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Clock prediction method based on Internet of Things indoor positioning

An indoor positioning and prediction method technology, applied in neural learning methods, biological neural network models, satellite radio beacon positioning systems, etc., can solve problems such as inability to locate, signal refraction, and low positioning accuracy

Inactive Publication Date: 2020-10-30
广州道源信息科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are many reasons that hinder the rapid development of indoor positioning. The main reason is that the indoor environment is different from the outdoors, and the indoor layout is complex. The transmission of signals will be hindered by furniture, walls, and various decorations, causing the signals to be refracted, reflected, or even buried. etc., which seriously leads to the loss of various physical characteristics of the propagated signal
Therefore, it is necessary to solve the problems of inaccurate or even impossible positioning caused by complex indoor layout.
Existing indoor positioning technologies based on Bluetooth, WiFi, inertial navigation, etc. are widely used in indoor positioning, but the positioning accuracy is not very high

Method used

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  • Clock prediction method based on Internet of Things indoor positioning
  • Clock prediction method based on Internet of Things indoor positioning
  • Clock prediction method based on Internet of Things indoor positioning

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Experimental program
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Embodiment

[0088] The present invention is a clock prediction method based on the indoor positioning of the Internet of Things, and the specific steps include:

[0089] Step 1, the IoT receiving module collects observation parameters

[0090] Firstly, the Internet of Things receiving modules evenly distributed within the Internet of Things are used to collect the satellite navigation parameters and observation parameters of the global navigation satellite system, and the Internet of Things receiving devices are sent to the clock data processing module through the Internet communication system. The difficulty of management improves the reliability of the system. On the other hand, it meets the real-time and high-speed requirements of the network.

[0091] Step 2, the system predicts orbit generation

[0092] The clock data processing module extracts satellite navigation parameters and observation parameters, and performs parameter preprocessing. The clock data processing module determin...

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Abstract

The invention belongs to the technical field of position positioning, and particularly relates to a clock prediction method based on Internet of Things indoor positioning. The method comprises the steps that an Internet of Things receiving module collects satellite navigation parameters and observation parameters of a global navigation satellite system, and an Internet of Things receiving device sends the satellite navigation parameters and the observation parameters to a clock data processing module through an Internet communication system; the clock data processing module extracts the satellite navigation parameters and the observation parameters for parameter preprocessing, and determines a system prediction orbit and the like after a global navigation satellite system clock is eliminated by positioning parameters of broadcast ephemeris. According to the clock prediction method based on Internet of Things indoor positioning, the convolutional neural network is fully utilized to learn a large number of samples of the clock prediction data of the Internet of Things positioning system, more accurate prediction of nonlinear time sequence characteristics is performed, and the positioning precision of the Internet of Things system is improved in a real sense.

Description

technical field [0001] The invention belongs to the technical field of position positioning, and in particular relates to a clock prediction method based on the indoor positioning of the Internet of Things. Background technique [0002] Today, with the rapid development of science and technology, various fields are showing a trend of vigorous development. Mobile communication has been moving from "4G" to "5G". The popularity of intelligent tools such as intelligent robots and unmanned vehicles has added color to people's lives. . "Location" as a type of service has also begun to integrate into people's lives, prompting the emergence of many location-dependent services, such as related services based on GPS positioning, including outdoor driving navigation, indoor shopping mall inquiries, etc. Every corner and every aspect of life is touched by the use of positioning technology. With the promotion of positioning technology and the strong demand of life, it is imminent to co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/16G01C21/20G01S19/47G06K9/62G06N3/04G06N3/08H04L29/08
CPCG01C21/165G01C21/206G01S19/47H04L67/12G06N3/08G06N3/048G06N3/045G06F18/24
Inventor 王永贵
Owner 广州道源信息科技有限公司