TW202023313A - Information recommendation and notification system based on Wi-Fi detection and its implementation method capable of reducing establishment costs of hardware and software of client ends and simultaneously enabling client ends to real-time check information recommendation efficacy - Google Patents

Information recommendation and notification system based on Wi-Fi detection and its implementation method capable of reducing establishment costs of hardware and software of client ends and simultaneously enabling client ends to real-time check information recommendation efficacy Download PDF

Info

Publication number
TW202023313A
TW202023313A TW107143796A TW107143796A TW202023313A TW 202023313 A TW202023313 A TW 202023313A TW 107143796 A TW107143796 A TW 107143796A TW 107143796 A TW107143796 A TW 107143796A TW 202023313 A TW202023313 A TW 202023313A
Authority
TW
Taiwan
Prior art keywords
information
cloud
server
target
detection
Prior art date
Application number
TW107143796A
Other languages
Chinese (zh)
Inventor
賴文聖
Original Assignee
瀚揚電通有限公司
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 瀚揚電通有限公司 filed Critical 瀚揚電通有限公司
Priority to TW107143796A priority Critical patent/TW202023313A/en
Publication of TW202023313A publication Critical patent/TW202023313A/en

Links

Images

Abstract

An information recommendation and notification system based on Wi-Fi detection and its implementation method includes: a Wi-Fi device, a private cloud, and a content server (client end). After the Wi-Fi device can receive a plurality of detection requests sent by multiple mobile devices within a communication range, the requests are compared by taking MAC address as an index. The mobile device, which is matched with a comparison result, is determined as the target device (target end). A real-time notification is pushed by the private cloud to the content server so that the content server can analyze the effectiveness for performing information recommendation to the target end. In addition, the private cloud also provides the analysis function for people flow or behavior classification (labeling) so that the content server can adjust the content or time of performing information recommendation to the target end.

