Fault tracking and positioning method and system based on Internet of Things

Abstract

The invention provides a fault tracking and positioning method based on the Internet of Things. The method comprises the following steps: constructing a multi-dynamic sensor network; coupling an anti-swarm distributed collaborative search algorithm and a multi-Bernoulli filtering algorithm to realize fault tracking and acquiring real-time sensor data; establishing a weight clustering analysis model for sensor data of a historical normal sample, and calculating to obtain a control limit of a control quantity; performing fault detection on the acquired real-time sensor data according to the established weight clustering analysis model and the control quantity, screening out a fault data segment, and obtaining a control quantity corresponding to the fault data segment; constructing a random forest classification regression algorithm based on the process variable and the control quantity of the fault data segment; acquiring a variable importance measurement of the process variable through the random forest classification regression algorithm, and determining a fault variable according to the variable importance measurement for fault positioning. The method provided by the invention has high tracking and positioning precision and obvious superiority.

Description

technical field [0001] The present invention relates to the field of Internet of Things analysis, in particular to a fault tracking and positioning method and system based on the Internet of Things. Background technique [0002] The Internet of Things is a concept that has gradually emerged in recent years. It connects people and things in the real world through various sensing devices and networks. Due to the ubiquity of equipment and its ability to perceive targets, the Internet of Things can be applied in aerospace, intelligent buildings, medical health, manufacturing, military, environmental monitoring, entertainment multimedia, and transportation. The intelligent transportation system of the Internet of Things technology can avoid traffic congestion and maximize the use of the road network. One of the foundations of the above applications is to realize target positioning and tracking based on the Internet of Things. For example, in the medical and health field, it is n...

AI Technical Summary

Problems solved by technology

[0003] However, based on radar and sensor networks at this stage, people have proposed many effective target positioning and tracking algorithms, but this scenario requires the target to be under the monitoring of the sensing device at all times. This condition makes the sensing device sparse or damaged. The accuracy of location tracking is greatly reduced

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