Non-contact sensing method based on Internet of Things LoRa signal

A non-contact, Internet of Things technology, applied in the field of intelligent perception, can solve the problems of small sensing distance and inability to achieve long-distance sensing.

Active Publication Date: 2020-08-28
INST OF SOFTWARE - CHINESE ACAD OF SCI
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Problems solved by technology

[0004] In short, when the existing technology performs non-contact sensing, due to environmental noise and hardware errors, the sensing distance is small (usually within 5 meters), and long-distance sensing (more than 10 meters) cannot be achieved.

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  • Non-contact sensing method based on Internet of Things LoRa signal
  • Non-contact sensing method based on Internet of Things LoRa signal
  • Non-contact sensing method based on Internet of Things LoRa signal

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Embodiment Construction

[0053] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0054] figure 1 The overall framework of non-contact perception based on LoRa signal is shown. The system is capable of real-time long-distance non-contact perception of human behavior, including small-scale behavior (human breathing) and large-scale behavior (human walking trajectory tracking).

[0055] The realization steps of the present invention are as follows:

[0056] The first step: real-time data collection: such as figure 2 As shown, the LoRa-based non-contact sensing system includes a LoRa transmitter and a LoRa receiver (that is, a LoRa gateway). sender ( figure 2 (a)) consists of a LoRa SX1276 node, Arduino Uno development board and a directional antenna (the size of a conventional directional antenna is (25×22cm, 70-degree beam...

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Abstract

The invention discloses a non-contact sensing method based on an Internet of Things LoRa signal, and belongs to the field of intelligent sensing. According to the non-contact sensing method, the Internet of Things communication technology LoRa with the advantages of low power consumption and long distance is applied to non-contact long-distance sensing, through multiple antennas configured on a LoRa gateway, a method of utilizing a ratio of received signals on two antennas to eliminate phase shift caused by asynchronous receiving and transmitting and reduce noise interference is proposed, andthus the sensing range is increased. On the basis, a phase change measurement method based on a tangent vector is provided, and the phase change of a signal caused by the movement of a sensed human body can be accurately calculated. According to the non-contact sensing method, widely used Internet of Things communication facilities are fully utilized, no extra detection device needs to be installed, and indoor and outdoor non-contact sensing application can be realized in a convenient manner. The non-contact sensing method has accurate perception capability for large-scale walking and small-scale breathing detection of the human body, is easy to popularize, and is suitable for the fields of healthy smart home, smart buildings and the like.

Description

technical field [0001] The invention belongs to the field of intelligent perception, and in particular relates to a method for non-contact sensing by utilizing narrowband, low power consumption and long-distance LoRa signals in the Internet of Things. Background technique [0002] In recent years, wireless non-contact sensing technology has received extensive attention. There are related researches on the use of various wireless signals (such as WiFi, RFID, etc.), which have also spawned a variety of applications, such as: indoor positioning, behavior recognition, and breath detection. , gesture recognition, etc. Although the feasibility of the application has been preliminarily verified, the currently used wireless signals are relatively close in the sensing range. Although the communication range of WiFi is 20-50 meters indoors, its sensing range is usually 3-6 meters (F. Zhang, D. Zhang, J. Xiong, H. Wang, K. Niu, B. Jin, and Y. Wang.2018.From Fresnel diffractionmodel t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B1/02H04B1/06G01S5/02G01S13/66G01S13/86
CPCG01S5/0247G01S5/0294G01S13/66G01S13/86H04B1/02H04B1/06
Inventor 张扶桑金蓓弘
Owner INST OF SOFTWARE - CHINESE ACAD OF SCI
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