Description

基於Wi-Fi探測的資訊推薦與通知系統及其實施方法 Information recommendation and notification system based on Wi-Fi detection and its implementation method
本發明涉及通訊技術領域,尤指一種基於Wi-Fi探測技術,使一Wi-Fi設備於一通訊範圍內擷取行動裝置發送的探測請求後,以MAC位址(Media Access Control Address)為索引進行比對,並將比對結果吻合的行動裝置(目標端)之相關資訊,透過私有雲即時通知一內容伺服器(客戶端)的資訊推薦與通知系統及其實施方法。 The present invention relates to the field of communication technology, in particular to a Wi-Fi detection technology that enables a Wi-Fi device to capture a detection request sent by a mobile device within a communication range and use the MAC address (Media Access Control Address) as an index The comparison is performed, and the relevant information of the mobile device (target terminal) that matches the comparison result is notified in real time through the private cloud of a content server (client) information recommendation and notification system and its implementation method.
隨著無線區域網路的普及,在超市、購物中心、飯店等場域中,可透過設置無線存取點(Wireless Access Point,WAP)提供無線網路服務,而行動裝置(Station,STA)可於一無線搜尋範圍中檢測到多個存取點,當行動裝置欲與存取點連接以取得無線網路服務時,主要根據IEEE 802.11無線通訊協定與存取點進行連線程序,其中,行動裝置於主動掃描階段(Active Scanning)可逐一對各頻道傳送探測請求(probe request),以向無線存取點請求探測回應(probe response),藉此,行動裝置與無線存取點可透過傳 送封包的方式溝通,互相取得需要的連線訊息。 With the popularization of wireless local area networks, in supermarkets, shopping malls, restaurants and other fields, wireless access points (WAP) can be set to provide wireless network services, and mobile devices (Station, STA) can be Multiple access points are detected in a wireless search range. When a mobile device wants to connect to the access point to obtain wireless network services, it mainly performs a connection procedure with the access point according to the IEEE 802.11 wireless communication protocol. During Active Scanning, the device can send a probe request to each channel one by one to request a probe response from the wireless access point. By this, the mobile device and the wireless access point can transmit Communicate by sending packets to obtain the necessary connection information from each other.
而基於業主的各種業務需求,需要對行動裝置之使用者的人流與行為模式進行分析及分類,以確定哪些使用者已進入或未進入場域,進而對該些使用者進行資訊推薦(例如優惠或促銷資訊等),相關前案如中國發明專利第CN108449716A號「一種基於無線傳感器的用戶屬性分析方法和系統」、或中國發明專利第CN104093133A號「基於WiFi的主動探測與精準內容推送的裝置及方法」、或中國發明專利第CN106982411A號「一種基於WiFi探針數據的實時客流統計方法」、或中國發明專利第CN108449717A號「基於無線傳感器的多個體綁定關係的判定方法和系統」所揭的技術方案。 Based on the various business needs of the owners, it is necessary to analyze and classify the traffic and behavior patterns of users of mobile devices to determine which users have entered or not entered the field, and then recommend information for these users (such as discounts). Or promotional information, etc.), related previous cases such as Chinese invention patent No. CN108449716A "A method and system for user attribute analysis based on wireless sensors", or Chinese invention patent No. CN104093133A "WiFi-based active detection and accurate content push device Method”, or Chinese invention patent No. CN106982411A “A real-time passenger flow statistics method based on WiFi probe data”, or Chinese invention patent No. CN108449717A “Method and system for judging multiple body binding relationships based on wireless sensors” Technical solutions.
然而,該些前案大多應用於單一商家或其相關營業據點,意即經營者或管理者(本發明泛指為客戶端)必須自行開發軟體、及於各營業據點佈設相關設施(例如AP),並透過Wi-Fi探測與推播技術檢視資訊推薦(例如廣告)的投放成效、入店率、停留時間等,甚至有客戶端必須建置監視器或音頻感測器,以優化人流或行為分析的準確率;換言之,現有的解決方案對客戶端而言,不僅軟硬體之建置成本較高,消耗的頻寬資源和計算資源也較高,是以,如何提出一種可改善上述問題,並讓客戶端亦可彈性調整資訊推薦策略的「基於Wi-Fi探測的資訊推薦與通知系統及其 實施方法」,乃有待解決之問題。 However, most of these previous cases are applied to a single merchant or its related business locations, which means that operators or managers (referred to as clients in the present invention) must develop their own software and deploy related facilities (such as AP) at each business location. , And use Wi-Fi detection and push technology to view the effectiveness of information recommendations (such as advertisements), store access rates, stay time, etc., and even some clients must build monitors or audio sensors to optimize people flow or behavior The accuracy of the analysis; in other words, for the client, the existing solutions not only cost more to build software and hardware, but also consume bandwidth resources and computing resources. Therefore, how to propose a solution that can improve the above problems , And allow the client to flexibly adjust the information recommendation strategy of the "Wi-Fi detection-based information recommendation and notification system and its Implementation method" is a problem to be solved.
有鑑於上述問題,本發明人依據多年來從事相關領域研究的經驗,針對Wi-Fi探測與雲端運算技術進行研究;緣此,本發明之目的在於提供一種可降低客戶端之軟硬體建置成本、同時能讓客戶端即時檢視資訊推薦成效,進而能隨時調整推播策略、以減少資源消耗的「基於Wi-Fi探測的資訊推薦與通知系統及其實施方法」。 In view of the above-mentioned problems, the inventor of the present invention has conducted research on Wi-Fi detection and cloud computing technology based on years of experience in research in related fields; for this reason, the purpose of the present invention is to provide a software and hardware implementation that can reduce the client Cost, while allowing the client to view the effectiveness of the information recommendation in real time, and then adjust the push strategy at any time to reduce resource consumption.
