153886A CN 107153886 A CN107153886 A CN 107153886A CN 201710208897 A CN201710208897 A CN 201710208897A CN 107153886 A CN107153886 A CN 107153886A
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Abstract
The invention provides a kind of customer's localization method for market layout optimization, comprise the following steps：S1, obtain position of the current customer in market in real time by LoRa location equipments, LoRa location equipments are installed on mobile shopping apparatus, multiple LoRa gateways are laid out in market, each LoRa gateways periodically broadcast beacon, LoRa location equipment periodic receipt beacons, and the RSSI of each LoRa gateways of the beacon received is sent to LoRa gateways, RSSI when receiving this data is sent to LoRa servers by LoRa gateways after LoRa location equipment data are received.The beneficial effects of the invention are as follows：The current position in supermarket or market of customer can be obtained in real time, so as to be optimized to market layout.
Description
Technical field
The present invention relates to Lora localization methods, more particularly to a kind of customer's localization method for market layout optimization.
Background technology
Existing market (store refers to all medium-and-large-sized shopping places in the present invention) can be adjusted to lift its turnover
Factor have：The species of commodity, commodity price, commodity are put, but lack two dimensions all the time：Customer it is current in supermarket or
Position and concern time of the customer in purchasing process to each local product in market, therefore be difficult the following problem of processing：
1st, most of store some region crowd is very crowded, and but few people go in other region, currently can not
Quantify these information and effectively adjusted.
If the 2, some commodity sales states are not good, not necessarily competitiveness of these products itself is poor, but does not put
Put in place, how to quantify the time that these products are concerned turns into a problem.
3rd, because being not concerned with this dimension of time, it can not also know that the unit of customer's product from beginning to focus on to buying is closed
The note time sells transformation ratio.
The content of the invention
In order to solve the problems of the prior art, the invention provides a kind of customer positioning side for market layout optimization
Method.
The invention provides a kind of customer's localization method for market layout optimization, comprise the following steps：S1, pass through
LoRa location equipments obtain position of the current customer in market in real time, and LoRa location equipments are installed into mobile shopping apparatus
On, multiple LoRa gateways are laid out in market, each LoRa gateways periodically broadcast beacon, and LoRa location equipments periodically connect
Collect mail and mark, and the RSSI of each LoRa gateways of the beacon received is sent to LoRa gateways, LoRa gateways are being received
RSSI when receiving this data is sent to LoRa servers after LoRa location equipment data, LoRa servers are fixed according to LoRa
Between position equipment and each LoRa gateways the RSSI of uplink and downlink calculate this LoRa location equipment and each LoRa gateways it
Between distance, because the position of each LoRa gateways is fixed, and LoRa servers know their position, therefore can be with
The position of this LoRa location equipment is calculated according to the RSSI of multiple spot, so as to obtain position of the current customer in market.
Step S1 includes：
When LoRa servers get some LoRa location equipment of synchronization and the distance of 3 or more LoRa gateways
When, it is possible to obtain multigroup equation group, it is assumed that the coordinate of these LoRa gateways is (x1,y1),(x2,y2),(x3,y3)...(xk,
yk), and unknown LoRa location equipments to be positioned are M, M coordinates are (x, y), M to each known location LoRa gateways distance point
Wei not d1, d2, d3...dk, then below equation group can be set up:
Since first equation, last equation is individually subtracted and obtains：
Being rewritten as system of linear equations is：
Az=b
Wherein：
Due to there is error N in measurement process, it can be obtained using principle of least square method：
Q (z)=| | b-Az | |2
Z derivations are obtained：
If AATIt is nonsingular, then
Z=(ATA)-1ATb
LoRa location equipment coordinates (x, y) can then be obtained.
When as a further improvement on the present invention, in step sl, by entering store in swipe LoRa location equipments
The condition that RFID or Quick Response Code start as real-time positioning, when customer settles accounts in store, this LoRa of swipe is positioned again
The RFID or Quick Response Code of equipment, in real time positioning terminate.
As a further improvement on the present invention, in addition to step S2, obtain customer a certain local product region be resident
Time.
