WO2020030140A1 - 一种信源图形化近场识别方法 - Google Patents

一种信源图形化近场识别方法 Download PDF

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Publication number
WO2020030140A1
WO2020030140A1 PCT/CN2019/100053 CN2019100053W WO2020030140A1 WO 2020030140 A1 WO2020030140 A1 WO 2020030140A1 CN 2019100053 W CN2019100053 W CN 2019100053W WO 2020030140 A1 WO2020030140 A1 WO 2020030140A1
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Prior art keywords
beacon
beacons
graphic
pattern
signal
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PCT/CN2019/100053
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English (en)
French (fr)
Inventor
夏建明
褚婷
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Opple Lighting Co Ltd
Suzhou Op Lighting Co Ltd
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Opple Lighting Co Ltd
Suzhou Op Lighting Co Ltd
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Publication of WO2020030140A1 publication Critical patent/WO2020030140A1/zh
Priority to US17/138,579 priority Critical patent/US11835614B2/en
Anticipated expiration legal-status Critical
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S1/00—Beacons or beacon systems transmitting signals having a characteristic or characteristics capable of being detected by non-directional receivers and defining directions, positions, or position lines fixed relatively to the beacon transmitters; Receivers co-operating therewith
    • G01S1/02—Beacons or beacon systems transmitting signals having a characteristic or characteristics capable of being detected by non-directional receivers and defining directions, positions, or position lines fixed relatively to the beacon transmitters; Receivers co-operating therewith using radio waves
    • G01S1/022—Means for monitoring or calibrating
    • G01S1/024—Means for monitoring or calibrating of beacon transmitters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
    • G01S5/14—Determining absolute distances from a plurality of spaced points of known location
    • 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S1/00—Beacons or beacon systems transmitting signals having a characteristic or characteristics capable of being detected by non-directional receivers and defining directions, positions, or position lines fixed relatively to the beacon transmitters; Receivers co-operating therewith
    • G01S1/02—Beacons or beacon systems transmitting signals having a characteristic or characteristics capable of being detected by non-directional receivers and defining directions, positions, or position lines fixed relatively to the beacon transmitters; Receivers co-operating therewith using radio waves
    • G01S1/04—Details
    • G01S1/042—Transmitters
    • G01S1/0428—Signal details
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/901—Indexing; Data structures therefor; Storage structures
    • G06F16/9024—Graphs; Linked lists
    • 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
    • H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S1/00—Beacons or beacon systems transmitting signals having a characteristic or characteristics capable of being detected by non-directional receivers and defining directions, positions, or position lines fixed relatively to the beacon transmitters; Receivers co-operating therewith
    • G01S1/02—Beacons or beacon systems transmitting signals having a characteristic or characteristics capable of being detected by non-directional receivers and defining directions, positions, or position lines fixed relatively to the beacon transmitters; Receivers co-operating therewith using radio waves
    • G01S1/04—Details
    • G01S1/042—Transmitters
    • G01S1/0423—Mounting or deployment thereof
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/01—Determining conditions which influence positioning, e.g. radio environment, state of motion or energy consumption
    • G01S5/019—Energy consumption

Definitions

  • the invention belongs to the field of radio frequency, and particularly relates to the field of near-field identification of radio frequency signals.
  • a beacon based on radio frequency technology is a small information base station that can be used in all mobile-related activities such as indoor navigation, mobile payment, in-store shopping guides, flow analysis, positioning tags, asset tracking, and so on.
  • Beacons send messages to mobile phones, which can help businesses optimize business strategies and provide services using the user's geographic location.
  • Merchants can use beacon devices to inform consumers of new products, provide vouchers, and encourage consumers to make impulse purchases. It can also use the data obtained by the beacon technology, such as geographic location and purchase records, to provide more consumer satisfaction information and better provide services.
  • Intelligent message push, product advertisement promotion, indoor positioning and navigation are gradually becoming the trend.
  • beacon products are essential hardware devices.
  • Apple ibeacon, WeChat shook, and Internet giants such as Ali Dingyao also promoted the development of beacon applications.
