WO2017147919A1 - 基于蓝牙的商场统计*** - Google Patents
基于蓝牙的商场统计*** Download PDFInfo
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- WO2017147919A1 WO2017147919A1 PCT/CN2016/075684 CN2016075684W WO2017147919A1 WO 2017147919 A1 WO2017147919 A1 WO 2017147919A1 CN 2016075684 W CN2016075684 W CN 2016075684W WO 2017147919 A1 WO2017147919 A1 WO 2017147919A1
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- bluetooth
- control terminal
- customer
- access points
- bluetooth device
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
Definitions
- the present invention relates to the technical field of big data, and more particularly to a Bluetooth-based shopping mall statistical system.
- Big data analysis is a widely used data analysis method. It analyzes the selection trend of most individuals based on the statistics of a large amount of data. Big data is used in large shopping malls. According to each customer's line and patronized stores, big data analysis can be used to scientifically plan the routes and store layouts inside the mall to increase the revenue of the mall. In the prior art, it is difficult to scientifically and accurately count the customer's action lines and patronized stores, resulting in statistical data only by manual acquisition, etc., and the original data has considerable errors.
- the object of the present invention is to provide a Bluetooth-based shopping mall statistical system, which aims to solve the problem that the large-scale commercial field in the prior art is difficult to analyze scientific big data accurately.
- the Bluetooth-based shopping mall statistics system can statistically record the customer action trajectory carrying the smart phone, including multiple access points and control terminals for detecting the Bluetooth device, the control The terminal performs statistics according to the Bluetooth device signals detected by the access points, and routes the route between the access points according to different Bluetooth device ids, complements the route of the customer and records statistics.
- control terminal records the frequency at which the customer enters each floor and the storefront, and summarizes the number of popular stores and floors.
- each customer's action line is counted and an optimal route for most people walking is calculated.
- a cloud for sharing data is further included, and the cloud collects the control terminal statistics data of each mall and provides the control terminal statistics data of the other malls and the overall data samples.
- the present invention records the action trajectory of each Bluetooth device by means of Bluetooth. Since each Bluetooth device has its own id, the control terminal can know that the id can be carried according to the id at each access point. The customer's route of the Bluetooth device can scientifically and accurately count the customer's route for big data analysis.
- This embodiment provides a Bluetooth-based shopping mall statistics system, which can statistically record a customer action track carrying a smart phone, including multiple access points and control terminals for detecting a Bluetooth device, and the control terminal according to each access point.
- the detected Bluetooth device signals are counted, and the route between the access points is planned according to different Bluetooth device ids, the route of the customer is supplemented, and statistics are recorded.
- the action track of each Bluetooth device is recorded by means of Bluetooth. Since each Bluetooth device has its own id, the control terminal can know the customer carrying the Bluetooth device according to the id at the time of occurrence of each access point. The route can scientifically and accurately count the customer's route and conduct big data analysis.