As a further improvement on the present invention, step S2 includes：
Motion track of the LoRa location equipments in whole shopping process can be obtained by step S1, is set according to LoRa positioning
Standby position fixing process, is sampled in time, obtains customer in the residence time in each region, customer is for some product at certain
The unit interval in individual region sells the index I of transformation ratio：
Ix=N/T
Wherein x is the numbering in a region, and N is buys the quantity of this product, to the total of this region when T is this product of purchase
The concern time；
If going to observe unit interval sale turn of some commodity in some region according to the yardstick such as one day, one week or 1 year
Change the index I of ratio：
Transformation ratio is sold according to the unit interval, product layout is carried out.
The beneficial effects of the invention are as follows：The current position in supermarket or market of customer can be obtained in real time, so as to business
Field layout is optimized.
Brief description of the drawings
Fig. 1 is a kind of positioning schematic diagram of customer's localization method for market layout optimization of the invention.
Fig. 2 is a kind of state switching of the Lora location equipments of customer's localization method for market layout optimization of the invention
Flow chart.
Fig. 3 is a kind of movement of some Lora location equipment of customer's localization method for market layout optimization of the invention
Trajectory diagram.
Fig. 4 is a kind of stop of some Lora location equipment of customer's localization method for market layout optimization of the invention
Time diagram.
Fig. 5 be a kind of customer's localization method for market layout optimization of the invention to the regulation of some product parameters and instead
Present schematic diagram.
Fig. 6 is the path congestion signal of some period of customer's localization method for market layout optimization of the invention a kind of
Figure.
Embodiment
The invention will be further described for explanation and embodiment below in conjunction with the accompanying drawings.
As shown in Figures 1 to 6, a kind of customer's localization method for market layout optimization, will using Lora localization methods
LoRa location equipments are put into shopping cart, shopping basket, purchase card etc. can be with mobile purchase simultaneously mobile in consumer's shopping process
Thing equipment, the characteristics of positioning using Lora low-power consumption, long range and be inexpensive.Time-out or market can be made to obtain what is never had
Two class important informations：
1. position of the current customer in market is obtained in real time.
2. consumer is obtained in the concern time (region residence time) to a certain local product.
This two category information can be solved：
1st, the congestion level of some regions is reduced in the case of total volume of the flow of passengers is identical or increased；
2nd, a reason for product sales volume is not good is judged, the reasonable disposition of resource can be reached with two information of user.
3rd, while getting up by way of mobile phone barcode scanning with the binding of LoRa location equipments, realize that the shopping to consumer is drawn
Lead.
Ceiling such as in large-scale store places LoRa gateways, and is connected to store computer room by a net
LoRa servers, LoRa locators are contained in each shopping cart and shopping basket.Every consumer holds shopping basket or purchase
It is that can scan shopping cart or shopping basket enabling that thing car, which enters store entrance gate, and consumer can also be scanned simultaneously starts navigation
Shopping guide's pattern.Scan shopping cart or shopping basket simultaneously when consumer settles accounts simultaneously equipped with scanning device, realize this in cashier counter
LoRa locators are corresponding with the data for consuming inventory.Store can be according to these data point reuses this product position, price etc.
Factor obtains bigger profit, and the consumer is obtained more preferable consumption experience.
Each LoRa gateways can periodically broadcast beacon, LoRa location equipments meeting periodic receipt beacon, and be connect
(Received Signal Strength Indication, the signal of reception is strong by the RSSI of each LoRa gateways of beacon received
Degree is indicated) LoRa gateways are sent to, when LoRa gateways can will receive this data after LoRa location equipment data are received
RSSI is sent to server, and LoRa servers are according to the RSSI of uplink and downlink between LoRa location equipments and each LoRa gateways
Calculate the distance between this LoRa location equipment and each LoRa gateways, due to the position of each LoRa gateways be it is fixed,
And LoRa servers know their position, therefore the position of this LoRa location equipment can be calculated according to the RSSI of multiple spot
Put.Least square method is used in the present invention：
When LoRa servers get some LoRa location equipment of synchronization and 3 or more LoRa gateways apart from when
(see Fig. 1), so that it may to obtain multigroup equation group.Assuming that the coordinate of these LoRa gateways is (x1,y1),(x2,y2),(x3,y3)...
