CN110996256A - Market assistant decision-making method and system based on price tags and base station - Google Patents

Market assistant decision-making method and system based on price tags and base station Download PDF

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Publication number
CN110996256A
CN110996256A CN201911086198.9A CN201911086198A CN110996256A CN 110996256 A CN110996256 A CN 110996256A CN 201911086198 A CN201911086198 A CN 201911086198A CN 110996256 A CN110996256 A CN 110996256A
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China
Prior art keywords
price tag
base station
price
user
market
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CN201911086198.9A
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Chinese (zh)
Inventor
徐英敏
钟小强
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Hangzhou Zhikong Network Co ltd
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Hangzhou Zhikong Network Co ltd
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Priority to CN201911086198.9A priority Critical patent/CN110996256A/en
Publication of CN110996256A publication Critical patent/CN110996256A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/021Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/024Guidance services
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/33Services specially adapted for particular environments, situations or purposes for indoor environments, e.g. buildings

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Navigation (AREA)

Abstract

The invention discloses a price tag and base station-based shopping mall decision-making assisting method and a system thereof. The market assistant decision-making method based on price tags and the base station comprises the following steps: step S1: each price tag broadcasts a price tag signal for uniquely representing the identity of the price tag according to a preset broadcast period in a timing mode; step S2: and any base station converts the received price tag signal to obtain the signal intensity of each price tag relative to the base station until all base stations convert to obtain the signal intensity of each price tag relative to any base station. The market assistant decision-making method and the system based on the price tag and the base station can position the position of personnel and provide indoor navigation service for users; the method can perform secondary mining according to information provided by price tags and base station interaction, and improve the assistant decision level of the shopping mall.

