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基于Agent的城市河流水环境智能决策支持系统关键技术研究
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摘要
随着社会经济的发展及人口的增加,城市河流水环境污染问题日益严重,越来越引起社会各界的关注。如何帮助城市管理者及决策者及时地掌握当前城市河流水质情况,快速了解各种城市水环境相关政策、治理工程措施实施后的城市河流水质情况,以及预测在当前社会经济人口的发展速度下未来几年的水质变化情况,已经成为城市河流水环境亟待解决的关键性问题。
     本文就该关键性问题,提出了基于Agent技术来建立城市河流水环境智能决策支持系统(Urban River Water Environment Intelligent Decision Support System——URWEIDSS)的思想,并对其中的关键技术进行了研究。
     本文首先分析了城市河流水环境决策支持系统的发展现状及所采用的技术,并针对传统的解决方案不足以解决包含管理者、排污者、河道水体等实体在内的复杂大系统水质仿真等问题,提出了基于Agent技术的URWEIDSS结构框架,该结构充分利用了软件Agent的自治性、社会性和分布性,能够较为准确地描述城市河流水环境实体如城市水源、排污企业、管理部门等之间的相互关系,并可以对这种关系进行模拟仿真,起到更好的决策支持能力。
     其次,根据对城市河流水环境中所存在实体进行的抽象及任务分解,分别对城市河流水环境实体如排污企业、城市水环境管理部门及城市河流水体等进行了Agent建模,并结合流域水污染控制理论及决策理论,对城市河流水环境中存在的Agent实体进行了详细的任务分配及结构设计,为实现基于Agent的URWEIDSS奠定了理论基础。
     再次,分析了现有城市河流水质数值仿真所存在的不足,提出了基于Agent的城市河流水质数值仿真模型,并基于这种城市河流水质数值仿真模型,提出了采用模块化、拖拉式的方式进行城市河流水质仿真的方法。并结合面向对象的编程思想,解决了实现模块化、拖拉式城市河流水质仿真的关
With the development of the social, economic and population explosion, the pollution of the URWE (Urban River Water Environment) is getting worse and worse, all circles' attention is increasingly focused on it. How to help the governor and decision-maker of the city to betimes master the river water quality information of the city, to realize fleetly the river water quality after the interrelated policy and father project had implemented, to forecast the change of the water quality in some years at the tempo, this had been the sixty-four-dollar question of the URWE.This article focuses on the sixty-four-dollar question, bringing forward the thinking of setting up the Urban River Water Environment Intelligent DecisionSupport System--URWEIDSS based on Agent,and the key technique wasdisscussed.Firstly, the status quo of the development and the adoptive technique of the URWEDSS (Urban River Water Environment Decision Support System) is analyzed primarily in this article, and aimed at the limitation of the traditional URWEDSS, which couldn't solve the water quality simulation of the complicated system including the internal relationship of the governor、 polluter、 river water body and so on, the frame of the URWEIDSS based on Agent is given. The autonomy、 sociality、 distributing of the software Agent was fully used in this frame, this can well and truly describe the interrelation of the URWE entities such as urban water resource、 pollution enterprise、 governor and so on, and with the simulation of this interrelation can improve the capability of the system to support the decision-making.Secondly, based on the abstract and assignment decomposition of the entities included in the URWE, the Agent model of the URWE entities such as pollution
    enterprise、 governor and water body was built, and combined with the theory of drainage basin water pollution control and decision-making, the assignment allotment and frame design of the Agent included in the URWE was made in detail, the theory foundation was established to achieve the URWEIDSS based on Agent.Again, the insufficiency of the existing numerical simulation of city river water quality was analyzed, the numerical simulation way based on Agent was put forward, and based on this way , the blocking、 Pull-alongs method of numerical simulation of urban river water quality was given. And combined with Object Oriented program thinking, the key technique of this method was solved.And finally, the experiments about the load weakening scheme selection of the Industry-Agent based on Analytical Hierarchy Process、 the load allotment of the Decision-making-Agent based on contribution of the load and benefit、 the prediction of the water pollution control scheme based on Scenario Analysis、 the water quality simulation and forecast of the URWEIDSS based on Agent were designed, the feasibility and the practicability of those methods given in this article had been validated by those experiments.This article was completed based on the project--Water EnvironmentManagement and Decision-making Support and Simulation System of central city of Chengdu ,which was assigned by People's Government of Chengdu .fulfilled by CASIC Ecosystem Simulation Beijing CO.LTD and Environmental research institute of Chengdu.
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