(xk,yk), and unknown terminal M coordinates to be positioned are (x, y), M to each known location AP distance is respectively d1, d2, d3...dk,
Below equation group can then be set up:
Since first equation, last equation is individually subtracted and obtains：
Being rewritten as system of linear equations is：
Az=b
Wherein：
Due to there is error N in measurement process, it can be obtained using principle of least square method：
Q (z)=| | b-Az | |2
Z derivations are obtained：
If AATIt is nonsingular, then
Z=(ATA)-1ATb
LoRa location equipment coordinates (x, y) can then be obtained.
LoRa servers can obtain some LoRa location equipment by the data format in table 1 from some LoRa gateway
Location information.Synchronization has 3 or more the location informations for being directed to same LoRa location equipments, just can utilize above-mentioned public affairs
Formula calculates the coordinate of this LoRa location equipment.
When LoRa location equipments initially enter store, positioning starts in real time, it is known that carries this LoRa location equipment and completes purchase
Buy.At this moment the condition that RFID or two bit codes when can be by entering store on swipe locator start as real-time positioning,
When customer RFID or Quick Response Code of this LoRa location equipment of swipe again when store is settled accounts, positioning in real time terminates.This
Sample can improve the service life of battery in LoRa location equipments, and can be from the bandwidth occupancies of overall reduction LoRa networks.
The state switching flow of LoRa location equipments is shown in Fig. 2.
Consumer do shopping during, due to its carrying LoRa location equipments in real-time working, therefore can obtain its
Motion track (such as Fig. 3) in whole shopping process.And can according in LoRa location equipment position fixing process in time
Sampling, obtain consumer each region residence time (such as Fig. 4).According to the purchase data of this consumer (during checkout
Data, such as table 2), the purchase of this in traditional approach data can be recorded in the database in store.Because LoRa location equipments are real-time
Positioning the data (such as table 3) obtained can be mapped with this purchase data, and two relation datas can be obtained after merging
Go out new data (such as table 4).New data reflect the product which region this consumer has seen in store, have paid close attention to many
The long time, finally whether buy, purchased if purchase, which have purchased, bought how many respectively.Eventually produce this Gu
Visitor sells the index I of transformation ratio the unit interval for some product in some region：
Ix=N/T
Wherein x is the numbering in a region, and N is buys the quantity of this product, to the total of this region when T is this product of purchase
The concern time.
If going to observe unit interval sale turn of some commodity in some region according to the yardstick such as one day, one week or 1 year
Change the index I of ratio：
Transformation ratio is sold according to the unit interval, store can rationally carry out product layout.
Purchase decision can be quickly done it is contemplated that being placed on the big region of flow of the people if some product is consumer,
If some product, which needs consumer's words more time to do purchase decision, can place it in the rare place of flow of the people.
The factor of influence single product sales volume has：Price, pay close attention to product in this sales region time, this sales region
Species and other factors.
Some product sales volume C model is：
C=a × P+b × T+c × K+d × O
Wherein P is the price of this product, and T is the average time that consumer pays close attention to such product, and K is product in this region
Species, O is other factors (being probably the factors such as the environment in this region).A, b, c, d are this corresponding coefficient of four parameters.
So market can obtain this 4 coefficients according to own situation, with adjust some product sales volume can pass through adjust
Four parameters (such as Fig. 5) more than saving.
According to the data of all LoRa location equipments in market, while it is known that store certain time regional
Congestion, can reduce the jam situation of subregion by adjusting the layout of product, improve sales volume and the user in market
Experience.
, just can be by the hand of response in addition, if RFID or Quick Response Code of the consumer by mobile phone swipe locator
Machine App is navigated and shopping guide for this consumer, and effectively avoids congestion regions.