- the control terminal records the frequency at which the customer enters each floor and the storefront, and summarizes the number of popular stores and floors.
- the brand characteristics of each store can be adjusted according to the statistical results, so that the stores with more customers can be located in the more unpopular position, driving the traffic of other stores.
- a cloud for sharing data the cloud collecting the control terminal statistics of each mall and providing the control terminal statistics of the other malls and the overall data samples.
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Abstract
一种基于蓝牙的商场统计***,可统计记录携带智能手机的顾客行动轨迹,包括用于检测蓝牙设备的多个接入点和控制终端,所述控制终端根据各接入点检测到的蓝牙设备信号,进行统计,并且根据蓝牙设备id规划所述接入点之间的路线,补充完成该顾客的路线并记录统计。通过蓝牙的方式记录各个蓝牙设备的行动轨迹,由于各个蓝牙设备具有自己的id,控制终端可根据id在各个接入点出现的时间即可知携带该蓝牙设备的顾客的路线,能科学而精确地统计顾客的路线,进行大数据分析。
Description
说明书 发明名称:基于蓝牙的商场统计*** 技术领域
[0001] 本发明涉及大数据的技术领域, 尤其涉及基于蓝牙的商场统计***。
背景技术
[0002] 大数据分析是一种目前广泛应用的数据分析方式, 其基于大量数据的统计, 分 析多数个体的选择趋向。 大数据应用于大型商场内, 可以根据每位顾客的线路 、 光顾的门店作为大数据分析, 从而科学的规划商场内部的路线和门店排布, 提高商场的营收。 在现有技术中难以科学精确统计顾客的行动线路和光顾的门 店, 导致只能采用人工采集等方式统计数据, 原始数据就有相当的误差。
技术问题
[0003] 本发明的目的在于提供基于蓝牙的商场统计***, 旨在解决现有技术中大型商 场难以科学、 精确的统计大数据进行分析的问题。
问题的解决方案
技术解决方案
[0004] [0004]本发明是这样实现的, 基于蓝牙的商场统计***, 可统计记录携带智能 手机的顾客行动轨迹, 包括用于检测蓝牙设备的多个接入点和控制终端, 所述 控制终端根据各接入点检测到的蓝牙设备信号, 进行统计, 并且根据不同的蓝 牙设备 id将所述接入点之间的路线规划, 补充完成该顾客的路线并记录统计。
[0005] 进一步地, 所述控制终端记录顾客进入各层、 店面的频率, 汇总统计出热门店 铺、 层数。
[0006] 进一步地, 以一周吋间和节假日吋间为吋间轴, 统计每日每层、 每店面的访问 频率。
[0007] 进一步地, 统计每个顾客的行动线路并计算出最多人行走的最优化路线。
[0008] 进一步地, 还包括用于共享数据的云端, 云端收集各个商场的所述控制终端统 计数据并提供其他商场的所述控制终端统计数据以及整体数据样本。
发明的有益效果
有益效果
[0009] 与现有技术相比, 本发明通过蓝牙的方式记录各个蓝牙设备的行动轨迹, 由于 各个蓝牙设备具有自己的 id, 控制终端可根据 id在各个接入点出现的吋间即可知 携带该蓝牙设备的顾客的路线, 能科学而精确的统计顾客的路线, 进行大数据 分析。
本发明的实施方式
[0010] [0008]为了使本发明的目的、 技术方案及优点更加清楚明白, 以下结合附图及 实施例, 对本发明进行进一步详细说明。 应当理解, 此处所描述的具体实施例 仅仅用以解释本发明, 并不用于限定本发明。
[0011] 以下结合具体附图对本实施例的实现进行详细的描述。
[0012] 本实施例提供基于蓝牙的商场统计***, 可统计记录携带智能手机的顾客行动 轨迹, 包括用于检测蓝牙设备的多个接入点和控制终端, 所述控制终端根据各 接入点检测到的蓝牙设备信号, 进行统计, 并且根据不同的蓝牙设备 id将所述接 入点之间的路线规划, 补充完成该顾客的路线并记录统计。
[0013] 本实施例通过蓝牙的方式记录各个蓝牙设备的行动轨迹, 由于各个蓝牙设备具 有自己的 id, 控制终端可根据 id在各个接入点出现的吋间即可知携带该蓝牙设备 的顾客的路线, 能科学而精确的统计顾客的路线, 进行大数据分析。
[0014] 所述控制终端记录顾客进入各层、 店面的频率, 汇总统计出热门店铺、 层数。
可以根据各层的特点, 各店面的品牌特点结合统计结果进行调整, 使有更多顾 客访问的门店位于更冷门的位置, 带动其他门店的人流量。
[0015] 以一周吋间和节假日吋间为吋间轴, 统计每日每层、 每店面的访问频率, 根绝 吋间上的区别特点制定相应的促销等活动。
[0016] 统计每个顾客的行动线路并计算出最多人行走的最优化路线。
[0017] 还包括用于共享数据的云端, 云端收集各个商场的所述控制终端统计数据并提 供其他商场的所述控制终端统计数据以及整体数据样本。
[0018] 以上所述仅为本发明的较佳实施例而已, 并不用以限制本发明, 凡在本发明的 精神和原则之内所作的任何修改、 等同替换和改进等, 均应包含在本发明的保
护范围之内。
Claims
[权利要求 1] 基于蓝牙的商场统计***, 可统计记录携带智能手机的顾客行动轨迹
, 其特征在于, 包括用于检测蓝牙设备的多个接入点和控制终端, 所 述控制终端根据各接入点检测到的蓝牙设备信号, 进行统计, 并且根 据不同的蓝牙设备 id将所述接入点之间的路线规划, 补充完成该顾客 的路线并记录统计。
[权利要求 2] 如权利要求 1所述的基于蓝牙的商场统计***, 其特征在于, 所述控 制终端记录顾客进入各层、 店面的频率, 汇总统计出热门店铺、 层数
[权利要求 3] 如权利要求 1所述的基于蓝牙的商场统计***, 其特征在于, 以一周 吋间和节假日吋间为吋间轴, 统计每日每层、 每店面的访问频率。
[权利要求 4] 如权利要求 1所述的基于蓝牙的商场统计***, 其特征在于, 统计每 个顾客的行动线路并计算出最多人行走的最优化路线。
[权利要求 5] 如权利要求 1所述的基于蓝牙的商场统计***, 其特征在于, 还包括 用于共享数据的云端, 云端收集各个商场的所述控制终端统计数据并 提供其他商场的所述控制终端统计数据以及整体数据样本。
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Citations (3)
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CN102737336A (zh) * | 2012-04-12 | 2012-10-17 | 林华龙 | 基于移动装置来了解客流量及其行为的方法与管理*** |
CN202773078U (zh) * | 2011-07-30 | 2013-03-06 | 孙佰松 | 一种基于无线通信的人流定位和监控*** |
CN105101404A (zh) * | 2015-05-19 | 2015-11-25 | 西安海导信息技术有限公司 | 定位方法、装置及终端 |
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CN202773078U (zh) * | 2011-07-30 | 2013-03-06 | 孙佰松 | 一种基于无线通信的人流定位和监控*** |
CN102737336A (zh) * | 2012-04-12 | 2012-10-17 | 林华龙 | 基于移动装置来了解客流量及其行为的方法与管理*** |
CN105101404A (zh) * | 2015-05-19 | 2015-11-25 | 西安海导信息技术有限公司 | 定位方法、装置及终端 |
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