区域森林资源宏观决策支持系统框架设计

该文针对区域森林资源的主要宏观决策问题设计了决策支持系统DSSMRFR的总体框架 .包括 :①从实用性角度出发 ,对DSSMRFR的功能框架进行设计 ,主要包括信息支撑、指标预测、综合评价、分析诊断、优化调控、动态模拟和战略规划等 7个功能子系统 ;②设计了DSSMRFR的基本框架结构 ,包括人机接口、问题处理系统、知识库、数据库、模型库和方法库等     

Forage Species Suitability Mapping for China Using Topographic, Climatic and Soils Spatial Data and Quantitative Plant Tolerances

Selecting plants adapted to the climatic and soil conditions of specific locations is essential for environmental protection and economic sustainability of agricultural and pastoral systems. This is particularly true for countries like China with a diversity of climates and soils and intended uses. Currently, proper species selection is difficult due to the absence of computer-based selection tools. Climate and soil GIS layers, matched with a matrix of plant characteristics through rules describing species tolerances would greatly improve the selection process. Better matching will reduce environmental hazards and economic risks associated with sub-optimal plant selection and performance. GIS-based climate and soil maps have been developed for China. A matrix of quantitative species tolerances has been developed for example forage species and used in combination with an internet map server that allows customized map creation. A web-based decision support system has been developed to provide current information and links to original data sources, supplementary materials, and selection strategies.     

奶牛生产管理决策支持系统的实现

本文研究了黑龙江垦区奶牛生产管理决策支持系统的设计和构建方法。在此基础上，编制了系统实现的程序，为奶牛生产管理的科学决策提供技术支持。     

The Design and Development of OLAP System for Securities Analysis

To improve the quality of services ,especially the quality of information services is the most important factor which hels securities companies to win the furious competition. Many securities companies can' t use their mass history data very well. The company exists many database environment, so it's very difficult to integrate the different data resources. OLAP technology provides a good resolution for this matter. Through using Data Warehouse , OLAP technology ,theory of DSS and securities analysis, this paper provides a system resolution of securities analysis OLAP system, and through this system to aid management decision and provides better information services for customers.     

改善农田与输配水系统性能的DSS模型应用研究

应用具有决策支持系统(DSS)功能的SEDAM模型模拟黄河下游簸箕李引黄灌区的灌溉需求与渠系输配水状况,利用节水多准则分析方法评价农田与输配水系统的改善方案。以田间实测的各类典型数据资料为基础,采用随机方法生成与田间和各级渠道相关的数据,产生用于多准则分析的属性数据和性能指标。根据不同水平的与农田及输配水系统相关的决策变量,设计了8种用于改善农田与输配水系统的模拟方案,通过模拟的需水量与现状供水量之间的对比以及模拟的各类效用值随时间变化的趋势,对模拟结果进行分析。结果表明,采用改善的农田与输配水系统运行方案可有效地减少渠系渗漏量,较好地控制农田渗漏损失,利用田间径流排水作为补灌水源,达到节水增产、改善农田生态环境的目的。     

Advances in farming systems analysis and intervention

In this paper, we recognize two key components of farming systems, namely the bio-physical ‘Production System’ of crops, pastures, animals, soil and climate, together with certain physical inputs and outputs, and the ‘Management System’, made up of people, values, goals, knowledge, resources, monitoring opportunities, and decision making. Utilising upon these constructs, we review six types of farming systems analysis and intervention that have evolved over the last 40 years, namely: (1) economic decision analysis based on production functions, (2) dynamic simulation of production processes, (3) economic decision analysis linked to biophysical simulation, (4) decision support systems, (5) expert systems, and (6) simulation-aided discussions about management in an action research paradigm. Biophysical simulation modelling features prominently in this list of approaches and considerable progress has been made in both the scope and predictive power of the modelling tools. We illustrate some more recent advances in increasing model comprehensiveness in simulating farm production systems via reference to our own group's work with the Agricultural Production Systems Simulator (APSIM). Two case studies are discussed, one with broad-scale commercial agriculture in north-eastern Australia and the other with resource poor smallholder farmers in Africa. We conclude by considering future directions for systems analysis efforts directed at farming systems. We see the major challenges and opportunities lying at the interface of ‘hard’, scientific approaches to the analysis of biophysical systems and ‘soft’, approaches to intervention in social management systems.     

实时灌溉预报与灌溉用水决策支持系统研究与应用

实时灌溉预报与灌溉用水决策支持系统的应用是指导适时适量灌溉,促进灌区节水,推动灌溉管理走向现代化、自动化、智能化的重要手段和主要途径之一。详细介绍了新一代实时灌溉预报及灌溉用水决策支持系统的基本功能、系统结构及主要数学模型。与现有的灌溉管理软件相比,本系统具有以下特点:增加了中长期产量、灌溉需水量的预报功能,通过水分生产函数优选灌水方案;不再以每旬的第一天作为固定的预报起始时间,而是以任意一天为基础对未来10d实时灌溉预报;支持用户需求模式,统计用水户的灌溉需求,自动制定配水方案;支持配水人工干预功能,人机交互更灵活、密切。实际应用表明,本系统可实现适时、适量灌溉,为灌区灌溉用水管理提供了科学依据。     

决策支持系统及其在农业机械化管理中的应用

介绍了决策支持的概念及功能,分析了决策支持系统(Decision Support System,简称DSS)在农业机械化领域应用的必要性,阐述了DSS在我国农业机械化领域应用的现状、存在问题,指出了农业机械化DSS的发展趋势.     

房地产项目决策支持系统

以房地产项目经营管理为研究对象 ,阐述了信息技术应用于房地产项目经营管理的必要性与现实性 ,进而在 MIS应用的基础上分析房地产项目信息 (库 )的结构特征 ,提出了房地产项目决策支持系统     

基于ASP.NET技术的奶牛咨询决策支持系统的设计与开发

根据黑龙江省畜牧业发展现状,特别是奶牛养殖业急需实现科学养殖的实际情况,建设一个基于ASP.NET网络开发新技术的、全面的、详尽的、真正为龙江奶户提供信息服务和动态决策支持的系统.它是将DSS与MIS相溶合,结合数据仓库(DW),联机分析处理(OLAP),数据挖掘(DM)和专家系统等技术的综合决策支持系统(SDSS),兼具网络浏览功能和本机决策功能,可在传播科学养牛新技术的同时,提供参考性历史数据和辅助决策,其应用和推广必将提高黑龙江省畜牧业养殖人员的知识层次和技术水平,加速推动黑龙江省畜牧业的发展进程.