The LoRa servers of table 1 receive the location information on some LoRa locator of some gateway
Table 2 carries the customer purchase inventory of xxx LoRa trackers
| Resident shelf | Residence time (minute) |
| Cosmetics shelf 1 | 30 |
| Fresh shelf 2 | 20 |
| Grain and oil shelf 5 | 17 |
| Grain and oil shelf 4 | 15 |
| Fresh shelf 8 | 15 |
| Cleaning supplies shelf 3 | 10 |
| Beer shelf 3 | 3 |
Table 3 carries the customer purchase residence time of xxx LoRa trackers
The cosmetics shelf 1 of table 4 are converted and residence time for carrying the customer sales of xxx LoRa trackers
A kind of customer's localization method for market layout optimization that the present invention is provided has advantages below：
1. reducing the congestion in market or time-out, consumer is set to obtain more preferable purchase experiences.
2. market is more reasonably configured its resource, to obtain higher profit.
If 3. some region unit residence time sale transformation ratio it is low, but for some reason these commodity again not
It can be removed, then in this region developing some value-added services such as delivering advertisement there is provided related service.
Above content is to combine specific preferred embodiment further description made for the present invention, it is impossible to assert
The specific implementation of the present invention is confined to these explanations.For general technical staff of the technical field of the invention,
On the premise of not departing from present inventive concept, some simple deduction or replace can also be made, should all be considered as belonging to the present invention's
Protection domain.
Claims (5)
1. a kind of customer's localization method for market layout optimization, it is characterised in that comprise the following steps：S1, pass through LoRa
Location equipment obtains position of the current customer in market in real time, and LoRa location equipments are installed on mobile shopping apparatus,
Multiple LoRa gateways are laid out in market, each LoRa gateways periodically broadcast beacon, LoRa location equipments periodic receipt letter
Mark, and the RSSI of each LoRa gateways of the beacon received is sent to LoRa gateways, LoRa gateways are determined receiving LoRa
RSSI when receiving this data is sent to LoRa servers after the device data of position, LoRa servers are according to LoRa location equipments
Between each LoRa gateways the RSSI of uplink and downlink calculate between this LoRa location equipment and each LoRa gateways away from
From because the position of each LoRa gateways is fixed, and LoRa servers know their position, therefore can be according to many
The RSSI of point calculates the position of this LoRa location equipment, so as to obtain position of the current customer in market.
2. customer's localization method according to claim 1 for market layout optimization, it is characterised in that：
Step S1 includes：
When LoRa servers get some LoRa location equipment of synchronization and 3 or more LoRa gateways apart from when, just
Multigroup equation group can be obtained, it is assumed that the coordinate of these LoRa gateways is (x1,y1),(x2,y2),(x3,y3)...(xk,yk), and
Unknown LoRa location equipments to be positioned are M, and M coordinates are (x, y), and the distance of M to each known location LoRa gateways is respectively d1,
d2, d3...dk, then below equation group can be set up:
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<mi>k</mi>
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<mn>2</mn>
</msup>
<mo>+</mo>
<msup>
<msub>
<mi>d</mi>
<mi>k</mi>
</msub>
<mn>2</mn>
</msup>
<mo>-</mo>
<msup>
<msub>
<mi>d</mi>
<mn>1</mn>
</msub>
<mn>2</mn>
</msup>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>...</mo>
</mtd>
</mtr>
<mtr>
<mtd>
<msup>
<msub>
<mi>x</mi>
<mrow>
<mi>k</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msub>
<mn>2</mn>
</msup>
<mo>-</mo>
<msup>
<msub>
<mi>x</mi>
<mi>k</mi>
</msub>
<mn>2</mn>
</msup>
<mo>+</mo>
<msup>
<msub>
<mi>y</mi>
<mrow>
<mi>k</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msub>
<mn>2</mn>
</msup>
<mo>-</mo>
<msup>
<msub>
<mi>y</mi>
<mi>k</mi>
</msub>
<mn>2</mn>
</msup>
<mo>+</mo>
<msup>
<msub>
<mi>d</mi>
<mi>k</mi>
</msub>
<mn>2</mn>
</msup>
<mo>-</mo>
<msup>
<msub>
<mi>d</mi>
<mrow>
<mi>k</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msub>
<mn>2</mn>
</msup>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
<mrow>
<mi>z</mi>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mi>x</mi>
</mtd>
</mtr>
<mtr>
<mtd>
<mi>y</mi>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
Due to there is error N in measurement process, it can be obtained using principle of least square method：
Q (z)=| | b-Az | |2
Z derivations are obtained：
<mrow>
<mfrac>
<mrow>
<mi>d</mi>
<mi>Q</mi>
<mrow>
<mo>(</mo>
<mi>z</mi>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mi>d</mi>
<mi>z</mi>
</mrow>
</mfrac>
<mo>=</mo>
<mn>2</mn>
<msup>
<mi>A</mi>
<mi>T</mi>
</msup>
<mi>A</mi>
<mi>z</mi>
<mo>-</mo>
<mn>2</mn>
<msup>
<mi>A</mi>
<mi>T</mi>
</msup>
<mi>b</mi>
</mrow>
If AATIt is nonsingular, then
Z=(ATA)-1ATb
LoRa location equipment coordinates (x, y) can then be obtained.