Description

Market assistant decision-making method and system based on price tags and base station
Technical Field
The invention belongs to the technical field of market assistant decision-making, and particularly relates to a price tag and base station-based market assistant decision-making method and a price tag and base station-based market assistant decision-making system.
Background
The invention discloses an invention patent application with publication number CN105809218A and subject name interactive electronic price tag control system and a control method thereof, and the technical scheme thereof discloses that the invention comprises an electronic price tag server: the system is provided with control software, the software comprises a commodity database, a user operation interface and a bottom layer SDK, and the SDK is in charge of butt joint with the ERP and the POS system; the server communicates the commodity information with the electronic price tag through the electronic price tag base station, and the electronic price tag returns information whether the commodity information is successfully received; electronic price tag base station: the base station with the indoor positioning function is used as a mediator of the electronic price tag server, the electronic price tag and the client mobile phone, can transmit commodity information to the electronic price tag through the encrypted RF, and transmits information fed back by the electronic price tag back to the electronic price tag server; or transmitting the commodity sales promotion message to the mobile phone of the client; or the information positioned by the mobile phone of the client is transmitted back to the electronic price tag server; electronic price tags: each electronic price tag is provided with a group of unique identification codes as identification and has the functions of NFC and Bluetooth communication; the handset: and operating the electronic price tag management APP, and taking charge of binding the electronic price tag and the commodity information and using the electronic price tag and the commodity information as inventory checking purposes.
However, in the technical field of market decision-making assistance, in the above patent application, although an electronic price tag server and an electronic price tag base station are disclosed, the information interaction between the server and the base station is used as an example, so that the purposes of reducing the cost of manually sticking the conventional paper label and the error rate of price change, improving the commodity turnover rate and reducing the inventory by connecting with an ERP system, and realizing rapid price change and promotion are achieved. In other words, the existing electronic price tags and their peripheral devices do not perform secondary mining according to the information obtained by the electronic price tags during interaction to realize potential business applications, such as providing business advice, indoor navigation, etc., and therefore further improvement is needed.
Disclosure of Invention
Aiming at the conditions of the prior art, the invention overcomes the defects and provides a price tag and base station-based market assistant decision-making method and a price tag and base station-based market assistant decision-making system.
The invention discloses a price tag and base station-based shopping mall assistant decision-making method and a system thereof, and mainly aims to generate a staff thermodynamic diagram and provide an operation suggestion by combining the internal structure of a shopping mall.
The invention discloses a price tag and base station-based market assistant decision-making method and a system thereof, and the system can be used for positioning the position of personnel and providing indoor navigation service for users.
The market assistant decision-making method and the market assistant decision-making system based on the price tags and the base station, disclosed by the patent application, have the other purpose that secondary mining can be performed according to information provided by interaction of the price tags and the base station, so that the assistant decision-making level of the market is improved.
The invention adopts the following technical scheme that the market assistant decision-making method based on the price tags and the base station comprises the following steps:
step S1: each price tag broadcasts a price tag signal for uniquely representing the identity of the price tag according to a preset broadcast period in a timing mode;
step S2: any base station converts the received price tag signal to obtain the signal intensity of each price tag relative to the base station until all base stations convert to obtain the signal intensity of each price tag relative to any base station;
step S3: converting the geographical position of the base station preset according to the signal strength of the price tag to obtain the relative distance of each price tag relative to any base station;
step S4: the geographic location of the designated price tag at the store is determined using a multipoint location principle to guide the user within the store to the designated price tag.
According to the above technical solution, as a further preferable technical solution of the above technical solution, the step S4 is specifically implemented as the following steps:
step S4.1: randomly selecting at least 3 base stations which are not in the same straight line;
step S4.2: acquiring the relative distance of each base station relative to the appointed price tag;
step S4.3: the integrated geographic location and relative distance form a multi-point located geographic location.
According to the above technical solution, as a further preferable technical solution of the above technical solution, the step S4 further includes a step S4.4, and the step S4.4 is located after the step S4.3:
step S4.4: and pushing the geographical position of the appointed price tag to the handheld terminal of the user so as to guide the user in the market to go to the appointed price tag.
According to the above technical solution, as a further preferable technical solution of the above technical solution, the step S4 further includes a step S4.0, and the step S4.0 is located before the step S4.1:
step S4.0: and prompting the user to select the price tag to be forwarded at the handheld terminal.
The patent application of the invention also discloses a market assistant decision-making method based on price tags and a base station, which comprises the following steps:
step T1: each price tag broadcasts a price tag signal for uniquely representing the identity of the price tag according to a preset broadcast period in a timing mode;