為達上述目的,本發明提出一種基於Wi-Fi探測的資訊推薦與通知系統及其實施方法,系統包括:一Wi-Fi設備、一私有雲、一內容伺服器,Wi-Fi設備供以於一通訊範圍內接收多個行動裝置發送的探測請求後,以MAC位址為索引進行比對,並將比對結果為吻合的行動裝置判定為目標裝置,再透過一私有雲的一雲端推送伺服器推播即時通知至內容伺服器,以讓內容伺服器接收目標裝置的MAC位址、出現時間資訊、點位資訊,且私有雲的一雲端分析伺服器可對各行動裝置的探測請求的封包內容執行一行為分類分析及一人流分析。 To achieve the above objective, the present invention proposes an information recommendation and notification system based on Wi-Fi detection and its implementation method. The system includes: a Wi-Fi device, a private cloud, a content server, and Wi-Fi devices for After receiving detection requests from multiple mobile devices within a communication range, compare them with the MAC address as an index, and determine the mobile devices with matching results as the target device, and then push the server through a cloud of a private cloud The server pushes real-time notifications to the content server, so that the content server can receive the MAC address of the target device, the time of appearance information, and the point information. A cloud analysis server in the private cloud can detect packets of each mobile device’s request The content performs a behavior classification analysis and a crowd analysis.
藉此,內容伺服器可從私有雲即時接收目標裝置的比對結果,並進一步於自身伺服器分析資訊推薦的成效,且私有雲所分析的數據亦可供內容伺服器調整對目標裝置 進行資訊推薦的策略。 In this way, the content server can receive the comparison result of the target device from the private cloud in real time, and further analyze the effectiveness of the information recommendation on its own server, and the data analyzed by the private cloud can also be used by the content server to adjust the target device Strategy for information recommendation.
再者,本發明透過雲端運算(私有雲)與邊緣運算(Wi-Fi設備、內容伺服器)作同步混合運算,可達成更佳的運算效率,以適用於具高即時性需求之內容伺服器(客戶端)的應用。 Furthermore, the present invention uses cloud computing (private cloud) and edge computing (Wi-Fi equipment, content server) to perform synchronous hybrid computing, which can achieve better computing efficiency, and is suitable for content servers with high real-time requirements. (Client) application.
為使 貴審查委員得以清楚了解本發明之目的、技術特徵及其實施後之功效,茲以下列說明搭配圖示進行說明,敬請參閱。 In order for your reviewer to have a clear understanding of the purpose, technical features and effects of the present invention after implementation, the following descriptions and illustrations are used for explanation, please refer to it.
1‧‧‧基於Wi-Fi探測的資訊推薦與通知系統 1. Information recommendation and notification system based on Wi-Fi detection
10‧‧‧Wi-Fi設備 10‧‧‧Wi-Fi equipment
101‧‧‧通訊模組 101‧‧‧Communication Module
102‧‧‧目標資料庫 102‧‧‧Target database
103‧‧‧比對模組 103‧‧‧Comparison Module
104‧‧‧過濾模組 104‧‧‧Filter Module
20‧‧‧私有雲 20‧‧‧Private Cloud
201‧‧‧雲端推送伺服器 201‧‧‧Cloud Push Server
202‧‧‧雲端分析伺服器 202‧‧‧Cloud Analysis Server
2021‧‧‧分析資料庫 2021‧‧‧Analysis Database
2022‧‧‧數據管理平台 2022‧‧‧Data Management Platform
30‧‧‧客戶端 30‧‧‧Client
301‧‧‧內容伺服器 301‧‧‧Content Server
302‧‧‧客戶端資料庫 302‧‧‧Client database
40‧‧‧目標端 40‧‧‧Target
STA_O‧‧‧目標裝置 STA_O‧‧‧Target device
STA‧‧‧行動裝置 STA‧‧‧Mobile device
S1‧‧‧接收探測請求 S1‧‧‧Receive probe request
S2‧‧‧MAC位址比對 S2‧‧‧MAC address comparison
S3‧‧‧上傳至私有雲 S3‧‧‧Upload to private cloud
S4‧‧‧即時通知客戶端 S4‧‧‧Instant notification client
第1圖,為本發明之系統架構圖(一)。 Figure 1 is the system architecture diagram (1) of the present invention.
第2圖,為本發明之系統架構圖(二)。 Figure 2 is the system architecture diagram (2) of the present invention.
第3圖,為本發明之實施流程圖。 Figure 3 is a flowchart of the implementation of the present invention.
第4圖,為本發明之資訊流示意圖。 Figure 4 is a schematic diagram of the information flow of the present invention.
第5圖,為本發明之另一實施例(一)之方塊與資訊流示意圖。 Figure 5 is a schematic diagram of the blocks and information flow of another embodiment (1) of the present invention.
第6圖,為本發明之另一實施例(二)之方塊與資訊流示意圖。 Figure 6 is a schematic diagram of the blocks and information flow of another embodiment (2) of the present invention.
請參閱「第1圖」,圖中所示為本發明之系統架構圖(一),本發明所揭的基於Wi-Fi探測的資訊推薦與通知系統1主要包括:一Wi-Fi設備10、複數個行動裝置STA、一私 有雲20、及一客戶端30的一內容伺服器301,且私有雲20分別與Wi-Fi設備10及內容伺服器301資訊連接,其中:(1)Wi-Fi設備10具備Wi-Fi功能,亦可具備Wi-Fi路由器(Router)的功能,且Wi-Fi設備10可被預先定義一SSID碼(服務設定識別碼);(2)各行動裝置STA進入Wi-Fi設備10的一通訊範圍後,可發送一探測請求至Wi-Fi設備10,而Wi-Fi設備10可以JSON作為資料儲存格式;(3)行動裝置STA可為一筆記型電腦、一智慧型手機、或一平板電腦等任何具有行動通訊功能的電子裝置,且Wi-Fi設備10與私有雲20、以及私有雲20與內容伺服器301建立資訊連結的方式可透過3G、4G LTE、Wi-Fi等資料傳輸協定達成,但不以此為限。 Please refer to "Figure 1", which shows the system architecture diagram (1) of the present invention. The information recommendation and notification system 1 based on Wi-Fi detection disclosed in the present invention mainly includes: a Wi-Fi device 10, A plurality of mobile devices STA, a private cloud 20, and a content server 301 of a client 30, and the private cloud 20 is connected to the Wi-Fi device 10 and the content server 301 respectively, among which: (1) Wi-Fi The device 10 has Wi-Fi function, and can also have the function of a Wi-Fi router (Router), and the Wi-Fi device 10 can be pre-defined with an SSID code (service setting identification code); (2) Each mobile device STA enters Wi-Fi -After a communication range of the Fi device 10, a detection request can be sent to the Wi-Fi device 10, and the Wi-Fi device 10 can use JSON as the data storage format; (3) The mobile device STA can be a laptop or a smart device Any electronic device with mobile communication functions, such as a mobile phone or a tablet computer, and the Wi-Fi device 10 and the private cloud 20, and the private cloud 20 and the content server 301 can establish information links through 3G, 4G LTE, Wi-Fi -Fi and other data transmission agreements are reached, but not limited to this.