3. customer's localization method according to claim 1 for market layout optimization, it is characterised in that：In step S1
In, the condition that RFID or Quick Response Code during by entering store in swipe LoRa location equipments start as real-time positioning, directly
When being settled accounts to customer in store, the RFID or Quick Response Code of this LoRa location equipment of swipe, position terminate in real time again.
4. customer's localization method according to claim 1 for market layout optimization, it is characterised in that：Also include step
S2, obtain customer a certain local product region residence time.
5. customer's localization method according to claim 4 for market layout optimization, it is characterised in that：Step S2 bags
Include：
Motion track of the LoRa location equipments in whole shopping process can be obtained by step S1, according to LoRa location equipments
Position fixing process, is sampled in time, obtains customer in the residence time in each region, customer is for some product in some area
The unit interval in domain sells the index I of transformation ratio：
Ix=N/T
Wherein x is the numbering in a region, and N is buys the quantity of this product, and T is total concern to this region when buying this product
Time；
If going to observe unit interval sale transformation ratio of some commodity in some region according to the yardstick such as one day, one week or 1 year
Index I：
<mrow>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>t</mi>
<mo>=</mo>
<mi>s</mi>
</mrow>
<mi>e</mi>
</munderover>
<msub>
<mi>I</mi>
<mi>x</mi>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<msubsup>
<mo>&Sigma;</mo>
<mrow>
<mi>t</mi>
<mo>=</mo>
<mi>s</mi>
</mrow>
<mi>e</mi>
</msubsup>
<mi>N</mi>
</mrow>
<mrow>
<msubsup>
<mo>&Sigma;</mo>
<mrow>
<mi>t</mi>
<mo>=</mo>
<mi>s</mi>
</mrow>
<mi>e</mi>
</msubsup>
<mi>T</mi>
</mrow>
</mfrac>
</mrow>
Transformation ratio is sold according to the unit interval, product layout is carried out.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107633432A (en) * | 2017-09-22 | 2018-01-26 | 胡雷刚 | A kind of customer purchase process tracking method and its system |
| CN107835526A (en) * | 2017-10-13 | 2018-03-23 | 中兴克拉科技（苏州）有限公司 | A kind of LPWAN high-precision locating method |
| CN108174443A (en) * | 2018-01-24 | 2018-06-15 | 电子科技大学 | LoRa localization methods based on beaconing nodes auxiliary |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101639922A (en) * | 2008-07-31 | 2010-02-03 | Nec九州软件株式会社 | System and method for guest path analysis |
| CN103929807A (en) * | 2014-04-28 | 2014-07-16 | 上海和视环境艺术工程有限公司 | Method for precisely positioning device coordinate based on low power consumption |
| CN104036411A (en) * | 2013-11-22 | 2014-09-10 | 绿泰信息科技(上海)有限公司 | WIFI device positioning tracking system and method |
| CN104182881A (en) * | 2014-07-22 | 2014-12-03 | 诚迈科技（南京）股份有限公司 | Supermarket intelligent shopping guide system based on WIFI indoor positioning and positioning method |
| CN104820935A (en) * | 2015-03-18 | 2015-08-05 | 陈远春 | Guide method for shopping in mall based on indoor positioning |
| CN105469166A (en) * | 2015-12-30 | 2016-04-06 | 西安理工大学 | Supermarket shopping guide system based on wifi indoor positioning technology |
