A Perceptron Algorithm for Forest Fire Prediction Based on Wireless Sensor Networks

• 作者: Demin Gao Haoran Zhu Shuo Zhang
• 来源期刊: 物联网杂志(英文)
• 学科: 工学
• 关键词: PERCEPTRON FOREST FIRE PREDICTION WIRELESS SENSOR networks lora
• 年，卷（期）: wlwzzyw_2019,（1）
• 页码范围: 25-31
• 页数: 7页
• 分类号: TN9

摘要

Forest fire prediction constitutes a significant component of forestmanagement. Timely and accurate forest fire prediction will greatly reduce property andnatural losses. A quick method to estimate forest fire hazard levels through knownclimatic conditions could make an effective improvement in forest fire prediction. Thispaper presents a description and analysis of a forest fire prediction methods based onmachine learning, which adopts WSN (Wireless Sensor Networks) technology andperceptron algorithms to provide a reliable and rapid detection of potential forest fire.Weather data are gathered by sensors, and then forwarded to the server, where a firehazard index can be calculated.