請接續參閱「第2圖」之系統架構圖(二),如「第2圖」所示,Wi-Fi設備10具有一通訊模組101、分別與通訊模組101資訊連結的一目標資料庫102與一比對模組103,而可提供基礎架構即服務(IaaS)、軟體即服務(SaaS)、或平台即服務(PaaS)的私有雲20包含一雲端推送伺服器201及一雲端分析伺服器202,兩者相互呈資訊連結,且雲端分析伺服器202分別與一分析資料庫2021及一數據管理平台2022(Data Management Platform,DMP)形成資訊連結,客戶端30的內容伺服器301與一客戶端資料庫302資訊連結,其中: Please continue to refer to the system architecture diagram (2) of "Figure 2". As shown in "Figure 2", the Wi-Fi device 10 has a communication module 101 and a target database linked to the communication module 101 respectively. 102 and a comparison module 103, and can provide infrastructure as a service (IaaS), software as a service (SaaS), or platform as a service (PaaS) private cloud 20 includes a cloud push server 201 and a cloud analysis server The two are connected to each other in information, and the cloud analysis server 202 forms an information link with an analysis database 2021 and a data management platform 2022 (Data Management Platform, DMP) respectively. The content server 301 of the client 30 is connected to a Information link of client database 302, including:
(1)通訊模組101可為具有收發器(Transceiver)的802.11 WiFi模組,其可定期地廣播Beacon幀(Beacon Frame,亦可稱管理幀或信標幀),以向各行動裝置STA宣示Wi-Fi設備10的存在,並可進一步從位於通訊範圍內的各行動裝置STA持續地接收一探測請求; (1) The communication module 101 can be an 802.11 WiFi module with a transceiver (Transceiver), which can periodically broadcast Beacon frames (Beacon Frames, also called management frames or beacon frames) to announce to each mobile device STA The existence of the Wi-Fi device 10 can further continuously receive a detection request from each mobile device STA located in the communication range;
(2)目標資料庫102儲存有一MAC位址清單; (2) The target database 102 stores a MAC address list;
(3)103可將各探測請求的一MAC位址為索引,與目標資料庫102儲存的一MAC位址清單進行一比對程序; (3) 103 can use a MAC address of each detection request as an index, and perform a comparison procedure with a MAC address list stored in the target database 102;
(4)雲端推送伺服器201亦與內容伺服器301資訊連結,雲端推送伺服器201可從Wi-Fi設備10接收所述比對程序為吻合的探測請求,並可生成一即時通知訊息,以發送至內容伺服器301; (4) The cloud push server 201 is also connected to the content server 301. The cloud push server 201 can receive a detection request from the Wi-Fi device 10 that matches the comparison procedure, and can generate an instant notification message to Send to the content server 301;
(5)雲端分析伺服器202可從Wi-Fi設備10接收各行動裝置STA的各探測請求的封包內容,並可儲存有一程式指令,其載入並執行後可對各行動裝置STA的探測請求的封包內容執行一行為分類分析及一人流分析,並將完成分析的數據儲存至分析資料庫2021; (5) The cloud analysis server 202 can receive the packet content of each detection request of each mobile device STA from the Wi-Fi device 10, and can store a program command, which can be loaded and executed to make a detection request to each mobile device STA Execute a behavior classification analysis and a traffic analysis of the packet content of, and store the analyzed data to the analysis database 2021;
(6)客戶端資料庫302儲存有一目標用戶資訊,並與目標資料庫102之MAC位址清單所儲存的MAC位址形成關聯(即存在映射關係),且目標用戶資訊可包括目標用戶的頭像、性別、年齡等身分資訊,更可包括目標用戶的喜好、購物習慣、購物歷史等,惟均不以此為限; (6) The client database 302 stores a target user information, which is associated with the MAC addresses stored in the MAC address list of the target database 102 (that is, there is a mapping relationship), and the target user information may include the target user's avatar Identity information such as, gender, age, etc., can also include the target user’s preferences, shopping habits, shopping history, etc., but are not limited to this;
(7)內容伺服器301儲存有多筆推播資訊,並可存取客戶端資料庫302的目標用戶資訊,進而對具有目標資料庫102 儲存的MAC位址的行動裝置STA,進行推播資訊之發送,例如推送符合目標用戶之購物習慣、年齡、喜好的推薦資訊。 (7) The content server 301 stores multiple pieces of push information and can access the target user information in the client database 302, and then push the information to the mobile device STA with the MAC address stored in the target database 102 For example, push recommendations that meet the shopping habits, age, and preferences of the target user.
(8)又,上述所提及的伺服器,皆可具備邏輯運算、暫存運算結果、保存執行指令位置等功能,且其本身可為一實體的伺服器、一虛擬機器(VM)、或一虛擬專屬主機(Virtual Private Server),但均不以此為限。 (8) In addition, the servers mentioned above can all have functions such as logical operations, temporary storage of operation results, storage of execution instruction positions, etc., and they can be a physical server, a virtual machine (VM), or A virtual private server, but not limited to this.