| CN105486303A (en) * | 2015-12-08 | 2016-04-13 | 广东顺德中山大学卡内基梅隆大学国际联合研究院 | Shopping mall guide and fire-fighting assist system based on optimized indoor location algorithm |
-
2017
- 2017-03-31 CN CN201710208897.0A patent/CN107153886A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101639922A (en) * | 2008-07-31 | 2010-02-03 | Nec九州软件株式会社 | System and method for guest path analysis |
| CN104036411A (en) * | 2013-11-22 | 2014-09-10 | 绿泰信息科技(上海)有限公司 | WIFI device positioning tracking system and method |
| CN103929807A (en) * | 2014-04-28 | 2014-07-16 | 上海和视环境艺术工程有限公司 | Method for precisely positioning device coordinate based on low power consumption |
| CN104182881A (en) * | 2014-07-22 | 2014-12-03 | 诚迈科技（南京）股份有限公司 | Supermarket intelligent shopping guide system based on WIFI indoor positioning and positioning method |
| CN104820935A (en) * | 2015-03-18 | 2015-08-05 | 陈远春 | Guide method for shopping in mall based on indoor positioning |
| CN105486303A (en) * | 2015-12-08 | 2016-04-13 | 广东顺德中山大学卡内基梅隆大学国际联合研究院 | Shopping mall guide and fire-fighting assist system based on optimized indoor location algorithm |
| CN105469166A (en) * | 2015-12-30 | 2016-04-06 | 西安理工大学 | Supermarket shopping guide system based on wifi indoor positioning technology |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107633432A (en) * | 2017-09-22 | 2018-01-26 | 胡雷刚 | A kind of customer purchase process tracking method and its system |
| CN107835526A (en) * | 2017-10-13 | 2018-03-23 | 中兴克拉科技（苏州）有限公司 | A kind of LPWAN high-precision locating method |
| CN109803227A (en) * | 2017-11-16 | 2019-05-24 | 财团法人资讯工业策进会 | Low-power consumption wide area network system and its localization method |
| CN108174443A (en) * | 2018-01-24 | 2018-06-15 | 电子科技大学 | LoRa localization methods based on beaconing nodes auxiliary |
| CN108872936A (en) * | 2018-04-24 | 2018-11-23 | 长沙学院 | A kind of terminal device three dimension location method based on LoRa |
| CN108681918A (en) * | 2018-05-07 | 2018-10-19 | 北京学之途网络科技有限公司 | Obtain the methods, devices and systems of customer's stay time and Sales Volume of Commodity relationship |
| CN109101900A (en) * | 2018-07-23 | 2018-12-28 | 北京旷视科技有限公司 | A kind of the determination method, apparatus and electronic equipment of object distribution information |
| CN109101900B (en) * | 2018-07-23 | 2021-10-01 | 北京旷视科技有限公司 | Method and device for determining object distribution information and electronic equipment |
| WO2020019964A1 (en) * | 2018-07-24 | 2020-01-30 | 阿里巴巴集团控股有限公司 | Wake-up method and apparatus, information pushing method and apparatus, and computing device and storage medium |
| TWI717732B (en) * | 2018-07-24 | 2021-02-01 | 開曼群島商創新先進技術有限公司 | Awakening, information pushing method and device, computing equipment and storage medium |
| CN109089209A (en) * | 2018-08-20 | 2018-12-25 | 湖北工业大学 | A kind of indoor positioning big data analysis system and method based on RFID technique |
| CN109089209B (en) * | 2018-08-20 | 2020-06-09 | 湖北工业大学 | Indoor positioning big data analysis system and method based on RFID technology |
| CN109286895A (en) * | 2018-11-30 | 2019-01-29 | 北斗天地股份有限公司山东分公司 | A kind of mine positioning system |
| CN110933595A (en) * | 2019-11-18 | 2020-03-27 | 太原爱欧体科技有限公司 | Pasture livestock positioning method and system based on LoRa technology |
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