id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-4085	Cai, Jiaowu; Liu, Peng; Li, Liangyu	Pipeline gas leakage early warning system based on wireless sensor network	2022	5	.pdf	application/pdf	3350	143	51	The data acquisition and storage module consist of sensors, intelligent gateway and MySQL database to complete the real-time 54 collection and storage function of household pipeline gas data; the prediction module is fuzzy-Random forest model is responsible for dynamically predicting the gas leakage level of household pipeline. Therefore, the above six types of data are selected as the monitoring indicators of the dynamic early warning model of household pipeline gas leakage, based on the Code for Design of Urban Gas (GB50028-2006) and the index number and value range of the sensors used, see Table 1.	cache/fcis-4085.pdf	txt/fcis-4085.txt