請參閱「第3圖」,圖中所示為本發明之實施流程圖,並請搭配參閱「第2圖」及「第4圖」之資訊流示意圖,當複數個行動裝置STA進入Wi-Fi設備10的一通訊範圍後,本發明所揭之基於Wi-Fi探測的資訊推薦與通知系統1的實施方法如下:(1)接收探測請求(步驟S1):Wi-Fi設備10持續地從各行動裝置STA接收包含一MAC位址的一探測請求;(2)MAC位址比對(步驟S2):Wi-Fi設備10以MAC位址為索引,與Wi-Fi設備10之目標資料庫102預先儲存的一MAC位址清單進行一比對程序,若比對程序之結果為吻合,則Wi-Fi設備10判定發送探測請求的行動裝置STA為一目標端40的一目標裝置STA_O;(3)上傳至私有雲(步驟S3):Wi-Fi設備10將目標裝置STA_O的探測請求的封包內容上傳至私有雲20的一雲端推送伺服器201,亦將各行動裝置STA的各探測請求的封包內容、及關聯於各行動裝置STA之MAC位址的 一點位資訊及一出現時間資訊,上傳至私有雲20的一雲端分析伺服器202;又,本實施例於較佳情況下,雲端推送伺服器201或雲端分析伺服器202從Wi-Fi設備10接收探測請求之封包內容的時間點,可依據不同時間單位進行設定,例如設定每30秒、每10分鐘、每小時、每天收集;(4)即時通知客戶端(步驟S4):雲端推送伺服器201從Wi-Fi設備10接收目標裝置STA_O的MAC位址、及關聯於目標裝置STA_O之MAC位址的一點位資訊及一出現時間資訊(即Wi-Fi設備10接收探測請求的時間點),並生成與發送一即時通知訊息至一內容伺服器301,以供內容伺服器301分析對目標裝置STA_O進行資訊推薦的成效,其中,所述點位資訊可為一Wi-Fi設備MAC位址、一SSID碼、一RSSI值(訊號強度值)、一距離資訊(依據RSSI值,可估算目標裝置STA_O與Wi-Fi設備10的距離)、一Wi-Fi設備位置資訊(例如經緯度資訊)、或一連線狀態資訊(即是否已與Wi-Fi設備10建立連線)之其中一種或其組合,又,所述的SSID碼可包括目標裝置STA_O曾經建立連線之其它Wi-Fi設備的SSID碼;(5)其後,內容伺服器301可串接數據管理平台2022而連線至雲端分析伺服器202,並可基於雲端分析伺服器202之分析資料庫2021的數據,調整對目標裝置STA_O進行資訊推薦的內容或時間,並更新至儲存有目標用戶資訊的客戶端資料庫302; (6)又,雲端分析伺服器202進行所述的行為分類分析時,可對與各行動裝置STA建立有映射關係的各MAC位址、各距離資訊、及各出現時間資訊執行行為分類分析,以對各行動裝置STA的探測請求予以標籤化,且本實施例於於較佳情況下,雲端分析伺服器202可進一步讀取分析資料庫2021,以提取與Wi-Fi設備10建立有映射關係的一客戶端ID、一Wi-Fi設備ID、或一圖資資訊(例如商家資訊)之任意組合,以不同的時間單位進行分割與整合,以實現符合客戶端30之各種需求的標籤化結果;(7)又,雲端分析伺服器202進行所述的人流分析時,可依據與各行動裝置STA建立有映射關係的距離資訊及各出現時間資訊依時序與位置的變化進行統計,以計算出一人流資訊,並儲存至分析資料庫2021,其中,所述人流資訊可為一人流路線、一人流分布、一來訪頻率等資訊。 Please refer to "Figure 3", which shows the implementation flow chart of the present invention, and please refer to the information flow diagrams of "Figure 2" and "Figure 4". When multiple mobile devices STA enter Wi-Fi After a communication range of the device 10, the implementation method of the information recommendation and notification system 1 based on Wi-Fi detection disclosed in the present invention is as follows: (1) Receive a detection request (step S1): The Wi-Fi device 10 continuously receives The mobile device STA receives a detection request including a MAC address; (2) MAC address comparison (step S2 ): The Wi-Fi device 10 uses the MAC address as an index, and the target database 102 of the Wi-Fi device 10 Perform a comparison procedure with a pre-stored MAC address list. If the result of the comparison procedure is consistent, the Wi-Fi device 10 determines that the mobile device STA sending the detection request is a target device STA_O of a target terminal 40; (3) ) Upload to the private cloud (step S3): The Wi-Fi device 10 uploads the packet content of the detection request of the target device STA_O to a cloud push server 201 of the private cloud 20, and also sends the packet of each detection request of each mobile device STA The content, a bit information and an appearance time information associated with the MAC address of each mobile device STA are uploaded to a cloud analysis server 202 of the private cloud 20; in addition, in this embodiment, the cloud push server The time point when the device 201 or the cloud analysis server 202 receives the packet content of the detection request from the Wi-Fi device 10 can be set according to different time units, for example, set to collect every 30 seconds, every 10 minutes, every hour, and every day; (4) ) Notify the client in real time (step S4): The cloud push server 201 receives from the Wi-Fi device 10 the MAC address of the target device STA_O, a bit information associated with the MAC address of the target device STA_O, and an appearance time information ( That is, the time point at which the Wi-Fi device 10 receives the detection request), and generates and sends an instant notification message to a content server 301 for the content server 301 to analyze the effectiveness of information recommendation for the target device STA_O, where the Point information can be a Wi-Fi device MAC address, an SSID code, an RSSI value (signal strength value), and a distance information (based on the RSSI value, the distance between the target device STA_O and the Wi-Fi device 10 can be estimated), One or a combination of Wi-Fi device location information (such as latitude and longitude information) or connection status information (that is, whether a connection has been established with the Wi-Fi device 10), and the SSID code may include the target The SSID code of other Wi-Fi devices that the device STA_O has established connection with; (5) After that, the content server 301 can be connected to the data management platform 2022 to connect to the cloud analysis server 202, and can be based on the cloud analysis server 202 analyzes the data in the database 2021 and adjusts the content or time of the information recommendation for the target device STA_O And update to the client database 302 storing target user information; (6) In addition, when the cloud analysis server 202 performs the behavior classification analysis, it can establish a mapping relationship for each MAC with each mobile device STA Perform behavior classification analysis on the address, each distance information, and each appearance time information to tag the detection request of each mobile device STA, and in this embodiment, in a better case, the cloud analysis server 202 can further read Analyze the database 2021 to extract any combination of a client ID, a Wi-Fi device ID, or a map information (such as business information) that has a mapping relationship with the Wi-Fi device 10, in different time units Segmentation and integration to achieve tagging results that meet the various needs of the client 30; (7) In addition, when the cloud analysis server 202 performs the aforementioned traffic analysis, it can establish a mapping relationship with each mobile device STA based on distance information And each occurrence time information is counted according to the change of time sequence and location to calculate a flow of people information, and store it in the analysis database 2021, where the flow of people information can be a flow of people route, a flow of people distribution, a frequency of visits and other information .
