The Research Of Compressed Sensing Algorithm In Things Of Mine

As a new hot research field, Internet of Things(IoT) in mine integrates sensor technology,microelectronics systems,wireless communication and distributed information processingtechnology.It used WSN technology into coal mine environment and increases the security andvisibility of the mine,so it changed the traditional mining practices.Compressed sensing theory(CS)brings revolutionary breakthrough for signal acquisition.Through well below Nyquist sampling frequency of the signal and accurate reconstructed bynumerical optimization problems.CS theory has set off a wave in signal processing and otherareas though it isn't very perfect,It provided new idea and methods for many unsolvedproblems.CS theory has strong vitality and will create a more broad application prospects.This paper introduced the advantages of CS theory that used in IoT of mine by comparedwith other data fusion technology,and analysised the remaining problems.For the mineenvironment, the paper introduced a improved scheme, namely WT-LSC CS theory.Thisalgorithm removed the time and spatial correlation of LSC data matrix respectively throughwavelet transform.It can reduce the energy consumption issues of data compression,communication and other aspects.Finally,the paper used temperature and humidity data to simulate the improved WT-LSC CStheory in this paper based on matlab platform to test the reliability and validity,then comparedwith traditional algorithm.The result showed that the improved algorithm can improve theaccuracy of the signal reconstruction and reduce energy consumption obviously.