摘要
目前林业生态资源保护存在涉林案件数目较多,林业生态资源数据分析效果有待提升、林业生态资源保护方法单一问题。大数据技术的使用,可为目前林业生态资源保护问题开辟新的管理途径。为此,文章研究基于大数据的林业生态资源保护系统,系统由多维度感知层、大数据平台层、多层级应用层构成。多维度感知层使用卫星监测、无人机(林业航空监测)、视频监控、火灾监测等多种感知方法,全天、实时、多维度监控林业生态资源状态;大数据平台层使用Kohonen神经网络模型,诊断多维度监控的林业生态资源样本是否存在异常,出现异常情况,便由多层级应用层进行联动预警,提高林业生态资源异常保护的智能性。
At present,there are a large number of forest related cases in the protection of forestry ecological resources,significant pressure on the protection of forestry ecological resources,and single methods for protecting forestry ecological resources.The use of Big data technology can open up a new management approach for the protection of forestry ecological resources at present.Therefore,this paper studies the forest ecological resource protection system based on Big data,which is composed of multi-dimensional perception layer,Big data platform layer and multi-level application layer.The multi-dimensional perception layer uses various sensing methods such as satellite monitoring,unmanned aerial vehicles(forestry aviation monitoring),video monitoring,fire monitoring,etc.to monitor the status of forestry ecological resources in real-time and multi-dimensional throughout the day;The Big data platform layer uses the Kohonen neural network model to diagnose whether there is any abnormality in the samples of forestry ecological resources monitored in multiple dimensions.If there is any abnormality,the multi-level application layer will carry out linkage early warning to improve the intelligence of abnormal protection of forestry ecological resources.
作者
吴继英
Wu Jiying(Libo County Forestry Bureau,Qiannan 558000,Guizhou,China)
出处
《林业科技情报》
2024年第1期71-73,共3页
Forestry Science and Technology Information
