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An ontology-based system to support agent-based simulation of building use

机译:基于本体的系统,支持基于代理的建筑使用模拟

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The prediction and evaluation of future building response to its intended use and users is a complex task that designers have to face during the design process. As matter of fact, few methods exist that can help designers in such task, despite its importance in the definition of the building quality; norms and regulations, personal designer’s experience, post-occupancy evaluation have shown their limit to provide predictive models of the complex phenomenon of human behaviour in built environments . With the increasing of computing power, virtual simulation techniques have been introduced in building design to control, manage and predict complex systems of building performances such as its energy or structural behaviour, but not to representation of buildings while-in-use. The Agent-Based Modelling and Simulation (ABMS) paradigm has been applied in building design to simulation of specific aspects of human behaviour and in specific occurrences (for instance in fire egress simulations), while a more extensive representation of users actions, behaviours, and activities is still missing. In order to overcome this lack, in this paper we propose to support agent-based simulation with a knowledge base, developed by means of ontologies and able to provide a structured system of data about human-building interaction, useful as start hypotheses for Agent-based Simulation. For its development, we rely on the general template of building knowledge management already proposed by the research group (Carrara et al., 2009), extending it to representation of the whole system users-built environment. The proposed general template, configured by the meaning – properties – rules structure, allows the formalization of users/agents entities, whose parameter, attributes and behavioural rules can encode several ‘aspects’ of real users and their interactions with the other entities (building components, furniture, other people) in a built environment. Currently, a first application has been developed dealing with the virtually testing of a small hospital ward, in order to evaluate the reliability and the potentiality of such approach.
机译:对建筑物的预期用途和用户的未来响应的预测和评估是设计人员在设计过程中必须面对的一项复杂任务。实际上,尽管在定义建筑质量方面很重要,但很少有方法可以帮助设计师完成这项任务。规范和法规,个人设计师的经验,使用后评估已显示出其局限性,无法为建筑环境中人类行为的复杂现象提供预测模型。随着计算能力的提高,已经在建筑物设计中引入了虚拟仿真技术,以控制,管理和预测复杂的建筑物性能系统,例如其能量或结构行为,但并不表示建筑物在使用中。基于代理的建模与仿真(ABMS)范式已用于建筑设计中,以模拟人类行为的特定方面和特定事件(例如,在消防出口模拟中),同时更广泛地表示用户的行为,行为和行为。活动仍然缺失。为了克服这一不足,在本文中,我们建议以知识库为基础,通过本体论来支持基于代理的仿真,并能够提供有关人与人之间交互作用的结构化数据系统,可用作代理-基于模拟。对于它的发展,我们依靠研究小组已经提出的建筑知识管理的通用模板(Carrara等,2009),并将其扩展到代表整个系统用户构建的环境。提议的通用模板由含义-属性-规则结构配置,允许用户/代理实体的形式化,其参数,属性和行为规则可以对真实用户的多个“方面”及其与其他实体(建筑组件)的交互进行编码(家具,其他人)。当前,已经开发了处理小型医院病房的虚拟测试的第一个应用程序,以评估这种方法的可靠性和潜力。

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