請參閱「第5圖」,圖中所示為本發明之另一實施例(一)之方塊與資訊流示意圖,並請搭配參閱「第2圖」至「第4圖」,如「第5圖」所示,Wi-Fi設備10可包含與通訊模組101資訊連結的一過濾模組104,其用以對各行動裝置STA的各探測請求均執行一資料過濾程序,而過濾後的探測請求的封包內容,即可連同於所述的點位資訊與出現時間資訊,一同上傳至雲端分析伺服器202;依此,本發明之步驟 S3於實施時,Wi-Fi設備10進行上傳前,均可先經過加密,並可進一步基於下述的過濾機制,執行資料過濾程序:(A)排除預先安排於Wi-Fi設備10周邊之工作人員所持行動裝置STA的MAC位址;或(B)排除行動裝置STA之停留時間未超出一預定閾值的MAC位址;或(C)排除各行動裝置STA所發送之虛擬MAC位址,但均不以此為限,藉此,可使雲端分析伺服器202執行所述的行為分類分析或人流分析的分析數據更為精確。 Please refer to "Figure 5", which shows a schematic diagram of the blocks and information flow of another embodiment (1) of the present invention. Please also refer to "Figure 2" to "Figure 4", such as "Figure 5 As shown in the figure, the Wi-Fi device 10 may include a filtering module 104 connected to the communication module 101, which is used to perform a data filtering process on each detection request of each mobile device STA, and the filtered detection The requested packet content can be uploaded to the cloud analysis server 202 together with the location information and the occurrence time information; accordingly, when step S3 of the present invention is implemented, before the Wi-Fi device 10 uploads, It can be encrypted first, and can be further implemented based on the following filtering mechanism to perform data filtering procedures: (A) Exclude the MAC address of the mobile device STA held by the staff prearranged around the Wi-Fi device 10; or (B) Exclude the MAC addresses whose stay time of the mobile device STA does not exceed a predetermined threshold; or (C) exclude the virtual MAC addresses sent by each mobile device STA, but not limited to this, so as to enable the cloud analysis server The analysis data of the behavior classification analysis or people flow analysis performed by the device 202 is more accurate.
請參閱「第6圖」,圖中所示為本發明之另一實施例(二)之方塊與資訊流示意圖,並請搭配參閱「第2圖」至「第4圖」,如「第6圖」所示,本發明之步驟S4於執行完畢後,若客戶端資料庫302所儲存的MAC位址有產生異動,內容伺服器301可使雲端推送伺服器201將客戶端資料庫302所儲存的MAC位址,更新至Wi-Fi設備10之目標資料庫102的MAC位址清單。 Please refer to "Figure 6", which shows a schematic diagram of the blocks and information flow of another embodiment (2) of the present invention. Please also refer to "Figure 2" to "Figure 4", such as "Figure 6 As shown in the figure, after step S4 of the present invention is executed, if the MAC address stored in the client database 302 is changed, the content server 301 can make the cloud push server 201 store the client database 302 The MAC address of is updated to the MAC address list of the target database 102 of the Wi-Fi device 10.
綜上可知,本發明所提出之基於Wi-Fi探測的資訊推薦與通知系統據以實施後,內容伺服器可從私有雲即時得知目標裝置的比對結果,並進一步於自身伺服器分析資訊推薦的成效,且私有雲所分析的數據亦可供內容伺服器調整對目標裝置進行資訊推薦的策略,再者,本發明透過雲端運算與邊緣運算作同步混合運算,可達成更佳的運算效率,以適用於具高即時性需求之內容伺服器的應用。 In summary, after the Wi-Fi detection-based information recommendation and notification system proposed by the present invention is implemented, the content server can learn the comparison result of the target device from the private cloud in real time, and further analyze the information on its own server The performance of recommendation, and the data analyzed by the private cloud can also be used by the content server to adjust the strategy of recommending information to the target device. Furthermore, the present invention uses cloud computing and edge computing for synchronous hybrid computing to achieve better computing efficiency , Which is suitable for content server applications with high real-time requirements.
唯,以上所述者,僅為本發明之較佳之實施例而已,並非用以限定本發明實施之範圍;任何熟習此技藝者,在不脫離本發明之精神與範圍下所作之均等變化與修飾,皆應涵蓋於本發明之專利範圍內。 However, the above are only the preferred embodiments of the present invention and are not intended to limit the scope of implementation of the present invention; anyone who is familiar with this technique can make equal changes and modifications without departing from the spirit and scope of the present invention , Should be covered in the patent scope of the present invention.
綜上所述,本發明係具有「產業利用性」、「新穎性」與「進步性」等專利要件;申請人爰依專利法之規定,向鈞局提起發明專利之申請。 To sum up, the present invention has patent requirements such as "industrial applicability", "novelty" and "advancedness"; the applicant filed an application for a patent for invention with the Bureau in accordance with the provisions of the Patent Law.
1‧‧‧基於Wi-Fi探測的資訊推薦與通知系統 1. Information recommendation and notification system based on Wi-Fi detection
10‧‧‧Wi-Fi設備 10‧‧‧Wi-Fi equipment
20‧‧‧私有雲 20‧‧‧Private Cloud
201‧‧‧雲端推送伺服器 201‧‧‧Cloud Push Server
202‧‧‧雲端分析伺服器 202‧‧‧Cloud Analysis Server
30‧‧‧客戶端 30‧‧‧Client
301‧‧‧內容伺服器 301‧‧‧Content Server
302‧‧‧客戶端資料庫 302‧‧‧Client database
40‧‧‧目標端 40‧‧‧Target
STA_O‧‧‧目標裝置 STA_O‧‧‧Target device
STA‧‧‧行動裝置 STA‧‧‧Mobile device

