林木智能化火灾预警系统设计-基于物联网和图像处理

Design of Forest Intelligent Fire Early Warning System Based on Internet of Things and Image Processing

在大型种植林木果园,由于林木的密集性,在遇到干旱气候条件时容易发生火灾,为了保证林木果园的安全性,保障果园作业的顺利进行,需要对果园林木进行实时监测,在发生火灾时及时地进行灭火。为此,基于物联网和图像处理技术,将智能化火灾预警机器人引入到了果园林木火灾的识别上,并模拟农业果园林木环境对机器人火灾识别的准确率进行了测试。将测试结果和实际测量结果进行了对比,对比结果发现:采用物联网和图像处理技术对火灾的智能预测模拟结果和实际测量结果接近,在短时间内可以达到较高的预测精度。

In large-scale planting orchard,due to the density of trees,it is easy to have fire when encountering dry climate conditions.In order to ensure the safety of the orchard and ensure the smooth operation of the orchard,it is necessary to carry out real-time monitoring on the orchard trees and put out the fire in time when there is a fire.Based on the Internet of things and image processing technology,the intelligent fire early-warning robot is introduced to the identification of orchard forest fire,and the accuracy of the robot fire identification is tested by simulating the agricultural orchard forest environment.Finally,the test results are compared with the actual measurement results.From the comparison results,it is found that the intelligent prediction of fire is based on the Internet of things and image processing technology.The simulation results are close to the actual measurement results,and it can achieve high prediction accuracy in a short time.