基于模型驱动的省级林业有害生物灾害监测与预警平台  

A Provincial Level Monitoring and Warning Platform for Forest Pest Based on Model Driven Architecture

作　　者：王志宝[1] 刘丽[1] 常原飞[1] 乔彦友[1] 文必龙[2] 

机构地区：[1]中国科学院遥感应用研究所,北京100101 [2]东北石油大学

出　　处：《东北林业大学学报》2013年第7期155-159,167,共6页Journal of Northeast Forestry University

基　　金：国家科技支撑计划项目(2006BAD23B04);国家"863"计划项目(2008AA12Z203)

摘　　要：针对省级林业有害生物灾害监测与预警系统建设中,各省需求不一致,单省需求变化快的问题,借鉴OMG的MDA软件开发方法,提出了软件运行期元数据模型驱动的系统架构。针对流程管理、WebGIS、动态表单需求,给出了FPM-BPM元模型、FPM-GIS元模型、FPM-Form元模型,开发了基于元模型的建模工具、执行引擎,最后采用模型组装的方式实现业务系统构造。原型验证及工程实践证明:平台具有良好的适应性,可快速定制随需演化,有效支撑省级林业部门的有害生物灾害监测与预警业务。The provincial level forestry pest monitoring and early warning information system is a necessary part of the national monitoring systems.In fact,different provinces have different business process and management mode that leads to differences in system requirements.According to OMG＇s MDA development methodology,the metadata model-driven architecture is put forward in software runtime.FPM-BPM metamodel,FPM-GIS metamodel and FPM-Form metamodel are designed for process management,WebGIS and dynamic forms.The modeling tools and model execution engines are developed based on those three metamodels.The monitoring system can be constructed by model assembling.The platform has good adaptability,and can be customized quickly.It can effectively support the pest disaster monitoring and warning for provincial forestry departments.

关 键 词：林业有害生物监测 模型驱动 软件定制开发 WEBGIS 元模型 

分 类 号：S763[农业科学—森林保护学] TP311[农业科学—林学]