Claims (12)

  1. 一種基於Wi-Fi探測的資訊推薦與通知系統,包含:一Wi-Fi設備,具有一目標資料庫,該Wi-Fi設備供以於複數個行動裝置進入該Wi-Fi設備之一通訊範圍後,持續地從各該行動裝置接收一探測請求,並以各該探測請求的一MAC位址為索引,與該目標資料庫儲存的一MAC位址清單進行一比對程序,且若該比對程序之結果若為吻合,該Wi-Fi設備判定發送該探測請求的該行動裝置為一目標裝置;一雲端推送伺服器,與該Wi-Fi設備資訊連結,供以從該Wi-Fi設備接收該目標裝置的該MAC位址、及關聯於該目標裝置之MAC位址的一點位資訊與一出現時間資訊,並生成一即時通知訊息;一雲端分析伺服器,分別與該Wi-Fi設備及該雲端推送伺服器資訊連結,供以從該Wi-Fi設備接收各該行動裝置之各該探測請求的封包內容後,對各該行動裝置執行一行為分類分析或一人流分析,且該雲端分析伺服器與該雲端推送伺服器構成一私有雲;以及一內容伺服器,與該雲端推送伺服器資訊連結,供以接收該即時通知訊息後,分析對該目標裝置進行資訊推薦的成效。 An information recommendation and notification system based on Wi-Fi detection, comprising: a Wi-Fi device with a target database, the Wi-Fi device being used after a plurality of mobile devices enter the communication range of one of the Wi-Fi devices , Continuously receive a detection request from each mobile device, and use a MAC address of each detection request as an index to perform a comparison procedure with a MAC address list stored in the target database, and if the comparison is If the results of the procedures are consistent, the Wi-Fi device determines that the mobile device that sent the detection request is a target device; a cloud push server is connected to the Wi-Fi device information for receiving from the Wi-Fi device The MAC address of the target device, a bit information and an appearance time information associated with the MAC address of the target device, and generate a real-time notification message; a cloud analysis server, respectively, with the Wi-Fi device and The cloud push server information link for receiving the packet content of each detection request of each mobile device from the Wi-Fi device, and perform a behavior classification analysis or a traffic analysis on each mobile device, and the cloud analysis The server and the cloud push server constitute a private cloud; and a content server is connected with the cloud push server information for receiving the instant notification message and analyzing the effectiveness of information recommendation on the target device.
  2. 如申請專利範圍第1項所述的基於Wi-Fi探測的資訊推薦與通知系統,其中,該點位資訊為一Wi-Fi設備MAC位址、一SSID碼、一RSSI值、一距離資訊、一Wi-Fi設備位置資 訊、或一連線狀態資訊之其中一種或其組合。 For example, the information recommendation and notification system based on Wi-Fi detection described in item 1 of the scope of patent application, wherein the point information is a Wi-Fi device MAC address, an SSID code, an RSSI value, a distance information, 1 Wi-Fi device location information One or a combination of information, or a connection status information.
  3. 如申請專利範圍第2項所述的基於Wi-Fi探測的資訊推薦與通知系統,該雲端分析伺服器儲存有一程式指令,載入並執行後對與各該行動裝置建立有映射關係的各該MAC位址、各該距離資訊、及各該出現時間資訊執行該行為分類分析,以對各該探測請求的封包內容予以標籤化,並儲存於一分析資料庫。 For example, the information recommendation and notification system based on Wi-Fi detection described in item 2 of the scope of patent application, the cloud analysis server stores a program command, which is loaded and executed to establish a mapping relationship with each mobile device. The MAC address, each of the distance information, and each of the appearance time information perform the behavior classification analysis to tag the packet content of each detection request and store it in an analysis database.
  4. 如申請專利範圍第2項所述的基於Wi-Fi探測的資訊推薦與通知系統,該雲端分析伺服器儲存有一程式指令,載入並執行後依據與各該行動裝置建立有映射關係的各該距離資訊、各該出現時間資訊、及各該Wi-Fi設備位置資訊執行該人流分析,計算出一人流資訊,並儲存於一分析資料庫。 For example, the information recommendation and notification system based on Wi-Fi detection described in item 2 of the scope of patent application, the cloud analysis server stores a program command, which is loaded and executed according to each mobile device that has a mapping relationship with each mobile device. The distance information, the appearance time information, and the location information of each Wi-Fi device perform the flow analysis to calculate a flow information and store it in an analysis database.
  5. 如申請專利範圍第3項或第4項所述的基於Wi-Fi探測的資訊推薦與通知系統,一客戶端資料庫與該內容伺服器呈資訊連結,其儲存有與該目標裝置的該MAC位址形成關聯的一目標用戶資訊,且該內容伺服器基於該雲端分析伺服器的該分析資料庫,可修正該目標用戶資訊、或調整對該目標裝置進行資訊推薦的內容或時間。 For example, the information recommendation and notification system based on Wi-Fi detection described in item 3 or item 4 of the scope of patent application, a client database is linked to the content server, which stores the MAC of the target device The address forms an associated target user information, and the content server can revise the target user information based on the analysis database of the cloud analysis server, or adjust the content or time of information recommendation for the target device.
  6. 如申請專利範圍第5項所述的基於Wi-Fi探測的資訊推薦與通知系統,其中,該雲端推送伺服器亦用以將該客戶端資料庫所儲存的該MAC位址,更新至該Wi-Fi設備之該目標資料庫的該MAC位址清單。 For example, the information recommendation and notification system based on Wi-Fi detection described in item 5 of the scope of patent application, wherein the cloud push server is also used to update the MAC address stored in the client database to the Wi-Fi -The MAC address list of the target database of the Fi device.
  7. 一種基於Wi-Fi探測的資訊推薦與通知系統的實施方法, 當複數個行動裝置進入一Wi-Fi設備之一通訊範圍後,執行以下步驟:一接收探測請求步驟:該Wi-Fi設備持續地從各該行動裝置接收包含一MAC位址的一探測請求;一MAC位址比對步驟:該Wi-Fi設備以各該MAC位址為索引,與該Wi-Fi設備預先儲存的一MAC位址清單進行一比對程序,若該比對程序之結果為吻合,判定發送該探測請求的該行動裝置為一目標裝置;一上傳至私有雲步驟:該Wi-Fi設備將各該行動裝置的各該探測請求的封包內容上傳至一雲端分析伺服器,亦將該目標裝置的該探測請求的封包內容上傳至一雲端推送伺服器,且該雲端分析伺服器與該雲端推送伺服器構成一私有雲;一即時通知步驟:該雲端推送伺服器從該Wi-Fi設備接收該目標裝置的該MAC位址、及關聯於該目標裝置之該MAC位址的一點位資訊與一出現時間資訊,並發送一即時通知訊息至一內容伺服器,以供該內容伺服器分析對該目標裝置進行資訊推薦的成效;以及該內容伺服器連線至該雲端分析伺服器後,可讀取該雲端分析伺服器對各該行動裝置之各該探測請求的封包內容執行一行為分類分析或一人流分析的數據,以調整對該目標裝置進行資訊推薦的內容與時間。 An implementation method of information recommendation and notification system based on Wi-Fi detection, When a plurality of mobile devices enter the communication range of a Wi-Fi device, perform the following steps: a step of receiving a detection request: the Wi-Fi device continuously receives a detection request including a MAC address from each mobile device; A MAC address comparison step: the Wi-Fi device uses each MAC address as an index, and performs a comparison procedure with a MAC address list pre-stored by the Wi-Fi device, if the result of the comparison procedure is Match, it is determined that the mobile device that sent the detection request is a target device; an upload to private cloud step: the Wi-Fi device uploads the packet content of each detection request of each mobile device to a cloud analysis server, and Upload the packet content of the detection request of the target device to a cloud push server, and the cloud analysis server and the cloud push server form a private cloud; a real-time notification step: the cloud push server receives the Wi-Fi The Fi device receives the MAC address of the target device, a bit of information associated with the MAC address of the target device and an appearance time information, and sends an instant notification message to a content server for the content server The content server analyzes the effectiveness of information recommendation on the target device; and after the content server is connected to the cloud analysis server, the cloud analysis server can read and execute a packet content of each detection request of each mobile device The data of behavior classification analysis or a stream of people analysis is used to adjust the content and time of information recommendation for the target device.
  8. 如申請專利範圍第7項所述的基於Wi-Fi探測的資訊推薦與通知系統的實施方法,其中,該點位資訊為一Wi-Fi設 備MAC位址、一SSID碼、一RSSI值、一距離資訊、一Wi-Fi設備位置資訊、或一連線狀態資訊之其中一種或其組合。 For example, the implementation method of the information recommendation and notification system based on Wi-Fi detection described in item 7 of the scope of patent application, wherein the point information is a Wi-Fi device Prepare one or a combination of MAC address, an SSID code, an RSSI value, a distance information, a Wi-Fi device location information, or a connection status information.
  9. 如申請專利範圍第8項所述的基於Wi-Fi探測的資訊推薦與通知系統的實施方法,該雲端分析伺服器接收各該探測請求的封包內容後,進一步載入一程式指令,其執行後對與各該行動裝置建立有映射關係的各該MAC位址、各該距離資訊、及各該出現時間資訊執行該行為分類分析,以對各該探測請求的封包內容予以標籤化,並儲存至一分析資料庫。 For example, the implementation method of the information recommendation and notification system based on Wi-Fi detection described in item 8 of the scope of patent application. After the cloud analysis server receives the packet content of each detection request, it further loads a program command, which is executed Perform the behavior classification analysis on each MAC address, each distance information, and each occurrence time information that have a mapping relationship with each mobile device, so as to tag the packet content of each detection request and store it in 1. Analyze the database.
  10. 如申請專利範圍第8項所述的基於Wi-Fi探測的資訊推薦與通知系統的實施方法,該雲端分析伺服器接收各該探測請求的封包內容後,進一步載入一程式指令,其執行後依據與各該行動裝置建立有映射關係的各該距離資訊、各該出現時間資訊、及各該Wi-Fi設備位置資訊執行該人流分析,計算出一人流資訊,並儲存至一分析資料庫。 For example, the implementation method of the information recommendation and notification system based on Wi-Fi detection described in item 8 of the scope of patent application. After the cloud analysis server receives the packet content of each detection request, it further loads a program command, which is executed According to each of the distance information, each of the appearance time information, and each of the Wi-Fi device location information that have a mapping relationship with each of the mobile devices, perform the flow analysis to calculate a flow of people information and store it in an analysis database.
  11. 如申請專利範圍第9項或第10項所述的基於Wi-Fi探測的資訊推薦與通知系統的實施方法,該內容伺服器連線至該雲端分析伺服器後,可基於該雲端分析伺服器之該分析資料庫的數據,調整對該目標裝置進行資訊推薦的內容或時間,並儲存至一客戶端資料庫。 For example, the implementation method of the information recommendation and notification system based on Wi-Fi detection described in item 9 or item 10 of the scope of patent application, after the content server is connected to the cloud analysis server, it can be based on the cloud analysis server Analyze the data in the database, adjust the content or time of information recommendation on the target device, and store it in a client database.
  12. 如申請專利範圍第11項所述的基於Wi-Fi探測的資訊推薦與通知系統的實施方法,該即時通知步驟執行完畢後,若該客戶端資料庫所儲存的該MAC位址產生異動,進一步使該雲端推送伺服器將該客戶端資料庫所儲存的該 MAC位址,更新至該Wi-Fi設備所儲存的該MAC位址清單。 For example, the implementation method of the information recommendation and notification system based on Wi-Fi detection described in item 11 of the scope of patent application, after the instant notification step is executed, if the MAC address stored in the client database changes, further Make the cloud push server store the client database The MAC address is updated to the MAC address list stored in the Wi-Fi device.
TW107143796A 2018-12-06 2018-12-06 Information recommendation and notification system based on Wi-Fi detection and its implementation method capable of reducing establishment costs of hardware and software of client ends and simultaneously enabling client ends to real-time check information recommendation efficacy TW202023313A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
TW107143796A TW202023313A (en) 2018-12-06 2018-12-06 Information recommendation and notification system based on Wi-Fi detection and its implementation method capable of reducing establishment costs of hardware and software of client ends and simultaneously enabling client ends to real-time check information recommendation efficacy

