Cooperative positioning method and system based on wireless internet of things

Abstract

The invention discloses a cooperative positioning method and system based on the wireless Internet of Things, and the method comprises the steps: enabling a cooperative service node to serve as a positioning base station to analyze the object access information of service object equipment, extracting a beacon modulation state identification and a positioning signal receiving variable value, performing positioning signal receiving correction and positioning feature calculation on the positioning signal receiving variable according to the beacon modulation state identifier to obtain a calculatedvalue of a positioning feature variable of the service object device, judging based on the beacon modulation state identifier and / or the positioning characteristic variable of the service object device, and enabling the service object device to perform positioning beacon resetting and positioning state updating according to the corresponding object beacon modulation parameter when necessary. Theservice object equipment dynamically modulates and sends the object state beacons of different beacon transmitting power levels and time sequence combinations thereof based on the positioning requirements, so that unnecessary power consumption is saved, cross interference is avoided, and the positioning calculation precision, continuity and real-time credibility are improved.

Description

technical field [0001] The invention belongs to the technical field of edge network communication and edge computing of the wireless Internet of Things, and in particular relates to a method and system for collaborative positioning based on the wireless Internet of Things. Background technique [0002] With the rapid development of related technologies such as the Internet, mobile communications, and the Internet of Things, the edge intelligence technology based on the wireless Internet of Things utilizes modern wireless network communication technology, automatic control and sensor monitoring technology, cloud computing, and database information processing. , which promotes the rapid development of product innovation and application scale of various intelligent hardware devices and intelligent information systems brought about by individuals and different industries / regions. Among them, data processing and artificial intelligence technology based on "cloud computing + edge ...

AI Technical Summary

Problems solved by technology

[0007] 1) When the monitoring information of the service object equipment in the wireless edge domain network is uploaded, the selection of the upper collection service equipment and its network communication mode is usually a single wireless connection mode, and the service object equipment seldom uses the collaborative services provided by the surrounding Internet of Things. And there is a lack of corresponding wireless mode management mechanism and service specifications; although some IoTs have intelligent perception and data communication service capabilities, they are only used as collection and upload channels, and do not have collaborative perception service capabilities

[0008] 2) The service node device in the wireless edge domain network has a relatively strong ability to sense, monitor and provide data communication services to the fixed (static) service object devices that are connected wirelessly around them, but for mobile access service object devices (especially the number of large) lack of dynamic perception service capability; due to the lack of flexible wireless perception mode management and weak wireless collaborative service capability, the edge domain network lacks efficient services with compatibility and continuity for the service object equipment, and makes the service object Devices often need to pay a higher power consumption price

[0009] 3) The service node device in the wireless edge domain network has a relatively strong ability to provide data communication services (including data collection and upload) to surrounding service object devices, but lacks the ability to deal with on-site event triggers based on associated responses (including previous configuration data processing, analysis and identification, judgment and decision-making and response processing); due to the need to upload a large amount of collected redundant data to the system host, the real-time performance, reliability and service capacity of the service (referring to the same edge domain or service node device reduction in the number of devices that can be served in parallel at the same time)

[0010] 4) Between the service node devices in the wireless edge domain network and the user's smart phone that dynamically moves in, there is a lack of more synergy when performing information interaction and services for the user-bound or associated service object devices. Most rely on the user's smart phone to connect to its associated accessory equipment for data communication upload and remote scheduling communication services, resulting in a decline in the synergy, flexibility, compatibility and real-time performance of services

[0011] 5) The monitoring and collection data processing and application service management of the service object equipment mainly rely on the user to bind the smartphone and the system host / server, but lack the necessary on-site collaborative processing capabilities; There is a lack of more effective correlation management between monitoring and collection information and these information and shared related information (such as location, environment, events), which leads to service coordination, timeliness, and ability to perceive various related information and events on site or a decrease in efficiency

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