step T2: any base station converts the received price tag signal to obtain the signal intensity of each price tag relative to the base station until all base stations convert to obtain the signal intensity of each price tag relative to any base station;
step T3: the relative distance of each price tag relative to any one base station is obtained through conversion according to the signal intensity of the price tag and the preset geographical position of the base station;
step T4: determining the geographical position of the appointed price tag in the market by utilizing a multipoint positioning principle;
step T5: converting the signal intensity of the price tags and the geographic position of the handheld terminal of the user to obtain the relative distance of each price tag relative to the user;
step T6: determining the geographical position of a user in a shopping mall by utilizing a multipoint positioning principle;
step T7: and the handheld terminal of the user recommends a route for indoor navigation according to the designated geographical position of the price tag and the geographical position of the user.
According to the above technical solution, as a further preferable technical solution of the above technical solution, the step T4 is specifically implemented as the following steps:
step T4.1: randomly selecting at least 3 base stations which are not in the same straight line;
step T4.2: acquiring the relative distance of each base station relative to the appointed price tag;
step T4.3: the integrated geographic location and relative distance form a multi-point located geographic location.
According to the above technical solution, as a further preferable technical solution of the above technical solution, the step T4 further includes a step T4.4, and the step T4.4 is located after the step T4.3:
step T4.4: and pushing the geographical position of the appointed price tag to the handheld terminal of the user so as to guide the user in the market to go to the appointed price tag.
According to the above technical solution, as a further preferable technical solution of the above technical solution, the step T4 further includes a step T4.0, and the step T4.0 is located before the step T4.1:
step T4.0: and prompting the user to select the price tag to be forwarded at the handheld terminal.
According to the above technical solution, as a further preferable technical solution of the above technical solution, the step T6 is specifically implemented as the following steps:
step T6.1: randomly selecting at least 3 base stations which are not in the same straight line;
step T6.2: acquiring the relative distance of each base station relative to a handheld terminal of a user;
step T6.3: the integrated geographic location and relative distance form a multi-point located geographic location.
The patent application of the invention also discloses a market assistant decision-making system based on the price tags and the base station, which is used for implementing the market assistant decision-making method based on the price tags and the base station recorded in any one of the technical schemes.
The market assistant decision-making method and the system based on the price tags and the base station have the advantages that a staff thermodynamic diagram can be generated, and meanwhile, an operation suggestion is provided by combining the internal structure of a market; the position of a person can be positioned, and indoor navigation service is provided for a user; the method can perform secondary mining according to information provided by price tags and base station interaction, and improve the assistant decision level of the shopping mall.
Detailed Description
The invention discloses a price tag and base station-based shopping mall assistant decision method and a price tag and base station-based shopping mall assistant decision system.
Preferred embodiments.
Preferably, the price tag and base station-based shopping mall assistant decision method comprises the following steps:
step S1: each price tag broadcasts a price tag signal for uniquely representing the identity of the price tag according to a preset broadcast period in a timing mode;
step S2: any base station (AP, the same below) converts the received price tag signals (from each price tag) to obtain the signal strength of each price tag relative to the base station until all base stations convert to obtain the signal strength of each price tag relative to any base station;
step S3: the relative distance of each price tag relative to any base station is obtained through conversion according to the geographical position of the base station preset by the signal strength of the price tag (in other words, the geographical position of the base station is preset and known, and the geographical position of the price tag is unknown and needs to be derived by the method);
step S4: the geographic location (specific location) of the designated price tag at the mall is determined using the multipoint location principle to guide the user (voluntarily or passively) within the mall to the designated price tag (corresponding actual location).
It should be noted that, in the present embodiment, the geographic location of the base station is preset in the price label background system, i.e. is regarded as a known variable. In contrast, the geographic location of the price tag is the result that needs to be obtained by the present method, i.e., considered as a location variable. Furthermore, in this embodiment, the geographic location of the user need not be located. In other words, in the case of specifying the geographic location of the price tag, the user can have the ability to go to the designated price tag by his/her own means and/or an auxiliary guidance means (e.g., a guidance board) of the mall, and the indoor navigation service can be completed.
Further, step S4 is specifically implemented as the following steps:
step S4.1: randomly selecting at least 3 base stations which are not in the same straight line;
step S4.2: acquiring the relative distance of each base station relative to the appointed price tag;
step S4.3: the combined geographic location (of each base station) and relative distance (of the designated price tag) form a multi-point located geographic location (i.e., the geographic location of the designated price tag).
In step S4.1, the number of base stations is preferably 3.
Further, step S4 also includes step S4.4, and step S4.4 is located after step S4.3:
step S4.4: the geographic location of the designated price tag is pushed to the user's handheld terminal (e.g., a smartphone) in order to guide the user within the mall to go to the designated price tag.
