摘要
大数据是指超出传统数据库软件工具的抓取、存储、管理和分析能力的数据群,具有大量化、多样化、快速化和价值的特征,大数据技术对海量数据进行存储、分析和展示。本文阐述了森工行业在分析森林资源、森林环境、森工产品、森工服务,以及森工科研上对大数据的需求,以支持资源调查、建设规划和开发利用设计,采集、分析和预测森林环境因子,优化木材和林特产品生产和供应,规划森工服务项目和产品的开发和管理。从政府监控、数据开放服务、森工生产、森林工程研究方面分析了大数据在森工行业的应用前景。具体阐述了国外林产物流供应链管理的MHG系统大数据应用案例,以及大数据对森工科研的数据采集、管理、分析、输出的数据密集型科技支持途径。
Big Data is a group of data beyond the capacity of traditional database software tools to grab,store,manage and analyze. Big Data is characterized by great quantity,diversification,fast and value. Big Data technology can store,analyze and display massive data. Forest engineering has great demands on Big Data in the analysis of forest resources,forest environment,forest products and forest engineering services,as well as in scientific research. Big Data can support the survey,planning and utilization design of forest resources. With the help of Big Data,the forest environment factors can be collected,analyzed and predicted; the production and supply of timber and forest products can be optimized; the forest service projects can be developed and planned. The application of Big Data in the fields of government＇s monitoring,data opening services,forest production analysis and forest engineering researches was prospected. Specifically,the application case of Big Data in the forestry supply chain management with MHG system was elaborated. The way of data-intensive science and technology support with Big Data to the collection,management,analysis and output of research data was given.
出处
《森林工程》
2016年第3期32-35,39,共5页
Forest Engineering
基金
江苏高校优势学科建设工程资助项目(PAPD)
关键词
大数据
森林工程
物联网
数据开放
发展展望
Big Data
forest engineering
Internet of Things
data opening
development trend
