Research On Prediction Of Water Flowing Fractured Zone Based On Internet Of Things Sensing

China’s rapid economic development is based on energy, so today’s society for energy demand continues to increase, which led to the consumption of coal in China is growing, and gradually extended to the West. Considering the present situation of the ecological environment in the west of China, the lack of water resources and the serious desertification of the land must be done to protect the water. Accurate prediction of water flowing fractured zone height development can well protect the water resources guide, now of fissure water with highly predictive mainly uses the "rules" of experience formula, this method in the highly predictive exist great error, so we must find a more accurate and effective method to solve this problem.This paper mainly through the use of the Internet of things and the combination of multiple regression analysis method to predict the height of hydraulic conductivity fractured zone. Internet of things technology applied to coal mining, so that it really embarked on a comprehensive technology mining. The data collected by the Internet of things is more accurate and effective, and the error is removed. Through the integration of data, we need to get the data. Multiple regression analysis is to use a linear method to sum up, we want to draw the prediction formula.Based on the Internet of things sensing technology to predict the height of hydraulic conductivity fractured zone, which provides ideas and methods for our future research.