CAJ | 학술논문

为了提高建筑环境水资源优化分配这一目标，提出一种基于语义服务、多智能体和CPS（ Cyber-Physical Systems）系统的水资源分配模型。模型中将语义服务与智能体相结合，利用语义转换的机理分析外界环境信息并提取可利用的目标信息，为粒子群决策算法提供数据来源，以此来实现决策目标的最优化处理，由多智能体对硬件设施进行控制。通过水资源分配模型的建立与试验性应用，论证了在资源优化分配中，CPS系统下的语义智能体结构与粒子群算法的结合对水资源系统调度的稳定性、决策性和速度等方面有进一步的提高。
위료제고건축배경수자원우화분배저일목표，제출일충기우어의복무、다지능체화CPS（ Cyber-Physical Systems）계통적수자원분배모형。모형중장어의복무여지능체상결합，이용어의전환적궤리분석외계배경신식병제취가이용적목표신식，위입자군결책산법제공수거래원，이차래실현결책목표적최우화처리，유다지능체대경건설시진행공제。통과수자원분배모형적건립여시험성응용，론증료재자원우화분배중，CPS계통하적어의지능체결구여입자군산법적결합대수자원계통조도적은정성、결책성화속도등방면유진일보적제고。
To improve optimised water resources allocation in building environment, we present a water resources allocation model which is based on semantic service, multi-agents and CPS system.In the model, semantic service is combined with agent, semantic translation mechanism is used to analyse external environment information and to extract useful target information, it is for providing data resources for PSO decision algorithm, so as to implement the optimised decision target processing, and to control the physical infrastructure by the agent. Through building water allocation system model and its pilot applications, we demonstrate that in optimised resources allocation, the combination of semantic agent structure and PSO in CPS system achieves the improvement in stability, decision-making property and speed of the water resources scheduling.