A method and system for fault tracking and location based on the Internet of Things

Abstract

The invention provides a fault tracking and positioning method based on the Internet of Things, comprising the following steps: constructing a multi-dynamic sensor network; coupling an anti-swarming distributed cooperative search algorithm and a multi-Bernoulli filtering algorithm to realize fault tracking and obtain real-time sensor data; Establish a weight clustering analysis model for the sensor data of historical normal samples, and calculate the control limit of the control quantity; perform fault detection on the acquired real-time sensor data according to the established weight cluster analysis model and control quantity, filter out the fault data segment and Obtain the corresponding control quantity; build a random forest classification regression algorithm based on the process variable and control quantity of the fault data segment; obtain the variable importance measure of the process variable through the random forest classification regression algorithm, and determine the fault variable according to the variable importance measure. Positioning, the method provided by the present invention has high tracking and positioning accuracy, and has obvious advantages.

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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