Further, step S4 further includes step S4.0, where step S4.0 is located before step S4.1:
step S4.0: and prompting the user to select the price tag to be forwarded at the handheld terminal (namely, selecting the designated price tag).
It should be noted that, in this embodiment, on the basis of the above steps, the following steps may be further included: and further determining market aid decision factors (thermodynamic diagrams) such as the real-time geographic position of the user, the residence time of the user, the density of each area of the market and the like according to the geographic position of the handheld terminal of the user, and optimizing macro/local planning such as the layout of the market and the like according to the market aid decision factors.
It should be noted that, in this embodiment, a market assistant decision system based on price tags and a base station is also disclosed, which is used for implementing any of the above market assistant decision methods based on price tags and base stations.
A first embodiment.
Preferably, the price tag and base station-based shopping mall assistant decision method comprises the following steps:
step T1: each price tag broadcasts a price tag signal for uniquely representing the identity of the price tag according to a preset broadcast period in a timing mode;
step T2: any base station (AP, the same below) converts the received price tag signals (from each price tag) to obtain the signal strength of each price tag relative to the base station until all base stations convert to obtain the signal strength of each price tag relative to any base station;
step T3: converting the signal strength of each price tag and the preset geographic position of the base station (in other words, the geographic position of the base station is preset and known, but the geographic position of the price tag is unknown and needs to be derived by using the method) to obtain the relative distance of each price tag relative to any base station;
step T4: determining the geographic position (specific position) of the appointed price tag in the shopping mall by utilizing a multipoint positioning principle;
step T5: converting the relative distance of each price tag relative to (the handheld terminal of) the user according to the signal strength of the price tag and the geographic position of the handheld terminal of the user (in other words, the geographic position of the price tag is obtained according to T1-T4);
step T6: determining the geographical position (specific position) of (the handheld terminal of) the user in the shopping mall by utilizing a multipoint positioning principle;
step T7: and recommending a route for indoor navigation by the handheld terminal of the user according to the designated price tag geographical position and the geographical position of the user, so as to assist the user to quickly and accurately find the designated price tag or the goods/services bound with the price tag.
It should be noted that, in the present embodiment, the geographic location of the base station is preset in the price label background system, i.e. is regarded as a known variable. In contrast, the geographic location of the price tag is the result that needs to be obtained by the present method, i.e., considered as a location variable. In addition, in this embodiment, in order to further improve the accuracy of indoor navigation, the geographic location of the user needs to be determined. In other words, under the condition that the geographic position of the price tag and the geographic position of the user are clear, the user is assisted to quickly and accurately go to the designated price tag, and then the indoor navigation service can be completed.
Further, step T4 is specifically implemented as the following steps:
step T4.1: randomly selecting at least 3 base stations which are not in the same straight line;
step T4.2: acquiring the relative distance of each base station relative to the appointed price tag;
step T4.3: the combined geographic location (of each base station) and relative distance (of the designated price tag) form a multi-point located geographic location (i.e., the geographic location of the designated price tag).
In step T4.1, the number of base stations is preferably 3.
Further, step T4 further includes step T4.4, where step T4.4 is located after step T4.3:
step T4.4: the geographic location of the designated price tag is pushed to the user's handheld terminal (e.g., a smartphone) in order to guide the user within the mall to go to the designated price tag.
Further, step T4 further includes step T4.0, where step T4.0 is located before step T4.1:
step T4.0: and prompting the user to select the price tag to be forwarded at the handheld terminal (namely, selecting the designated price tag).
Further, step T6 is specifically implemented as the following steps:
step T6.1: randomly selecting at least 3 base stations which are not in the same straight line;
step T6.2: acquiring the relative distance of each base station relative to a handheld terminal of a user;
step T6.3: the geographical location (of each base station) and the relative distance (of the user's handset) are combined to form a multi-point located geographical location (i.e., the user's geographical location).
It should be noted that, in this embodiment, on the basis of the above steps, the following steps may be further included: and further determining market aid decision factors (thermodynamic diagrams) such as the real-time geographic position of the user, the residence time of the user, the density of each area of the market and the like according to the geographic position of the handheld terminal of the user, and optimizing macro/local planning such as the layout of the market and the like according to the market aid decision factors.
It should be noted that, in this embodiment, a market assistant decision system based on price tags and a base station is also disclosed, which is used for implementing any of the above market assistant decision methods based on price tags and base stations.
It should be noted that technical features such as specific type selection of a base station related to the present patent application should be regarded as the prior art, specific structures, operation principles, control manners and spatial arrangement manners of the technical features may be conventionally selected in the field, and should not be regarded as the invention points of the present patent, and the present patent is not further specifically described in detail.
It will be apparent to those skilled in the art that modifications and equivalents may be made in the embodiments and/or portions thereof without departing from the spirit and scope of the present invention.