  • the main principle of a beacon is to transmit a radio frequency in a specified channel, including a data packet. After the receiving end obtains it, it analyzes it and processes it accordingly.
  • RSSI-based ranging applications rely heavily on stable radio frequency signals.
  • there are many factors such as site, deployment location, hardware devices, and power supply that cause instability in the actual application. The entire system will also be affected, which can easily lead to target recognition. The accuracy is poor.
  • the purpose of the present invention is to solve the problems of poor accuracy, long recognition time, and random interference in the target recognition process, and to propose a method for graphically identifying near-field sources.
  • a method for graphical near-field identification of a beacon source comprising: filtering a beacon signal according to a preset filtering condition; matching the filtered beacon with all beacons in a beacon pattern, Get the beacon pattern with the highest number of matching beacons and the number of beacons matching the beacon pattern; determine whether the number of beacons matching the beacon pattern is lower than the minimum number of beacons, and discard all if it is lower Filter beacons; if not, determine whether the number of beacons that match the beacon pattern meets the standard number of beacon patterns; if so, directly determine the target location in the scene where the beacon pattern is located; if not If so, the RSSI value of the beacon signal is used to estimate the distance to the beacon, and the position of the target is determined by a multi-point algorithm, so as to reconstruct the basic figure composed of the signal source and quickly identify the area.
  • the beacon radio frequency source signal is searched regularly, and the searched beacon signal is analyzed.
  • a beacon graphic database is obtained from the background; the beacon graphic database contains the beacon graphic information.
  • the beacon graphic information includes the shape of the beacon graphic, the number of each beacon in the beacon graphic, and the coordinates of each beacon in its plane.
  • the judging whether the number of beacons with the largest number of matches meets the criterion number of beacon graphics includes determining whether the number of the beacons with the highest number of matches exceeds the effective ratio of the total number of beacons in the beacon pattern.
  • a beacon graphic near-field identification device comprising: a filtering module for filtering a beacon signal according to a preset filtering condition; and a matching module for filtering a filtered beacon Match with all beacons in the beacon pattern to obtain the beacon pattern with the highest number of successful beacon matches and the number of beacons that match the beacon pattern; and a judgment module for determining a match with the beacon pattern Whether the number of beacons is lower than the minimum number of beacons to be judged, if it is lower, all filtered beacons are discarded; if not, it is judged whether the number of beacons matching the beacon pattern meets the standard number of beacon patterns ; If it does, you can directly determine that the target location is in the scene where the beacon graphic is located. If it does not, use the RSSI value of the beacon signal to estimate the distance to the beacon, and use a multi-point algorithm to determine the location of the target.
  • the basic pattern composed of the signal source can be constructed to quickly identify the area.
  • the device further includes a search module and a parsing module;
  • a search module is configured to regularly search a beacon radio frequency source signal before filtering the beacon signal
  • the analysis module is used for analyzing the searched beacon signal.
  • the device further includes an acquisition module
  • An obtaining module is configured to obtain a beacon graphic database from the background before the timing search for a beacon radio frequency source signal, wherein the beacon graphic database contains beacon graphic information.
  • the beacon graphic information includes the shape of the beacon graphic, the number of each beacon in the beacon graphic, and the coordinates of each beacon in its plane.
  • the judging whether the number of the beacons with the largest number of matches meets the criterion number of the beacon pattern includes determining whether the number of the beacons with the highest number of matches exceeds half of the total number of the beacons in the beacon pattern.
  • the present invention uses a beacon graphic combination to reduce the influence of the signal source unstable region identification through the method of source filtering and reconstruction, and a mechanism for detecting the match between the relative RSSI value of the radio frequency and the initial graphic To mitigate the effects of differences.
  • the various instabilities of the beacon itself and the environment can be quickly and accurately completed by regional object recognition through the processing of the graphical reconstruction method in the present invention.
  • FIG. 1 is a schematic diagram of a working principle of a beacon according to a preferred embodiment of the present invention
  • FIG. 2 is a diagram illustrating an example of deployment of a linear beacon according to a preferred embodiment of the present invention
  • FIG. 3 is a diagram illustrating an example of deployment of a rectangular beacon according to a preferred embodiment of the present invention
  • FIG. 4 is a diagram illustrating an example of deployment of a circular beacon according to a preferred embodiment of the present invention.
  • FIG. 5 is a diagram illustrating an example of deployment of irregular graphic beacons in accordance with a preferred embodiment of the present invention.
  • FIG. 6 is a schematic diagram of a method for identifying a near-field graphical source in accordance with a preferred embodiment of the present invention.
  • FIG. 7 is a diagram illustrating an example of a calculation method of an irregular graphic beacon according to a preferred embodiment of the present invention.
  • the beacon-based radio frequency of the present invention is used as a basic transmission source, and is dynamically configured through a physical end adaptation environment, and an application end can be quickly identified. Such a scene can be used for store product promotion, advertisement precision push, and the like.
  • FIG. 1 is a schematic diagram showing the working principle of a beacon according to the present invention.
  • connection configuration system parameters such as broadcast transmission interval, transmission power intensity, data packet content, RSSI calibration, etc. are allowed to be configured through the configuration tool.
  • the RSSI calibration is completed according to the application.
  • the data packets of the prescribed format are normally sent according to the protocol, such as UUID or URL, etc., and the sleep low power consumption mode is entered after the transmission is completed.
  • the main controller of the beacon reads the battery power through the digital-to-analog conversion port, and adds a data packet to send a power alarm when the power reaches the warning threshold. Until the user replaces the battery and the battery capacity is higher than the warning threshold, no warning packet will be sent.
  • This embodiment is a graphical deployment of beacons.
  • the deployment scenarios of beacons in actual applications are different, and may be rectangular open office areas, irregular linear shopping malls, curved mines, etc. Therefore, the final form of deployment may be a point, a straight line, a rectangle, a circle, or an irregular figure.
  • the only common requirement is to be able to eliminate interference from various environmental blind sources and accurately and quickly identify the correct source.
  • the main steps of graphic deployment are as follows:
  • 2 to 5 are schematic diagrams of beacon deployment coordinates of linear, rectangular, circular, and irregular graphics, respectively.
  • the source graphic coordinate table formed by the linear beacon deployment is: ⁇ 0,0 ⁇ , ⁇ 0, AB ⁇ , ⁇ 0, AC ⁇ , ⁇ 0, AD ⁇ , ⁇ 0, AE ⁇ ... ⁇ ;
  • the source graphic coordinate table formed by the rectangular beacon deployment is: ⁇ 0,0 ⁇ , ⁇ 0, CA ⁇ , ⁇ CD, 0 ⁇ , ⁇ CA, CD ⁇ ;
  • the source graphic coordinate table formed by the deployment of circular beacons is: ⁇ BC / 2,0 ⁇ , ⁇ 0, BC / 2 ⁇ , ⁇ BC / 2, BC ⁇ , ⁇ BC, BC / 2 ⁇ ;
  • the source graphic coordinate table formed by the deployment of irregular graphic beacons is: ⁇ 0, 0 ⁇ , ⁇ Xb, Yb ⁇ , ⁇ Xc, Yc ⁇ , ⁇ Xd, Yd ⁇ , ⁇ Xe, Ye ⁇ .
  • the device for realizing near-field identification is a wireless radio frequency receiving terminal, such as a mobile phone, work card, etc., the radio frequency receiving terminal starts to search, searches for radio frequency transmission packets, and records statistics;
  • Filtering condition 2 the number of times that the valid beacon of the same beacon is received, and filtering out the beacons that are less than the valid number;
  • the rough identification of the source is completed.
  • the relevant parameters of the above steps are adjusted according to different environments.
  • Environmental factors include response speed, regional accuracy, and mutual interference.
  • the radio frequency receiving terminal obtains a beacon graphic database from the background before searching for a beacon RF source signal at a regular time, and the beacon graphic related information comes from the beacon graphic database; the beacon graphic information includes the shape of the beacon graphic, The number of each beacon in the beacon graphic, and the coordinates of each beacon.
  • beacon pattern A For example, a total of 4 beacons are matched with beacon pattern A, a total of 2 beacons are matched with beacon pattern B, and a total of 1 beacon is matched with beacon pattern C.
  • the beacon pattern with the highest number of successful beacon matches is The beacon pattern A, and the number of beacons matching the beacon pattern A is four.
  • the minimum number of beacons to be set is set to 2. The scene, and the total number of beacons for each graphic are adjusted;
  • the judgment condition is not an absolute limit condition, and can be set according to the number of beacons arranged in the scene and the interference of the scene;
  • the RSSI value of the standard signal source is used to estimate the distance of the target, and the multi-point algorithm is used to calculate the position.
  • the basic figure composed of the signal source is reconstructed to quickly identify the area.
  • the filtered beacons are beacon A, beacon B, and beacon D; the distance from the terminal to the three points of beacons A, B, and D is calculated according to the RSSI values of beacons A, B, and D, and RA, RB, RD; the mapping points of the beacons A, B, D to the plane where the terminal is located are A1, B1, D1; the distance from the terminal to A1 Where h is the height from the beacon to the scene ground, 1.5 is the normal terminal-to-ground height; similarly, the distance from the terminal to B1 is The distance from the terminal to D1 is
  • the position of the terminal relative to A1, B1, and D1 can be determined.
  • the graphics can be reconstructed.
  • C1 and E1 that is, the position of the terminal relative to the irregular figure can be obtained, thereby identifying the area where the terminal is located.
  • the beacon in the present invention can be integrated into different forms of lamps, such as flat lamps in office places, downlights and spotlights in shopping malls, and outdoor courtyard lights in residential areas. Beacons can be completely hidden in appearance, especially for outdoor waterproofing, Problems such as dust protection have been solved in the lamp itself.
  • the beacon can be powered by the power supply line of the lamp, which solves the problem that the beacon cannot be continuously powered in the prior art.

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Abstract

本发明涉及无线射频信号的近场识别领域。本发明实施例中的信源图形化近场识别方法，根据预先设置的过滤条件对信标信号进行初次过滤；将过滤后的有效信标与所有信标图形中的信标进行匹配，得到信标匹配数量最多的信标图形，以及与该信标图形匹配的信标数；判断与该信标图形匹配的信标数是否低于信标判断最低数量要求，如低于则丢弃本次所有过滤信标信息；如不低于，则判断与该信标图形匹配的信标数，是否符合信标图形基准数量条件；如果符合，则可直接确定目标位置在信标图形所在场景内；如果不符合，则进行图形化重构识别。本发明通过信标图形化组合，可以快速准确地完成区域目标识别。

Description

一种信源图形化近场识别方法 技术领域
本发明属于无线射频领域，具体涉及无线射频信号的近场识别领域。
背景技术
基于无线射频技术的信标就是一个小型的信息基站，可以应用在室内导航、移动支付、店内导购、人流分析、定位标签、资产跟踪等等所有与流动相关的活动之中。
信标给手机发送信息，能帮助商家优化经营策略，利用用户的地理位置提供服务。商家可以利用信标设备通知消费者有哪些新产品，提供代金券，鼓励消费者的冲动性消费。也能用信标技术所取得的数据，比如地理位置和购买记录，提供更多消费者满意度信息，更好地提供服务。智能消息推送、产品广告推广、室内定位导航正在逐渐成为趋势，要实现这些功能，信标产品作为基础的硬件设备，不可或缺。同时苹果ibeacon、微信摇一摇，阿里钉钉等互联网巨头也在推动beacon应用发展。
信标的主要原理是在规定的信道内发射无线射频，包含数据包，接收端获取到之后进行解析做出相应的处理。但是基于RSSI的测距的应用就非常依赖稳定的射频信号，但是实际应用中存在场地、部署位置、硬件器件、供电等很多方面的因素造成不稳定，整个系统也会受到影响，易导致目标识别的准确性较差。
发明内容
本发明的目的，就是解决当前在目标识别过程中的准确性差、识别时间长、随机干扰等的问题，提出一种信源图形化近场识别方法。
本发明的技术方案：一种信源图形化近场识别方法，包括：根据预先设置的过滤条件对信标信号进行过滤；将过滤后的信标与所有信标图形中的信标进 行匹配，得到信标匹配数量最多的信标图形，以及与该信标图形匹配的信标数；判断与该信标图形匹配的信标数是否低于信标判断最低数量要求，如低于则丢弃所有过滤信标；如不低于，则判断与该信标图形匹配的信标数，是否符合信标图形基准数量条件；如果符合，则可直接确定目标位置在信标图形所在场景内；如果不符合，则通过信标信号的RSSI数值来估算与信标的距离，并通过多点算法来确定目标所在的位置，从而重构得到信号源组成的基本图形，快速识别区域。
进一步的，在对信标信号进行过滤之前，定时搜索信标射频源信号，并对搜索到信标信号进行解析。
进一步的，在所述定时搜索信标射频源信号之前，从后台获取信标图形数据库；其中信标图形数据库中包含信标图形信息。
进一步的，所述信标图形信息包括，信标图形的形状，信标图形中各个信标的编号，以及各个信标在其平面内的坐标。
进一步的，所述判断匹配数量最多的信标数，是否符合信标图形基准数量条件，包括，判断匹配数量最多的信标数，是否超过该信标图形中信标总数的有效比例。
本发明的另一个技术方案：一种信源图形化近场识别装置，包括：过滤模块，用于根据预先设置的过滤条件对信标信号进行过滤；匹配模块，用于将过滤后的信标与所有信标图形中的信标进行匹配，得到信标匹配成功数量最多的信标图形，以及与该信标图形匹配的信标数；以及，判断模块，用于判断与该信标图形匹配的信标数是否低于信标判断最低数量要求，如低于则丢弃所有过滤信标；如不低于，则判断与该信标图形匹配的信标数，是否符合信标图形基准数量条件；如果符合，则可直接确定目标位置在信标图形所在场景内；如果不符合，则通过信标信号的RSSI数值来估算与信标的距离，并通过多点算法来确定目标所在的位置，从而重构得到信号源组成的基本图形，快速识别区域。
进一步的，该装置，还包括搜索模块和解析模块；
其中，搜索模块，用于在对信标信号进行过滤之前，定时搜索信标射频源信号；
解析模块，用于对搜索到信标信号进行解析。
进一步的，该装置，还包括获取模块；
获取模块，用于在所述定时搜索信标射频源信号之前，从后台获取信标图形数据库；其中，信标图形数据库中包含信标图形信息。
进一步的，所述信标图形信息包括，信标图形的形状，信标图形中各个信标的编号，以及各个信标在其平面内的坐标。
进一步的，所述判断匹配数量最多的信标数，是否符合信标图形基准数量条件，包括，判断匹配数量最多的信标数，是否超过该信标图形中信标总数的一半。
本发明的有益效果为：本发明通过信标图形化组合，经过信源过滤与重构的方法来减弱信号源不稳定区域识别造成的影响，以及通过射频相对RSSI数值与初始图形匹配检测的机制来减弱差异性造成的影响。总体来说，信标本身和环境的各种不稳定性在本发明中通过图形化重构方法的处理，可以快速准确地完成区域目标识别。
本方案经过实际配置后在具体环境中实施时，相关图形坐标信息均已经落实到终端，不需要再进行后台的交互，算法都是本地化计算，加速识别效率。
附图说明
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简要介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域的普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1为符合本发明优选实施例的信标工作原理示意图；
图2为符合本发明优选实施例的线形信标部署示例图；
图3为符合本发明优选实施例的矩形信标部署示例图；
图4为符合本发明优选实施例的圆形信标部署示例图；
图5为符合本发明优选实施例的不规则图形信标部署示例图；
图6为符合本发明优选实施例的信源图形化近场识别方法示意图；
图7为符合本发明优选实施例的不规则图形信标计算方式示例图。
具体实施方式
为了使本发明的目的、技术方案和优点更加清楚，下面将结合附图对本发明作进一步地详细描述，显然，所描述的实施例仅仅是本发明一部份实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其它实施例，都属于本发明保护的范围。
下面结合附图对本发明作进一步说明。
实施例一
本发明基于信标的无线射频作为基本发射源，通过物理端适配环境进行动态配置，应用端可以快速识别，这样的场景可以店铺商品推介、广告精准推送等。
图1所示为本发明的信标工作原理示意图。
(1)物理上电1分钟内，允许通过配置工具进行连接配置系统参数，如广播发射间隔、发射功率强度、数据包内容、RSSI校准等的配置，其中RSSI校准根据应用场合完成设置。
(2)完成配置或者过了默认配置时间之后正常按照协议进行规定格式数据包的发送，比如UUID或者URL等等，同时发送完成之后进入睡眠低功耗模式。
(3)信标主控制器通过数模转换口读取电池电量，当电量达到预警阈值的时间隔时间段加入发送电量告警的数据包。直至用户更换电池，并且电池容量高于预警阈值时，不再发预警包。
实施例二
该实施例为信标图形化部署，信标在实际应用过程中部署的场景是各不相同的，可能是矩形开放式办公区、不规则线性商场、曲线型矿井等。因此部署最终的形态可能是一个点、一条直线、一个矩形、圆形或者不规则图形等，唯一共同的要求就是能排除各种环境盲源的干扰，准确、快速的识别正确的信源。图形部署主要步骤如下：
(1)分配区域的信标数量x和编号(比如信标点A：minor＝49276、B：minor＝49277、C：minor＝49278、D：minor＝49279、E：minor＝49280)；
(2)设定区域的信标基准图形，图形中的信标处于同一平面内，且该平面和场景内的地面保持平行，且通过测量获取信标图形平面与场景内地面的距离h(比如定义1：线型；2：矩形；3：圆形；4：不规则图形)；
(3)根据信标在平面内的位置，设置信标的坐标信息；
{2，49276(a1,b1)，49277(a2,b2)，49278(a3,b3)，49279(a4,b4)}
(4)检测并生成图形基准表，并将生成的图形基准表上传至后台服务器。
图2-图5，分别为线形、矩形、圆形，以及不规则图形的信标部署坐标示意图。
如图2所示，线形信标部署形成的信源图形坐标表为：{{0,0}，{0，AB}，{0，AC}，{0，AD}，{0，AE}…}；
如图3所示，矩形信标部署形成的信源图形坐标表为：{{0,0}，{0，CA}，{CD，0}，{CA，CD}}；
如图4所示，圆形信标部署形成的信源图形坐标表为：{{BC/2,0}，{0，BC/2}，{BC/2，BC}，{BC，BC/2}}；
如图5所示，不规则图形信标部署形成的信源图形坐标表为：{{0，0}，{Xb，Yb}，{Xc，Yc}，{Xd，Yd}，{Xe，Ye}}。
实施例三
如图6所述，本发明实现近场识别的设备是无线射频接收终端，比如手机、工卡等，无线射频接收终端启动开始，搜索无线射频发射包，并记录统计；
1)定时(比如3秒钟)搜索所有信标射频源信号，并对搜索到信标信号进行解析；
解析内容包括：本批信源信标的UUID和major(比如UUID＝FDA50693-A4E2-4FB1-AFCF-C6EB07647825，major＝10106)，以及信源的RSSI值；
2)根据预先设置的过滤条件对信标信号进行过滤，不符合条件的直接不记录统计：
过滤条件1：有效RSSI阈值(比如w>＝-90dbm)，过滤掉低于有效RSSI阈值的信号；
过滤条件2：接收到同一信标有效RSSI的次数，过滤掉低于有效次数的信标；
完成信源的粗识别，以上步骤的相关参数根据环境不同进行调整，环境因素包括响应速度、区域准确性、互干扰等。
3)将过滤后的信标与所有信标图形中的信标进行匹配，得到信标匹配成功数量最多的信标图形A，以及与该信标图形A匹配的信标数Zi；
其中，无线射频接收终端在定时搜索信标射频源信号之前，从后台获取信标图形数据库，信标图形相关信息来源于所述信标图形数据库；信标图形信息包括，信标图形的形状，信标图形中各个信标的编号，以及各个信标的坐标。
例如与信标图形A，一共匹配了4个信标，与信标图形B一共匹配了2个信标，与信标图形C一共匹配了1个信标，则信标匹配成功数量最多的信标图形是信标图形A，与该信标图形A匹配的信标数是4。
4)判断与该信标图形A匹配的信标数Zi是否低于信标判断最低数量要求，如低于则丢弃所有过滤信标；
例如当Zi<＝2时，说明终端未进入场景，或当前存在较大干扰，将当前接 收到的信标数据丢弃；此处设置信标判断最低数量要求为2，该最低数量要求还可以根据场景，以及每个图形的信标总数等因素进行调整；
5)如Zi不低于信标判断最低数量要求，则继续判断Zi是否符合信标图形基准数量条件；如果符合，则可直接确定目标位置在信标图形所在场景内；
当Zi>＝(Xi/2+1)时，则可认为与该信标图形匹配的信标数符合信标图形基准数量条件，可直接确定目标位置在信标图形所在场景内；其中，Xi为该信标图形中的信标总数，信标总数最少设置为4；该判断条件不是绝对的限定条件，可根据场景布置信标的数量，场景干扰情况等因素进行设置；
6)如果2<Zi<(Xi/2+1)，则进行图形重构识别；
通过标准信号源的RSSI数值来估算目标所在距离，通过多点算法来计算所在的位置，从而重构得到信号源组成的基本图形，快速识别区域。
现以不规则图形为例，不规则图形的计算方式如图7所示；
假设过滤后的信标为信标A，信标B，信标D；根据信标A,B,D的RSSI值计算得到终端到信标A,B,D三点的距离为RA,RB,RD；信标A,B,D到终端所在平面的映射点分别为A1,B1,D1；终端到A1的距离
Figure PCTCN2019100053-appb-000001
其中h为信标到场景地面的高度，1.5为通常的终端到地面的高度；同理，终端到B1的距离为
Figure PCTCN2019100053-appb-000002
终端到D1的距离为
Figure PCTCN2019100053-appb-000003
由于A1,B1,D1的坐标可以根据A,B,D的坐标得到，因此，终端相对于A1,B1,D1的位置可以确定，另外，根据A1,B1,D1的坐标，可以进行图形重构，得到C1,E1的坐标，也即可以得到终端相对于不规则图形的位置，从而识别出终端所处的区域。
本发明中的信标可集成到不同的形态的灯具当中，比如办公场所的平板灯、商场的筒灯、射灯，小区的室外庭院灯，信标外观上可以完全隐藏，尤其对于室外防水、防尘等问题都在灯本身解决掉了。信标可以使用灯具的电源进线供电，解决了现有技术中信标不能持续供电的问题。尽管已描述了本发明的 优选实施例，但本领域内的技术人员一旦得知了基本创造性概念，则可对这些实施例作出另外的变更和修改。所以，所附权利要求意欲解释为包括优选实施例以及落入本发明范围的所有变更和修改。
显然，本领域的技术人员可以对本发明进行各种改动和变型而不脱离本发明的精神和范围。这样，倘若本发明的这些修改和变型属于本发明权利要求及其等同技术的范围之内，则本发明也意图包含这些改动和变型在内。

Claims (12)

  1. 一种信源图形化近场识别方法，包括：
    根据预先设置的过滤条件对搜索到的信标信号进行过滤；
    将过滤后的信标与所有信标图形中的信标进行匹配，得到信标匹配数量最多的信标图形，以及与该信标图形匹配的信标数；
    判断与该信标图形匹配的信标数是否低于信标判断最低数量要求，如低于则丢弃所有过滤信标；
    如不低于，则判断与该信标图形匹配的信标数，是否符合信标图形基准数量条件；
    如果符合，则可直接确定目标位置在信标图形所在场景内；
    如果不符合，则通过信标信号的RSSI数值来估算与信标的距离，并通过多点算法确定目标所在的位置，以及重构得到信号源组成的基本图形，快速识别目标区域。
  2. 如权利要求1所述的信源图形化近场识别方法，其特征在于：
    在对信标信号进行过滤之前，定时搜索信标射频源信号，并对搜索到信标信号进行解析。
  3. 如权利要求2所述的信源图形化近场识别方法，其特征在于：
    在所述定时搜索信标射频源信号之前，从后台获取信标图形数据库；其中信标图形数据库中包含信标图形信息。
  4. 如权利要求3所述的信源图形化近场识别方法，其特征在于：
    所述信标图形信息包括，信标图形的形状，信标图形中各个信标的编号，以及各个信标在其平面内的坐标。
  5. 如权利要求1所述的信源图形化近场识别方法，其特征在于：
    所述判断匹配数量最多的信标数，是否符合信标图形基准数量条件，包括，判断匹配数量最多的信标数，是否达到该信标图形中信标总数的有效比例。
  6. 如权利要求5所述的信源图形化近场识别方法，其特征在于：
    所述判断匹配数量最多的信标数，是否达到该信标图形中信标总数的有效比例，包括，判断匹配数量最多的信标数，是否达到该信标图形中信标总数的一半。
  7. 一种信源图形化近场识别装置，包括：
    过滤模块，用于根据预先设置的过滤条件对信标信号进行过滤；
    匹配模块，用于将过滤后的信标与所有信标图形中的信标进行匹配，得到信标匹配成功数量最多的信标图形，以及与该信标图形匹配的信标数；
    以及，判断模块，用于判断与该信标图形匹配的信标数是否低于信标判断最低数量要求，如低于则丢弃所有过滤信标，放弃本次搜索；
    如不低于，则判断与该信标图形匹配的信标数，是否符合信标图形基准数量条件；
    如果符合，则可直接确定目标位置在信标图形所在场景内；
    如果不符合，则通过信标信号的RSSI数值来估算与信标的距离，并通过多点算法来确定目标所在的位置，从而重构得到信号源组成的基本图形，快速识别区域。
  8. 如权利要求7所述的信源图形化近场识别装置，其特征在于：
    该装置，还包括搜索模块和解析模块；
    其中，搜索模块，用于在对信标信号进行过滤之前，定时搜索信标射频源信号；
    解析模块，用于对搜索到信标信号进行解析。
  9. 如权利要求8所述的信源图形化近场识别装置，其特征在于：
    该装置，还包括获取模块；
    获取模块，用于在所述定时搜索信标射频源信号之前，从后台获取信标图形数据库；其中，信标图形数据库中包含信标图形信息。
  10. 如权利要求9所述的信源图形化近场识别装置，其特征在于：
    所述信标图形信息包括，信标图形的形状，信标图形中各个信标的编号，以及各个信标在其平面内的坐标。
  11. 如权利要求7所述的信源图形化近场识别装置，其特征在于：
    所述判断匹配数量最多的信标数，是否符合信标图形基准数量条件，包括，判断匹配数量最多的信标数，是否超过该信标图形中信标总数的有效比例。
  12. 如权利要求11所述的信源图形化近场识别装置，其特征在于：
    所述判断匹配数量最多的信标数，是否达到该信标图形中信标总数的有效比例，包括，判断匹配数量最多的信标数，是否达到该信标图形中信标总数的一半。
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CN108009452A (zh) * 2016-10-27 2018-05-08 三星电子株式会社 近场通信标签识别装置和包括其的近场通信标签识别系统
CN107046711A (zh) * 2017-02-21 2017-08-15 沈晓龙 一种室内定位的数据库建立方法和室内定位方法及装置
CN108966137A (zh) * 2018-08-10 2018-12-07 欧普照明股份有限公司 一种信源图形化近场识别方法

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