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
TW107143796A TW202023313A (en) 2018-12-06 2018-12-06 Information recommendation and notification system based on Wi-Fi detection and its implementation method capable of reducing establishment costs of hardware and software of client ends and simultaneously enabling client ends to real-time check information recommendation efficacy

Publications (1)

Publication Number Publication Date
TW202023313A true TW202023313A (en) 2020-06-16

Family

ID=72175694

Family Applications (1)

Application Number Title Priority Date Filing Date
TW107143796A TW202023313A (en) 2018-12-06 2018-12-06 Information recommendation and notification system based on Wi-Fi detection and its implementation method capable of reducing establishment costs of hardware and software of client ends and simultaneously enabling client ends to real-time check information recommendation efficacy

Country Status (1)

Country Link
TW (1) TW202023313A (en)

Similar Documents

Publication Publication Date Title
US10834560B2 (en) System and method for event based internet of things (IoT) device status monitoring and reporting in a mobility network
US10601947B2 (en) Application service delivery through an application service avatar
US20200359171A1 (en) Autonomous pull and display of location based service applications by a mobile device based on context of the mobile device
Namiot et al. Geofence and network proximity
US10033582B2 (en) Management and beacon services of a beacon system
US10992769B2 (en) Data transmission method, apparatus and system
US9723428B2 (en) Internet-of-things system for public transportation service and method of operating same
US10492049B2 (en) Core network selection function in a radio access network for machine-to-machine (M2M) communications
US10397357B2 (en) Rural area network device
Lyu et al. LEAD: Large-scale edge cache deployment based on spatio-temporal WiFi traffic statistics
CN106878102B (en) People flow detection method and system based on network flow multi-field identification
EP2842356B1 (en) Updating subscription information
US20190019222A1 (en) User/group servicing based on deep network analysis
US20210029757A1 (en) System and method to deliver companion experiences to handheld devices
US10212250B2 (en) Hardware ID based user profile identification and sharing
TW202023313A (en) Information recommendation and notification system based on Wi-Fi detection and its implementation method capable of reducing establishment costs of hardware and software of client ends and simultaneously enabling client ends to real-time check information recommendation efficacy
Galati et al. Delay tolerant networking for the socio-economic development in rural South Africa
WO2018010366A1 (en) Information synchronization method and device
EP3040931A1 (en) Application service delivery through an application service avatar
US10846720B1 (en) Systems and methods for creating pattern awareness and proximal deduction of wireless devices
US10839411B2 (en) Validation in a decentralized network
US20200396134A1 (en) Apparatus and method for object classification based on imagery
US20210043074A1 (en) Apparatus and method to facilitate an iterative, machine learning based traffic classification
US20200413113A1 (en) Video object tagging based on machine learning
US20190289043A1 (en) Content delivery and consumption with affinity-based remixing