Claims (10)

1. A market assistant decision-making method based on price tags and a base station is characterized by comprising the following steps:
step S1: each price tag broadcasts a price tag signal for uniquely representing the identity of the price tag according to a preset broadcast period in a timing mode;
step S2: any base station converts the received price tag signal to obtain the signal intensity of each price tag relative to the base station until all base stations convert to obtain the signal intensity of each price tag relative to any base station;
step S3: converting the geographical position of the base station preset according to the signal strength of the price tag to obtain the relative distance of each price tag relative to any base station;
step S4: the geographic location of the designated price tag at the store is determined using a multipoint location principle to guide the user within the store to the designated price tag.
2. A market assistant decision-making method based on price tags and base stations as claimed in claim 1, wherein step S4 is implemented as the following steps:
step S4.1: randomly selecting at least 3 base stations which are not in the same straight line;
step S4.2: acquiring the relative distance of each base station relative to the appointed price tag;
step S4.3: the integrated geographic location and relative distance form a multi-point located geographic location.
3. A market assistant decision-making method according to claim 2, wherein step S4 further comprises step S4.4, step S4.4 is located after step S4.3:
step S4.4: and pushing the geographical position of the appointed price tag to the handheld terminal of the user so as to guide the user in the market to go to the appointed price tag.
4. A market assistant decision-making method according to claim 2, wherein step S4 further comprises step S4.0, step S4.0 is located before step S4.1:
step S4.0: and prompting the user to select the price tag to be forwarded at the handheld terminal.
5. A market assistant decision-making method based on price tags and a base station is characterized by comprising the following steps:
step T1: each price tag broadcasts a price tag signal for uniquely representing the identity of the price tag according to a preset broadcast period in a timing mode;
step T2: any base station converts the received price tag signal to obtain the signal intensity of each price tag relative to the base station until all base stations convert to obtain the signal intensity of each price tag relative to any base station;
step T3: the relative distance of each price tag relative to any one base station is obtained through conversion according to the signal intensity of the price tag and the preset geographical position of the base station;
step T4: determining the geographical position of the appointed price tag in the market by utilizing a multipoint positioning principle;
step T5: converting the signal intensity of the price tags and the geographic position of the handheld terminal of the user to obtain the relative distance of each price tag relative to the user;
step T6: determining the geographical position of a user in a shopping mall by utilizing a multipoint positioning principle;
step T7: and the handheld terminal of the user recommends a route for indoor navigation according to the designated geographical position of the price tag and the geographical position of the user.
6. A market assistant decision-making method based on price tags and base stations as claimed in claim 5, characterized in that step T4 is implemented as the following steps:
step T4.1: randomly selecting at least 3 base stations which are not in the same straight line;
step T4.2: acquiring the relative distance of each base station relative to the appointed price tag;
step T4.3: the integrated geographic location and relative distance form a multi-point located geographic location.
7. A market assistant decision method according to claim 6, wherein step T4 further comprises step T4.4, step T4.4 being located after step T4.3:
step T4.4: and pushing the geographical position of the appointed price tag to the handheld terminal of the user so as to guide the user in the market to go to the appointed price tag.
8. A market assistant decision method according to claim 6, wherein step T4 further comprises step T4.0, step T4.0 being before step T4.1:
step T4.0: and prompting the user to select the price tag to be forwarded at the handheld terminal.
9. A market assistant decision-making method based on price tags and base stations as claimed in claim 5, characterized in that step T6 is implemented as the following steps:
step T6.1: randomly selecting at least 3 base stations which are not in the same straight line;
step T6.2: acquiring the relative distance of each base station relative to a handheld terminal of a user;
step T6.3: the integrated geographic location and relative distance form a multi-point located geographic location.
10. A market assistant decision-making system based on price tags and base stations, which is used for implementing the price tag and base station-based market assistant decision-making method of any one of claims 1-9.
CN201911086198.9A 2019-11-08 2019-11-08 Market assistant decision-making method and system based on price tags and base station Pending CN110996256A (en)

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CN112801241A (en) * 2020-12-29 2021-05-14 西安超嗨网络科技有限公司 System and method for realizing intelligent shopping cart indoor accurate positioning based on electronic price tags
CN114900551A (en) * 2022-05-09 2022-08-12 重庆科创职业学院 Method and system for searching for object by using electronic price tag and computer readable storage medium

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CN112801241A (en) * 2020-12-29 2021-05-14 西安超嗨网络科技有限公司 System and method for realizing intelligent shopping cart indoor accurate positioning based on electronic price tags
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