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

Info

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
Authority
CN
China
Prior art keywords
price tag
base station
price
user
market
Prior art date
Application number
CN201911086198.9A
Other languages
Chinese (zh)
Inventor
徐英敏
钟小强
Original Assignee
杭州智控网络有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 杭州智控网络有限公司 filed Critical 杭州智控网络有限公司
Priority to CN201911086198.9A priority Critical patent/CN110996256A/en
Publication of CN110996256A publication Critical patent/CN110996256A/en

Links

Classifications

    • 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

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 CN110996256A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911086198.9A CN110996256A (en) 2019-11-08 2019-11-08 Market assistant decision-making method and system based on price tags and base station

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911086198.9A CN110996256A (en) 2019-11-08 2019-11-08 Market assistant decision-making method and system based on price tags and base station

Publications (1)

Publication Number Publication Date
CN110996256A true CN110996256A (en) 2020-04-10

Family

ID=70083590

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911086198.9A CN110996256A (en) 2019-11-08 2019-11-08 Market assistant decision-making method and system based on price tags and base station

Country Status (1)

Country Link
CN (1) CN110996256A (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104318279A (en) * 2014-10-23 2015-01-28 苏州健雄职业技术学院 Supermarket goods intelligent tag system
CN105242240A (en) * 2015-10-12 2016-01-13 深圳市天工测控技术有限公司 Positioned, and indoor positioning method, apparatus and system thereof
US20170292851A1 (en) * 2014-11-17 2017-10-12 Chigoo Interactive Technology Co., Ltd. Mobile self-service system and method
CN108616811A (en) * 2018-07-09 2018-10-02 上海晶曦微电子科技有限公司 A kind of management server, electronic price label and positioning terminal
CN110334793A (en) * 2019-08-21 2019-10-15 昆山市华显光电科技有限公司 A kind of electrovalence label positioning system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104318279A (en) * 2014-10-23 2015-01-28 苏州健雄职业技术学院 Supermarket goods intelligent tag system
US20170292851A1 (en) * 2014-11-17 2017-10-12 Chigoo Interactive Technology Co., Ltd. Mobile self-service system and method
CN105242240A (en) * 2015-10-12 2016-01-13 深圳市天工测控技术有限公司 Positioned, and indoor positioning method, apparatus and system thereof
CN108616811A (en) * 2018-07-09 2018-10-02 上海晶曦微电子科技有限公司 A kind of management server, electronic price label and positioning terminal
CN110334793A (en) * 2019-08-21 2019-10-15 昆山市华显光电科技有限公司 A kind of electrovalence label positioning system

Similar Documents

Publication Publication Date Title
KR101835832B1 (en) Calling system for using local area wireless communication
US9971984B2 (en) Observation platform for using structured communications
Ozdenizci et al. NFC internal: An indoor navigation system
US8929915B2 (en) Providing information to a computing device based on known location and user information
US20180082335A1 (en) Method of creating and joining social group, user device for executing the method, server, and storage medium
US9740999B2 (en) Real time customer access to location, arrival and on-site time data
AU2012287719B2 (en) Method and apparatus for providing transaction related service
JP6382745B2 (en) Ride-on support device and program to support ride-on
US8972357B2 (en) System and method for data collection to validate location data
CN102461218B (en) Method and apparatus for locating communities over an ad-hoc mesh network
US10417690B2 (en) Method and system for order routing and management
US8606710B2 (en) Method and system for paying public transportation fare via mobile device
CN103548401B (en) Use the service enhancement of near-field communication
US7263437B2 (en) Vehicle dispatching system and management server for the same
US20200240797A1 (en) Public and ordered transportation trip planning
TWI476727B (en) Automatic dispatching method and system of taxi using community network and geography instant exchange technology
JP3121248U (en) Takeout product trading system while driving
US8849560B2 (en) Method and apparatus for customer/passenger wayfinding using boarding pass barcode scanning capabilities on low-cost display devices
US7200394B2 (en) Information distribution service system based on predicted changes in location of mobile information terminal
US8594003B2 (en) Method of estimating location of mobile device in transportation using WiFi
US20170124511A1 (en) Automatic Integrated Routing and Fulfillment System and Method with Product Exchange
US20190378199A1 (en) Ordering a transportation vehicle using a near-field communication device
CN103547938B (en) Measurement in wireless network environment and information search
TWI271109B (en) Method for providing point of interest (POI) alerting to a user of a cellular device and related system
US10110686B2 (en) Systems and methods for providing beacon-based notifications

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination