WO2021212713A1 - 一种基于手环测温定位的实时监控识别系统 - Google Patents

一种基于手环测温定位的实时监控识别系统 Download PDF

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WO2021212713A1
WO2021212713A1 PCT/CN2020/111409 CN2020111409W WO2021212713A1 WO 2021212713 A1 WO2021212713 A1 WO 2021212713A1 CN 2020111409 W CN2020111409 W CN 2020111409W WO 2021212713 A1 WO2021212713 A1 WO 2021212713A1
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wearer
information
wireless node
sensor
smart bracelet
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PCT/CN2020/111409
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English (en)
French (fr)
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方斌
孙富春
刘华平
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清华大学
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Priority to US17/326,650 priority Critical patent/US20210321875A1/en
Publication of WO2021212713A1 publication Critical patent/WO2021212713A1/zh

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0423—Input/output
    • G05B19/0425—Safety, monitoring
    • A—HUMAN NECESSITIES
    • A44—HABERDASHERY; JEWELLERY
    • A44C—PERSONAL ADORNMENTS, e.g. JEWELLERY; COINS
    • A44C5/00—Bracelets; Wrist-watch straps; Fastenings for bracelets or wrist-watch straps
    • A44C5/0007—Bracelets specially adapted for other functions or with means for attaching other articles
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1118—Determining activity level
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1123—Discriminating type of movement, e.g. walking or running
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/681—Wristwatch-type devices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813—Specially adapted to be attached to a specific body part
    • A61B5/6824—Arm or wrist
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/7455—Details of notification to user or communication with user or patient ; user input means characterised by tactile indication, e.g. vibration or electrical stimulation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
    • G01K1/02—Means for indicating or recording specially adapted for thermometers
    • G01K1/024—Means for indicating or recording specially adapted for thermometers for remote indication
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00—Thermometers specially adapted for specific purposes
    • G01K13/20—Clinical contact thermometers for use with humans or animals
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/10009—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves

Definitions

  • the invention belongs to the field of smart wearable technology, and specifically relates to a real-time monitoring and identifying system based on the temperature measurement and positioning of a wristband.
  • the purpose of the present invention is to overcome the shortcomings of the existing technology and propose a real-time monitoring and identification system based on the temperature measurement and positioning of the bracelet, which can obtain the body temperature and position information of the individual in real time through the bracelet and the wireless positioning transmission system.
  • Real-time monitoring and big data intelligent analysis are carried out on the cloud platform, and the health and behavior identification of individuals and groups can be used in schools, communities, factories, office buildings and other crowd gathering occasions.
  • the present invention proposes a real-time monitoring and identification system based on bracelet temperature measurement and positioning, which features an ID card reader, multiple smart bracelets, multiple wireless node devices installed at intervals in crowd gathering occasions, and cloud Data processing unit; among them,
  • Each smart bracelet includes a temperature measurement sensor in the wrist, a motion sensor, a Bluetooth sensor, a display light, a battery, a battery charging port, a vibration alarm, and an embedded chip processor equipped in the waterproof wristband; the wrist internal measurement
  • the temperature sensor is used to measure the body temperature of the wearer;
  • the motion sensor includes a three-axis accelerometer and a three-axis gyroscope, which are used to measure the wearer's motion state in real time, including motion acceleration, velocity, and angular velocity, so as to determine the wearer's sitting , Jumping, walking, running, and moving up and down stairs;
  • the vibration alarm is used to vibrate reminders of abnormal situations, including low battery, abnormal body temperature of the wearer, loss of smart bracelet or not being worn;
  • the indicator light is used to indicate the normal working, charging, and low-power mode of the hand ring;
  • the battery is used to supply power to all electrical devices in the smart bracelet, and the battery is charged through the battery charging port;
  • the ID card reader through the wireless input mode, inputs the electronic information of the wearer's identity to the embedded chip processor of the smart bracelet, performs registration and authentication on the smart bracelet, and realizes the verification of the identity of the wearer and the information of the smart bracelet Associated
  • Each wireless node device is composed of a Bluetooth receiving module, which is used to search for multiple corresponding smart bracelets nearby. At the same time, it collects the body temperature, exercise status information and Bluetooth signal strength of each wearer, and calculates the smart bracelet based on the Bluetooth signal strength The distance to the wireless node device, each wireless node device sends the collected information and the calculated distance information between the smart bracelet and the wireless node device to the cloud data processing unit through the local area network;
  • the cloud data processing unit determines the location of a plurality of corresponding smart bracelet wearers through the location of each wireless node device, and simultaneously calculates the wearer's activity trajectory by combining the information of the motion sensors in each smart bracelet;
  • the cloud data processing unit monitors the wearer’s body temperature and health in real time through the body temperature information of the wearer collected by the wireless node device; the cloud data processing unit also monitors the wearer’s body temperature and health according to the comprehensiveness of the position information and exercise status information of all smart bracelets
  • Data analysis to obtain group aggregation status, regional activity status, and feature extraction of historical data and measured data through machine learning methods to realize the health status, exercise status, regional activity status, and group gathering of each body in crowd gathering occasions Real-time monitoring and identification of status.
  • the present invention provides a real-time monitoring and recognition system for wristband temperature measurement and positioning, which is not affected by ambient light, occlusion, etc., has strong adaptability, is light and elegant, convenient to wear, accurate temperature measurement, convenient supervision, intelligent and efficient, and is used for crowd gathering
  • real-time monitoring and identification of individual health status can be associated with the identity of the wearer for registration or cancellation. Entering relatively closed places, such as schools, communities, factories, office buildings, etc., you can wear them for registration, and you can cancel them after you leave. After disinfection, it is convenient for other wearers to register and use.
  • the reusable way of the smart bracelet can also reduce costs and improve utilization.
  • Fig. 1 is a schematic diagram of the structure of a real-time monitoring and identifying system based on the temperature measurement and positioning of the bracelet proposed by the present invention.
  • Figure 2 is a schematic diagram of the structure of the smart bracelet in the real-time monitoring and identification system proposed by the present invention.
  • 1 is the temperature sensor in the wrist
  • 2 is the vibration alarm
  • 3 is the embedded chip processor
  • 4 is the battery charging port
  • 5 is the indicator light
  • 6 is the battery
  • 7 is the motion sensor
  • 8 is the Bluetooth sensor
  • 9 is a waterproof wristband.
  • the present invention proposes a real-time monitoring and recognition system based on wristband temperature measurement and positioning. Its structure is shown in Figure 1.
  • the real-time monitoring and recognition system includes an ID card reader and multiple smart wristbands (as shown in Figure 1). n smart bracelets), multiple wireless node devices installed at intervals in crowd gathering occasions (as shown in Figure 1 there are a total of m wireless node devices) and cloud data processing units; among them:
  • each smart bracelet includes a temperature measurement sensor 1, a motion sensor 7, a Bluetooth sensor 8, a display light 5, and a wristband equipped in the waterproof wristband 9.
  • wrist temperature sensor 1 is used to measure the temperature inside the wearer’s wrist, with a temperature measurement accuracy of 0.1°;
  • motion sensor 7 includes three-axis acceleration A meter and a three-axis gyroscope can measure the wearer’s motion status in real time, including motion acceleration, velocity, and angular velocity, so as to determine the wearer’s motion status information such as sitting, jumping, walking, running, and going up and down;
  • vibration alarm 2 It is used to vibrate reminders of abnormal situations, including low battery, abnormal body temperature of the wearer, off or not wearing the bracelet, etc.;
  • indicator light 5 is used to remind the hand ring to work normally, charging, and low battery mode when the bracelet is worn;
  • battery 6 Used to supply power to all electrical devices in the smart
  • the Bluetooth sensor 8 is used for The temperature, motion state information, and Bluetooth registered tag information of the wearer are all sent to the corresponding wireless node devices nearby, and the waterproof wristband 9 is used to protect various components and facilitate wearing the wrist.
  • the temperature measurement sensor 1 in the wrist uses a thermometer sensor WD3703 contact human body temperature sensor patch
  • the motion sensor 7 is an MPU6500 six-axis sensor
  • the Bluetooth sensor 8 uses a TI CC2640R2F chip
  • the embedded chip processor 3 uses STM32 Embedded chip processor, temperature and motion sensor information is processed by the embedded chip processor, and the information is sent wirelessly by the Bluetooth chip, and the vibration sensor and the indicator light are controlled according to the state.
  • the ID card reader can input the electronic information of the wearer's identity into the embedded chip processor of the smart bracelet through the wireless input mode, and register and authenticate the smart bracelet, so as to realize the association between the identity of the wearer and the information of the smart bracelet .
  • the ID card reader in this embodiment uses the Huaxu HX-FDX3S ID reader.
  • Multiple wireless node devices are mainly composed of Bluetooth receiving modules, which are used to search for multiple corresponding smart bracelets nearby, and at the same time collect the body temperature, exercise status information and Bluetooth signal strength of each smart bracelet wearer.
  • the Bluetooth signal strength can calculate the distance between the smart bracelet and the wireless node device.
  • Each wireless node device collects the information (the body temperature of each wearer, exercise status information) and the calculated smart bracelet and wireless node through the local area network.
  • the distance information of the device is sent to the cloud data processing unit.
  • the cloud data processing unit processes the information of each smart bracelet collected through all wireless node devices, specifically: determining the location of the smart bracelet wearers through the location of the wireless node device, and combining each smart
  • the information of the motion sensor 7 in the wristband can be calculated to obtain the wearer's activity trajectory; the wearer's body temperature information collected through the wireless node device can be used to monitor the wearer's body temperature and health in real time; and for the location information of all smart bracelets
  • Comprehensive data analysis such as sports status information can obtain group aggregation status and regional activity status; comprehensive historical data and measured data can be used to extract features from big data through machine learning methods such as deep learning algorithms, and then perform individual Carry out finer classification and identification with group life or work status, such as work attention status, sports health status, etc.

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Abstract

本发明涉及一种基于手环测温定位的实时监控识别系统，其特征包括，身份证读卡器、多个智能手环、安装在人群聚集场合内间隔设置的多个无线节点装置和云端数据处理单元；各智能手环均分别包括在防水腕带内配备的腕内测温传感器、运动传感器、蓝牙传感器、显示灯、电池、电池充电口、振动报警器和嵌入式芯片处理器，无线节点装置用于搜集附近区域内所有智能手环的传感信息，云端数据处理单元获取穿戴者的温度、位置、运动状态信息，结合这些信息通过大数据分析，可以智能识别个体和群体的实时体温健康状态、运动状态、区域活动状态、结伴聚集状态等，特别适用于学校、社区、工厂等多类场合的个体和群体性监测。

Description

一种基于手环测温定位的实时监控识别系统 技术领域
本发明属于智能穿戴技术领域，具体涉及一种基于手环测温定位的实时监控识别系统。
背景技术
2020年新冠肺炎疫情的爆发，对人类工作生活方式都带来了巨大影响。目前通过对病毒的研究结果判断表明抗击新冠肺炎可能是场持久战。伴随着疫情的发展，公众对测温的需求进一步增加。目前常见的测温枪耗费时间、人力且长时间使用其精准度较低；箱体过道式红外测温与红外摄像头测温精度虽能保证，但价格昂贵、效率较低、笨重占位，而这几种常见的产品都需要人工操作，费时费力。同时目前现有的手环都是通过手机APP方式进行健康监测，只适用于个体，不适于群体监控。而且手机存储个人信息，通过手机实行群体监控容易造成隐私泄露。并且个人手机的关机及换卡行为，也给群体监控带来难度。
因此亟需通过新的技术应用革命性攻克这些问题，设计一种更便捷、更精准、更系统、更智能的健康监测管理系统，可以有效推进各地复工复产复学。
发明内容
本发明的目的是为了克服已有技术的不足之处，提出一种基于手环测温定位的实时监控识别系统，，通过手环和无线定位传输系统以实时获取人群个体的体温、位置信息，并在云平台进行实时监控和大数据智能分析，对个体和群体进行健康及行为识别，应用于学校、社区、工厂、写字楼等多类人群聚集场合。
为了实现上述目的，本发明采用如下技术方案：
本发明提出的一种基于手环测温定位的实时监控识别系统，其特征包括，身份证读卡器、多个智能手环、安装在人群聚集场合内间隔设置的多个无线节点装置和云端数据处理单元；其中，
各智能手环均分别包括在防水腕带内配备的腕内测温传感器、运动传感器、蓝牙传感器、显示灯、电池、电池充电口、振动报警器和嵌入式芯片处理器；所述腕内测温传感器用于测量佩戴者的体温；所述运动传感器包括三轴加速度计和三轴陀螺仪，用于实时测量佩戴者的运动状态，包括运动加速度、速度和角速度，以此确定佩戴者的静坐、跳跃、行 走、跑步、上下楼的运动状态信息；所述振动警报器用于对异常情况进行振动提醒，所述异常情况包括电池不足、穿戴者体温异常、智能手环脱落或未穿戴的情况；所述显示灯用于对手环穿戴正常工作、充电、低电模式进行提示；所述电池用于为智能手环内所有电器件进行供电，通过所述电池充电口为电池充电；所述嵌入式芯片处理器用于对所述腕内测温传感器和运动传感器进行信号采集和数据处理，控制所述显示灯进行不同颜色的显示，且当出现异常状态时由所述嵌入式芯片处理器向所述振动警报器发出指令进行振动提醒；所述蓝牙传感器用于将穿戴者的温度、运动状态、蓝牙注册的标签信息发送至附近的相应无线节点装置；
所述身份证读卡器，通过无线输入模式，将穿戴者的身份电子信息输入至智能手环的嵌入式芯片处理器，对智能手环进行注册认证，实现穿戴者身份和智能手环信息的关联；
各无线节点装置均分别由蓝牙接收模块组成，用于搜索附近的多个相应智能手环，同时收集每个穿戴者的体温、运动状态信息及蓝牙信号强度，通过蓝牙信号强度解算出智能手环与无线节点装置的距离，各无线节点装置均通过局域网将各自收集的信息及解算出的智能手环与无线节点装置的距离信息发送至所述云端数据处理单元；
所述云端数据处理单元，通过各无线节点装置的位置来确定多个相应智能手环穿戴者所处的区域位置，同时结合各智能手环内运动传感器的信息解算得到穿戴者的活动轨迹；所述云端数据处理单元，通过无线节点装置收集的穿戴者的体温信息，实时监测穿戴者的体温健康情况；所述云端数据处理单元还根据所有智能手环的位置信息、运动状态信息的综合性数据分析，获取群体性的结聚状态、区域活动状态，并通过机器学习方法对历史数据和实测数据进行特征提取，实现对人群聚集场合内各个体健康状态、运动状态、区域活动状态、结伴聚集状态的实时监控识别。
本发明的特点及有益效果：
本发明提出的一种手环测温定位的实时监控识别系统，不受环境光照、遮挡等影响，适应力强，轻巧精致，穿戴方便，精准测温，监管便捷，智能高效，用于人群聚集场合，对个体健康状态的实时监控识别。同时智能手环可与穿戴者身份进行关联注册或注销。进入相对封闭场所，如学校、社区、工厂、写字楼等，可以佩戴注册，离开后可以注销，消毒后方便其他的佩戴人员注册再使用。该智能手环可重复使用的方式也能降低成本，提高利用率。
附图说明
图1是本发明提出的一种基于手环测温定位的实时监控识别系统结构示意图。
图2是本发明提出的实时监控识别系统中智能手环的结构示意图。
图2中，1是腕内测温传感器，2是振动警报器，3是嵌入式芯片处理器，4是电池充电口，5是显示灯，6是电池，7是运动传感器，8是蓝牙传感器，9是防水腕带。
具体实施方式
为使本发明的目的、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的详细说明。应当理解，此处所描述的具体实施方式仅仅用以解释本发明，并不限定本发明的保护范围。
为了更好地理解本发明，以下详细阐述本发明提出的一种基于手环测温定位的实时监控识别系统的应用实例。
本发明提出的一种基于手环测温定位的实时监控识别系统，其结构如图1所示，该实时监控识别系统包括身份证读卡器、多个智能手环(如图1中共设有n个智能手环)、安装在人群聚集场合内间隔设置的多个无线节点装置(如图1中共设有m个无线节点装置)和云端数据处理单元；其中：
多个智能手环，如图2所示，各智能手环结构均相同，均分别包括在防水腕带9内配备的腕内测温传感器1、运动传感器7、蓝牙传感器8、显示灯5、电池6、电池充电口4、振动报警器2和嵌入式芯片处理器3；腕内测温传感器1用于测量佩戴者手腕内部的温度，测温精度达0.1°；运动传感器7包括三轴加速度计和三轴陀螺仪，可以实时测量佩戴者的运动状态，包括运动加速度、速度和角速度，以此可以确定佩戴者的静坐、跳跃、行走、跑步、上下楼等运动状态信息；振动警报器2用于对异常情况进行振动提醒，异常情况包括电池不足、穿戴者体温异常、手环脱落或未穿戴情况等；显示灯5用于对手环穿戴正常工作、充电、低电模式进行提示；电池6用于为智能手环内所有电器件进行供电，通过电池充电口4为电池6充电；嵌入式芯片处理器3用于对腕内测温传感器1、运动传感器7等各个器件进行信号采集和处理，通过电池状态来对显示灯进行不同颜色显示，通过对腕内测温传感器1和运动传感器7信息进行分析，若出现异常状态则向振动警报器2发出指令进行振动提醒，蓝牙传感器8用于将穿戴者的温度、运动状态信息、蓝牙注册的标签信息均发送至附近的相应无线节点装置，防水腕带9用于对各个部件进行保护及便于穿戴手腕。
本实施例中，腕内测温传感器1采用温计传感器WD3703接触式人体感应温度传感器贴片，运动传感器7为MPU6500六轴传感器，蓝牙传感器8采用TI CC2640R2F芯片，嵌入式芯片处理器3采用STM32嵌入式芯片处理器，温度和运动两类传感器信息通过嵌入式芯片处理器来处理，并由蓝牙芯片无线发出信息，同时根据状态对振动传感器、显示灯进行控制。
身份证读卡器，可以通过无线输入模式，将穿戴者的身份电子信息输入至智能手环的嵌入式芯片处理器，对智能手环进行注册认证，实现穿戴者身份和智能手环信息的关联。本实施例的身份证读卡器采用华旭HX-FDX3S身份阅读器。
多个无线节点装置，结构均相同，主要由蓝牙接收模块组成，用于搜索附近的多个相应智能手环，同时收集每个智能手环穿戴者的体温、运动状态信息及蓝牙信号强度，通过蓝牙信号强度可解算出智能手环与无线节点装置的距离，各无线节点装置均通过局域网将各自搜集的信息(每个穿戴者的体温、运动状态信息)及解算出的智能手环与无线节点装置的距离信息发送至所述云端数据处理单元。
云端数据处理单元，对通过所有无线节点装置搜集来的各个智能手环的信息进行处理，具体为：通过无线节点装置的位置来确定智能手环穿戴者们所处的区域位置，同时结合各智能手环内运动传感器7的信息，可以解算得到穿戴者的活动轨迹；通过无线节点装置收集的穿戴者的体温信息，可以实时监测穿戴者的体温健康情况；并对于所有智能手环的位置信息、运动状态信息等综合性数据分析，可以获取群体性的结聚状态、区域活动状态；综合历史性数据和实测数据，可以通过机器学习方法如深度学习算法对大数据进行特征提取，再进行个体和群体性生活或工作状态进行更精细的分类识别，如工作注意力情况、运动健康情况等，同时还可以对未来一段时间的个体和群体健康状态、运动状态、区域活动状态、结伴聚集状态的预测。以此，为学校、社区、工厂、写字楼等多类相对封闭场合的管理提供安全有效的监控手段。
最后应说明的是：本发明未详细阐述部分属于本领域的公知技术，以上实施例仅用以说明本发明的技术方案，而非对其限制；尽管参照前述实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明各实施例技术方案的精神和范围。

Claims (1)

  1. 一种基于手环测温定位的实时监控识别系统，其特征包括，身份证读卡器、多个智能手环、安装在人群聚集场合内间隔设置的多个无线节点装置和云端数据处理单元；其中，
    各智能手环均分别包括在防水腕带内配备的腕内测温传感器、运动传感器、蓝牙传感器、显示灯、电池、电池充电口、振动报警器和嵌入式芯片处理器；所述腕内测温传感器用于测量佩戴者的体温；所述运动传感器包括三轴加速度计和三轴陀螺仪，用于实时测量佩戴者的运动状态，包括运动加速度、速度和角速度，以此确定佩戴者的静坐、跳跃、行走、跑步、上下楼的运动状态信息；所述振动警报器用于对异常情况进行振动提醒，所述异常情况包括电池不足、穿戴者体温异常、智能手环脱落或未穿戴的情况；所述显示灯用于对手环穿戴正常工作、充电、低电模式进行提示；所述电池用于为智能手环内所有电器件进行供电，通过所述电池充电口为电池充电；所述嵌入式芯片处理器用于对所述腕内测温传感器和运动传感器进行信号采集和数据处理，控制所述显示灯进行不同颜色的显示，且当出现异常状态时由所述嵌入式芯片处理器向所述振动警报器发出指令进行振动提醒；所述蓝牙传感器用于将穿戴者的温度、运动状态、蓝牙注册的标签信息发送至附近的相应无线节点装置；
    所述身份证读卡器，通过无线输入模式，将穿戴者的身份电子信息输入至智能手环的嵌入式芯片处理器，对智能手环进行注册认证，实现穿戴者身份和智能手环信息的关联；
    各无线节点装置均分别由蓝牙接收模块组成，用于搜索附近的多个相应智能手环，同时收集每个穿戴者的体温、运动状态信息及蓝牙信号强度，通过蓝牙信号强度解算出智能手环与无线节点装置的距离，各无线节点装置均通过局域网将各自收集的信息及解算出的智能手环与无线节点装置的距离信息发送至所述云端数据处理单元；
    所述云端数据处理单元，通过各无线节点装置的位置来确定多个相应智能手环穿戴者所处的区域位置，同时结合各智能手环内运动传感器的信息解算得到穿戴者的活动轨迹；所述云端数据处理单元，通过无线节点装置收集的穿戴者的体温信息，实时监测穿戴者的体温健康情况；所述云端数据处理单元还根据所有智能手环的位置信息、运动状态信息的综合性数据分析，获取群体性的结聚状态、区域活动状态，并通过机器学习方法对历史数据和实测数据进行特征提取，实现对人群聚集场合内各个体健康状态、运动状态、区域活动状态、结伴聚集状态的实时监控识别。
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